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MINOR: revert KIP-770 (#12383) 

KIP-770 introduced a performance regression and needs some re-design.

Needed to resolve some conflict while reverting.

This reverts commits 1317f3f77a and 0924fd3f9f.

Reviewers:  Sagar Rao <sagarmeansocean@gmail.com>, Guozhang Wang <guozhang@confluent.io>
This commit is contained in:
Matthias J. Sax 2022-07-07 11:19:37 -07:00 committed by GitHub
parent a521bbd755
commit 38b08dfd33
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23
75 changed files with 189 additions and 1080 deletions
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2
checkstyle/suppressions.xml
View File

@ -188,7 +188,7 @@
files="StreamsMetricsImpl.java"/>
<suppress checks="NPathComplexity"
files="(GlobalStateManagerImpl|KafkaStreams|KStreamImplJoin|StreamsPartitionAssignor|StreamThread|TaskManager|TopologyConfig).java"/>
files="(KafkaStreams|StreamsPartitionAssignor|StreamThread|TaskManager|GlobalStateManagerImpl|KStreamImplJoin).java"/>
<suppress checks="(FinalLocalVariable|UnnecessaryParentheses|BooleanExpressionComplexity|CyclomaticComplexity|WhitespaceAfter|LocalVariableName)"
files="Murmur3.java"/>

2
streams/examples/src/main/java/org/apache/kafka/streams/examples/pageview/PageViewTypedDemo.java
View File

@ -179,7 +179,7 @@ public class PageViewTypedDemo {
props.put(StreamsConfig.DEFAULT_TIMESTAMP_EXTRACTOR_CLASS_CONFIG, JsonTimestampExtractor.class);
props.put(StreamsConfig.DEFAULT_KEY_SERDE_CLASS_CONFIG, JSONSerde.class);
props.put(StreamsConfig.DEFAULT_VALUE_SERDE_CLASS_CONFIG, JSONSerde.class);
props.put(StreamsConfig.STATESTORE_CACHE_MAX_BYTES_CONFIG, 0);
props.put(StreamsConfig.CACHE_MAX_BYTES_BUFFERING_CONFIG, 0);
props.put(StreamsConfig.COMMIT_INTERVAL_MS_CONFIG, 1000L);
// setting offset reset to earliest so that we can re-run the demo code with the same pre-loaded data

2
streams/examples/src/main/java/org/apache/kafka/streams/examples/pageview/PageViewUntypedDemo.java
View File

@ -60,7 +60,7 @@ public class PageViewUntypedDemo {
props.put(StreamsConfig.APPLICATION_ID_CONFIG, "streams-pageview-untyped");
props.put(StreamsConfig.BOOTSTRAP_SERVERS_CONFIG, "localhost:9092");
props.put(StreamsConfig.DEFAULT_TIMESTAMP_EXTRACTOR_CLASS_CONFIG, JsonTimestampExtractor.class);
props.put(StreamsConfig.STATESTORE_CACHE_MAX_BYTES_CONFIG, 0);
props.put(StreamsConfig.CACHE_MAX_BYTES_BUFFERING_CONFIG, 0);
// setting offset reset to earliest so that we can re-run the demo code with the same pre-loaded data
props.put(ConsumerConfig.AUTO_OFFSET_RESET_CONFIG, "earliest");

2
streams/examples/src/main/java/org/apache/kafka/streams/examples/temperature/TemperatureDemo.java
View File

@ -77,7 +77,7 @@ public class TemperatureDemo {
props.put(StreamsConfig.DEFAULT_VALUE_SERDE_CLASS_CONFIG, Serdes.String().getClass());
props.put(ConsumerConfig.AUTO_OFFSET_RESET_CONFIG, "earliest");
props.put(StreamsConfig.STATESTORE_CACHE_MAX_BYTES_CONFIG, 0);
props.put(StreamsConfig.CACHE_MAX_BYTES_BUFFERING_CONFIG, 0);
final Duration duration24Hours = Duration.ofHours(24);

2
streams/examples/src/main/java/org/apache/kafka/streams/examples/wordcount/WordCountDemo.java
View File

@ -61,7 +61,7 @@ public final class WordCountDemo {
}
props.putIfAbsent(StreamsConfig.APPLICATION_ID_CONFIG, "streams-wordcount");
props.putIfAbsent(StreamsConfig.BOOTSTRAP_SERVERS_CONFIG, "localhost:9092");
props.putIfAbsent(StreamsConfig.STATESTORE_CACHE_MAX_BYTES_CONFIG, 0);
props.putIfAbsent(StreamsConfig.CACHE_MAX_BYTES_BUFFERING_CONFIG, 0);
props.putIfAbsent(StreamsConfig.DEFAULT_KEY_SERDE_CLASS_CONFIG, Serdes.String().getClass().getName());
props.putIfAbsent(StreamsConfig.DEFAULT_VALUE_SERDE_CLASS_CONFIG, Serdes.String().getClass().getName());

2
streams/examples/src/main/java/org/apache/kafka/streams/examples/wordcount/WordCountProcessorDemo.java
View File

@ -108,7 +108,7 @@ public final class WordCountProcessorDemo {
props.putIfAbsent(StreamsConfig.APPLICATION_ID_CONFIG, "streams-wordcount-processor");
props.putIfAbsent(StreamsConfig.BOOTSTRAP_SERVERS_CONFIG, "localhost:9092");
props.putIfAbsent(StreamsConfig.STATESTORE_CACHE_MAX_BYTES_CONFIG, 0);
props.putIfAbsent(StreamsConfig.CACHE_MAX_BYTES_BUFFERING_CONFIG, 0);
props.putIfAbsent(StreamsConfig.DEFAULT_KEY_SERDE_CLASS_CONFIG, Serdes.String().getClass());
props.putIfAbsent(StreamsConfig.DEFAULT_VALUE_SERDE_CLASS_CONFIG, Serdes.String().getClass());

2
streams/examples/src/main/java/org/apache/kafka/streams/examples/wordcount/WordCountTransformerDemo.java
View File

@ -131,7 +131,7 @@ public final class WordCountTransformerDemo {
}
props.putIfAbsent(StreamsConfig.APPLICATION_ID_CONFIG, "streams-wordcount-transformer");
props.putIfAbsent(StreamsConfig.BOOTSTRAP_SERVERS_CONFIG, "localhost:9092");
props.putIfAbsent(StreamsConfig.STATESTORE_CACHE_MAX_BYTES_CONFIG, 0);
props.putIfAbsent(StreamsConfig.CACHE_MAX_BYTES_BUFFERING_CONFIG, 0);
props.putIfAbsent(StreamsConfig.DEFAULT_KEY_SERDE_CLASS_CONFIG, Serdes.String().getClass());
props.putIfAbsent(StreamsConfig.DEFAULT_VALUE_SERDE_CLASS_CONFIG, Serdes.String().getClass());

77
streams/src/main/java/org/apache/kafka/streams/KafkaStreams.java
View File

@ -109,7 +109,6 @@ import static org.apache.kafka.streams.StreamsConfig.METRICS_RECORDING_LEVEL_CON
import static org.apache.kafka.streams.errors.StreamsUncaughtExceptionHandler.StreamThreadExceptionResponse.SHUTDOWN_CLIENT;
import static org.apache.kafka.streams.internals.ApiUtils.prepareMillisCheckFailMsgPrefix;
import static org.apache.kafka.streams.internals.ApiUtils.validateMillisecondDuration;
import static org.apache.kafka.streams.internals.StreamsConfigUtils.getTotalCacheSize;
import static org.apache.kafka.streams.processor.internals.ClientUtils.fetchEndOffsets;
import static org.apache.kafka.streams.processor.internals.TopologyMetadata.UNNAMED_TOPOLOGY;
@ -176,7 +175,6 @@ public class KafkaStreams implements AutoCloseable {
protected final Admin adminClient;
private final StreamsMetricsImpl streamsMetrics;
private final long totalCacheSize;
private final long inputBufferMaxBytes;
private final StreamStateListener streamStateListener;
private final StateRestoreListener delegatingStateRestoreListener;
private final Map<Long, StreamThread.State> threadState;
@ -941,9 +939,9 @@ public class KafkaStreams implements AutoCloseable {
streamsUncaughtExceptionHandler = this::defaultStreamsUncaughtExceptionHandler;
delegatingStateRestoreListener = new DelegatingStateRestoreListener();
totalCacheSize = getTotalCacheSize(applicationConfigs);
inputBufferMaxBytes = applicationConfigs.getLong(StreamsConfig.INPUT_BUFFER_MAX_BYTES_CONFIG);
totalCacheSize = applicationConfigs.getLong(StreamsConfig.CACHE_MAX_BYTES_BUFFERING_CONFIG);
final int numStreamThreads = topologyMetadata.getNumStreamThreads(applicationConfigs);
final long cacheSizePerThread = getCacheSizePerThread(numStreamThreads);
GlobalStreamThread.State globalThreadState = null;
if (hasGlobalTopology) {
@ -953,7 +951,7 @@ public class KafkaStreams implements AutoCloseable {
applicationConfigs,
clientSupplier.getGlobalConsumer(applicationConfigs.getGlobalConsumerConfigs(clientId)),
stateDirectory,
0L,
cacheSizePerThread,
streamsMetrics,
time,
globalThreadId,
@ -974,20 +972,14 @@ public class KafkaStreams implements AutoCloseable {
queryableStoreProvider = new QueryableStoreProvider(globalStateStoreProvider);
for (int i = 1; i <= numStreamThreads; i++) {
createAndAddStreamThread(0L, 0L, i);
}
// Initially, all Stream Threads are created with 0 cache size and max buffer size and then resized here.
resizeThreadCacheAndBufferMemory(numStreamThreads);
if (numStreamThreads > 0) {
log.info("Initializing {} StreamThread with cache size/max buffer size values as {} per thread.",
numStreamThreads, getThreadCacheAndBufferMemoryString());
createAndAddStreamThread(cacheSizePerThread, i);
}
stateDirCleaner = setupStateDirCleaner();
rocksDBMetricsRecordingService = maybeCreateRocksDBMetricsRecordingService(clientId, applicationConfigs);
}
private StreamThread createAndAddStreamThread(final long cacheSizePerThread, final long maxBufferSizePerThread, final int threadIdx) {
private StreamThread createAndAddStreamThread(final long cacheSizePerThread, final int threadIdx) {
final StreamThread streamThread = StreamThread.create(
topologyMetadata,
applicationConfigs,
@ -999,7 +991,6 @@ public class KafkaStreams implements AutoCloseable {
time,
streamsMetadataState,
cacheSizePerThread,
maxBufferSizePerThread,
stateDirectory,
delegatingStateRestoreListener,
threadIdx,
@ -1036,7 +1027,7 @@ public class KafkaStreams implements AutoCloseable {
* Since the number of stream threads increases, the sizes of the caches in the new stream thread
* and the existing stream threads are adapted so that the sum of the cache sizes over all stream
* threads does not exceed the total cache size specified in configuration
* {@link StreamsConfig#STATESTORE_CACHE_MAX_BYTES_CONFIG}.
* {@link StreamsConfig#CACHE_MAX_BYTES_BUFFERING_CONFIG}.
* <p>
* Stream threads can only be added if this Kafka Streams client is in state RUNNING or REBALANCING.
*
@ -1047,15 +1038,14 @@ public class KafkaStreams implements AutoCloseable {
final StreamThread streamThread;
synchronized (changeThreadCount) {
final int threadIdx = getNextThreadIndex();
final int numLiveThreads = getNumLiveStreamThreads();
final long cacheSizePerThread = getCacheSizePerThread(numLiveThreads + 1);
log.info("Adding StreamThread-{}, there will now be {} live threads and the new cache size per thread is {}",
threadIdx, numLiveThreads + 1, cacheSizePerThread);
resizeThreadCache(cacheSizePerThread);
// Creating thread should hold the lock in order to avoid duplicate thread index.
// If the duplicate index happen, the metadata of thread may be duplicate too.
// Also, we create the new thread with initial values of cache size and max buffer size as 0
// and then resize them later
streamThread = createAndAddStreamThread(0L, 0L, threadIdx);
final int numLiveThreads = getNumLiveStreamThreads();
resizeThreadCacheAndBufferMemory(numLiveThreads);
log.info("Adding StreamThread-{}, there are now {} threads with cache size/max buffer size values as {} per thread.",
threadIdx, numLiveThreads, getThreadCacheAndBufferMemoryString());
streamThread = createAndAddStreamThread(cacheSizePerThread, threadIdx);
}
synchronized (stateLock) {
@ -1066,9 +1056,9 @@ public class KafkaStreams implements AutoCloseable {
log.warn("Terminating the new thread because the Kafka Streams client is in state {}", state);
streamThread.shutdown();
threads.remove(streamThread);
resizeThreadCacheAndBufferMemory(getNumLiveStreamThreads());
log.info("Resizing thread cache and max buffer size per thread since new thread can not be " +
"started, cache size/max buffer size per thread is {}", getThreadCacheAndBufferMemoryString());
final long cacheSizePerThread = getCacheSizePerThread(getNumLiveStreamThreads());
log.info("Resizing thread cache due to terminating added thread, new cache size per thread is {}", cacheSizePerThread);
resizeThreadCache(cacheSizePerThread);
return Optional.empty();
}
}
@ -1086,7 +1076,7 @@ public class KafkaStreams implements AutoCloseable {
* <p>
* Since the number of stream threads decreases, the sizes of the caches in the remaining stream
* threads are adapted so that the sum of the cache sizes over all stream threads equals the total
* cache size specified in configuration {@link StreamsConfig#STATESTORE_CACHE_MAX_BYTES_CONFIG}.
* cache size specified in configuration {@link StreamsConfig#CACHE_MAX_BYTES_BUFFERING_CONFIG}.
*
* @return name of the removed stream thread or empty if a stream thread could not be removed because
* no stream threads are alive
@ -1101,10 +1091,9 @@ public class KafkaStreams implements AutoCloseable {
* The removed stream thread is gracefully shut down. This method does not specify which stream
* thread is shut down.
* <p>
* Since the number of stream threads decreases, the sizes of the caches and buffer bytes in the remaining stream
* threads are adapted so that the sum of the cache sizes and buffer bytes over all stream threads equals the total
* cache size specified in configuration {@link StreamsConfig#STATESTORE_CACHE_MAX_BYTES_CONFIG} and
* {@link StreamsConfig#INPUT_BUFFER_MAX_BYTES_CONFIG} respectively.
* Since the number of stream threads decreases, the sizes of the caches in the remaining stream
* threads are adapted so that the sum of the cache sizes over all stream threads equals the total
* cache size specified in configuration {@link StreamsConfig#CACHE_MAX_BYTES_BUFFERING_CONFIG}.
*
* @param timeout The length of time to wait for the thread to shutdown
* @throws org.apache.kafka.common.errors.TimeoutException if the thread does not stop in time
@ -1146,9 +1135,10 @@ public class KafkaStreams implements AutoCloseable {
log.info("{} is the last remaining thread and must remove itself, therefore we cannot wait "
+ "for it to complete shutdown as this will result in deadlock.", streamThread.getName());
}
resizeThreadCacheAndBufferMemory(getNumLiveStreamThreads());
log.info("Resizing thread cache/max buffer size due to removal of thread {}, " +
"new cache size/max buffer size per thread is {}", streamThread.getName(), getThreadCacheAndBufferMemoryString());
final long cacheSizePerThread = getCacheSizePerThread(getNumLiveStreamThreads());
log.info("Resizing thread cache due to thread removal, new cache size per thread is {}", cacheSizePerThread);
resizeThreadCache(cacheSizePerThread);
if (groupInstanceID.isPresent() && callingThreadIsNotCurrentStreamThread) {
final MemberToRemove memberToRemove = new MemberToRemove(groupInstanceID.get());
final Collection<MemberToRemove> membersToRemove = Collections.singletonList(memberToRemove);
@ -1251,22 +1241,15 @@ public class KafkaStreams implements AutoCloseable {
}
}
private String getThreadCacheAndBufferMemoryString() {
final StreamThread streamThread = threads.get(0);
return streamThread.getCacheSize() + "/" + streamThread.getMaxBufferSize();
private long getCacheSizePerThread(final int numStreamThreads) {
if (numStreamThreads == 0) {
return totalCacheSize;
}
return totalCacheSize / (numStreamThreads + (topologyMetadata.hasGlobalTopology() ? 1 : 0));
}
private void resizeThreadCacheAndBufferMemory(final int numStreamThreads) {
final long cacheSizePerThread;
final long inputBufferMaxBytesPerThread;
if (numStreamThreads == 0) {
cacheSizePerThread = totalCacheSize;
inputBufferMaxBytesPerThread = inputBufferMaxBytes;
} else {
cacheSizePerThread = totalCacheSize / (numStreamThreads + (topologyMetadata.hasGlobalTopology() ? 1 : 0));
inputBufferMaxBytesPerThread = inputBufferMaxBytes / (numStreamThreads + (topologyMetadata.hasGlobalTopology() ? 1 : 0));
}
processStreamThread(thread -> thread.resizeCacheAndBufferMemory(cacheSizePerThread, inputBufferMaxBytesPerThread));
private void resizeThreadCache(final long cacheSizePerThread) {
processStreamThread(thread -> thread.resizeCache(cacheSizePerThread));
if (globalStreamThread != null) {
globalStreamThread.resize(cacheSizePerThread);
}

23
streams/src/main/java/org/apache/kafka/streams/StreamsConfig.java
View File

@ -419,30 +419,18 @@ public class StreamsConfig extends AbstractConfig {
/** {@code buffered.records.per.partition} */
@SuppressWarnings("WeakerAccess")
@Deprecated
public static final String BUFFERED_RECORDS_PER_PARTITION_CONFIG = "buffered.records.per.partition";
public static final String BUFFERED_RECORDS_PER_PARTITION_DOC = "Maximum number of records to buffer per partition.";
/** {@code input.buffer.max.bytes} */
@SuppressWarnings("WeakerAccess")
public static final String INPUT_BUFFER_MAX_BYTES_CONFIG = "input.buffer.max.bytes";
public static final String INPUT_BUFFER_MAX_BYTES_DOC = "Maximum bytes of records to buffer across all threads";
/** {@code built.in.metrics.version} */
public static final String BUILT_IN_METRICS_VERSION_CONFIG = "built.in.metrics.version";
private static final String BUILT_IN_METRICS_VERSION_DOC = "Version of the built-in metrics to use.";
/** {@code cache.max.bytes.buffering} */
@SuppressWarnings("WeakerAccess")
@Deprecated
public static final String CACHE_MAX_BYTES_BUFFERING_CONFIG = "cache.max.bytes.buffering";
public static final String CACHE_MAX_BYTES_BUFFERING_DOC = "Maximum number of memory bytes to be used for buffering across all threads";
/** {@statestore.cache.max.bytes} */
@SuppressWarnings("WeakerAccess")
public static final String STATESTORE_CACHE_MAX_BYTES_CONFIG = "statestore.cache.max.bytes";
public static final String STATESTORE_CACHE_MAX_BYTES_DOC = "Maximum number of memory bytes to be used for statestore cache across all threads";
/** {@code client.id} */
@SuppressWarnings("WeakerAccess")
public static final String CLIENT_ID_CONFIG = CommonClientConfigs.CLIENT_ID_CONFIG;
@ -755,12 +743,6 @@ public class StreamsConfig extends AbstractConfig {
atLeast(0),
Importance.MEDIUM,
CACHE_MAX_BYTES_BUFFERING_DOC)
.define(STATESTORE_CACHE_MAX_BYTES_CONFIG,
Type.LONG,
10 * 1024 * 1024L,
atLeast(0),
Importance.MEDIUM,
STATESTORE_CACHE_MAX_BYTES_DOC)
.define(CLIENT_ID_CONFIG,
Type.STRING,
"",
@ -862,11 +844,6 @@ public class StreamsConfig extends AbstractConfig {
in(NO_OPTIMIZATION, OPTIMIZE),
Importance.MEDIUM,
TOPOLOGY_OPTIMIZATION_DOC)
.define(INPUT_BUFFER_MAX_BYTES_CONFIG,
Type.LONG,
512 * 1024 * 1024,
Importance.MEDIUM,
INPUT_BUFFER_MAX_BYTES_DOC)
// LOW

53
streams/src/main/java/org/apache/kafka/streams/TopologyConfig.java
View File

@ -32,10 +32,9 @@ import java.util.Properties;
import java.util.function.Supplier;
import static org.apache.kafka.common.config.ConfigDef.ValidString.in;
import static org.apache.kafka.streams.StreamsConfig.CACHE_MAX_BYTES_BUFFERING_CONFIG;
import static org.apache.kafka.streams.StreamsConfig.BUFFERED_RECORDS_PER_PARTITION_CONFIG;
import static org.apache.kafka.streams.StreamsConfig.BUFFERED_RECORDS_PER_PARTITION_DOC;
import static org.apache.kafka.streams.StreamsConfig.STATESTORE_CACHE_MAX_BYTES_CONFIG;
import static org.apache.kafka.streams.StreamsConfig.CACHE_MAX_BYTES_BUFFERING_CONFIG;
import static org.apache.kafka.streams.StreamsConfig.CACHE_MAX_BYTES_BUFFERING_DOC;
import static org.apache.kafka.streams.StreamsConfig.DEFAULT_DESERIALIZATION_EXCEPTION_HANDLER_CLASS_CONFIG;
import static org.apache.kafka.streams.StreamsConfig.DEFAULT_DESERIALIZATION_EXCEPTION_HANDLER_CLASS_DOC;
@ -49,7 +48,6 @@ import static org.apache.kafka.streams.StreamsConfig.DEFAULT_DSL_STORE_CONFIG;
import static org.apache.kafka.streams.StreamsConfig.DEFAULT_DSL_STORE_DOC;
import static org.apache.kafka.streams.StreamsConfig.ROCKS_DB;
import static org.apache.kafka.streams.StreamsConfig.IN_MEMORY;
import static org.apache.kafka.streams.internals.StreamsConfigUtils.getTotalCacheSize;
/**
* Streams configs that apply at the topology level. The values in the {@link StreamsConfig} parameter of the
@ -57,7 +55,6 @@ import static org.apache.kafka.streams.internals.StreamsConfigUtils.getTotalCach
* determine the defaults, which can then be overridden for specific topologies by passing them in when creating the
* topology builders via the {@link org.apache.kafka.streams.StreamsBuilder()} method.
*/
@SuppressWarnings("deprecation")
public class TopologyConfig extends AbstractConfig {
private static final ConfigDef CONFIG;
static {
@ -67,11 +64,6 @@ public class TopologyConfig extends AbstractConfig {
null,
Importance.LOW,
BUFFERED_RECORDS_PER_PARTITION_DOC)
.define(STATESTORE_CACHE_MAX_BYTES_CONFIG,
Type.LONG,
null,
Importance.MEDIUM,
CACHE_MAX_BYTES_BUFFERING_DOC)
.define(CACHE_MAX_BYTES_BUFFERING_CONFIG,
Type.LONG,
null,
@ -137,49 +129,14 @@ public class TopologyConfig extends AbstractConfig {
maxBufferedSize = getInt(BUFFERED_RECORDS_PER_PARTITION_CONFIG);
log.info("Topology {} is overriding {} to {}", topologyName, BUFFERED_RECORDS_PER_PARTITION_CONFIG, maxBufferedSize);
} else {
// If the user hasn't explicitly set the buffered.records.per.partition config, then leave it unbounded
// and rely on the input.buffer.max.bytes instead to keep the memory usage under control
maxBufferedSize = globalAppConfigs.originals().containsKey(StreamsConfig.BUFFERED_RECORDS_PER_PARTITION_CONFIG)
? globalAppConfigs.getInt(StreamsConfig.BUFFERED_RECORDS_PER_PARTITION_CONFIG) : -1;
maxBufferedSize = globalAppConfigs.getInt(BUFFERED_RECORDS_PER_PARTITION_CONFIG);
}
final boolean stateStoreCacheMaxBytesOverridden = isTopologyOverride(STATESTORE_CACHE_MAX_BYTES_CONFIG, topologyOverrides);
final boolean cacheMaxBytesBufferingOverridden = isTopologyOverride(CACHE_MAX_BYTES_BUFFERING_CONFIG, topologyOverrides);
if (!stateStoreCacheMaxBytesOverridden && !cacheMaxBytesBufferingOverridden) {
cacheSize = getTotalCacheSize(globalAppConfigs);
} else {
if (stateStoreCacheMaxBytesOverridden && cacheMaxBytesBufferingOverridden) {
cacheSize = getLong(STATESTORE_CACHE_MAX_BYTES_CONFIG);
log.info("Topology {} is using both deprecated config {} and new config {}, hence {} is ignored and the new config {} (value {}) is used",
topologyName,
CACHE_MAX_BYTES_BUFFERING_CONFIG,
STATESTORE_CACHE_MAX_BYTES_CONFIG,
CACHE_MAX_BYTES_BUFFERING_CONFIG,
STATESTORE_CACHE_MAX_BYTES_CONFIG,
cacheSize);
} else if (cacheMaxBytesBufferingOverridden) {
if (isTopologyOverride(CACHE_MAX_BYTES_BUFFERING_CONFIG, topologyOverrides)) {
cacheSize = getLong(CACHE_MAX_BYTES_BUFFERING_CONFIG);
log.info("Topology {} is using only deprecated config {}, and will be used to set cache size to {}; " +
"we suggest setting the new config {} instead as deprecated {} would be removed in the future.",
topologyName,
CACHE_MAX_BYTES_BUFFERING_CONFIG,
cacheSize,
STATESTORE_CACHE_MAX_BYTES_CONFIG,
CACHE_MAX_BYTES_BUFFERING_CONFIG);
log.info("Topology {} is overriding {} to {}", topologyName, CACHE_MAX_BYTES_BUFFERING_CONFIG, cacheSize);
} else {
cacheSize = getLong(STATESTORE_CACHE_MAX_BYTES_CONFIG);
}
if (cacheSize != 0) {
log.warn("Topology {} is overriding cache size to {} but this will not have any effect as the "
+ "topology-level cache size config only controls whether record buffering is enabled "
+ "or disabled, thus the only valid override value is 0",
topologyName, cacheSize);
} else {
log.info("Topology {} is overriding cache size to {}, record buffering will be disabled",
topologyName, cacheSize);
}
cacheSize = globalAppConfigs.getLong(CACHE_MAX_BYTES_BUFFERING_CONFIG);
}
if (isTopologyOverride(MAX_TASK_IDLE_MS_CONFIG, topologyOverrides)) {

31
streams/src/main/java/org/apache/kafka/streams/internals/StreamsConfigUtils.java
View File

@ -17,16 +17,9 @@
package org.apache.kafka.streams.internals;
import org.apache.kafka.streams.StreamsConfig;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import static org.apache.kafka.streams.StreamsConfig.CACHE_MAX_BYTES_BUFFERING_CONFIG;
import static org.apache.kafka.streams.StreamsConfig.STATESTORE_CACHE_MAX_BYTES_CONFIG;
public class StreamsConfigUtils {
private static final Logger LOG = LoggerFactory.getLogger(StreamsConfigUtils.class);
public enum ProcessingMode {
AT_LEAST_ONCE("AT_LEAST_ONCE"),
@ -73,28 +66,4 @@ public class StreamsConfigUtils {
return processingMode == ProcessingMode.EXACTLY_ONCE_ALPHA ||
processingMode == ProcessingMode.EXACTLY_ONCE_V2;
}
@SuppressWarnings("deprecation")
public static long getTotalCacheSize(final StreamsConfig config) {
// both deprecated and new config set. Warn and use the new one.
if (config.originals().containsKey(CACHE_MAX_BYTES_BUFFERING_CONFIG) && config.originals().containsKey(STATESTORE_CACHE_MAX_BYTES_CONFIG)) {
if (!config.getLong(CACHE_MAX_BYTES_BUFFERING_CONFIG).equals(config.getLong(STATESTORE_CACHE_MAX_BYTES_CONFIG))) {
LOG.warn("Both deprecated config {} and the new config {} are set, hence {} is ignored and {} is used instead.",
CACHE_MAX_BYTES_BUFFERING_CONFIG,
STATESTORE_CACHE_MAX_BYTES_CONFIG,
CACHE_MAX_BYTES_BUFFERING_CONFIG,
STATESTORE_CACHE_MAX_BYTES_CONFIG);
}
return config.getLong(STATESTORE_CACHE_MAX_BYTES_CONFIG);
} else if (config.originals().containsKey(CACHE_MAX_BYTES_BUFFERING_CONFIG)) {
// only deprecated config set.
LOG.warn("Deprecated config {} is set, and will be used; we suggest setting the new config {} instead as deprecated {} would be removed in the future.",
CACHE_MAX_BYTES_BUFFERING_CONFIG,
STATESTORE_CACHE_MAX_BYTES_CONFIG,
CACHE_MAX_BYTES_BUFFERING_CONFIG);
return config.getLong(CACHE_MAX_BYTES_BUFFERING_CONFIG);
}
// only new or no config set. Use default or user specified value.
return config.getLong(STATESTORE_CACHE_MAX_BYTES_CONFIG);
}
}

8
streams/src/main/java/org/apache/kafka/streams/kstream/CogroupedKStream.java
View File

@ -78,7 +78,7 @@ public interface CogroupedKStream<K, VOut> {
* same key.
* The rate of propagated updates depends on your input data rate, the number of distinct keys, the number of
* parallel running Kafka Streams instances, and the {@link StreamsConfig configuration} parameters for
* {@link StreamsConfig#STATESTORE_CACHE_MAX_BYTES_CONFIG cache size}, and
* {@link StreamsConfig#CACHE_MAX_BYTES_BUFFERING_CONFIG cache size}, and
* {@link StreamsConfig#COMMIT_INTERVAL_MS_CONFIG commit interval}.
* <p>
* To query the local {@link ReadOnlyKeyValueStore} it must be obtained via
@ -128,7 +128,7 @@ public interface CogroupedKStream<K, VOut> {
* same key.
* The rate of propagated updates depends on your input data rate, the number of distinct keys, the number of
* parallel running Kafka Streams instances, and the {@link StreamsConfig configuration} parameters for
* {@link StreamsConfig#STATESTORE_CACHE_MAX_BYTES_CONFIG cache size}, and
* {@link StreamsConfig#CACHE_MAX_BYTES_BUFFERING_CONFIG cache size}, and
* {@link StreamsConfig#COMMIT_INTERVAL_MS_CONFIG commit interval}.
* <p>
* To query the local {@link ReadOnlyKeyValueStore} it must be obtained via
@ -179,7 +179,7 @@ public interface CogroupedKStream<K, VOut> {
* same key.
* The rate of propagated updates depends on your input data rate, the number of distinct keys, the number of
* parallel running Kafka Streams instances, and the {@link StreamsConfig configuration} parameters for
* {@link StreamsConfig#STATESTORE_CACHE_MAX_BYTES_CONFIG cache size}, and
* {@link StreamsConfig#CACHE_MAX_BYTES_BUFFERING_CONFIG cache size}, and
* {@link StreamsConfig#COMMIT_INTERVAL_MS_CONFIG commit interval}.
* <p>
* To query the local {@link ReadOnlyKeyValueStore} it must be obtained via
@ -232,7 +232,7 @@ public interface CogroupedKStream<K, VOut> {
* same key.
* The rate of propagated updates depends on your input data rate, the number of distinct keys, the number of
* parallel running Kafka Streams instances, and the {@link StreamsConfig configuration} parameters for
* {@link StreamsConfig#STATESTORE_CACHE_MAX_BYTES_CONFIG cache size}, and
* {@link StreamsConfig#CACHE_MAX_BYTES_BUFFERING_CONFIG cache size}, and
* {@link StreamsConfig#COMMIT_INTERVAL_MS_CONFIG commit interval}.
* <p>
* To query the local {@link org.apache.kafka.streams.state.ReadOnlyKeyValueStore} it must be obtained via

20
streams/src/main/java/org/apache/kafka/streams/kstream/KGroupedStream.java
View File

@ -53,7 +53,7 @@ public interface KGroupedStream<K, V> {
* the same key.
* The rate of propagated updates depends on your input data rate, the number of distinct keys, the number of
* parallel running Kafka Streams instances, and the {@link StreamsConfig configuration} parameters for
* {@link StreamsConfig#STATESTORE_CACHE_MAX_BYTES_CONFIG cache size}, and
* {@link StreamsConfig#CACHE_MAX_BYTES_BUFFERING_CONFIG cache size}, and
* {@link StreamsConfig#COMMIT_INTERVAL_MS_CONFIG commit interval}.
* <p>
* For failure and recovery the store (which always will be of type {@link TimestampedKeyValueStore}) will be backed by
@ -81,7 +81,7 @@ public interface KGroupedStream<K, V> {
* the same key.
* The rate of propagated updates depends on your input data rate, the number of distinct keys, the number of
* parallel running Kafka Streams instances, and the {@link StreamsConfig configuration} parameters for
* {@link StreamsConfig#STATESTORE_CACHE_MAX_BYTES_CONFIG cache size}, and
* {@link StreamsConfig#CACHE_MAX_BYTES_BUFFERING_CONFIG cache size}, and
* {@link StreamsConfig#COMMIT_INTERVAL_MS_CONFIG commit interval}.
* <p>
* For failure and recovery the store (which always will be of type {@link TimestampedKeyValueStore}) will be backed by
@ -112,7 +112,7 @@ public interface KGroupedStream<K, V> {
* the same key.
* The rate of propagated updates depends on your input data rate, the number of distinct keys, the number of
* parallel running Kafka Streams instances, and the {@link StreamsConfig configuration} parameters for
* {@link StreamsConfig#STATESTORE_CACHE_MAX_BYTES_CONFIG cache size}, and
* {@link StreamsConfig#CACHE_MAX_BYTES_BUFFERING_CONFIG cache size}, and
* {@link StreamsConfig#COMMIT_INTERVAL_MS_CONFIG commit interval}.
* <p>
* To query the local {@link ReadOnlyKeyValueStore} it must be obtained via
@ -158,7 +158,7 @@ public interface KGroupedStream<K, V> {
* the same key.
* The rate of propagated updates depends on your input data rate, the number of distinct keys, the number of
* parallel running Kafka Streams instances, and the {@link StreamsConfig configuration} parameters for
* {@link StreamsConfig#STATESTORE_CACHE_MAX_BYTES_CONFIG cache size}, and
* {@link StreamsConfig#CACHE_MAX_BYTES_BUFFERING_CONFIG cache size}, and
* {@link StreamsConfig#COMMIT_INTERVAL_MS_CONFIG commit interval}.
* <p>
* To query the local {@link ReadOnlyKeyValueStore} it must be obtained via
@ -211,7 +211,7 @@ public interface KGroupedStream<K, V> {
* the same key.
* The rate of propagated updates depends on your input data rate, the number of distinct keys, the number of
* parallel running Kafka Streams instances, and the {@link StreamsConfig configuration} parameters for
* {@link StreamsConfig#STATESTORE_CACHE_MAX_BYTES_CONFIG cache size}, and
* {@link StreamsConfig#CACHE_MAX_BYTES_BUFFERING_CONFIG cache size}, and
* {@link StreamsConfig#COMMIT_INTERVAL_MS_CONFIG commit interval}.
*
* <p>
@ -262,7 +262,7 @@ public interface KGroupedStream<K, V> {
* the same key.
* The rate of propagated updates depends on your input data rate, the number of distinct keys, the number of
* parallel running Kafka Streams instances, and the {@link StreamsConfig configuration} parameters for
* {@link StreamsConfig#STATESTORE_CACHE_MAX_BYTES_CONFIG cache size}, and
* {@link StreamsConfig#CACHE_MAX_BYTES_BUFFERING_CONFIG cache size}, and
* {@link StreamsConfig#COMMIT_INTERVAL_MS_CONFIG commit interval}.
* <p>
* To query the local {@link ReadOnlyKeyValueStore} it must be obtained via
@ -326,7 +326,7 @@ public interface KGroupedStream<K, V> {
* the same key.
* The rate of propagated updates depends on your input data rate, the number of distinct keys, the number of
* parallel running Kafka Streams instances, and the {@link StreamsConfig configuration} parameters for
* {@link StreamsConfig#STATESTORE_CACHE_MAX_BYTES_CONFIG cache size}, and
* {@link StreamsConfig#CACHE_MAX_BYTES_BUFFERING_CONFIG cache size}, and
* {@link StreamsConfig#COMMIT_INTERVAL_MS_CONFIG commit interval}.
* <p>
* To query the local {@link ReadOnlyKeyValueStore} it must be obtained via
@ -385,7 +385,7 @@ public interface KGroupedStream<K, V> {
* the same key.
* The rate of propagated updates depends on your input data rate, the number of distinct keys, the number of
* parallel running Kafka Streams instances, and the {@link StreamsConfig configuration} parameters for
* {@link StreamsConfig#STATESTORE_CACHE_MAX_BYTES_CONFIG cache size}, and
* {@link StreamsConfig#CACHE_MAX_BYTES_BUFFERING_CONFIG cache size}, and
* {@link StreamsConfig#COMMIT_INTERVAL_MS_CONFIG commit interval}.
*
* <p>
@ -431,7 +431,7 @@ public interface KGroupedStream<K, V> {
* the same key.
* The rate of propagated updates depends on your input data rate, the number of distinct keys, the number of
* parallel running Kafka Streams instances, and the {@link StreamsConfig configuration} parameters for
* {@link StreamsConfig#STATESTORE_CACHE_MAX_BYTES_CONFIG cache size}, and
* {@link StreamsConfig#CACHE_MAX_BYTES_BUFFERING_CONFIG cache size}, and
* {@link StreamsConfig#COMMIT_INTERVAL_MS_CONFIG commit interval}.
* <p>
* To query the local {@link ReadOnlyKeyValueStore} it must be obtained via
@ -490,7 +490,7 @@ public interface KGroupedStream<K, V> {
* the same key.
* The rate of propagated updates depends on your input data rate, the number of distinct keys, the number of
* parallel running Kafka Streams instances, and the {@link StreamsConfig configuration} parameters for
* {@link StreamsConfig#STATESTORE_CACHE_MAX_BYTES_CONFIG cache size}, and
* {@link StreamsConfig#CACHE_MAX_BYTES_BUFFERING_CONFIG cache size}, and
* {@link StreamsConfig#COMMIT_INTERVAL_MS_CONFIG commit interval}.
* <p>
* To query the local {@link ReadOnlyKeyValueStore} it must be obtained via

22
streams/src/main/java/org/apache/kafka/streams/kstream/KGroupedTable.java
View File

@ -52,7 +52,7 @@ public interface KGroupedTable<K, V> {
* the same key.
* The rate of propagated updates depends on your input data rate, the number of distinct keys, the number of
* parallel running Kafka Streams instances, and the {@link StreamsConfig configuration} parameters for
* {@link StreamsConfig#STATESTORE_CACHE_MAX_BYTES_CONFIG cache size}, and
* {@link StreamsConfig#CACHE_MAX_BYTES_BUFFERING_CONFIG cache size}, and
* {@link StreamsConfig#COMMIT_INTERVAL_MS_CONFIG commit interval}.
* <p>
* To query the local {@link ReadOnlyKeyValueStore} it must be obtained via
@ -95,7 +95,7 @@ public interface KGroupedTable<K, V> {
* the same key.
* The rate of propagated updates depends on your input data rate, the number of distinct keys, the number of
* parallel running Kafka Streams instances, and the {@link StreamsConfig configuration} parameters for
* {@link StreamsConfig#STATESTORE_CACHE_MAX_BYTES_CONFIG cache size}, and
* {@link StreamsConfig#CACHE_MAX_BYTES_BUFFERING_CONFIG cache size}, and
* {@link StreamsConfig#COMMIT_INTERVAL_MS_CONFIG commit interval}.
* <p>
* To query the local {@link ReadOnlyKeyValueStore} it must be obtained via
@ -138,7 +138,7 @@ public interface KGroupedTable<K, V> {
* the same key.
* The rate of propagated updates depends on your input data rate, the number of distinct keys, the number of
* parallel running Kafka Streams instances, and the {@link StreamsConfig configuration} parameters for
* {@link StreamsConfig#STATESTORE_CACHE_MAX_BYTES_CONFIG cache size}, and
* {@link StreamsConfig#CACHE_MAX_BYTES_BUFFERING_CONFIG cache size}, and
* {@link StreamsConfig#COMMIT_INTERVAL_MS_CONFIG commit interval}.
* <p>
* For failure and recovery the store will be backed by an internal changelog topic that will be created in Kafka.
@ -167,7 +167,7 @@ public interface KGroupedTable<K, V> {
* the same key.
* The rate of propagated updates depends on your input data rate, the number of distinct keys, the number of
* parallel running Kafka Streams instances, and the {@link StreamsConfig configuration} parameters for
* {@link StreamsConfig#STATESTORE_CACHE_MAX_BYTES_CONFIG cache size}, and
* {@link StreamsConfig#CACHE_MAX_BYTES_BUFFERING_CONFIG cache size}, and
* {@link StreamsConfig#COMMIT_INTERVAL_MS_CONFIG commit interval}.
* <p>
* For failure and recovery the store will be backed by an internal changelog topic that will be created in Kafka.
@ -223,7 +223,7 @@ public interface KGroupedTable<K, V> {
* the same key.
* The rate of propagated updates depends on your input data rate, the number of distinct keys, the number of
* parallel running Kafka Streams instances, and the {@link StreamsConfig configuration} parameters for
* {@link StreamsConfig#STATESTORE_CACHE_MAX_BYTES_CONFIG cache size}, and
* {@link StreamsConfig#CACHE_MAX_BYTES_BUFFERING_CONFIG cache size}, and
* {@link StreamsConfig#COMMIT_INTERVAL_MS_CONFIG commit interval}.
* <p>
* To query the local {@link ReadOnlyKeyValueStore} it must be obtained via
@ -296,7 +296,7 @@ public interface KGroupedTable<K, V> {
* the same key.
* The rate of propagated updates depends on your input data rate, the number of distinct keys, the number of
* parallel running Kafka Streams instances, and the {@link StreamsConfig configuration} parameters for
* {@link StreamsConfig#STATESTORE_CACHE_MAX_BYTES_CONFIG cache size}, and
* {@link StreamsConfig#CACHE_MAX_BYTES_BUFFERING_CONFIG cache size}, and
* {@link StreamsConfig#COMMIT_INTERVAL_MS_CONFIG commit interval}.
* <p>
* To query the local {@link ReadOnlyKeyValueStore} it must be obtained via
@ -368,7 +368,7 @@ public interface KGroupedTable<K, V> {
* the same key.
* The rate of propagated updates depends on your input data rate, the number of distinct keys, the number of
* parallel running Kafka Streams instances, and the {@link StreamsConfig configuration} parameters for
* {@link StreamsConfig#STATESTORE_CACHE_MAX_BYTES_CONFIG cache size}, and
* {@link StreamsConfig#CACHE_MAX_BYTES_BUFFERING_CONFIG cache size}, and
* {@link StreamsConfig#COMMIT_INTERVAL_MS_CONFIG commit interval}.
* <p>
* For failure and recovery the store will be backed by an internal changelog topic that will be created in Kafka.
@ -434,7 +434,7 @@ public interface KGroupedTable<K, V> {
* the same key.
* The rate of propagated updates depends on your input data rate, the number of distinct keys, the number of
* parallel running Kafka Streams instances, and the {@link StreamsConfig configuration} parameters for
* {@link StreamsConfig#STATESTORE_CACHE_MAX_BYTES_CONFIG cache size}, and
* {@link StreamsConfig#CACHE_MAX_BYTES_BUFFERING_CONFIG cache size}, and
* {@link StreamsConfig#COMMIT_INTERVAL_MS_CONFIG commit interval}.
* <p>
* To query the local {@link ReadOnlyKeyValueStore} it must be obtained via
@ -518,7 +518,7 @@ public interface KGroupedTable<K, V> {
* the same key.
* The rate of propagated updates depends on your input data rate, the number of distinct keys, the number of
* parallel running Kafka Streams instances, and the {@link StreamsConfig configuration} parameters for
* {@link StreamsConfig#STATESTORE_CACHE_MAX_BYTES_CONFIG cache size}, and
* {@link StreamsConfig#CACHE_MAX_BYTES_BUFFERING_CONFIG cache size}, and
* {@link StreamsConfig#COMMIT_INTERVAL_MS_CONFIG commit interval}.
* <p>
* To query the local {@link ReadOnlyKeyValueStore} it must be obtained via
@ -604,7 +604,7 @@ public interface KGroupedTable<K, V> {
* the same key.
* The rate of propagated updates depends on your input data rate, the number of distinct keys, the number of
* parallel running Kafka Streams instances, and the {@link StreamsConfig configuration} parameters for
* {@link StreamsConfig#STATESTORE_CACHE_MAX_BYTES_CONFIG cache size}, and
* {@link StreamsConfig#CACHE_MAX_BYTES_BUFFERING_CONFIG cache size}, and
* {@link StreamsConfig#COMMIT_INTERVAL_MS_CONFIG commit interval}.
* For failure and recovery the store will be backed by an internal changelog topic that will be created in Kafka.
* The changelog topic will be named "${applicationId}-${internalStoreName}-changelog", where "applicationId" is
@ -674,7 +674,7 @@ public interface KGroupedTable<K, V> {
* the same key.
* The rate of propagated updates depends on your input data rate, the number of distinct keys, the number of
* parallel running Kafka Streams instances, and the {@link StreamsConfig configuration} parameters for
* {@link StreamsConfig#STATESTORE_CACHE_MAX_BYTES_CONFIG cache size}, and
* {@link StreamsConfig#CACHE_MAX_BYTES_BUFFERING_CONFIG cache size}, and
* {@link StreamsConfig#COMMIT_INTERVAL_MS_CONFIG commit interval}.
* For failure and recovery the store will be backed by an internal changelog topic that will be created in Kafka.
* The changelog topic will be named "${applicationId}-${internalStoreName}-changelog", where "applicationId" is

8
streams/src/main/java/org/apache/kafka/streams/kstream/SessionWindowedCogroupedKStream.java
View File

@ -77,7 +77,7 @@ public interface SessionWindowedCogroupedKStream<K, V> {
* the same window and key.
* The rate of propagated updates depends on your input data rate, the number of distinct keys, the number of
* parallel running Kafka Streams instances, and the {@link StreamsConfig configuration} parameters for
* {@link StreamsConfig#STATESTORE_CACHE_MAX_BYTES_CONFIG cache size}, and
* {@link StreamsConfig#CACHE_MAX_BYTES_BUFFERING_CONFIG cache size}, and
* {@link StreamsConfig#COMMIT_INTERVAL_MS_CONFIG commit interval}.
* <p>
* For failure and recovery the store will be backed by an internal changelog topic that will be created in Kafka.
@ -122,7 +122,7 @@ public interface SessionWindowedCogroupedKStream<K, V> {
* the same window and key.
* The rate of propagated updates depends on your input data rate, the number of distinct
* keys, the number of parallel running Kafka Streams instances, and the {@link StreamsConfig configuration}
* parameters for {@link StreamsConfig#STATESTORE_CACHE_MAX_BYTES_CONFIG cache size}, and
* parameters for {@link StreamsConfig#CACHE_MAX_BYTES_BUFFERING_CONFIG cache size}, and
* {@link StreamsConfig#COMMIT_INTERVAL_MS_CONFIG commit interval}.
* <p>
* For failure and recovery the store will be backed by an internal changelog topic that will be created in Kafka.
@ -166,7 +166,7 @@ public interface SessionWindowedCogroupedKStream<K, V> {
* the same window and key if caching is enabled on the {@link Materialized} instance.
* When caching is enabled the rate of propagated updates depends on your input data rate, the number of distinct keys, the number of
* parallel running Kafka Streams instances, and the {@link StreamsConfig configuration} parameters for
* {@link StreamsConfig#STATESTORE_CACHE_MAX_BYTES_CONFIG cache size}, and
* {@link StreamsConfig#CACHE_MAX_BYTES_BUFFERING_CONFIG cache size}, and
* {@link StreamsConfig#COMMIT_INTERVAL_MS_CONFIG commit interval}.
* <p>
* To query the local {@link SessionStore} it must be obtained via
@ -226,7 +226,7 @@ public interface SessionWindowedCogroupedKStream<K, V> {
* to the same window and key if caching is enabled on the {@link Materialized} instance.
* When caching is enabled the rate of propagated updates depends on your input data rate, the number of distinct
* keys, the number of parallel running Kafka Streams instances, and the {@link StreamsConfig configuration}
* parameters for {@link StreamsConfig#STATESTORE_CACHE_MAX_BYTES_CONFIG cache size}, and
* parameters for {@link StreamsConfig#CACHE_MAX_BYTES_BUFFERING_CONFIG cache size}, and
* {@link StreamsConfig#COMMIT_INTERVAL_MS_CONFIG commit interval}.
* <p>
* To query the local {@link SessionStore} it must be obtained via

24
streams/src/main/java/org/apache/kafka/streams/kstream/SessionWindowedKStream.java
View File

@ -65,7 +65,7 @@ public interface SessionWindowedKStream<K, V> {
* the same session and key.
* The rate of propagated updates depends on your input data rate, the number of distinct keys, the number of
* parallel running Kafka Streams instances, and the {@link StreamsConfig configuration} parameters for
* {@link StreamsConfig#STATESTORE_CACHE_MAX_BYTES_CONFIG cache size}, and
* {@link StreamsConfig#CACHE_MAX_BYTES_BUFFERING_CONFIG cache size}, and
* {@link StreamsConfig#COMMIT_INTERVAL_MS_CONFIG commit interval}.
* <p>
* For failure and recovery the store will be backed by an internal changelog topic that will be created in Kafka.
@ -95,7 +95,7 @@ public interface SessionWindowedKStream<K, V> {
* the same session and key.
* The rate of propagated updates depends on your input data rate, the number of distinct keys, the number of
* parallel running Kafka Streams instances, and the {@link StreamsConfig configuration} parameters for
* {@link StreamsConfig#STATESTORE_CACHE_MAX_BYTES_CONFIG cache size}, and
* {@link StreamsConfig#CACHE_MAX_BYTES_BUFFERING_CONFIG cache size}, and
* {@link StreamsConfig#COMMIT_INTERVAL_MS_CONFIG commit interval}.
* <p>
* For failure and recovery the store will be backed by an internal changelog topic that will be created in Kafka.
@ -126,7 +126,7 @@ public interface SessionWindowedKStream<K, V> {
* to the same window and key if caching is enabled on the {@link Materialized} instance.
* When caching is enabled the rate of propagated updates depends on your input data rate, the number of distinct
* keys, the number of parallel running Kafka Streams instances, and the {@link StreamsConfig configuration}
* parameters for {@link StreamsConfig#STATESTORE_CACHE_MAX_BYTES_CONFIG cache size}, and
* parameters for {@link StreamsConfig#CACHE_MAX_BYTES_BUFFERING_CONFIG cache size}, and
* {@link StreamsConfig#COMMIT_INTERVAL_MS_CONFIG commit interval}.
* <p>
* To query the local {@link SessionStore} it must be obtained via
@ -172,7 +172,7 @@ public interface SessionWindowedKStream<K, V> {
* to the same window and key if caching is enabled on the {@link Materialized} instance.
* When caching is enabled the rate of propagated updates depends on your input data rate, the number of distinct
* keys, the number of parallel running Kafka Streams instances, and the {@link StreamsConfig configuration}
* parameters for {@link StreamsConfig#STATESTORE_CACHE_MAX_BYTES_CONFIG cache size}, and
* parameters for {@link StreamsConfig#CACHE_MAX_BYTES_BUFFERING_CONFIG cache size}, and
* {@link StreamsConfig#COMMIT_INTERVAL_MS_CONFIG commit interval}.
* <p>
* To query the local {@link SessionStore} it must be obtained via
@ -233,7 +233,7 @@ public interface SessionWindowedKStream<K, V> {
* the same window and key.
* The rate of propagated updates depends on your input data rate, the number of distinct keys, the number of
* parallel running Kafka Streams instances, and the {@link StreamsConfig configuration} parameters for
* {@link StreamsConfig#STATESTORE_CACHE_MAX_BYTES_CONFIG cache size}, and
* {@link StreamsConfig#CACHE_MAX_BYTES_BUFFERING_CONFIG cache size}, and
* {@link StreamsConfig#COMMIT_INTERVAL_MS_CONFIG commit interval}.
* <p>
* For failure and recovery the store will be backed by an internal changelog topic that will be created in Kafka.
@ -282,7 +282,7 @@ public interface SessionWindowedKStream<K, V> {
* the same window and key.
* The rate of propagated updates depends on your input data rate, the number of distinct
* keys, the number of parallel running Kafka Streams instances, and the {@link StreamsConfig configuration}
* parameters for {@link StreamsConfig#STATESTORE_CACHE_MAX_BYTES_CONFIG cache size}, and
* parameters for {@link StreamsConfig#CACHE_MAX_BYTES_BUFFERING_CONFIG cache size}, and
* {@link StreamsConfig#COMMIT_INTERVAL_MS_CONFIG commit interval}.
* <p>
* For failure and recovery the store will be backed by an internal changelog topic that will be created in Kafka.
@ -330,7 +330,7 @@ public interface SessionWindowedKStream<K, V> {
* the same window and key if caching is enabled on the {@link Materialized} instance.
* When caching is enabled the rate of propagated updates depends on your input data rate, the number of distinct keys, the number of
* parallel running Kafka Streams instances, and the {@link StreamsConfig configuration} parameters for
* {@link StreamsConfig#STATESTORE_CACHE_MAX_BYTES_CONFIG cache size}, and
* {@link StreamsConfig#CACHE_MAX_BYTES_BUFFERING_CONFIG cache size}, and
* {@link StreamsConfig#COMMIT_INTERVAL_MS_CONFIG commit interval}.
* <p>
* To query the local {@link SessionStore} it must be obtained via
@ -391,7 +391,7 @@ public interface SessionWindowedKStream<K, V> {
* to the same window and key if caching is enabled on the {@link Materialized} instance.
* When caching is enabled the rate of propagated updates depends on your input data rate, the number of distinct
* keys, the number of parallel running Kafka Streams instances, and the {@link StreamsConfig configuration}
* parameters for {@link StreamsConfig#STATESTORE_CACHE_MAX_BYTES_CONFIG cache size}, and
* parameters for {@link StreamsConfig#CACHE_MAX_BYTES_BUFFERING_CONFIG cache size}, and
* {@link StreamsConfig#COMMIT_INTERVAL_MS_CONFIG commit interval}.
* <p>
* To query the local {@link SessionStore} it must be obtained via
@ -459,7 +459,7 @@ public interface SessionWindowedKStream<K, V> {
* the same window and key.
* The rate of propagated updates depends on your input data rate, the number of distinct keys, the number of
* parallel running Kafka Streams instances, and the {@link StreamsConfig configuration} parameters for
* {@link StreamsConfig#STATESTORE_CACHE_MAX_BYTES_CONFIG cache size}, and
* {@link StreamsConfig#CACHE_MAX_BYTES_BUFFERING_CONFIG cache size}, and
* {@link StreamsConfig#COMMIT_INTERVAL_MS_CONFIG commit interval}.
* <p>
* For failure and recovery the store will be backed by an internal changelog topic that will be created in Kafka.
@ -504,7 +504,7 @@ public interface SessionWindowedKStream<K, V> {
* the same window and key.
* The rate of propagated updates depends on your input data rate, the number of distinct keys, the number of
* parallel running Kafka Streams instances, and the {@link StreamsConfig configuration} parameters for
* {@link StreamsConfig#STATESTORE_CACHE_MAX_BYTES_CONFIG cache size}, and
* {@link StreamsConfig#CACHE_MAX_BYTES_BUFFERING_CONFIG cache size}, and
* {@link StreamsConfig#COMMIT_INTERVAL_MS_CONFIG commit interval}.
* <p>
* For failure and recovery the store will be backed by an internal changelog topic that will be created in Kafka.
@ -549,7 +549,7 @@ public interface SessionWindowedKStream<K, V> {
* to the same window and key if caching is enabled on the {@link Materialized} instance.
* When caching is enabled the rate of propagated updates depends on your input data rate, the number of distinct
* keys, the number of parallel running Kafka Streams instances, and the {@link StreamsConfig configuration}
* parameters for {@link StreamsConfig#STATESTORE_CACHE_MAX_BYTES_CONFIG cache size}, and
* parameters for {@link StreamsConfig#CACHE_MAX_BYTES_BUFFERING_CONFIG cache size}, and
* {@link StreamsConfig#COMMIT_INTERVAL_MS_CONFIG commit interval}.
* <p>
* To query the local {@link SessionStore} it must be obtained via
@ -609,7 +609,7 @@ public interface SessionWindowedKStream<K, V> {
* to the same window and key if caching is enabled on the {@link Materialized} instance.
* When caching is enabled the rate of propagated updates depends on your input data rate, the number of distinct
* keys, the number of parallel running Kafka Streams instances, and the {@link StreamsConfig configuration}
* parameters for {@link StreamsConfig#STATESTORE_CACHE_MAX_BYTES_CONFIG cache size}, and
* parameters for {@link StreamsConfig#CACHE_MAX_BYTES_BUFFERING_CONFIG cache size}, and
* {@link StreamsConfig#COMMIT_INTERVAL_MS_CONFIG commit interval}.
* <p>
* To query the local {@link SessionStore} it must be obtained via

8
streams/src/main/java/org/apache/kafka/streams/kstream/TimeWindowedCogroupedKStream.java
View File

@ -75,7 +75,7 @@ public interface TimeWindowedCogroupedKStream<K, V> {
* the same window and key.
* The rate of propagated updates depends on your input data rate, the number of distinct keys, the number of
* parallel running Kafka Streams instances, and the {@link StreamsConfig configuration} parameters for
* {@link StreamsConfig#STATESTORE_CACHE_MAX_BYTES_CONFIG cache size}, and
* {@link StreamsConfig#CACHE_MAX_BYTES_BUFFERING_CONFIG cache size}, and
* {@link StreamsConfig#COMMIT_INTERVAL_MS_CONFIG commit interval}.
* <p>
* For failure and recovery the store (which always will be of type {@link TimestampedWindowStore}) will be backed by
@ -115,7 +115,7 @@ public interface TimeWindowedCogroupedKStream<K, V> {
* the same window and key.
* The rate of propagated updates depends on your input data rate, the number of distinct
* keys, the number of parallel running Kafka Streams instances, and the {@link StreamsConfig configuration}
* parameters for {@link StreamsConfig#STATESTORE_CACHE_MAX_BYTES_CONFIG cache size}, and
* parameters for {@link StreamsConfig#CACHE_MAX_BYTES_BUFFERING_CONFIG cache size}, and
* {@link StreamsConfig#COMMIT_INTERVAL_MS_CONFIG commit interval}.
* <p>
* For failure and recovery the store (which always will be of type {@link TimestampedWindowStore}) will be backed by
@ -156,7 +156,7 @@ public interface TimeWindowedCogroupedKStream<K, V> {
* the same window and key if caching is enabled on the {@link Materialized} instance.
* When caching is enabled the rate of propagated updates depends on your input data rate, the number of distinct
* keys, the number of parallel running Kafka Streams instances, and the {@link StreamsConfig configuration}
* parameters for {@link StreamsConfig#STATESTORE_CACHE_MAX_BYTES_CONFIG cache size}, and
* parameters for {@link StreamsConfig#CACHE_MAX_BYTES_BUFFERING_CONFIG cache size}, and
* {@link StreamsConfig#COMMIT_INTERVAL_MS_CONFIG commit interval}.
* <p>
* To query the local {@link ReadOnlyWindowStore} it must be obtained via
@ -213,7 +213,7 @@ public interface TimeWindowedCogroupedKStream<K, V> {
* to the same window and key if caching is enabled on the {@link Materialized} instance.
* When caching is enabled the rate of propagated updates depends on your input data rate, the number of distinct
* keys, the number of parallel running Kafka Streams instances, and the {@link StreamsConfig configuration}
* parameters for {@link StreamsConfig#STATESTORE_CACHE_MAX_BYTES_CONFIG cache size}, and
* parameters for {@link StreamsConfig#CACHE_MAX_BYTES_BUFFERING_CONFIG cache size}, and
* {@link StreamsConfig#COMMIT_INTERVAL_MS_CONFIG commit interval}.
* <p>
* To query the local {@link ReadOnlyWindowStore} it must be obtained via

24
streams/src/main/java/org/apache/kafka/streams/kstream/TimeWindowedKStream.java
View File

@ -65,7 +65,7 @@ public interface TimeWindowedKStream<K, V> {
* the same window and key.
* The rate of propagated updates depends on your input data rate, the number of distinct keys, the number of
* parallel running Kafka Streams instances, and the {@link StreamsConfig configuration} parameters for
* {@link StreamsConfig#STATESTORE_CACHE_MAX_BYTES_CONFIG cache size}, and
* {@link StreamsConfig#CACHE_MAX_BYTES_BUFFERING_CONFIG cache size}, and
* {@link StreamsConfig#COMMIT_INTERVAL_MS_CONFIG commit interval}.
* <p>
* For failure and recovery the store (which always will be of type {@link TimestampedWindowStore}) will be backed by
@ -95,7 +95,7 @@ public interface TimeWindowedKStream<K, V> {
* the same window and key.
* The rate of propagated updates depends on your input data rate, the number of distinct keys, the number of
* parallel running Kafka Streams instances, and the {@link StreamsConfig configuration} parameters for
* {@link StreamsConfig#STATESTORE_CACHE_MAX_BYTES_CONFIG cache size}, and
* {@link StreamsConfig#CACHE_MAX_BYTES_BUFFERING_CONFIG cache size}, and
* {@link StreamsConfig#COMMIT_INTERVAL_MS_CONFIG commit interval}.
* <p>
* For failure and recovery the store (which always will be of type {@link TimestampedWindowStore}) will be backed by
@ -126,7 +126,7 @@ public interface TimeWindowedKStream<K, V> {
* to the same window and key if caching is enabled on the {@link Materialized} instance.
* When caching is enabled the rate of propagated updates depends on your input data rate, the number of distinct
* keys, the number of parallel running Kafka Streams instances, and the {@link StreamsConfig configuration}
* parameters for {@link StreamsConfig#STATESTORE_CACHE_MAX_BYTES_CONFIG cache size}, and
* parameters for {@link StreamsConfig#CACHE_MAX_BYTES_BUFFERING_CONFIG cache size}, and
* {@link StreamsConfig#COMMIT_INTERVAL_MS_CONFIG commit interval}.
* <p>
* To query the local {@link ReadOnlyWindowStore} it must be obtained via
@ -175,7 +175,7 @@ public interface TimeWindowedKStream<K, V> {
* to the same window and key if caching is enabled on the {@link Materialized} instance.
* When caching is enabled the rate of propagated updates depends on your input data rate, the number of distinct
* keys, the number of parallel running Kafka Streams instances, and the {@link StreamsConfig configuration}
* parameters for {@link StreamsConfig#STATESTORE_CACHE_MAX_BYTES_CONFIG cache size}, and
* parameters for {@link StreamsConfig#CACHE_MAX_BYTES_BUFFERING_CONFIG cache size}, and
* {@link StreamsConfig#COMMIT_INTERVAL_MS_CONFIG commit interval}
* <p>
* To query the local {@link ReadOnlyWindowStore} it must be obtained via
@ -236,7 +236,7 @@ public interface TimeWindowedKStream<K, V> {
* the same window and key.
* The rate of propagated updates depends on your input data rate, the number of distinct keys, the number of
* parallel running Kafka Streams instances, and the {@link StreamsConfig configuration} parameters for
* {@link StreamsConfig#STATESTORE_CACHE_MAX_BYTES_CONFIG cache size}, and
* {@link StreamsConfig#CACHE_MAX_BYTES_BUFFERING_CONFIG cache size}, and
* {@link StreamsConfig#COMMIT_INTERVAL_MS_CONFIG commit interval}.
* <p>
* For failure and recovery the store (which always will be of type {@link TimestampedWindowStore}) will be backed by
@ -281,7 +281,7 @@ public interface TimeWindowedKStream<K, V> {
* the same window and key.
* The rate of propagated updates depends on your input data rate, the number of distinct
* keys, the number of parallel running Kafka Streams instances, and the {@link StreamsConfig configuration}
* parameters for {@link StreamsConfig#STATESTORE_CACHE_MAX_BYTES_CONFIG cache size}, and
* parameters for {@link StreamsConfig#CACHE_MAX_BYTES_BUFFERING_CONFIG cache size}, and
* {@link StreamsConfig#COMMIT_INTERVAL_MS_CONFIG commit interval}.
* <p>
* For failure and recovery the store (which always will be of type {@link TimestampedWindowStore}) will be backed by
@ -326,7 +326,7 @@ public interface TimeWindowedKStream<K, V> {
* the same window and key if caching is enabled on the {@link Materialized} instance.
* When caching is enabled the rate of propagated updates depends on your input data rate, the number of distinct
* keys, the number of parallel running Kafka Streams instances, and the {@link StreamsConfig configuration}
* parameters for {@link StreamsConfig#STATESTORE_CACHE_MAX_BYTES_CONFIG cache size}, and
* parameters for {@link StreamsConfig#CACHE_MAX_BYTES_BUFFERING_CONFIG cache size}, and
* {@link StreamsConfig#COMMIT_INTERVAL_MS_CONFIG commit interval}.
* <p>
* To query the local {@link ReadOnlyWindowStore} it must be obtained via
@ -387,7 +387,7 @@ public interface TimeWindowedKStream<K, V> {
* to the same window and key if caching is enabled on the {@link Materialized} instance.
* When caching is enabled the rate of propagated updates depends on your input data rate, the number of distinct
* keys, the number of parallel running Kafka Streams instances, and the {@link StreamsConfig configuration}
* parameters for {@link StreamsConfig#STATESTORE_CACHE_MAX_BYTES_CONFIG cache size}, and
* parameters for {@link StreamsConfig#CACHE_MAX_BYTES_BUFFERING_CONFIG cache size}, and
* {@link StreamsConfig#COMMIT_INTERVAL_MS_CONFIG commit interval}
* <p>
* To query the local {@link ReadOnlyWindowStore} it must be obtained via
@ -457,7 +457,7 @@ public interface TimeWindowedKStream<K, V> {
* the same window and key.
* The rate of propagated updates depends on your input data rate, the number of distinct keys, the number of
* parallel running Kafka Streams instances, and the {@link StreamsConfig configuration} parameters for
* {@link StreamsConfig#STATESTORE_CACHE_MAX_BYTES_CONFIG cache size}, and
* {@link StreamsConfig#CACHE_MAX_BYTES_BUFFERING_CONFIG cache size}, and
* {@link StreamsConfig#COMMIT_INTERVAL_MS_CONFIG commit interval}.
* <p>
* For failure and recovery the store (which always will be of type {@link TimestampedWindowStore}) will be backed by
@ -502,7 +502,7 @@ public interface TimeWindowedKStream<K, V> {
* the same window and key.
* The rate of propagated updates depends on your input data rate, the number of distinct keys, the number of
* parallel running Kafka Streams instances, and the {@link StreamsConfig configuration} parameters for
* {@link StreamsConfig#STATESTORE_CACHE_MAX_BYTES_CONFIG cache size}, and
* {@link StreamsConfig#CACHE_MAX_BYTES_BUFFERING_CONFIG cache size}, and
* {@link StreamsConfig#COMMIT_INTERVAL_MS_CONFIG commit interval}.
* <p>
* For failure and recovery the store (which always will be of type {@link TimestampedWindowStore}) will be backed by
@ -547,7 +547,7 @@ public interface TimeWindowedKStream<K, V> {
* to the same window and key if caching is enabled on the {@link Materialized} instance.
* When caching is enabled the rate of propagated updates depends on your input data rate, the number of distinct
* keys, the number of parallel running Kafka Streams instances, and the {@link StreamsConfig configuration}
* parameters for {@link StreamsConfig#STATESTORE_CACHE_MAX_BYTES_CONFIG cache size}, and
* parameters for {@link StreamsConfig#CACHE_MAX_BYTES_BUFFERING_CONFIG cache size}, and
* {@link StreamsConfig#COMMIT_INTERVAL_MS_CONFIG commit interval}.
* <p>
* To query the local {@link ReadOnlyWindowStore} it must be obtained via
@ -610,7 +610,7 @@ public interface TimeWindowedKStream<K, V> {
* to the same window and key if caching is enabled on the {@link Materialized} instance.
* When caching is enabled the rate of propagated updates depends on your input data rate, the number of distinct
* keys, the number of parallel running Kafka Streams instances, and the {@link StreamsConfig configuration}
* parameters for {@link StreamsConfig#STATESTORE_CACHE_MAX_BYTES_CONFIG cache size}, and
* parameters for {@link StreamsConfig#CACHE_MAX_BYTES_BUFFERING_CONFIG cache size}, and
* {@link StreamsConfig#COMMIT_INTERVAL_MS_CONFIG commit interval}.
* <p>
* To query the local {@link ReadOnlyWindowStore} it must be obtained via

36
streams/src/main/java/org/apache/kafka/streams/processor/internals/PartitionGroup.java
View File

@ -64,12 +64,10 @@ public class PartitionGroup {
private final Sensor enforcedProcessingSensor;
private final long maxTaskIdleMs;
private final Sensor recordLatenessSensor;
private final Sensor totalInputBufferBytesSensor;
private final PriorityQueue<RecordQueue> nonEmptyQueuesByTime;
private long streamTime;
private int totalBuffered;
private long totalBytesBuffered;
private boolean allBuffered;
private final Map<TopicPartition, Long> idlePartitionDeadlines = new HashMap<>();
@ -93,7 +91,6 @@ public class PartitionGroup {
final Map<TopicPartition, RecordQueue> partitionQueues,
final Function<TopicPartition, OptionalLong> lagProvider,
final Sensor recordLatenessSensor,
final Sensor totalInputBufferBytesSensor,
final Sensor enforcedProcessingSensor,
final long maxTaskIdleMs) {
this.logger = logContext.logger(PartitionGroup.class);
@ -103,7 +100,6 @@ public class PartitionGroup {
this.enforcedProcessingSensor = enforcedProcessingSensor;
this.maxTaskIdleMs = maxTaskIdleMs;
this.recordLatenessSensor = recordLatenessSensor;
this.totalInputBufferBytesSensor = totalInputBufferBytesSensor;
totalBuffered = 0;
allBuffered = false;
streamTime = RecordQueue.UNKNOWN;
@ -229,8 +225,6 @@ public class PartitionGroup {
if (!newInputPartitions.contains(topicPartition)) {
// if partition is removed should delete its queue
totalBuffered -= queueEntry.getValue().size();
totalBytesBuffered -= queueEntry.getValue().getTotalBytesBuffered();
totalInputBufferBytesSensor.record(totalBytesBuffered);
queuesIterator.remove();
removedPartitions.add(topicPartition);
}
@ -266,17 +260,12 @@ public class PartitionGroup {
info.queue = queue;
if (queue != null) {
// get the buffer size of queue before poll
final long oldBufferSize = queue.getTotalBytesBuffered();
// get the first record from this queue.
record = queue.poll(wallClockTime);
// After polling, the buffer size would have reduced.
final long newBufferSize = queue.getTotalBytesBuffered();
if (record != null) {
--totalBuffered;
totalBytesBuffered -= oldBufferSize - newBufferSize;
totalInputBufferBytesSensor.record(totalBytesBuffered);
if (queue.isEmpty()) {
// if a certain queue has been drained, reset the flag
allBuffered = false;
@ -312,9 +301,7 @@ public class PartitionGroup {
}
final int oldSize = recordQueue.size();
final long oldBufferSize = recordQueue.getTotalBytesBuffered();
final int newSize = recordQueue.addRawRecords(rawRecords);
final long newBufferSize = recordQueue.getTotalBytesBuffered();
// add this record queue to be considered for processing in the future if it was empty before
if (oldSize == 0 && newSize > 0) {
@ -329,8 +316,7 @@ public class PartitionGroup {
}
totalBuffered += newSize - oldSize;
totalBytesBuffered += newBufferSize - oldBufferSize;
totalInputBufferBytesSensor.record(totalBytesBuffered);
return newSize;
}
@ -368,20 +354,12 @@ public class PartitionGroup {
return recordQueue.size();
}
Set<TopicPartition> getNonEmptyTopicPartitions() {
final Set<TopicPartition> nonEmptyTopicPartitions = new HashSet<>();
for (final RecordQueue recordQueue : nonEmptyQueuesByTime) {
nonEmptyTopicPartitions.add(recordQueue.partition());
}
return nonEmptyTopicPartitions;
}
int numBuffered() {
return totalBuffered;
}
long totalBytesBuffered() {
return totalBytesBuffered;
boolean allPartitionsBufferedLocally() {
return allBuffered;
}
void clear() {
@ -398,10 +376,4 @@ public class PartitionGroup {
queue.close();
}
}
// Below methods are for only testing.
boolean allPartitionsBufferedLocally() {
return allBuffered;
}
}

11
streams/src/main/java/org/apache/kafka/streams/processor/internals/RecordQueue.java
View File

@ -55,7 +55,6 @@ public class RecordQueue {
private final Sensor droppedRecordsSensor;
private final Sensor consumedSensor;
private long totalBytesBuffered;
private long headRecordSizeInBytes;
RecordQueue(final TopicPartition partition,
@ -90,7 +89,6 @@ public class RecordQueue {
droppedRecordsSensor
);
this.log = logContext.logger(RecordQueue.class);
this.totalBytesBuffered = 0L;
this.headRecordSizeInBytes = 0L;
}
@ -125,7 +123,6 @@ public class RecordQueue {
int addRawRecords(final Iterable<ConsumerRecord<byte[], byte[]>> rawRecords) {
for (final ConsumerRecord<byte[], byte[]> rawRecord : rawRecords) {
fifoQueue.addLast(rawRecord);
this.totalBytesBuffered += consumerRecordSizeInBytes(rawRecord);
}
updateHead();
@ -143,7 +140,6 @@ public class RecordQueue {
consumedSensor.record(headRecordSizeInBytes, wallClockTime);
totalBytesBuffered -= headRecordSizeInBytes;
headRecord = null;
headRecordSizeInBytes = 0L;
partitionTime = Math.max(partitionTime, recordToReturn.timestamp);
@ -251,11 +247,4 @@ public class RecordQueue {
long partitionTime() {
return partitionTime;
}
/**
* @return the total bytes buffered for this particular RecordQueue
*/
long getTotalBytesBuffered() {
return totalBytesBuffered;
}
}

19
streams/src/main/java/org/apache/kafka/streams/processor/internals/StreamTask.java
View File

@ -176,14 +176,15 @@ public class StreamTask extends AbstractTask implements ProcessorNodePunctuator,
recordInfo = new PartitionGroup.RecordInfo();
final Sensor enforcedProcessingSensor;
enforcedProcessingSensor = TaskMetrics.enforcedProcessingSensor(threadId, taskId, streamsMetrics);
final long maxTaskIdleMs = config.maxTaskIdleMs;
partitionGroup = new PartitionGroup(
logContext,
createPartitionQueues(),
mainConsumer::currentLag,
TaskMetrics.recordLatenessSensor(threadId, taskId, streamsMetrics),
TaskMetrics.totalInputBufferBytesSensor(threadId, taskId, streamsMetrics),
TaskMetrics.enforcedProcessingSensor(threadId, taskId, streamsMetrics),
enforcedProcessingSensor,
maxTaskIdleMs
);
@ -729,8 +730,7 @@ public class StreamTask extends AbstractTask implements ProcessorNodePunctuator,
// after processing this record, if its partition queue's buffered size has been
// decreased to the threshold, we can then resume the consumption on this partition
// TODO maxBufferedSize != -1 would be removed once the deprecated config buffered.records.per.partition is removed
if (maxBufferedSize != -1 && recordInfo.queue().size() == maxBufferedSize) {
if (recordInfo.queue().size() == maxBufferedSize) {
mainConsumer.resume(singleton(partition));
}
@ -990,8 +990,7 @@ public class StreamTask extends AbstractTask implements ProcessorNodePunctuator,
// if after adding these records, its partition queue's buffered size has been
// increased beyond the threshold, we can then pause the consumption for this partition
// We do this only if the deprecated config buffered.records.per.partition is set
if (maxBufferedSize != -1 && newQueueSize > maxBufferedSize) {
if (newQueueSize > maxBufferedSize) {
mainConsumer.pause(singleton(partition));
}
}
@ -1244,14 +1243,6 @@ public class StreamTask extends AbstractTask implements ProcessorNodePunctuator,
return recordCollector;
}
Set<TopicPartition> getNonEmptyTopicPartitions() {
return this.partitionGroup.getNonEmptyTopicPartitions();
}
long totalBytesBuffered() {
return partitionGroup.totalBytesBuffered();
}
// below are visible for testing only
int numBuffered() {
return partitionGroup.numBuffered();

45
streams/src/main/java/org/apache/kafka/streams/processor/internals/StreamThread.java
View File

@ -318,7 +318,6 @@ public class StreamThread extends Thread {
// These are used to signal from outside the stream thread, but the variables themselves are internal to the thread
private final AtomicLong cacheResizeSize = new AtomicLong(-1L);
private final AtomicBoolean leaveGroupRequested = new AtomicBoolean(false);
private final AtomicLong maxBufferSizeBytes = new AtomicLong(-1L);
private final boolean eosEnabled;
public static StreamThread create(final TopologyMetadata topologyMetadata,
@ -331,7 +330,6 @@ public class StreamThread extends Thread {
final Time time,
final StreamsMetadataState streamsMetadataState,
final long cacheSizeBytes,
final long maxBufferSizeBytes,
final StateDirectory stateDirectory,
final StateRestoreListener userStateRestoreListener,
final int threadIdx,
@ -433,8 +431,7 @@ public class StreamThread extends Thread {
referenceContainer.nonFatalExceptionsToHandle,
shutdownErrorHook,
streamsUncaughtExceptionHandler,
cache::resize,
maxBufferSizeBytes
cache::resize
);
return streamThread.updateThreadMetadata(getSharedAdminClientId(clientId));
@ -457,8 +454,7 @@ public class StreamThread extends Thread {
final Queue<StreamsException> nonFatalExceptionsToHandle,
final Runnable shutdownErrorHook,
final BiConsumer<Throwable, Boolean> streamsUncaughtExceptionHandler,
final java.util.function.Consumer<Long> cacheResizer,
final long maxBufferSizeBytes) {
final java.util.function.Consumer<Long> cacheResizer) {
super(threadId);
this.stateLock = new Object();
this.adminClient = adminClient;
@ -527,7 +523,6 @@ public class StreamThread extends Thread {
this.numIterations = 1;
this.eosEnabled = eosEnabled(config);
this.maxBufferSizeBytes.set(maxBufferSizeBytes);
}
private static final class InternalConsumerConfig extends ConsumerConfig {
@ -710,17 +705,8 @@ public class StreamThread extends Thread {
}
}
public void resizeCacheAndBufferMemory(final long cacheSize, final long maxBufferSize) {
cacheResizeSize.set(cacheSize);
maxBufferSizeBytes.set(maxBufferSize);
}
public long getCacheSize() {
return cacheResizeSize.get();
}
public long getMaxBufferSize() {
return maxBufferSizeBytes.get();
public void resizeCache(final long size) {
cacheResizeSize.set(size);
}
/**
@ -795,13 +781,6 @@ public class StreamThread extends Thread {
totalProcessed += processed;
totalRecordsProcessedSinceLastSummary += processed;
final long bufferSize = taskManager.getInputBufferSizeInBytes();
if (bufferSize <= maxBufferSizeBytes.get()) {
final Set<TopicPartition> pausedPartitions = mainConsumer.paused();
log.info("Buffered records size {} bytes falls below {}. Resuming all the paused partitions {} in the consumer",
bufferSize, maxBufferSizeBytes.get(), pausedPartitions);
mainConsumer.resume(pausedPartitions);
}
}
log.debug("Processed {} records with {} iterations; invoking punctuators if necessary",
@ -920,8 +899,7 @@ public class StreamThread extends Thread {
}
}
// Visible for testing
long pollPhase() {
private long pollPhase() {
final ConsumerRecords<byte[], byte[]> records;
log.debug("Invoking poll on main Consumer");
@ -967,19 +945,6 @@ public class StreamThread extends Thread {
if (!records.isEmpty()) {
pollRecordsSensor.record(numRecords, now);
taskManager.addRecordsToTasks(records);
// Check buffer size after adding records to tasks
final long bufferSize = taskManager.getInputBufferSizeInBytes();
// Pausing partitions as the buffer size now exceeds max buffer size
if (bufferSize > maxBufferSizeBytes.get()) {
final Set<TopicPartition> nonEmptyPartitions = taskManager.nonEmptyPartitions();
log.info("Buffered records size {} bytes exceeds {}. Pausing partitions {} from the consumer",
bufferSize, maxBufferSizeBytes.get(), nonEmptyPartitions);
// Only non-empty partitions are paused here. Reason is that, if a task has multiple partitions with
// some of them empty, then in that case pausing even empty partitions would sacrifice ordered processing
// and even lead to temporal deadlock. More explanation can be found here:
// https://issues.apache.org/jira/browse/KAFKA-13152?focusedCommentId=17400647&page=com.atlassian.jira.plugin.system.issuetabpanels%3Acomment-tabpanel#comment-17400647
mainConsumer.pause(nonEmptyPartitions);
}
}
while (!nonFatalExceptionsToHandle.isEmpty()) {

19
streams/src/main/java/org/apache/kafka/streams/processor/internals/TaskManager.java
View File

@ -1071,17 +1071,6 @@ public class TaskManager {
}
}
/**
* Fetch all non-empty partitions for pausing
*/
Set<TopicPartition> nonEmptyPartitions() {
final Set<TopicPartition> nonEmptyPartitions = new HashSet<>();
for (final Task task : activeTaskIterable()) {
nonEmptyPartitions.addAll(((StreamTask) task).getNonEmptyTopicPartitions());
}
return nonEmptyPartitions;
}
/**
* @throws TaskMigratedException if committing offsets failed (non-EOS)
* or if the task producer got fenced (EOS)
@ -1185,14 +1174,6 @@ public class TaskManager {
}
}
long getInputBufferSizeInBytes() {
long bytesBuffered = 0L;
for (final Task task : activeTaskIterable()) {
bytesBuffered += ((StreamTask) task).totalBytesBuffered();
}
return bytesBuffered;
}
/**
* @throws TaskMigratedException if the task producer got fenced (EOS only)
* @throws StreamsException if any task threw an exception while processing

37
streams/src/main/java/org/apache/kafka/streams/processor/internals/metrics/TaskMetrics.java
View File

@ -84,11 +84,6 @@ public class TaskMetrics {
private static final String NUM_BUFFERED_RECORDS_DESCRIPTION = "The count of buffered records that are polled " +
"from consumer and not yet processed for this active task";
private static final String INPUT_BUFFER_BYTES_TOTAL = "input-buffer-bytes-total";
private static final String INPUT_BUFFER_BYTES_TOTAL_DESCRIPTION = "The total number of bytes accumulated in this task's input buffer";
private static final String CACHE_SIZE_BYTES_TOTAL = "cache-size-bytes-total";
private static final String CACHE_SIZE_BYTES_TOTAL_DESCRIPTION = "The total size in bytes of this task's cache.";
public static Sensor processLatencySensor(final String threadId,
final String taskId,
final StreamsMetricsImpl streamsMetrics) {
@ -133,38 +128,6 @@ public class TaskMetrics {
return sensor;
}
public static Sensor totalInputBufferBytesSensor(final String threadId,
final String taskId,
final StreamsMetricsImpl streamsMetrics) {
final String name = INPUT_BUFFER_BYTES_TOTAL;
final Sensor sensor = streamsMetrics.taskLevelSensor(threadId, taskId, name, RecordingLevel.INFO);
addValueMetricToSensor(
sensor,
TASK_LEVEL_GROUP,
streamsMetrics.taskLevelTagMap(threadId, taskId),
name,
INPUT_BUFFER_BYTES_TOTAL_DESCRIPTION
);
return sensor;
}
public static Sensor totalCacheSizeBytesSensor(final String threadId,
final String taskId,
final StreamsMetricsImpl streamsMetrics) {
final String name = CACHE_SIZE_BYTES_TOTAL;
final Sensor sensor = streamsMetrics.taskLevelSensor(threadId, taskId, name, Sensor.RecordingLevel.INFO);
addValueMetricToSensor(
sensor,
TASK_LEVEL_GROUP,
streamsMetrics.taskLevelTagMap(threadId, taskId),
name,
CACHE_SIZE_BYTES_TOTAL_DESCRIPTION
);
return sensor;
}
public static Sensor punctuateSensor(final String threadId,
final String taskId,
final StreamsMetricsImpl streamsMetrics) {

10
streams/src/main/java/org/apache/kafka/streams/state/internals/NamedCache.java
View File

@ -20,7 +20,6 @@ import org.apache.kafka.common.metrics.Sensor;
import org.apache.kafka.common.utils.Bytes;
import org.apache.kafka.streams.KeyValue;
import org.apache.kafka.streams.processor.internals.metrics.StreamsMetricsImpl;
import org.apache.kafka.streams.processor.internals.metrics.TaskMetrics;
import org.apache.kafka.streams.state.internals.metrics.NamedCacheMetrics;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
@ -49,7 +48,6 @@ class NamedCache {
private final StreamsMetricsImpl streamsMetrics;
private final Sensor hitRatioSensor;
private final Sensor totalCacheSizeSensor;
// internal stats
private long numReadHits = 0;
@ -68,11 +66,6 @@ class NamedCache {
taskName,
storeName
);
totalCacheSizeSensor = TaskMetrics.totalCacheSizeBytesSensor(
Thread.currentThread().getName(),
taskName,
streamsMetrics
);
}
synchronized final String name() {
@ -189,7 +182,6 @@ class NamedCache {
dirtyKeys.add(key);
}
currentSizeBytes += node.size();
totalCacheSizeSensor.record(currentSizeBytes);
}
synchronized long sizeInBytes() {
@ -251,7 +243,6 @@ class NamedCache {
if (eldest.entry.isDirty()) {
flush(eldest);
}
totalCacheSizeSensor.record(currentSizeBytes);
}
synchronized LRUCacheEntry putIfAbsent(final Bytes key, final LRUCacheEntry value) {
@ -278,7 +269,6 @@ class NamedCache {
remove(node);
dirtyKeys.remove(key);
currentSizeBytes -= node.size();
totalCacheSizeSensor.record(currentSizeBytes);
return node.entry();
}

34
streams/src/test/java/org/apache/kafka/streams/KafkaStreamsTest.java
View File

@ -150,8 +150,6 @@ public class KafkaStreamsTest {
private GlobalStreamThread globalStreamThread;
@Mock
private Metrics metrics;
@Mock
private State state;
private StateListenerStub streamsStateListener;
private Capture<List<MetricsReporter>> metricsReportersCapture;
@ -225,7 +223,6 @@ public class KafkaStreamsTest {
ClientMetrics.addStateMetric(anyObject(StreamsMetricsImpl.class), anyObject());
ClientMetrics.addNumAliveStreamThreadMetric(anyObject(StreamsMetricsImpl.class), anyObject());
// setup stream threads
PowerMock.mockStatic(StreamThread.class);
EasyMock.expect(StreamThread.create(
@ -239,7 +236,6 @@ public class KafkaStreamsTest {
anyObject(Time.class),
anyObject(StreamsMetadataState.class),
anyLong(),
anyLong(),
anyObject(StateDirectory.class),
anyObject(StateRestoreListener.class),
anyInt(),
@ -250,13 +246,8 @@ public class KafkaStreamsTest {
PowerMock.mockStatic(StreamsConfigUtils.class);
EasyMock.expect(StreamsConfigUtils.processingMode(anyObject(StreamsConfig.class))).andReturn(StreamsConfigUtils.ProcessingMode.AT_LEAST_ONCE).anyTimes();
EasyMock.expect(StreamsConfigUtils.eosEnabled(anyObject(StreamsConfig.class))).andReturn(false).anyTimes();
EasyMock.expect(StreamsConfigUtils.getTotalCacheSize(anyObject(StreamsConfig.class))).andReturn(10 * 1024 * 1024L).anyTimes();
EasyMock.expect(streamThreadOne.getId()).andReturn(1L).anyTimes();
EasyMock.expect(streamThreadTwo.getId()).andReturn(2L).anyTimes();
EasyMock.expect(streamThreadOne.getCacheSize()).andReturn(10485760L).anyTimes();
EasyMock.expect(streamThreadOne.getMaxBufferSize()).andReturn(536870912L).anyTimes();
EasyMock.expect(streamThreadTwo.getCacheSize()).andReturn(10485760L).anyTimes();
EasyMock.expect(streamThreadTwo.getMaxBufferSize()).andReturn(536870912L).anyTimes();
prepareStreamThread(streamThreadOne, 1, true);
prepareStreamThread(streamThreadTwo, 2, false);
@ -305,8 +296,6 @@ public class KafkaStreamsTest {
EasyMock.expect(globalStreamThread.stillRunning()).andReturn(globalThreadState.get() == GlobalStreamThread.State.RUNNING).anyTimes();
globalStreamThread.join();
EasyMock.expectLastCall().anyTimes();
globalStreamThread.resize(EasyMock.anyLong());
EasyMock.expectLastCall().anyTimes();
PowerMock.replay(
StreamThread.class,
@ -363,7 +352,7 @@ public class KafkaStreamsTest {
).anyTimes();
EasyMock.expect(thread.waitOnThreadState(EasyMock.isA(StreamThread.State.class), anyLong())).andStubReturn(true);
EasyMock.expect(thread.isAlive()).andReturn(true).times(0, 1);
thread.resizeCacheAndBufferMemory(EasyMock.anyLong(), EasyMock.anyLong());
thread.resizeCache(EasyMock.anyLong());
EasyMock.expectLastCall().anyTimes();
thread.requestLeaveGroupDuringShutdown();
EasyMock.expectLastCall().anyTimes();
@ -648,27 +637,6 @@ public class KafkaStreamsTest {
streams.start();
final int oldSize = streams.threads.size();
waitForCondition(() -> streams.state() == KafkaStreams.State.RUNNING, 15L, "wait until running");
EasyMock.reset(streamThreadOne, streamThreadTwo);
EasyMock.expect(streamThreadOne.isRunning()).andStubReturn(true);
EasyMock.expect(streamThreadTwo.isRunning()).andStubReturn(true);
EasyMock.expect(streamThreadOne.state()).andStubReturn(StreamThread.State.RUNNING);
EasyMock.expect(streamThreadTwo.state()).andStubReturn(StreamThread.State.RUNNING);
EasyMock.expect(streamThreadOne.getName()).andStubReturn("processId-StreamThread-1");
EasyMock.expect(streamThreadTwo.getName()).andStubReturn("processId-StreamThread-2");
EasyMock.expect(streamThreadTwo.getId()).andStubReturn(2L);
EasyMock.expect(streamThreadOne.getCacheSize()).andReturn(10485760L).anyTimes();
EasyMock.expect(streamThreadOne.getMaxBufferSize()).andReturn(536870912L).anyTimes();
EasyMock.expect(streamThreadTwo.getCacheSize()).andReturn(10485760L).anyTimes();
EasyMock.expect(streamThreadTwo.getMaxBufferSize()).andReturn(536870912L).anyTimes();
streamThreadTwo.setStateListener(EasyMock.anyObject());
streamThreadTwo.start();
streamThreadOne.resizeCacheAndBufferMemory(5 * 1024 * 1024L, 256 * 1024 * 1024L);
streamThreadTwo.resizeCacheAndBufferMemory(5 * 1024 * 1024L, 256 * 1024 * 1024L);
streamThreadOne.shutdown();
streamThreadTwo.shutdown();
EasyMock.expect(state.isRunningOrRebalancing()).andStubReturn(true);
EasyMock.replay(streamThreadOne, streamThreadTwo, state);
assertThat(streams.addStreamThread(), equalTo(Optional.of("processId-StreamThread-" + 2)));
assertThat(streams.threads.size(), equalTo(oldSize + 1));
}

31
streams/src/test/java/org/apache/kafka/streams/StreamsConfigTest.java
View File

@ -65,7 +65,6 @@ import static org.apache.kafka.streams.StreamsConfig.TOPOLOGY_OPTIMIZATION_CONFI
import static org.apache.kafka.streams.StreamsConfig.adminClientPrefix;
import static org.apache.kafka.streams.StreamsConfig.consumerPrefix;
import static org.apache.kafka.streams.StreamsConfig.producerPrefix;
import static org.apache.kafka.streams.internals.StreamsConfigUtils.getTotalCacheSize;
import static org.apache.kafka.test.StreamsTestUtils.getStreamsConfig;
import static org.hamcrest.CoreMatchers.containsString;
import static org.hamcrest.CoreMatchers.hasItem;
@ -1256,36 +1255,6 @@ public class StreamsConfigTest {
);
}
@Test
@SuppressWarnings("deprecation")
public void shouldUseStateStoreCacheMaxBytesWhenBothOldAndNewConfigsAreSet() {
props.put(StreamsConfig.STATESTORE_CACHE_MAX_BYTES_CONFIG, 100);
props.put(StreamsConfig.CACHE_MAX_BYTES_BUFFERING_CONFIG, 10);
final StreamsConfig config = new StreamsConfig(props);
assertEquals(getTotalCacheSize(config), 100);
}
@Test
@SuppressWarnings("deprecation")
public void shouldUseCacheMaxBytesBufferingConfigWhenOnlyDeprecatedConfigIsSet() {
props.put(StreamsConfig.CACHE_MAX_BYTES_BUFFERING_CONFIG, 10);
final StreamsConfig config = new StreamsConfig(props);
assertEquals(getTotalCacheSize(config), 10);
}
@Test
public void shouldUseStateStoreCacheMaxBytesWhenNewConfigIsSet() {
props.put(StreamsConfig.STATESTORE_CACHE_MAX_BYTES_CONFIG, 10);
final StreamsConfig config = new StreamsConfig(props);
assertEquals(getTotalCacheSize(config), 10);
}
@Test
public void shouldUseDefaultStateStoreCacheMaxBytesConfigWhenNoConfigIsSet() {
final StreamsConfig config = new StreamsConfig(props);
assertEquals(getTotalCacheSize(config), 10 * 1024 * 1024);
}
@Test
public void testInvalidSecurityProtocol() {
props.put(CommonClientConfigs.SECURITY_PROTOCOL_CONFIG, "abc");

2
streams/src/test/java/org/apache/kafka/streams/integration/AbstractJoinIntegrationTest.java
View File

@ -123,7 +123,7 @@ public abstract class AbstractJoinIntegrationTest {
void prepareEnvironment() throws InterruptedException {
if (!cacheEnabled) {
STREAMS_CONFIG.put(StreamsConfig.STATESTORE_CACHE_MAX_BYTES_CONFIG, 0);
STREAMS_CONFIG.put(StreamsConfig.CACHE_MAX_BYTES_BUFFERING_CONFIG, 0);
}
STREAMS_CONFIG.put(StreamsConfig.STATE_DIR_CONFIG, testFolder.getRoot().getPath());

2
streams/src/test/java/org/apache/kafka/streams/integration/AbstractResetIntegrationTest.java
View File

@ -151,7 +151,7 @@ public abstract class AbstractResetIntegrationTest {
streamsConfig.put(StreamsConfig.STATE_DIR_CONFIG, testFolder.getRoot().getPath());
streamsConfig.put(StreamsConfig.DEFAULT_KEY_SERDE_CLASS_CONFIG, Serdes.Long().getClass());
streamsConfig.put(StreamsConfig.DEFAULT_VALUE_SERDE_CLASS_CONFIG, Serdes.String().getClass());
streamsConfig.put(StreamsConfig.STATESTORE_CACHE_MAX_BYTES_CONFIG, 0);
streamsConfig.put(StreamsConfig.CACHE_MAX_BYTES_BUFFERING_CONFIG, 0);
streamsConfig.put(StreamsConfig.COMMIT_INTERVAL_MS_CONFIG, 100L);
streamsConfig.put(ConsumerConfig.HEARTBEAT_INTERVAL_MS_CONFIG, 100);
streamsConfig.put(ConsumerConfig.AUTO_OFFSET_RESET_CONFIG, "earliest");

40
streams/src/test/java/org/apache/kafka/streams/integration/AdjustStreamThreadCountTest.java
View File

@ -379,7 +379,7 @@ public class AdjustStreamThreadCountTest {
final Properties props = new Properties();
props.putAll(properties);
props.put(StreamsConfig.NUM_STREAM_THREADS_CONFIG, 2);
props.put(StreamsConfig.STATESTORE_CACHE_MAX_BYTES_CONFIG, totalCacheBytes);
props.put(StreamsConfig.CACHE_MAX_BYTES_BUFFERING_CONFIG, totalCacheBytes);
try (final KafkaStreams kafkaStreams = new KafkaStreams(builder.build(), props)) {
addStreamStateChangeListener(kafkaStreams);
@ -390,32 +390,7 @@ public class AdjustStreamThreadCountTest {
for (final String log : appender.getMessages()) {
// all 10 bytes should be available for remaining thread
if (log.contains("Resizing thread cache/max buffer size due to removal of thread ") && log.contains(", new cache size/max buffer size per thread is 10/536870912")) {
return;
}
}
}
}
fail();
}
@Test
public void shouldResizeMaxBufferAfterThreadRemovalTimesOut() throws InterruptedException {
final long maxBufferBytes = 10L;
final Properties props = new Properties();
props.putAll(properties);
props.put(StreamsConfig.NUM_STREAM_THREADS_CONFIG, 2);
props.put(StreamsConfig.INPUT_BUFFER_MAX_BYTES_CONFIG, maxBufferBytes);
try (final KafkaStreams kafkaStreams = new KafkaStreams(builder.build(), props)) {
addStreamStateChangeListener(kafkaStreams);
startStreamsAndWaitForRunning(kafkaStreams);
try (final LogCaptureAppender appender = LogCaptureAppender.createAndRegister(KafkaStreams.class)) {
assertThrows(TimeoutException.class, () -> kafkaStreams.removeStreamThread(Duration.ofSeconds(0)));
for (final String log : appender.getMessages()) {
// all 10 bytes should be available for remaining thread
if (log.contains("Resizing thread cache/max buffer size due to removal of thread ") && log.contains(", new cache size/max buffer size per thread is 10485760/10")) {
if (log.endsWith("Resizing thread cache due to thread removal, new cache size per thread is 10")) {
return;
}
}
@ -426,14 +401,12 @@ public class AdjustStreamThreadCountTest {
@Test
@SuppressWarnings("deprecation")
public void shouldResizeCacheAndInputBufferAfterThreadReplacement() throws InterruptedException {
public void shouldResizeCacheAfterThreadReplacement() throws InterruptedException {
final long totalCacheBytes = 10L;
final long maxBufferBytes = 100L;
final Properties props = new Properties();
props.putAll(properties);
props.put(StreamsConfig.NUM_STREAM_THREADS_CONFIG, 2);
props.put(StreamsConfig.STATESTORE_CACHE_MAX_BYTES_CONFIG, totalCacheBytes);
props.put(StreamsConfig.INPUT_BUFFER_MAX_BYTES_CONFIG, maxBufferBytes);
props.put(StreamsConfig.CACHE_MAX_BYTES_BUFFERING_CONFIG, totalCacheBytes);
final AtomicBoolean injectError = new AtomicBoolean(false);
@ -473,9 +446,8 @@ public class AdjustStreamThreadCountTest {
waitForTransitionFromRebalancingToRunning();
for (final String log : appender.getMessages()) {
// after we replace the thread there should be two remaining threads with 5 bytes each for
// the cache and 50 for the input buffer
if (log.endsWith("Adding StreamThread-3, there are now 2 threads with cache size/max buffer size values as 5/50 per thread.")) {
// after we replace the thread there should be two remaining threads with 5 bytes each
if (log.endsWith("Adding StreamThread-3, there will now be 2 live threads and the new cache size per thread is 5")) {
return;
}
}

2
streams/src/test/java/org/apache/kafka/streams/integration/EmitOnChangeIntegrationTest.java
View File

@ -97,7 +97,7 @@ public class EmitOnChangeIntegrationTest {
mkEntry(StreamsConfig.APPLICATION_ID_CONFIG, appId),
mkEntry(StreamsConfig.STATE_DIR_CONFIG, TestUtils.tempDirectory().getPath()),
mkEntry(StreamsConfig.NUM_STREAM_THREADS_CONFIG, 1),
mkEntry(StreamsConfig.STATESTORE_CACHE_MAX_BYTES_CONFIG, 0),
mkEntry(StreamsConfig.CACHE_MAX_BYTES_BUFFERING_CONFIG, 0),
mkEntry(StreamsConfig.COMMIT_INTERVAL_MS_CONFIG, 300000L),
mkEntry(StreamsConfig.DEFAULT_KEY_SERDE_CLASS_CONFIG, Serdes.IntegerSerde.class),
mkEntry(StreamsConfig.DEFAULT_VALUE_SERDE_CLASS_CONFIG, Serdes.StringSerde.class),

6
streams/src/test/java/org/apache/kafka/streams/integration/EosIntegrationTest.java
View File

@ -249,7 +249,7 @@ public class EosIntegrationTest {
final Properties properties = new Properties();
properties.put(StreamsConfig.PROCESSING_GUARANTEE_CONFIG, eosConfig);
properties.put(StreamsConfig.STATESTORE_CACHE_MAX_BYTES_CONFIG, 0);
properties.put(StreamsConfig.CACHE_MAX_BYTES_BUFFERING_CONFIG, 0);
properties.put(StreamsConfig.COMMIT_INTERVAL_MS_CONFIG, 100L);
properties.put(StreamsConfig.consumerPrefix(ConsumerConfig.MAX_POLL_RECORDS_CONFIG), 1);
properties.put(StreamsConfig.consumerPrefix(ConsumerConfig.METADATA_MAX_AGE_CONFIG), "1000");
@ -326,7 +326,7 @@ public class EosIntegrationTest {
final Properties properties = new Properties();
properties.put(StreamsConfig.PROCESSING_GUARANTEE_CONFIG, eosConfig);
properties.put(StreamsConfig.STATESTORE_CACHE_MAX_BYTES_CONFIG, 0);
properties.put(StreamsConfig.CACHE_MAX_BYTES_BUFFERING_CONFIG, 0);
properties.put(StreamsConfig.COMMIT_INTERVAL_MS_CONFIG, 100L);
properties.put(ConsumerConfig.METADATA_MAX_AGE_CONFIG, "1000");
properties.put(ConsumerConfig.AUTO_OFFSET_RESET_CONFIG, "earliest");
@ -940,7 +940,7 @@ public class EosIntegrationTest {
properties.put(StreamsConfig.consumerPrefix(ConsumerConfig.REQUEST_TIMEOUT_MS_CONFIG), maxPollIntervalMs);
properties.put(StreamsConfig.consumerPrefix(ConsumerConfig.SESSION_TIMEOUT_MS_CONFIG), maxPollIntervalMs - 1);
properties.put(StreamsConfig.consumerPrefix(ConsumerConfig.MAX_POLL_INTERVAL_MS_CONFIG), maxPollIntervalMs);
properties.put(StreamsConfig.STATESTORE_CACHE_MAX_BYTES_CONFIG, 0);
properties.put(StreamsConfig.CACHE_MAX_BYTES_BUFFERING_CONFIG, 0);
properties.put(StreamsConfig.STATE_DIR_CONFIG, stateTmpDir + appDir);
properties.put(StreamsConfig.APPLICATION_SERVER_CONFIG, dummyHostName + ":2142");

2
streams/src/test/java/org/apache/kafka/streams/integration/EosV2UpgradeIntegrationTest.java
View File

@ -949,7 +949,7 @@ public class EosV2UpgradeIntegrationTest {
properties.put(StreamsConfig.consumerPrefix(ConsumerConfig.MAX_POLL_INTERVAL_MS_CONFIG), MAX_POLL_INTERVAL_MS);
properties.put(StreamsConfig.producerPrefix(ProducerConfig.TRANSACTION_TIMEOUT_CONFIG), (int) commitInterval);
properties.put(StreamsConfig.producerPrefix(ProducerConfig.PARTITIONER_CLASS_CONFIG), KeyPartitioner.class);
properties.put(StreamsConfig.STATESTORE_CACHE_MAX_BYTES_CONFIG, 0);
properties.put(StreamsConfig.CACHE_MAX_BYTES_BUFFERING_CONFIG, 0);
properties.put(StreamsConfig.STATE_DIR_CONFIG, TestUtils.tempDirectory().getPath() + File.separator + appDir);
properties.put(InternalConfig.ASSIGNMENT_LISTENER, assignmentListener);

161
streams/src/test/java/org/apache/kafka/streams/integration/ErrorHandlingIntegrationTest.java
View File

@ -1,161 +0,0 @@
/*
* Licensed to the Apache Software Foundation (ASF) under one or more
* contributor license agreements. See the NOTICE file distributed with
* this work for additional information regarding copyright ownership.
* The ASF licenses this file to You under the Apache License, Version 2.0
* (the "License"); you may not use this file except in compliance with
* the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package org.apache.kafka.streams.integration;
import org.apache.kafka.common.serialization.IntegerDeserializer;
import org.apache.kafka.common.serialization.IntegerSerializer;
import org.apache.kafka.common.serialization.Serdes;
import org.apache.kafka.common.serialization.StringDeserializer;
import org.apache.kafka.common.serialization.StringSerializer;
import org.apache.kafka.streams.KeyValue;
import org.apache.kafka.streams.StreamsConfig;
import org.apache.kafka.streams.errors.StreamsUncaughtExceptionHandler.StreamThreadExceptionResponse;
import org.apache.kafka.streams.integration.utils.EmbeddedKafkaCluster;
import org.apache.kafka.streams.integration.utils.IntegrationTestUtils;
import org.apache.kafka.streams.processor.internals.namedtopology.KafkaStreamsNamedTopologyWrapper;
import org.apache.kafka.streams.processor.internals.namedtopology.NamedTopologyBuilder;
import org.apache.kafka.test.IntegrationTest;
import org.apache.kafka.test.StreamsTestUtils;
import org.apache.kafka.test.TestUtils;
import java.io.IOException;
import java.util.Arrays;
import java.util.Properties;
import java.util.concurrent.atomic.AtomicInteger;
import org.junit.AfterClass;
import org.junit.Before;
import org.junit.BeforeClass;
import org.junit.Rule;
import org.junit.Test;
import org.junit.experimental.categories.Category;
import org.junit.rules.TestName;
import static org.apache.kafka.common.utils.Utils.mkEntry;
import static org.apache.kafka.common.utils.Utils.mkMap;
import static org.apache.kafka.common.utils.Utils.mkObjectProperties;
import static org.apache.kafka.streams.integration.utils.IntegrationTestUtils.safeUniqueTestName;
import static org.hamcrest.CoreMatchers.equalTo;
import static org.hamcrest.MatcherAssert.assertThat;
@Category(IntegrationTest.class)
public class ErrorHandlingIntegrationTest {
private static final EmbeddedKafkaCluster CLUSTER = new EmbeddedKafkaCluster(1);
@BeforeClass
public static void startCluster() throws IOException {
CLUSTER.start();
}
@AfterClass
public static void closeCluster() {
CLUSTER.stop();
}
@Rule
public TestName testName = new TestName();
private final String testId = safeUniqueTestName(getClass(), testName);
private final String appId = "appId_" + testId;
private final Properties properties = props();
// Task 0
private final String inputTopic = "input" + testId;
private final String outputTopic = "output" + testId;
// Task 1
private final String errorInputTopic = "error-input" + testId;
private final String errorOutputTopic = "error-output" + testId;
@Before
public void setup() {
IntegrationTestUtils.cleanStateBeforeTest(CLUSTER, errorInputTopic, errorOutputTopic, inputTopic, outputTopic);
}
private Properties props() {
return mkObjectProperties(
mkMap(
mkEntry(StreamsConfig.BOOTSTRAP_SERVERS_CONFIG, CLUSTER.bootstrapServers()),
mkEntry(StreamsConfig.APPLICATION_ID_CONFIG, appId),
mkEntry(StreamsConfig.STATE_DIR_CONFIG, TestUtils.tempDirectory(appId).getPath()),
mkEntry(StreamsConfig.STATESTORE_CACHE_MAX_BYTES_CONFIG, 0),
mkEntry(StreamsConfig.COMMIT_INTERVAL_MS_CONFIG, 15000L),
mkEntry(StreamsConfig.DEFAULT_KEY_SERDE_CLASS_CONFIG, Serdes.IntegerSerde.class),
mkEntry(StreamsConfig.DEFAULT_VALUE_SERDE_CLASS_CONFIG, Serdes.StringSerde.class))
);
}
@Test
public void shouldBackOffTaskAndEmitDataWithinSameTopology() throws Exception {
final AtomicInteger noOutputExpected = new AtomicInteger(0);
final AtomicInteger outputExpected = new AtomicInteger(0);
try (final KafkaStreamsNamedTopologyWrapper kafkaStreams = new KafkaStreamsNamedTopologyWrapper(properties)) {
kafkaStreams.setUncaughtExceptionHandler(exception -> StreamThreadExceptionResponse.REPLACE_THREAD);
final NamedTopologyBuilder builder = kafkaStreams.newNamedTopologyBuilder("topology_A");
builder.stream(inputTopic).peek((k, v) -> outputExpected.incrementAndGet()).to(outputTopic);
builder.stream(errorInputTopic)
.peek((k, v) -> {
throw new RuntimeException("Kaboom");
})
.peek((k, v) -> noOutputExpected.incrementAndGet())
.to(errorOutputTopic);
kafkaStreams.addNamedTopology(builder.build());
StreamsTestUtils.startKafkaStreamsAndWaitForRunningState(kafkaStreams);
IntegrationTestUtils.produceKeyValuesSynchronouslyWithTimestamp(
errorInputTopic,
Arrays.asList(
new KeyValue<>(1, "A")
),
TestUtils.producerConfig(
CLUSTER.bootstrapServers(),
IntegerSerializer.class,
StringSerializer.class,
new Properties()),
0L);
IntegrationTestUtils.produceKeyValuesSynchronouslyWithTimestamp(
inputTopic,
Arrays.asList(
new KeyValue<>(1, "A"),
new KeyValue<>(1, "B")
),
TestUtils.producerConfig(
CLUSTER.bootstrapServers(),
IntegerSerializer.class,
StringSerializer.class,
new Properties()),
0L);
IntegrationTestUtils.waitUntilFinalKeyValueRecordsReceived(
TestUtils.consumerConfig(
CLUSTER.bootstrapServers(),
IntegerDeserializer.class,
StringDeserializer.class
),
outputTopic,
Arrays.asList(
new KeyValue<>(1, "A"),
new KeyValue<>(1, "B")
)
);
assertThat(noOutputExpected.get(), equalTo(0));
assertThat(outputExpected.get(), equalTo(2));
}
}
}

4
streams/src/test/java/org/apache/kafka/streams/integration/FineGrainedAutoResetIntegrationTest.java
View File

@ -147,7 +147,7 @@ public class FineGrainedAutoResetIntegrationTest {
public void setUp() throws IOException {
final Properties props = new Properties();
props.put(StreamsConfig.STATESTORE_CACHE_MAX_BYTES_CONFIG, 0);
props.put(StreamsConfig.CACHE_MAX_BYTES_BUFFERING_CONFIG, 0);
props.put(StreamsConfig.COMMIT_INTERVAL_MS_CONFIG, 100L);
props.put(ConsumerConfig.METADATA_MAX_AGE_CONFIG, "1000");
props.put(ConsumerConfig.AUTO_OFFSET_RESET_CONFIG, "earliest");
@ -286,7 +286,7 @@ public class FineGrainedAutoResetIntegrationTest {
@Test
public void shouldThrowStreamsExceptionNoResetSpecified() throws InterruptedException {
final Properties props = new Properties();
props.put(StreamsConfig.STATESTORE_CACHE_MAX_BYTES_CONFIG, 0);
props.put(StreamsConfig.CACHE_MAX_BYTES_BUFFERING_CONFIG, 0);
props.put(StreamsConfig.COMMIT_INTERVAL_MS_CONFIG, 100L);
props.put(ConsumerConfig.METADATA_MAX_AGE_CONFIG, "1000");
props.put(ConsumerConfig.AUTO_OFFSET_RESET_CONFIG, "none");

2
streams/src/test/java/org/apache/kafka/streams/integration/GlobalKTableEOSIntegrationTest.java
View File

@ -136,7 +136,7 @@ public class GlobalKTableEOSIntegrationTest {
streamsConfiguration.put(StreamsConfig.APPLICATION_ID_CONFIG, "app-" + safeTestName);
streamsConfiguration.put(StreamsConfig.BOOTSTRAP_SERVERS_CONFIG, CLUSTER.bootstrapServers());
streamsConfiguration.put(StreamsConfig.STATE_DIR_CONFIG, TestUtils.tempDirectory().getPath());
streamsConfiguration.put(StreamsConfig.STATESTORE_CACHE_MAX_BYTES_CONFIG, 0L);
streamsConfiguration.put(StreamsConfig.CACHE_MAX_BYTES_BUFFERING_CONFIG, 0L);
streamsConfiguration.put(StreamsConfig.COMMIT_INTERVAL_MS_CONFIG, 100L);
streamsConfiguration.put(StreamsConfig.PROCESSING_GUARANTEE_CONFIG, eosConfig);
streamsConfiguration.put(StreamsConfig.TASK_TIMEOUT_MS_CONFIG, 1L);

2
streams/src/test/java/org/apache/kafka/streams/integration/GlobalKTableIntegrationTest.java
View File

@ -114,7 +114,7 @@ public class GlobalKTableIntegrationTest {
streamsConfiguration.put(StreamsConfig.BOOTSTRAP_SERVERS_CONFIG, CLUSTER.bootstrapServers());
streamsConfiguration.put(ConsumerConfig.AUTO_OFFSET_RESET_CONFIG, "earliest");
streamsConfiguration.put(StreamsConfig.STATE_DIR_CONFIG, TestUtils.tempDirectory().getPath());
streamsConfiguration.put(StreamsConfig.STATESTORE_CACHE_MAX_BYTES_CONFIG, 0);
streamsConfiguration.put(StreamsConfig.CACHE_MAX_BYTES_BUFFERING_CONFIG, 0);
streamsConfiguration.put(StreamsConfig.COMMIT_INTERVAL_MS_CONFIG, 100L);
globalTable = builder.globalTable(globalTableTopic, Consumed.with(Serdes.Long(), Serdes.String()),
Materialized.<Long, String, KeyValueStore<Bytes, byte[]>>as(globalStore)

2
streams/src/test/java/org/apache/kafka/streams/integration/GlobalThreadShutDownOrderTest.java
View File

@ -121,7 +121,7 @@ public class GlobalThreadShutDownOrderTest {
streamsConfiguration.put(StreamsConfig.BOOTSTRAP_SERVERS_CONFIG, CLUSTER.bootstrapServers());
streamsConfiguration.put(ConsumerConfig.AUTO_OFFSET_RESET_CONFIG, "earliest");
streamsConfiguration.put(StreamsConfig.STATE_DIR_CONFIG, TestUtils.tempDirectory().getPath());
streamsConfiguration.put(StreamsConfig.STATESTORE_CACHE_MAX_BYTES_CONFIG, 0);
streamsConfiguration.put(StreamsConfig.CACHE_MAX_BYTES_BUFFERING_CONFIG, 0);
streamsConfiguration.put(StreamsConfig.COMMIT_INTERVAL_MS_CONFIG, 100L);
final Consumed<String, Long> stringLongConsumed = Consumed.with(Serdes.String(), Serdes.Long());

2
streams/src/test/java/org/apache/kafka/streams/integration/InternalTopicIntegrationTest.java
View File

@ -109,7 +109,7 @@ public class InternalTopicIntegrationTest {
streamsProp.put(StreamsConfig.DEFAULT_VALUE_SERDE_CLASS_CONFIG, Serdes.String().getClass().getName());
streamsProp.put(StreamsConfig.STATE_DIR_CONFIG, TestUtils.tempDirectory().getPath());
streamsProp.put(StreamsConfig.COMMIT_INTERVAL_MS_CONFIG, 100L);
streamsProp.put(StreamsConfig.STATESTORE_CACHE_MAX_BYTES_CONFIG, 0);
streamsProp.put(StreamsConfig.CACHE_MAX_BYTES_BUFFERING_CONFIG, 0);
streamsProp.put(ConsumerConfig.AUTO_OFFSET_RESET_CONFIG, "earliest");
}

2
streams/src/test/java/org/apache/kafka/streams/integration/KStreamAggregationDedupIntegrationTest.java
View File

@ -111,7 +111,7 @@ public class KStreamAggregationDedupIntegrationTest {
streamsConfiguration.put(ConsumerConfig.AUTO_OFFSET_RESET_CONFIG, "earliest");
streamsConfiguration.put(StreamsConfig.STATE_DIR_CONFIG, TestUtils.tempDirectory().getPath());
streamsConfiguration.put(StreamsConfig.COMMIT_INTERVAL_MS_CONFIG, COMMIT_INTERVAL_MS);
streamsConfiguration.put(StreamsConfig.STATESTORE_CACHE_MAX_BYTES_CONFIG, 10 * 1024 * 1024L);
streamsConfiguration.put(StreamsConfig.CACHE_MAX_BYTES_BUFFERING_CONFIG, 10 * 1024 * 1024L);
final KeyValueMapper<Integer, String, String> mapper = MockMapper.selectValueMapper();
stream = builder.stream(streamOneInput, Consumed.with(Serdes.Integer(), Serdes.String()));

2
streams/src/test/java/org/apache/kafka/streams/integration/KStreamAggregationIntegrationTest.java
View File

@ -146,7 +146,7 @@ public class KStreamAggregationIntegrationTest {
streamsConfiguration.put(StreamsConfig.BOOTSTRAP_SERVERS_CONFIG, CLUSTER.bootstrapServers());
streamsConfiguration.put(ConsumerConfig.AUTO_OFFSET_RESET_CONFIG, "earliest");
streamsConfiguration.put(StreamsConfig.STATE_DIR_CONFIG, TestUtils.tempDirectory().getPath());
streamsConfiguration.put(StreamsConfig.STATESTORE_CACHE_MAX_BYTES_CONFIG, 0);
streamsConfiguration.put(StreamsConfig.CACHE_MAX_BYTES_BUFFERING_CONFIG, 0);
streamsConfiguration.put(StreamsConfig.COMMIT_INTERVAL_MS_CONFIG, 100L);
streamsConfiguration.put(StreamsConfig.DEFAULT_KEY_SERDE_CLASS_CONFIG, Serdes.String().getClass());
streamsConfiguration.put(StreamsConfig.DEFAULT_VALUE_SERDE_CLASS_CONFIG, Serdes.Integer().getClass());

2
streams/src/test/java/org/apache/kafka/streams/integration/KStreamRepartitionIntegrationTest.java
View File

@ -142,7 +142,7 @@ public class KStreamRepartitionIntegrationTest {
streamsConfiguration.put(StreamsConfig.APPLICATION_ID_CONFIG, applicationId);
streamsConfiguration.put(StreamsConfig.BOOTSTRAP_SERVERS_CONFIG, CLUSTER.bootstrapServers());
streamsConfiguration.put(StreamsConfig.STATE_DIR_CONFIG, TestUtils.tempDirectory().getPath());
streamsConfiguration.put(StreamsConfig.STATESTORE_CACHE_MAX_BYTES_CONFIG, 0);
streamsConfiguration.put(StreamsConfig.CACHE_MAX_BYTES_BUFFERING_CONFIG, 0);
streamsConfiguration.put(StreamsConfig.COMMIT_INTERVAL_MS_CONFIG, 100L);
streamsConfiguration.put(StreamsConfig.DEFAULT_KEY_SERDE_CLASS_CONFIG, Serdes.Integer().getClass());
streamsConfiguration.put(StreamsConfig.DEFAULT_VALUE_SERDE_CLASS_CONFIG, Serdes.String().getClass());

1
streams/src/test/java/org/apache/kafka/streams/integration/KTableKTableForeignKeyInnerJoinCustomPartitionerIntegrationTest.java
View File

@ -185,7 +185,6 @@ public class KTableKTableForeignKeyInnerJoinCustomPartitionerIntegrationTest {
assertEquals(expectedResult, result);
}
@SuppressWarnings("deprecation")
private static Properties getStreamsConfig() {
final Properties streamsConfig = new Properties();
streamsConfig.put(StreamsConfig.APPLICATION_ID_CONFIG, "KTable-FKJ-Partitioner");

2
streams/src/test/java/org/apache/kafka/streams/integration/KTableKTableForeignKeyInnerJoinMultiIntegrationTest.java
View File

@ -212,7 +212,7 @@ public class KTableKTableForeignKeyInnerJoinMultiIntegrationTest {
streamsConfig.put(StreamsConfig.APPLICATION_ID_CONFIG, "KTable-FKJ-Multi");
streamsConfig.put(StreamsConfig.BOOTSTRAP_SERVERS_CONFIG, CLUSTER.bootstrapServers());
streamsConfig.put(ConsumerConfig.AUTO_OFFSET_RESET_CONFIG, "earliest");
streamsConfig.put(StreamsConfig.STATESTORE_CACHE_MAX_BYTES_CONFIG, 0);
streamsConfig.put(StreamsConfig.CACHE_MAX_BYTES_BUFFERING_CONFIG, 0);
streamsConfig.put(StreamsConfig.COMMIT_INTERVAL_MS_CONFIG, 100L);
return streamsConfig;

2
streams/src/test/java/org/apache/kafka/streams/integration/KTableSourceTopicRestartIntegrationTest.java
View File

@ -72,7 +72,7 @@ public class KTableSourceTopicRestartIntegrationTest {
STREAMS_CONFIG.put(StreamsConfig.DEFAULT_KEY_SERDE_CLASS_CONFIG, Serdes.String().getClass().getName());
STREAMS_CONFIG.put(StreamsConfig.DEFAULT_VALUE_SERDE_CLASS_CONFIG, Serdes.String().getClass().getName());
STREAMS_CONFIG.put(StreamsConfig.STATE_DIR_CONFIG, TestUtils.tempDirectory().getPath());
STREAMS_CONFIG.put(StreamsConfig.STATESTORE_CACHE_MAX_BYTES_CONFIG, 0);
STREAMS_CONFIG.put(StreamsConfig.CACHE_MAX_BYTES_BUFFERING_CONFIG, 0);
STREAMS_CONFIG.put(StreamsConfig.COMMIT_INTERVAL_MS_CONFIG, 5L);
STREAMS_CONFIG.put(StreamsConfig.DEFAULT_TIMESTAMP_EXTRACTOR_CLASS_CONFIG, WallclockTimestampExtractor.class);
STREAMS_CONFIG.put(ConsumerConfig.SESSION_TIMEOUT_MS_CONFIG, 1000);

6
streams/src/test/java/org/apache/kafka/streams/integration/MetricsIntegrationTest.java
View File

@ -198,8 +198,6 @@ public class MetricsIntegrationTest {
private static final String THREAD_START_TIME = "thread-start-time";
private static final String ACTIVE_PROCESS_RATIO = "active-process-ratio";
private static final String ACTIVE_BUFFER_COUNT = "active-buffer-count";
private static final String INPUT_BUFFER_BYTES_TOTAL = "input-buffer-bytes-total";
private static final String CACHE_SIZE_BYTES_TOTAL = "cache-size-bytes-total";
private static final String SKIPPED_RECORDS_RATE = "skipped-records-rate";
private static final String SKIPPED_RECORDS_TOTAL = "skipped-records-total";
private static final String RECORD_LATENESS_AVG = "record-lateness-avg";
@ -260,7 +258,7 @@ public class MetricsIntegrationTest {
streamsConfiguration.put(StreamsConfig.DEFAULT_KEY_SERDE_CLASS_CONFIG, Serdes.Integer().getClass());
streamsConfiguration.put(StreamsConfig.DEFAULT_VALUE_SERDE_CLASS_CONFIG, Serdes.String().getClass());
streamsConfiguration.put(StreamsConfig.METRICS_RECORDING_LEVEL_CONFIG, Sensor.RecordingLevel.DEBUG.name);
streamsConfiguration.put(StreamsConfig.STATESTORE_CACHE_MAX_BYTES_CONFIG, 10 * 1024 * 1024L);
streamsConfiguration.put(StreamsConfig.CACHE_MAX_BYTES_BUFFERING_CONFIG, 10 * 1024 * 1024L);
streamsConfiguration.put(StreamsConfig.NUM_STREAM_THREADS_CONFIG, NUM_THREADS);
streamsConfiguration.put(StreamsConfig.STATE_DIR_CONFIG, TestUtils.tempDirectory().getPath());
}
@ -537,8 +535,6 @@ public class MetricsIntegrationTest {
checkMetricByName(listMetricTask, PUNCTUATE_TOTAL, 4);
checkMetricByName(listMetricTask, PROCESS_RATE, 4);
checkMetricByName(listMetricTask, PROCESS_TOTAL, 4);
checkMetricByName(listMetricTask, INPUT_BUFFER_BYTES_TOTAL, 4);
checkMetricByName(listMetricTask, CACHE_SIZE_BYTES_TOTAL, 3);
}
private void checkProcessorNodeLevelMetrics() {

2
streams/src/test/java/org/apache/kafka/streams/integration/NamedTopologyIntegrationTest.java
View File

@ -820,7 +820,7 @@ public class NamedTopologyIntegrationTest {
try {
final AtomicInteger noOutputExpected = new AtomicInteger(0);
final AtomicInteger outputExpected = new AtomicInteger(0);
props.put(StreamsConfig.STATESTORE_CACHE_MAX_BYTES_CONFIG, 0);
props.put(StreamsConfig.CACHE_MAX_BYTES_BUFFERING_CONFIG, 0);
props.put(StreamsConfig.COMMIT_INTERVAL_MS_CONFIG, 15000L);
props.put(StreamsConfig.STATE_DIR_CONFIG, TestUtils.tempDirectory(appId).getPath());
props.put(StreamsConfig.DEFAULT_KEY_SERDE_CLASS_CONFIG, Serdes.IntegerSerde.class);

2
streams/src/test/java/org/apache/kafka/streams/integration/OptimizedKTableIntegrationTest.java
View File

@ -213,7 +213,7 @@ public class OptimizedKTableIntegrationTest {
config.put(StreamsConfig.DEFAULT_VALUE_SERDE_CLASS_CONFIG, Serdes.Integer().getClass());
config.put(StreamsConfig.NUM_STANDBY_REPLICAS_CONFIG, 1);
config.put(StreamsConfig.COMMIT_INTERVAL_MS_CONFIG, 100L);
config.put(StreamsConfig.STATESTORE_CACHE_MAX_BYTES_CONFIG, 0);
config.put(StreamsConfig.CACHE_MAX_BYTES_BUFFERING_CONFIG, 0);
config.put(ConsumerConfig.MAX_POLL_RECORDS_CONFIG, 100);
config.put(ConsumerConfig.HEARTBEAT_INTERVAL_MS_CONFIG, 200);
config.put(ConsumerConfig.SESSION_TIMEOUT_MS_CONFIG, 1000);

2
streams/src/test/java/org/apache/kafka/streams/integration/PauseResumeIntegrationTest.java
View File

@ -132,7 +132,7 @@ public class PauseResumeIntegrationTest {
properties.put(StreamsConfig.DEFAULT_KEY_SERDE_CLASS_CONFIG, Serdes.String().getClass());
properties.put(StreamsConfig.DEFAULT_VALUE_SERDE_CLASS_CONFIG, Serdes.Long().getClass());
properties.put(StreamsConfig.COMMIT_INTERVAL_MS_CONFIG, 1000L);
properties.put(StreamsConfig.STATESTORE_CACHE_MAX_BYTES_CONFIG, 0);
properties.put(StreamsConfig.CACHE_MAX_BYTES_BUFFERING_CONFIG, 0);
properties.put(ConsumerConfig.AUTO_OFFSET_RESET_CONFIG, "earliest");
properties.put(ConsumerConfig.HEARTBEAT_INTERVAL_MS_CONFIG, 100);
properties.put(ConsumerConfig.SESSION_TIMEOUT_MS_CONFIG, 1000);

2
streams/src/test/java/org/apache/kafka/streams/integration/QueryableStateIntegrationTest.java
View File

@ -967,7 +967,7 @@ public class QueryableStateIntegrationTest {
}
private void verifyCanQueryState(final int cacheSizeBytes) throws Exception {
streamsConfiguration.put(StreamsConfig.STATESTORE_CACHE_MAX_BYTES_CONFIG, cacheSizeBytes);
streamsConfiguration.put(StreamsConfig.CACHE_MAX_BYTES_BUFFERING_CONFIG, cacheSizeBytes);
final StreamsBuilder builder = new StreamsBuilder();
final String[] keys = {"hello", "goodbye", "welcome", "go", "kafka"};

2
streams/src/test/java/org/apache/kafka/streams/integration/RegexSourceIntegrationTest.java
View File

@ -133,7 +133,7 @@ public class RegexSourceIntegrationTest {
public void setUp() throws InterruptedException {
outputTopic = createTopic(topicSuffixGenerator.incrementAndGet());
final Properties properties = new Properties();
properties.put(StreamsConfig.STATESTORE_CACHE_MAX_BYTES_CONFIG, 0);
properties.put(StreamsConfig.CACHE_MAX_BYTES_BUFFERING_CONFIG, 0);
properties.put(StreamsConfig.COMMIT_INTERVAL_MS_CONFIG, 100L);
properties.put(ConsumerConfig.METADATA_MAX_AGE_CONFIG, "1000");
properties.put(ConsumerConfig.AUTO_OFFSET_RESET_CONFIG, "earliest");

2
streams/src/test/java/org/apache/kafka/streams/integration/RestoreIntegrationTest.java
View File

@ -126,7 +126,7 @@ public class RestoreIntegrationTest {
final Properties streamsConfiguration = new Properties();
streamsConfiguration.put(StreamsConfig.APPLICATION_ID_CONFIG, appId);
streamsConfiguration.put(StreamsConfig.BOOTSTRAP_SERVERS_CONFIG, CLUSTER.bootstrapServers());
streamsConfiguration.put(StreamsConfig.STATESTORE_CACHE_MAX_BYTES_CONFIG, 0);
streamsConfiguration.put(StreamsConfig.CACHE_MAX_BYTES_BUFFERING_CONFIG, 0);
streamsConfiguration.put(StreamsConfig.STATE_DIR_CONFIG, TestUtils.tempDirectory(appId).getPath());
streamsConfiguration.put(StreamsConfig.DEFAULT_KEY_SERDE_CLASS_CONFIG, Serdes.Integer().getClass());
streamsConfiguration.put(StreamsConfig.DEFAULT_VALUE_SERDE_CLASS_CONFIG, Serdes.Integer().getClass());

2
streams/src/test/java/org/apache/kafka/streams/integration/RocksDBMetricsIntegrationTest.java
View File

@ -200,7 +200,7 @@ public class RocksDBMetricsIntegrationTest {
streamsConfiguration.put(StreamsConfig.METRICS_RECORDING_LEVEL_CONFIG, Sensor.RecordingLevel.DEBUG.name);
streamsConfiguration.put(StreamsConfig.PROCESSING_GUARANTEE_CONFIG, processingGuarantee);
streamsConfiguration.put(StreamsConfig.STATE_DIR_CONFIG, TestUtils.tempDirectory().getPath());
streamsConfiguration.put(StreamsConfig.STATESTORE_CACHE_MAX_BYTES_CONFIG, 0);
streamsConfiguration.put(StreamsConfig.CACHE_MAX_BYTES_BUFFERING_CONFIG, 0);
return streamsConfiguration;
}

2
streams/src/test/java/org/apache/kafka/streams/integration/SlidingWindowedKStreamIntegrationTest.java
View File

@ -141,7 +141,7 @@ public class SlidingWindowedKStreamIntegrationTest {
streamsConfiguration.put(StreamsConfig.BOOTSTRAP_SERVERS_CONFIG, CLUSTER.bootstrapServers());
streamsConfiguration.put(ConsumerConfig.AUTO_OFFSET_RESET_CONFIG, "earliest");
streamsConfiguration.put(StreamsConfig.STATE_DIR_CONFIG, TestUtils.tempDirectory().getPath());
streamsConfiguration.put(StreamsConfig.STATESTORE_CACHE_MAX_BYTES_CONFIG, 0);
streamsConfiguration.put(StreamsConfig.CACHE_MAX_BYTES_BUFFERING_CONFIG, 0);
streamsConfiguration.put(StreamsConfig.COMMIT_INTERVAL_MS_CONFIG, 100L);
streamsConfiguration.put(StreamsConfig.DEFAULT_KEY_SERDE_CLASS_CONFIG, Serdes.String().getClass());
streamsConfiguration.put(StreamsConfig.DEFAULT_VALUE_SERDE_CLASS_CONFIG, Serdes.String().getClass());

2
streams/src/test/java/org/apache/kafka/streams/integration/StandbyTaskEOSIntegrationTest.java
View File

@ -403,7 +403,7 @@ public class StandbyTaskEOSIntegrationTest {
final Properties streamsConfiguration = new Properties();
streamsConfiguration.put(StreamsConfig.APPLICATION_ID_CONFIG, appId);
streamsConfiguration.put(StreamsConfig.BOOTSTRAP_SERVERS_CONFIG, CLUSTER.bootstrapServers());
streamsConfiguration.put(StreamsConfig.STATESTORE_CACHE_MAX_BYTES_CONFIG, 0);
streamsConfiguration.put(StreamsConfig.CACHE_MAX_BYTES_BUFFERING_CONFIG, 0);
streamsConfiguration.put(StreamsConfig.STATE_DIR_CONFIG, stateDirPath);
streamsConfiguration.put(StreamsConfig.NUM_STANDBY_REPLICAS_CONFIG, 1);
streamsConfiguration.put(StreamsConfig.PROCESSING_GUARANTEE_CONFIG, eosConfig);

2
streams/src/test/java/org/apache/kafka/streams/integration/StoreUpgradeIntegrationTest.java
View File

@ -94,7 +94,7 @@ public class StoreUpgradeIntegrationTest {
final String safeTestName = safeUniqueTestName(getClass(), testName);
streamsConfiguration.put(StreamsConfig.APPLICATION_ID_CONFIG, "app-" + safeTestName);
streamsConfiguration.put(StreamsConfig.BOOTSTRAP_SERVERS_CONFIG, CLUSTER.bootstrapServers());
streamsConfiguration.put(StreamsConfig.STATESTORE_CACHE_MAX_BYTES_CONFIG, 0);
streamsConfiguration.put(StreamsConfig.CACHE_MAX_BYTES_BUFFERING_CONFIG, 0);
streamsConfiguration.put(StreamsConfig.STATE_DIR_CONFIG, TestUtils.tempDirectory().getPath());
streamsConfiguration.put(StreamsConfig.DEFAULT_KEY_SERDE_CLASS_CONFIG, Serdes.Integer().getClass());
streamsConfiguration.put(StreamsConfig.DEFAULT_VALUE_SERDE_CLASS_CONFIG, Serdes.Integer().getClass());

2
streams/src/test/java/org/apache/kafka/streams/integration/StreamTableJoinTopologyOptimizationIntegrationTest.java
View File

@ -124,7 +124,7 @@ public class StreamTableJoinTopologyOptimizationIntegrationTest {
streamsConfiguration.put(StreamsConfig.APPLICATION_ID_CONFIG, applicationId);
streamsConfiguration.put(StreamsConfig.BOOTSTRAP_SERVERS_CONFIG, CLUSTER.bootstrapServers());
streamsConfiguration.put(StreamsConfig.STATE_DIR_CONFIG, TestUtils.tempDirectory().getPath());
streamsConfiguration.put(StreamsConfig.STATESTORE_CACHE_MAX_BYTES_CONFIG, 0);
streamsConfiguration.put(StreamsConfig.CACHE_MAX_BYTES_BUFFERING_CONFIG, 0);
streamsConfiguration.put(StreamsConfig.COMMIT_INTERVAL_MS_CONFIG, 100L);
streamsConfiguration.put(StreamsConfig.DEFAULT_KEY_SERDE_CLASS_CONFIG, Serdes.Integer().getClass());
streamsConfiguration.put(StreamsConfig.DEFAULT_VALUE_SERDE_CLASS_CONFIG, Serdes.String().getClass());

2
streams/src/test/java/org/apache/kafka/streams/integration/TimeWindowedKStreamIntegrationTest.java
View File

@ -148,7 +148,7 @@ public class TimeWindowedKStreamIntegrationTest {
streamsConfiguration.put(StreamsConfig.BOOTSTRAP_SERVERS_CONFIG, CLUSTER.bootstrapServers());
streamsConfiguration.put(ConsumerConfig.AUTO_OFFSET_RESET_CONFIG, "earliest");
streamsConfiguration.put(StreamsConfig.STATE_DIR_CONFIG, TestUtils.tempDirectory().getPath());
streamsConfiguration.put(StreamsConfig.STATESTORE_CACHE_MAX_BYTES_CONFIG, 0);
streamsConfiguration.put(StreamsConfig.CACHE_MAX_BYTES_BUFFERING_CONFIG, 0);
streamsConfiguration.put(StreamsConfig.COMMIT_INTERVAL_MS_CONFIG, 100L);
streamsConfiguration.put(StreamsConfig.DEFAULT_KEY_SERDE_CLASS_CONFIG, Serdes.String().getClass());
streamsConfiguration.put(StreamsConfig.DEFAULT_VALUE_SERDE_CLASS_CONFIG, Serdes.String().getClass());

4
streams/src/test/java/org/apache/kafka/streams/kstream/internals/KTableFilterTest.java
View File

@ -51,7 +51,7 @@ import static org.hamcrest.Matchers.is;
import static org.junit.Assert.assertEquals;
import static org.junit.Assert.assertNull;
@SuppressWarnings({"unchecked"})
@SuppressWarnings("unchecked")
public class KTableFilterTest {
private final Consumed<String, Integer> consumed = Consumed.with(Serdes.String(), Serdes.Integer());
private final Properties props = StreamsTestUtils.getStreamsConfig(Serdes.String(), Serdes.Integer());
@ -59,7 +59,7 @@ public class KTableFilterTest {
@Before
public void setUp() {
// disable caching at the config level
props.setProperty(StreamsConfig.STATESTORE_CACHE_MAX_BYTES_CONFIG, "0");
props.setProperty(StreamsConfig.CACHE_MAX_BYTES_BUFFERING_CONFIG, "0");
}
private final Predicate<String, Integer> predicate = (key, value) -> (value % 2) == 0;

2
streams/src/test/java/org/apache/kafka/streams/kstream/internals/SessionWindowedKStreamImplTest.java
View File

@ -104,7 +104,7 @@ public class SessionWindowedKStreamImplTest {
@Test
public void shouldCountSessionWindowedWithCachingDisabled() {
props.put(StreamsConfig.STATESTORE_CACHE_MAX_BYTES_CONFIG, 0);
props.put(StreamsConfig.CACHE_MAX_BYTES_BUFFERING_CONFIG, 0);
shouldCountSessionWindowed();
}

18
streams/src/test/java/org/apache/kafka/streams/processor/internals/InternalTopologyBuilderTest.java
View File

@ -966,22 +966,9 @@ public class InternalTopologyBuilderTest {
}
@Test
@SuppressWarnings("deprecation")
public void shouldUseNonDeprecatedConfigToSetCacheBytesWhenBothDeprecatedAndNonDeprecatedConfigsUsed() {
final Properties globalProps = StreamsTestUtils.getStreamsConfig();
globalProps.put(StreamsConfig.STATESTORE_CACHE_MAX_BYTES_CONFIG, 200L);
globalProps.put(StreamsConfig.CACHE_MAX_BYTES_BUFFERING_CONFIG, 100L);
final StreamsConfig globalStreamsConfig = new StreamsConfig(globalProps);
final InternalTopologyBuilder topologyBuilder = builder.rewriteTopology(globalStreamsConfig);
assertThat(topologyBuilder.topologyConfigs(), equalTo(new TopologyConfig(null, globalStreamsConfig, new Properties())));
assertThat(topologyBuilder.topologyConfigs().cacheSize, equalTo(200L));
}
@Test
@SuppressWarnings("deprecation")
public void shouldOverrideGlobalStreamsConfigWhenGivenNamedTopologyProps() {
final Properties topologyOverrides = new Properties();
topologyOverrides.put(StreamsConfig.STATESTORE_CACHE_MAX_BYTES_CONFIG, 12345L);
topologyOverrides.put(StreamsConfig.CACHE_MAX_BYTES_BUFFERING_CONFIG, 12345L);
topologyOverrides.put(StreamsConfig.MAX_TASK_IDLE_MS_CONFIG, 500L);
topologyOverrides.put(StreamsConfig.TASK_TIMEOUT_MS_CONFIG, 1000L);
topologyOverrides.put(StreamsConfig.BUFFERED_RECORDS_PER_PARTITION_CONFIG, 15);
@ -1007,10 +994,9 @@ public class InternalTopologyBuilderTest {
}
@Test
@SuppressWarnings("deprecation")
public void shouldNotOverrideGlobalStreamsConfigWhenGivenUnnamedTopologyProps() {
final Properties streamsProps = StreamsTestUtils.getStreamsConfig();
streamsProps.put(StreamsConfig.STATESTORE_CACHE_MAX_BYTES_CONFIG, 12345L);
streamsProps.put(StreamsConfig.CACHE_MAX_BYTES_BUFFERING_CONFIG, 12345L);
streamsProps.put(StreamsConfig.MAX_TASK_IDLE_MS_CONFIG, 500L);
streamsProps.put(StreamsConfig.TASK_TIMEOUT_MS_CONFIG, 1000L);
streamsProps.put(StreamsConfig.BUFFERED_RECORDS_PER_PARTITION_CONFIG, 15);

89
streams/src/test/java/org/apache/kafka/streams/processor/internals/PartitionGroupTest.java
View File

@ -19,11 +19,9 @@ package org.apache.kafka.streams.processor.internals;
import org.apache.kafka.clients.consumer.ConsumerRecord;
import org.apache.kafka.common.MetricName;
import org.apache.kafka.common.TopicPartition;
import org.apache.kafka.common.header.internals.RecordHeaders;
import org.apache.kafka.common.metrics.Metrics;
import org.apache.kafka.common.metrics.Sensor;
import org.apache.kafka.common.metrics.stats.Value;
import org.apache.kafka.common.record.TimestampType;
import org.apache.kafka.common.serialization.Deserializer;
import org.apache.kafka.common.serialization.IntegerDeserializer;
import org.apache.kafka.common.serialization.IntegerSerializer;
@ -46,13 +44,10 @@ import java.util.HashMap;
import java.util.List;
import java.util.OptionalLong;
import java.util.UUID;
import java.util.Collections;
import java.util.Optional;
import static org.apache.kafka.common.utils.Utils.mkEntry;
import static org.apache.kafka.common.utils.Utils.mkMap;
import static org.apache.kafka.common.utils.Utils.mkSet;
import static org.apache.kafka.streams.processor.internals.ClientUtils.consumerRecordSizeInBytes;
import static org.hamcrest.CoreMatchers.is;
import static org.hamcrest.MatcherAssert.assertThat;
@ -89,7 +84,6 @@ public class PartitionGroupTest {
private final Metrics metrics = new Metrics();
private final Sensor enforcedProcessingSensor = metrics.sensor(UUID.randomUUID().toString());
private final MetricName lastLatenessValue = new MetricName("record-lateness-last-value", "", "", mkMap());
private final MetricName totalBytesValue = new MetricName("total-bytes-last-value", "", "", mkMap());
private static Sensor getValueSensor(final Metrics metrics, final MetricName metricName) {
@ -491,7 +485,6 @@ public class PartitionGroupTest {
mkMap(mkEntry(partition1, queue1)),
tp -> OptionalLong.of(0L),
getValueSensor(metrics, lastLatenessValue),
getValueSensor(metrics, totalBytesValue),
enforcedProcessingSensor,
maxTaskIdleMs
);
@ -525,7 +518,6 @@ public class PartitionGroupTest {
mkMap(mkEntry(partition1, queue1)),
tp -> OptionalLong.of(0L),
getValueSensor(metrics, lastLatenessValue),
getValueSensor(metrics, totalBytesValue),
enforcedProcessingSensor,
maxTaskIdleMs
);
@ -561,7 +553,6 @@ public class PartitionGroupTest {
),
tp -> OptionalLong.of(0L),
getValueSensor(metrics, lastLatenessValue),
getValueSensor(metrics, totalBytesValue),
enforcedProcessingSensor,
StreamsConfig.MAX_TASK_IDLE_MS_DISABLED
);
@ -600,7 +591,6 @@ public class PartitionGroupTest {
),
tp -> OptionalLong.of(0L),
getValueSensor(metrics, lastLatenessValue),
getValueSensor(metrics, totalBytesValue),
enforcedProcessingSensor,
0L
);
@ -640,7 +630,6 @@ public class PartitionGroupTest {
),
tp -> lags.getOrDefault(tp, OptionalLong.empty()),
getValueSensor(metrics, lastLatenessValue),
getValueSensor(metrics, totalBytesValue),
enforcedProcessingSensor,
0L
);
@ -677,7 +666,6 @@ public class PartitionGroupTest {
),
tp -> lags.getOrDefault(tp, OptionalLong.empty()),
getValueSensor(metrics, lastLatenessValue),
getValueSensor(metrics, totalBytesValue),
enforcedProcessingSensor,
0L
);
@ -714,7 +702,6 @@ public class PartitionGroupTest {
),
tp -> OptionalLong.of(0L),
getValueSensor(metrics, lastLatenessValue),
getValueSensor(metrics, totalBytesValue),
enforcedProcessingSensor,
1L
);
@ -777,81 +764,6 @@ public class PartitionGroupTest {
}
}
@Test
public void shouldUpdateTotalBytesBufferedOnRecordsAdditionAndConsumption() {
final PartitionGroup group = getBasicGroup();
assertEquals(0, group.numBuffered());
assertEquals(0L, group.totalBytesBuffered());
// add three 3 records with timestamp 1, 5, 3 to partition-1
final List<ConsumerRecord<byte[], byte[]>> list1 = Arrays.asList(
new ConsumerRecord<>("topic", 1, 1L, new MockTime().milliseconds(), TimestampType.CREATE_TIME, recordKey.length, recordValue.length, recordKey, recordValue, new RecordHeaders(), Optional.empty()),
new ConsumerRecord<>("topic", 1, 5L, new MockTime().milliseconds(), TimestampType.CREATE_TIME, recordKey.length, recordValue.length, recordKey, recordValue, new RecordHeaders(), Optional.empty()),
new ConsumerRecord<>("topic", 1, 3L, new MockTime().milliseconds(), TimestampType.CREATE_TIME, recordKey.length, recordValue.length, recordKey, recordValue, new RecordHeaders(), Optional.empty()));
long partition1TotalBytes = getBytesBufferedForRawRecords(list1);
group.addRawRecords(partition1, list1);
verifyBuffered(3, 3, 0, group);
assertEquals(group.totalBytesBuffered(), partition1TotalBytes);
assertEquals(-1L, group.streamTime());
assertEquals(0.0, metrics.metric(lastLatenessValue).metricValue());
assertThat(metrics.metric(totalBytesValue).metricValue(), is((double) partition1TotalBytes));
StampedRecord record;
final PartitionGroup.RecordInfo info = new PartitionGroup.RecordInfo();
// get first two records from partition 1
record = group.nextRecord(info, time.milliseconds());
assertEquals(record.timestamp, 1L);
record = group.nextRecord(info, time.milliseconds());
assertEquals(record.timestamp, 5L);
partition1TotalBytes -= getBytesBufferedForRawRecords(Arrays.asList(list1.get(0), list1.get(0)));
assertEquals(group.totalBytesBuffered(), partition1TotalBytes);
assertThat(metrics.metric(totalBytesValue).metricValue(), is((double) partition1TotalBytes));
// add three 3 records with timestamp 2, 4, 6 to partition-2
final List<ConsumerRecord<byte[], byte[]>> list2 = Arrays.asList(
new ConsumerRecord<>("topic", 2, 2L, record.timestamp, TimestampType.CREATE_TIME, recordKey.length, recordValue.length, recordKey, recordValue, new RecordHeaders(), Optional.empty()),
new ConsumerRecord<>("topic", 2, 4L, record.timestamp, TimestampType.CREATE_TIME, recordKey.length, recordValue.length, recordKey, recordValue, new RecordHeaders(), Optional.empty()),
new ConsumerRecord<>("topic", 2, 6L, record.timestamp, TimestampType.CREATE_TIME, recordKey.length, recordValue.length, recordKey, recordValue, new RecordHeaders(), Optional.empty()));
long partition2TotalBytes = getBytesBufferedForRawRecords(list2);
group.addRawRecords(partition2, list2);
// 1:[3]
// 2:[2, 4, 6]
assertEquals(group.totalBytesBuffered(), partition2TotalBytes + partition1TotalBytes);
assertThat(metrics.metric(totalBytesValue).metricValue(), is((double) partition2TotalBytes + partition1TotalBytes));
// get one record, next record should be ts=2 from partition 2
record = group.nextRecord(info, time.milliseconds());
// 1:[3]
// 2:[4, 6]
partition2TotalBytes -= getBytesBufferedForRawRecords(Collections.singletonList(list2.get(0)));
assertEquals(group.totalBytesBuffered(), partition2TotalBytes + partition1TotalBytes);
assertThat(metrics.metric(totalBytesValue).metricValue(), is((double) partition2TotalBytes + partition1TotalBytes));
assertEquals(record.timestamp, 2L);
// get one record, next up should have ts=3 from partition 1 (even though it has seen a larger max timestamp =5)
record = group.nextRecord(info, time.milliseconds());
// 1:[]
// 2:[4, 6]
partition1TotalBytes -= getBytesBufferedForRawRecords(Collections.singletonList(list2.get(2)));
assertEquals(group.totalBytesBuffered(), partition2TotalBytes + partition1TotalBytes);
assertThat(metrics.metric(totalBytesValue).metricValue(), is((double) partition2TotalBytes + partition1TotalBytes));
assertEquals(record.timestamp, 3L);
}
private long getBytesBufferedForRawRecords(final List<ConsumerRecord<byte[], byte[]>> rawRecords) {
long rawRecordsSizeInBytes = 0L;
for (final ConsumerRecord<byte[], byte[]> rawRecord : rawRecords) {
rawRecordsSizeInBytes += consumerRecordSizeInBytes(rawRecord);
}
return rawRecordsSizeInBytes;
}
private PartitionGroup getBasicGroup() {
return new PartitionGroup(
logContext,
@ -861,7 +773,6 @@ public class PartitionGroupTest {
),
tp -> OptionalLong.of(0L),
getValueSensor(metrics, lastLatenessValue),
getValueSensor(metrics, totalBytesValue),
enforcedProcessingSensor,
maxTaskIdleMs
);

2
streams/src/test/java/org/apache/kafka/streams/processor/internals/RepartitionOptimizingTest.java
View File

@ -110,7 +110,7 @@ public class RepartitionOptimizingTest {
@Before
public void setUp() {
streamsConfiguration = StreamsTestUtils.getStreamsConfig(Serdes.String(), Serdes.String());
streamsConfiguration.setProperty(StreamsConfig.STATESTORE_CACHE_MAX_BYTES_CONFIG, Integer.toString(1024 * 10));
streamsConfiguration.setProperty(StreamsConfig.CACHE_MAX_BYTES_BUFFERING_CONFIG, Integer.toString(1024 * 10));
streamsConfiguration.setProperty(StreamsConfig.COMMIT_INTERVAL_MS_CONFIG, Long.toString(5000));
processorValueCollector.clear();

2
streams/src/test/java/org/apache/kafka/streams/processor/internals/RepartitionWithMergeOptimizingTest.java
View File

@ -86,7 +86,7 @@ public class RepartitionWithMergeOptimizingTest {
@Before
public void setUp() {
streamsConfiguration = StreamsTestUtils.getStreamsConfig(Serdes.String(), Serdes.String());
streamsConfiguration.setProperty(StreamsConfig.STATESTORE_CACHE_MAX_BYTES_CONFIG, Integer.toString(1024 * 10));
streamsConfiguration.setProperty(StreamsConfig.CACHE_MAX_BYTES_BUFFERING_CONFIG, Integer.toString(1024 * 10));
streamsConfiguration.setProperty(StreamsConfig.COMMIT_INTERVAL_MS_CONFIG, Long.toString(5000));
}

1
streams/src/test/java/org/apache/kafka/streams/processor/internals/StandbyTaskTest.java
View File

@ -108,6 +108,7 @@ public class StandbyTaskTest {
return new StreamsConfig(mkProperties(mkMap(
mkEntry(StreamsConfig.APPLICATION_ID_CONFIG, applicationId),
mkEntry(StreamsConfig.BOOTSTRAP_SERVERS_CONFIG, "localhost:2171"),
mkEntry(StreamsConfig.BUFFERED_RECORDS_PER_PARTITION_CONFIG, "3"),
mkEntry(StreamsConfig.STATE_DIR_CONFIG, baseDir.getCanonicalPath()),
mkEntry(StreamsConfig.DEFAULT_TIMESTAMP_EXTRACTOR_CLASS_CONFIG, MockTimestampExtractor.class.getName())
)));

1
streams/src/test/java/org/apache/kafka/streams/processor/internals/StreamTaskTest.java
View File

@ -227,7 +227,6 @@ public class StreamTaskTest {
return createConfig(eosConfig, enforcedProcessingValue, LogAndFailExceptionHandler.class.getName());
}
@SuppressWarnings("deprecation")
private static StreamsConfig createConfig(
final String eosConfig,
final String enforcedProcessingValue,

232
streams/src/test/java/org/apache/kafka/streams/processor/internals/StreamThreadTest.java
View File

@ -121,7 +121,6 @@ import static org.apache.kafka.common.utils.Utils.mkProperties;
import static org.apache.kafka.common.utils.Utils.mkSet;
import static org.apache.kafka.streams.processor.internals.ClientUtils.getSharedAdminClientId;
import static org.apache.kafka.streams.processor.internals.StateManagerUtil.CHECKPOINT_FILE_NAME;
import static org.easymock.EasyMock.anyInt;
import static org.easymock.EasyMock.anyObject;
import static org.easymock.EasyMock.expect;
import static org.easymock.EasyMock.expectLastCall;
@ -164,7 +163,6 @@ public class StreamThreadTest {
private final StateDirectory stateDirectory = new StateDirectory(config, mockTime, true, false);
private final InternalTopologyBuilder internalTopologyBuilder = new InternalTopologyBuilder();
private final InternalStreamsBuilder internalStreamsBuilder = new InternalStreamsBuilder(internalTopologyBuilder);
private final long defaultMaxBufferSizeInBytes = 512 * 1024 * 1024;
private StreamsMetadataState streamsMetadataState;
private final static BiConsumer<Throwable, Boolean> HANDLER = (e, b) -> {
@ -204,6 +202,7 @@ public class StreamThreadTest {
return mkProperties(mkMap(
mkEntry(StreamsConfig.APPLICATION_ID_CONFIG, APPLICATION_ID),
mkEntry(StreamsConfig.BOOTSTRAP_SERVERS_CONFIG, "localhost:2171"),
mkEntry(StreamsConfig.BUFFERED_RECORDS_PER_PARTITION_CONFIG, "3"),
mkEntry(StreamsConfig.DEFAULT_TIMESTAMP_EXTRACTOR_CLASS_CONFIG, MockTimestampExtractor.class.getName()),
mkEntry(StreamsConfig.STATE_DIR_CONFIG, TestUtils.tempDirectory().getAbsolutePath()),
mkEntry(StreamsConfig.PROCESSING_GUARANTEE_CONFIG, enableEoS ? StreamsConfig.EXACTLY_ONCE_V2 : StreamsConfig.AT_LEAST_ONCE),
@ -254,7 +253,6 @@ public class StreamThreadTest {
mockTime,
streamsMetadataState,
0,
defaultMaxBufferSizeInBytes,
stateDirectory,
new MockStateRestoreListener(),
threadIdx,
@ -533,7 +531,6 @@ public class StreamThreadTest {
mockTime,
streamsMetadataState,
0,
defaultMaxBufferSizeInBytes,
stateDirectory,
new MockStateRestoreListener(),
threadIdx,
@ -1204,8 +1201,7 @@ public class StreamThreadTest {
new LinkedList<>(),
null,
HANDLER,
null,
defaultMaxBufferSizeInBytes
null
).updateThreadMetadata(getSharedAdminClientId(CLIENT_ID));
final StreamsException thrown = assertThrows(StreamsException.class, thread::run);
@ -1593,7 +1589,6 @@ public class StreamThreadTest {
mockTime,
streamsMetadataState,
0,
defaultMaxBufferSizeInBytes,
stateDirectory,
new MockStateRestoreListener(),
threadIdx,
@ -2343,8 +2338,7 @@ public class StreamThreadTest {
new LinkedList<>(),
null,
HANDLER,
null,
defaultMaxBufferSizeInBytes
null
) {
@Override
void runOnce() {
@ -2411,8 +2405,7 @@ public class StreamThreadTest {
new LinkedList<>(),
null,
HANDLER,
null,
defaultMaxBufferSizeInBytes
null
) {
@Override
void runOnce() {
@ -2487,8 +2480,7 @@ public class StreamThreadTest {
new LinkedList<>(),
null,
HANDLER,
null,
defaultMaxBufferSizeInBytes
null
) {
@Override
void runOnce() {
@ -2558,8 +2550,7 @@ public class StreamThreadTest {
new LinkedList<>(),
null,
HANDLER,
null,
defaultMaxBufferSizeInBytes
null
) {
@Override
void runOnce() {
@ -2627,8 +2618,7 @@ public class StreamThreadTest {
new LinkedList<>(),
null,
HANDLER,
null,
defaultMaxBufferSizeInBytes
null
) {
@Override
void runOnce() {
@ -2781,205 +2771,6 @@ public class StreamThreadTest {
}
}
@Test
public void shouldPauseNonEmptyPartitionsWhenTotalBufferSizeExceedsMaxBufferSize() {
final Consumer<byte[], byte[]> consumer = EasyMock.createNiceMock(Consumer.class);
final ConsumerGroupMetadata consumerGroupMetadata = mock(ConsumerGroupMetadata.class);
expect(consumer.groupMetadata()).andStubReturn(consumerGroupMetadata);
expect(consumerGroupMetadata.groupInstanceId()).andReturn(Optional.empty());
final Map<TopicPartition, List<ConsumerRecord<byte[], byte[]>>> records = new HashMap<>();
final List<TopicPartition> assignedPartitions = Collections.singletonList(t1p1);
consumer.assign(assignedPartitions);
records.put(t1p1, Collections.singletonList(new ConsumerRecord<>(
t1p1.topic(),
t1p1.partition(),
1,
mockTime.milliseconds(),
TimestampType.CREATE_TIME,
2,
6,
new byte[2],
new byte[6],
new RecordHeaders(),
Optional.empty())));
expect(consumer.poll(anyObject())).andReturn(new ConsumerRecords<>(records)).anyTimes();
EasyMock.replay(consumer, consumerGroupMetadata);
final TaskManager taskManager = EasyMock.createNiceMock(TaskManager.class);
final MetricName testMetricName = new MetricName("test_metric", "", "", new HashMap<>());
final Metric testMetric = new KafkaMetric(
new Object(),
testMetricName,
(Measurable) (config, now) -> 0,
null,
new MockTime());
final Map<MetricName, Metric> dummyProducerMetrics = singletonMap(testMetricName, testMetric);
expect(taskManager.producerMetrics()).andReturn(dummyProducerMetrics);
EasyMock.replay(taskManager);
final TopologyMetadata topologyMetadata = new TopologyMetadata(internalTopologyBuilder, config);
topologyMetadata.buildAndRewriteTopology();
final StreamsMetricsImpl streamsMetrics =
new StreamsMetricsImpl(metrics, CLIENT_ID, StreamsConfig.METRICS_LATEST, mockTime);
final StreamThread thread = new StreamThread(
mockTime,
config,
null,
consumer,
consumer,
changelogReader,
null,
taskManager,
streamsMetrics,
topologyMetadata,
CLIENT_ID,
new LogContext(""),
new AtomicInteger(),
new AtomicLong(Long.MAX_VALUE),
new LinkedList<>(),
null,
HANDLER,
null,
10
);
thread.setState(StreamThread.State.STARTING);
thread.setState(StreamThread.State.PARTITIONS_ASSIGNED);
thread.pollPhase();
thread.setState(StreamThread.State.PARTITIONS_REVOKED);
thread.pollPhase();
EasyMock.reset(consumer);
consumer.pause(anyObject());
// Consumer.pause should be called only once, when we added the second record.
EasyMock.expectLastCall().times(1);
}
@Test
public void shouldResumePartitionsAfterConsumptionWhenTotalBufferSizeIsLTEMaxBufferSize() {
final Consumer<byte[], byte[]> consumer = EasyMock.createNiceMock(Consumer.class);
final ConsumerGroupMetadata consumerGroupMetadata = mock(ConsumerGroupMetadata.class);
final ChangelogReader changelogReader = EasyMock.createNiceMock(ChangelogReader.class);
expect(consumer.groupMetadata()).andStubReturn(consumerGroupMetadata);
expect(consumerGroupMetadata.groupInstanceId()).andReturn(Optional.empty());
changelogReader.restore(anyObject());
expectLastCall().andVoid();
final Task task1 = mock(Task.class);
final Task task2 = mock(Task.class);
final TaskId taskId1 = new TaskId(0, 1);
final TaskId taskId2 = new TaskId(0, 2);
expect(task1.state()).andReturn(Task.State.RUNNING).anyTimes();
expect(task1.id()).andReturn(taskId1).anyTimes();
expect(task1.inputPartitions()).andReturn(mkSet(t1p1)).anyTimes();
expect(task1.committedOffsets()).andReturn(new HashMap<>()).anyTimes();
expect(task1.highWaterMark()).andReturn(new HashMap<>()).anyTimes();
expect(task1.timeCurrentIdlingStarted()).andReturn(Optional.empty()).anyTimes();
expect(task2.state()).andReturn(Task.State.RUNNING).anyTimes();
expect(task2.id()).andReturn(taskId2).anyTimes();
expect(task2.inputPartitions()).andReturn(mkSet(t1p2)).anyTimes();
expect(task2.committedOffsets()).andReturn(new HashMap<>()).anyTimes();
expect(task2.highWaterMark()).andReturn(new HashMap<>()).anyTimes();
expect(task2.timeCurrentIdlingStarted()).andReturn(Optional.empty()).anyTimes();
EasyMock.replay(task1, task2);
final Map<TopicPartition, List<ConsumerRecord<byte[], byte[]>>> records = new HashMap<>();
records.put(t1p1, Collections.singletonList(new ConsumerRecord<>(
t1p1.topic(),
t1p1.partition(),
1,
mockTime.milliseconds(),
TimestampType.CREATE_TIME,
2,
6,
new byte[2],
new byte[6],
new RecordHeaders(),
Optional.empty())));
records.put(t1p2, Collections.singletonList(new ConsumerRecord<>(
t1p2.topic(),
t1p2.partition(),
1,
mockTime.milliseconds(),
TimestampType.CREATE_TIME,
2,
6,
new byte[2],
new byte[6],
new RecordHeaders(),
Optional.empty())));
final List<TopicPartition> assignedPartitions = Arrays.asList(t1p1, t1p2);
consumer.assign(assignedPartitions);
expect(consumer.poll(anyObject())).andReturn(new ConsumerRecords<>(records));
EasyMock.replay(consumer, consumerGroupMetadata);
final TaskManager taskManager = EasyMock.createNiceMock(TaskManager.class);
final MetricName testMetricName = new MetricName("test_metric", "", "", new HashMap<>());
final Metric testMetric = new KafkaMetric(
new Object(),
testMetricName,
(Measurable) (config, now) -> 0,
null,
new MockTime());
final Map<MetricName, Metric> dummyProducerMetrics = singletonMap(testMetricName, testMetric);
expect(taskManager.producerClientIds()).andStubReturn(Collections.emptySet());
expect(taskManager.producerMetrics()).andReturn(dummyProducerMetrics);
expect(taskManager.activeTaskMap()).andReturn(mkMap(
mkEntry(taskId1, task1),
mkEntry(taskId2, task2)
));
expect(taskManager.tasks()).andStubReturn(mkMap(
mkEntry(taskId1, task1),
mkEntry(taskId2, task2)
));
expect(taskManager.standbyTaskMap()).andReturn(new HashMap<>());
expect(taskManager.commit(anyObject())).andReturn(0);
expect(taskManager.process(anyInt(), anyObject())).andReturn(1);
expect(taskManager.process(anyInt(), anyObject())).andReturn(1);
expect(taskManager.process(anyInt(), anyObject())).andReturn(0);
EasyMock.replay(taskManager);
final StreamsMetricsImpl streamsMetrics =
new StreamsMetricsImpl(metrics, CLIENT_ID, StreamsConfig.METRICS_LATEST, mockTime);
final StreamThread thread = new StreamThread(
mockTime,
new StreamsConfig(configProps(true)),
null,
consumer,
consumer,
changelogReader,
null,
taskManager,
streamsMetrics,
new TopologyMetadata(internalTopologyBuilder, config),
CLIENT_ID,
new LogContext(""),
new AtomicInteger(),
new AtomicLong(Long.MAX_VALUE),
new LinkedList<>(),
null,
HANDLER,
null,
6
).updateThreadMetadata(getSharedAdminClientId(CLIENT_ID));
thread.setState(StreamThread.State.STARTING);
thread.setState(StreamThread.State.PARTITIONS_ASSIGNED);
thread.setState(StreamThread.State.RUNNING);
thread.runOnce();
EasyMock.reset(consumer);
consumer.resume(anyObject());
// Consumer.resume should be called only once, when we added the second record.
EasyMock.expectLastCall().times(1);
}
@Test
public void shouldTransmitTaskManagerMetrics() {
final Consumer<byte[], byte[]> consumer = EasyMock.createNiceMock(Consumer.class);
@ -3048,8 +2839,7 @@ public class StreamThreadTest {
new LinkedList<>(),
null,
HANDLER,
null,
defaultMaxBufferSizeInBytes
null
);
final MetricName testMetricName = new MetricName("test_metric", "", "", new HashMap<>());
final Metric testMetric = new KafkaMetric(
@ -3106,8 +2896,7 @@ public class StreamThreadTest {
new LinkedList<>(),
null,
(e, b) -> { },
null,
defaultMaxBufferSizeInBytes
null
) {
@Override
void runOnce() {
@ -3251,8 +3040,7 @@ public class StreamThreadTest {
new LinkedList<>(),
null,
HANDLER,
null,
defaultMaxBufferSizeInBytes
null
);
}
}

46
streams/src/test/java/org/apache/kafka/streams/processor/internals/metrics/TaskMetricsTest.java
View File

@ -91,52 +91,6 @@ public class TaskMetricsTest {
}
}
@Test
public void shouldGetTotalBytesSensor() {
final String operation = "input-buffer-bytes-total";
when(streamsMetrics.taskLevelSensor(THREAD_ID, TASK_ID, operation, RecordingLevel.INFO))
.thenReturn(expectedSensor);
final String totalBytesDescription = "The total number of bytes accumulated in this task's input buffer";
when(streamsMetrics.taskLevelTagMap(THREAD_ID, TASK_ID)).thenReturn(tagMap);
try (final MockedStatic<StreamsMetricsImpl> streamsMetricsStaticMock = mockStatic(StreamsMetricsImpl.class)) {
final Sensor sensor = TaskMetrics.totalInputBufferBytesSensor(THREAD_ID, TASK_ID, streamsMetrics);
streamsMetricsStaticMock.verify(
() -> StreamsMetricsImpl.addValueMetricToSensor(
expectedSensor,
TASK_LEVEL_GROUP,
tagMap,
operation,
totalBytesDescription
)
);
assertThat(sensor, is(expectedSensor));
}
}
@Test
public void shouldGetTotalCacheSizeInBytesSensor() {
final String operation = "cache-size-bytes-total";
when(streamsMetrics.taskLevelSensor(THREAD_ID, TASK_ID, operation, RecordingLevel.INFO))
.thenReturn(expectedSensor);
final String totalBytesDescription = "The total size in bytes of this task's cache.";
when(streamsMetrics.taskLevelTagMap(THREAD_ID, TASK_ID)).thenReturn(tagMap);
try (final MockedStatic<StreamsMetricsImpl> streamsMetricsStaticMock = mockStatic(StreamsMetricsImpl.class)) {
final Sensor sensor = TaskMetrics.totalCacheSizeBytesSensor(THREAD_ID, TASK_ID, streamsMetrics);
streamsMetricsStaticMock.verify(
() -> StreamsMetricsImpl.addValueMetricToSensor(
expectedSensor,
TASK_LEVEL_GROUP,
tagMap,
operation,
totalBytesDescription
)
);
assertThat(sensor, is(expectedSensor));
}
}
@Test
public void shouldGetProcessLatencySensor() {
final String operation = "process-latency";

12
streams/src/test/java/org/apache/kafka/streams/state/internals/NamedCacheTest.java
View File

@ -16,7 +16,6 @@
*/
package org.apache.kafka.streams.state.internals;
import org.apache.kafka.common.MetricName;
import org.apache.kafka.common.header.Header;
import org.apache.kafka.common.header.Headers;
import org.apache.kafka.common.header.internals.RecordHeader;
@ -33,10 +32,6 @@ import java.util.ArrayList;
import java.util.Arrays;
import java.util.List;
import static org.apache.kafka.common.utils.Utils.mkEntry;
import static org.apache.kafka.common.utils.Utils.mkMap;
import static org.hamcrest.CoreMatchers.is;
import static org.hamcrest.MatcherAssert.assertThat;
import static org.junit.Assert.assertArrayEquals;
import static org.junit.Assert.assertEquals;
import static org.junit.Assert.assertNotNull;
@ -48,12 +43,11 @@ public class NamedCacheTest {
private final Headers headers = new RecordHeaders(new Header[]{new RecordHeader("key", "value".getBytes())});
private NamedCache cache;
private final Metrics innerMetrics = new Metrics();
private final StreamsMetricsImpl metrics = new MockStreamsMetrics(innerMetrics);
private final MetricName cacheSizeBytesTotal = new MetricName("cache-size-bytes-total", "stream-task-metrics", "", mkMap(mkEntry("thread-id", "Test worker"), mkEntry("task-id", "dummy")));
@Before
public void setUp() {
final Metrics innerMetrics = new Metrics();
final StreamsMetricsImpl metrics = new MockStreamsMetrics(innerMetrics);
cache = new NamedCache("dummy-name", metrics);
}
@ -88,7 +82,6 @@ public class NamedCacheTest {
cache.put(Bytes.wrap(new byte[]{1}), value);
cache.put(Bytes.wrap(new byte[]{2}), value);
final long size = cache.sizeInBytes();
assertThat(metrics.metrics().get(cacheSizeBytesTotal).metricValue(), is((double) size));
// 1 byte key + 24 bytes overhead
assertEquals((value.size() + 25) * 3, size);
}
@ -121,7 +114,6 @@ public class NamedCacheTest {
final LRUCacheEntry deleted = cache.delete(Bytes.wrap(new byte[]{0}));
assertArrayEquals(new byte[] {10}, deleted.value());
assertEquals(0, cache.sizeInBytes());
assertThat(metrics.metrics().get(cacheSizeBytesTotal).metricValue(), is((double) 0));
}
@Test

2
streams/src/test/java/org/apache/kafka/streams/tests/BrokerCompatibilityTest.java
View File

@ -72,7 +72,7 @@ public class BrokerCompatibilityTest {
streamsProperties.put(StreamsConfig.DEFAULT_KEY_SERDE_CLASS_CONFIG, Serdes.String().getClass());
streamsProperties.put(StreamsConfig.DEFAULT_VALUE_SERDE_CLASS_CONFIG, Serdes.String().getClass());
streamsProperties.put(StreamsConfig.COMMIT_INTERVAL_MS_CONFIG, 100L);
streamsProperties.put(StreamsConfig.STATESTORE_CACHE_MAX_BYTES_CONFIG, 0);
streamsProperties.put(StreamsConfig.CACHE_MAX_BYTES_BUFFERING_CONFIG, 0);
streamsProperties.put(StreamsConfig.PROCESSING_GUARANTEE_CONFIG, processingMode);
final int timeout = 6000;
streamsProperties.put(StreamsConfig.consumerPrefix(ConsumerConfig.SESSION_TIMEOUT_MS_CONFIG), timeout);

2
streams/src/test/java/org/apache/kafka/streams/tests/EosTestClient.java
View File

@ -106,7 +106,7 @@ public class EosTestClient extends SmokeTestUtil {
props.put(StreamsConfig.PROBING_REBALANCE_INTERVAL_MS_CONFIG, Duration.ofMinutes(1).toMillis());
props.put(StreamsConfig.MAX_WARMUP_REPLICAS_CONFIG, Integer.MAX_VALUE);
props.put(StreamsConfig.REPLICATION_FACTOR_CONFIG, 3);
props.put(StreamsConfig.STATESTORE_CACHE_MAX_BYTES_CONFIG, 0);
props.put(StreamsConfig.CACHE_MAX_BYTES_BUFFERING_CONFIG, 0);
props.put(StreamsConfig.COMMIT_INTERVAL_MS_CONFIG, 5000L); // increase commit interval to make sure a client is killed having an open transaction
props.put(StreamsConfig.DEFAULT_KEY_SERDE_CLASS_CONFIG, Serdes.String().getClass());
props.put(StreamsConfig.DEFAULT_VALUE_SERDE_CLASS_CONFIG, Serdes.Integer().getClass());

2
streams/src/test/java/org/apache/kafka/streams/tests/StreamsNamedRepartitionTest.java
View File

@ -87,7 +87,7 @@ public class StreamsNamedRepartitionTest {
final Properties config = new Properties();
config.setProperty(StreamsConfig.APPLICATION_ID_CONFIG, "StreamsNamedRepartitionTest");
config.setProperty(StreamsConfig.STATESTORE_CACHE_MAX_BYTES_CONFIG, "0");
config.setProperty(StreamsConfig.CACHE_MAX_BYTES_BUFFERING_CONFIG, "0");
config.setProperty(StreamsConfig.DEFAULT_KEY_SERDE_CLASS_CONFIG, Serdes.String().getClass().getName());
config.setProperty(StreamsConfig.DEFAULT_VALUE_SERDE_CLASS_CONFIG, Serdes.String().getClass().getName());

2
streams/src/test/java/org/apache/kafka/streams/tests/StreamsOptimizedTest.java
View File

@ -110,7 +110,7 @@ public class StreamsOptimizedTest {
config.setProperty(StreamsConfig.APPLICATION_ID_CONFIG, "StreamsOptimizedTest");
config.setProperty(StreamsConfig.STATESTORE_CACHE_MAX_BYTES_CONFIG, "0");
config.setProperty(StreamsConfig.CACHE_MAX_BYTES_BUFFERING_CONFIG, "0");
config.setProperty(StreamsConfig.DEFAULT_KEY_SERDE_CLASS_CONFIG, Serdes.String().getClass().getName());
config.setProperty(StreamsConfig.DEFAULT_VALUE_SERDE_CLASS_CONFIG, Serdes.String().getClass().getName());
config.setProperty(StreamsConfig.adminClientPrefix(AdminClientConfig.RETRIES_CONFIG), "100");

2
streams/src/test/java/org/apache/kafka/streams/tests/StreamsStandByReplicaTest.java
View File

@ -67,7 +67,7 @@ public class StreamsStandByReplicaTest {
streamsProperties.put(StreamsConfig.APPLICATION_ID_CONFIG, "kafka-streams-standby-tasks");
streamsProperties.put(StreamsConfig.COMMIT_INTERVAL_MS_CONFIG, 100L);
streamsProperties.put(StreamsConfig.NUM_STANDBY_REPLICAS_CONFIG, 1);
streamsProperties.put(StreamsConfig.STATESTORE_CACHE_MAX_BYTES_CONFIG, 0);
streamsProperties.put(StreamsConfig.CACHE_MAX_BYTES_BUFFERING_CONFIG, 0);
streamsProperties.put(StreamsConfig.DEFAULT_KEY_SERDE_CLASS_CONFIG, Serdes.String().getClass());
streamsProperties.put(StreamsConfig.DEFAULT_VALUE_SERDE_CLASS_CONFIG, Serdes.String().getClass());
streamsProperties.put(StreamsConfig.producerPrefix(ProducerConfig.ENABLE_IDEMPOTENCE_CONFIG), true);

6
streams/test-utils/src/main/java/org/apache/kafka/streams/TopologyTestDriver.java
View File

@ -117,7 +117,6 @@ import java.util.regex.Pattern;
import static org.apache.kafka.streams.internals.StreamsConfigUtils.ProcessingMode.AT_LEAST_ONCE;
import static org.apache.kafka.streams.internals.StreamsConfigUtils.ProcessingMode.EXACTLY_ONCE_ALPHA;
import static org.apache.kafka.streams.internals.StreamsConfigUtils.ProcessingMode.EXACTLY_ONCE_V2;
import static org.apache.kafka.streams.internals.StreamsConfigUtils.getTotalCacheSize;
import static org.apache.kafka.streams.state.ValueAndTimestamp.getValueOrNull;
/**
@ -156,7 +155,7 @@ import static org.apache.kafka.streams.state.ValueAndTimestamp.getValueOrNull;
*
* <p> Note that the {@code TopologyTestDriver} processes input records synchronously.
* This implies that {@link StreamsConfig#COMMIT_INTERVAL_MS_CONFIG commit.interval.ms} and
* {@link StreamsConfig#STATESTORE_CACHE_MAX_BYTES_CONFIG cache.max.bytes.buffering} configuration have no effect.
* {@link StreamsConfig#CACHE_MAX_BYTES_BUFFERING_CONFIG cache.max.bytes.buffering} configuration have no effect.
* The driver behaves as if both configs would be set to zero, i.e., as if a "commit" (and thus "flush") would happen
* after each input record.
*
@ -310,7 +309,6 @@ public class TopologyTestDriver implements Closeable {
* @param config the configuration for the topology
* @param initialWallClockTimeMs the initial value of internally mocked wall-clock time
*/
@SuppressWarnings({"unchecked", "deprecation"})
private TopologyTestDriver(final InternalTopologyBuilder builder,
final Properties config,
final long initialWallClockTimeMs) {
@ -331,7 +329,7 @@ public class TopologyTestDriver implements Closeable {
final ThreadCache cache = new ThreadCache(
logContext,
Math.max(0, getTotalCacheSize(streamsConfig)),
Math.max(0, streamsConfig.getLong(StreamsConfig.CACHE_MAX_BYTES_BUFFERING_CONFIG)),
streamsMetrics
);