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Table of Contents

Status

Current state"Under DiscussionAccepted"

Discussion thread:

1. [DISCUSS] KIP-591: Add Kafka Streams config to set default store type

2. discuss: https://lists.apache.org/thread/238rstw9zj49vyhzzoh67d8b74vz4nbm

3. vote: https://lists.apache.org/thread/qz8s06t2brjcv928bo26qqtz06ysg3ln


JIRA:

Jira
serverASF JIRA
serverId5aa69414-a9e9-3523-82ec-879b028fb15b
keyKAFKA-9847

...

Please keep the discussion on the mailing list rather than commenting on the wiki (wiki discussions get unwieldy fast).

Motivation

Kafka Streams supports persistent RocksDB stores as well as in-memory stores out of the box. By default all DSL operators use persistent RocksDB stores. Currently, it is only possible to switch out RocksDB stores with in-memory store on a per operator basis what is tedious if all stores should be switched (for example in a Kubernetes deployment without local disks).

Furthermore, the current store interface via Materialized is very generic as it allows to pass in any custom state store implementation with the side effect that a user needs to name the store and thus also makes it queryable via "Interactive Queries".

We propose to simplify switching the store type via a new config to Kafka Streams that allows to set the default built-in or custom store implementation types for the whole program as well as an improved API for Materialized.

Public Interfaces


We propose to add a new configuration parameter default.dsl.store.impl.class  that defines the default store implementation class type used by the DSL . Default to RocksDBPersistentStoreImplementation.class accepting two values "rocksDB"  (default) and "in_memory" .

Code Block
public class StreamsConfig {     
    public static final String DEFAULT_DSL_STORE_IMPLEMENTATION_CLASS_CONFIG = "default.dsl.store.impl.class";
    private static final String DEFAULT_DSL_STORE_IMPLEMENTATION_CLASS_DOC = 
"The default store implementation type used by DSL   "Store supplier implementation class to use. Default is set as RocksDBPersistentStoreImplementation. It can be overwritten dynamically during streaming operation.";                


	operators.";

    public static final ROCKS_DB = "rocksDB";
    public static final IN_MEMORY = "in_memory";
    
    .define(DEFAULT_DSL_STORE_IMPLEMENTATION_CLASS_CONFIG,
            Type.CLASSSTRING,
            RocksDBPersistentStoreImplementation.class.getName()ROCKS_DB,
            Importance.MEDIUM in(ROCKS_DB, IN_MEMORY),
            Importance.LOW,             
			DEFAULT_DSL_STORE_IMPLEMENTATION_CLASS_DOC) 
}

The StoreImplementation  interfaceIn addition, we propose to extend Materialized config object with a corresponding option to specify the store type:

Code Block
languagejava
/**
 * A state store supplier Implementation interface for all types of {@link StateStore}.
 *
 */
public interface StoreImplementation {
    /**
  public class Materialized<K, V, S extends StateStore> {

  public enum StoreImplType {
    ROCKS_DB,
    IN_MEMORY
  }

  
  /**
   * CreateMaterialize a {@link KeyValueBytesStoreSupplierStateStore}.
 with the given {@link *StoreType}.
   *
   * @param namestoreType  namethe type of the state store
 (cannot  be* {@code null})
@param <K>     * @return ankey instancetype of athe {@linkstore
 KeyValueBytesStoreSupplier} that can* be@param used
<V>     * to buildvalue atype persistentof key-valuethe store
     */
 @param <S>  KeyValueBytesStoreSupplier keyValueSupplier(String name);

   type /**
of the {@link StateStore}
   * Create@return a new {@link WindowBytesStoreSupplierMaterialized}.
 instance with the given *storeName
   */
  *public @paramstatic name<K, V, S extends StateStore> Materialized<K, V, S> as(StoreImplType storeType);

  /**
   * Set the  nametype of the storematerialized (cannot be {@code@link nullStateStore}).
   *
   * @param retentionPeriodstoreType  the store type {@link  length of time StoreType} to retainuse.
 data in the* store (cannot be negative)@return itself
     */
  public Materialized<K, V, S> withStoreType(StoreImplType storeType);
}


In order to leverage the new configuration, users will need to call the new proposed API in KAFKA-13281, to provide topology-config while construct the StreamBuilder . Currently, the internal implementation for topology-config is all set. In this KIP, we'll publish the API to allow pass the topology-config into StreamBuilder .


Code Block
languagejava
/**
 * Streams configs that apply at the topology level. The values in the {@link StreamsConfig} parameter of the
 * {@link org.apache.kafka.streams.KafkaStreams} or {@link KafkaStreamsNamedTopologyWrapper} constructors will
 * 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.
 */
public class TopologyConfig extends AbstractConfig {
    private static final ConfigDef CONFIG;
    static {
                         (note that the retention period must be at least long enough to contain the
     *                              windowed data's entire life cycle, from window-start through window-end,
     *                              and for the entire grace period)
     * @param windowSize            size ofCONFIG the= windowsnew ConfigDef(cannot be negative)
     * @param retainDuplicates      whether or not to retain duplicates. Turning this on will automatically disable
.define(BUFFERED_RECORDS_PER_PARTITION_CONFIG,
          *           Type.INT,
                   caching and meansnull,
 that null values will be ignored.
     * @return an instance of {@link WindowBytesStoreSupplier}
    Importance.LOW,
 * @throws IllegalArgumentException if {@code retentionPeriod} or {@code windowSize} can't be represented as {@code long milliseconds}
     * @throws IllegalArgumentException if {@code retentionPeriod} is smaller than {@code windowSize}
	 */
BUFFERED_RECORDS_PER_PARTITION_DOC)
            WindowBytesStoreSupplier windowBytesStoreSupplier(String name.define(CACHE_MAX_BYTES_BUFFERING_CONFIG,
                    Type.LONG,
                    null,
              Duration retentionPeriod,
      Importance.MEDIUM,
                    CACHE_MAX_BYTES_BUFFERING_DOC)
             .define(DEFAULT_DESERIALIZATION_EXCEPTION_HANDLER_CLASS_CONFIG,
                   Duration windowSizeType.CLASS,
                    null,
                    Importance.MEDIUM,
               boolean retainDuplicates);


    /**DEFAULT_DESERIALIZATION_EXCEPTION_HANDLER_CLASS_DOC)
     * Create a {@link SessionBytesStoreSupplier}.
     * 
     * @param name.define(DEFAULT_TIMESTAMP_EXTRACTOR_CLASS_CONFIG,
                  name of the store (cannot be {@code null}) Type.CLASS,
     * @param retentionPeriod   length of time to retain data in the store (cannot be negative)null,
     *                 Importance.MEDIUM,
         (note that the retention period must be at least as long enough to DEFAULT_TIMESTAMP_EXTRACTOR_CLASS_DOC)
     *        .define(MAX_TASK_IDLE_MS_CONFIG,
                  contain the inactivity gapType.LONG,
 of the session and the entire grace period.)
     * @return an instance of a {@link  SessionBytesStoreSupplier}
null,
             */
      SessionBytesStoreSupplier sessionBytesStoreSupplier(String name Importance.MEDIUM,
                     MAX_TASK_IDLE_MS_DOC)
             .define(TASK_TIMEOUT_MS_CONFIG,
                     Type.LONG,
           Duration retentionPeriod);
}

For the StoreImplementation, Kakfa provides 3 built-in kinds of implementation:

RocksDBPersistentStoreImplementation.java (default)

Code Block
languagejava
/**
 * A Rocks DB persistent state store supplier Implementation.null,
 *
 */
public class RocksDBPersistentStoreImplementation implements StoreImplementation {
           @Override
    public KeyValueBytesStoreSupplier keyValueSupplier(final String name) { Importance.MEDIUM,
        return Stores.persistentTimestampedKeyValueStore(name);
         }

    @OverrideTASK_TIMEOUT_MS_DOC);
         public  WindowBytesStoreSupplier  windowBytesStoreSupplier(final String name,
         .define(DEFAULT_DSL_STORE_CONFIG,                
					 Type.STRING,
		               ROCKS_DB,
         		     in(ROCKS_DB, IN_MEMORY),
		             Importance.LOW,
         final		 Duration retentionPeriod,
   DEFAULT_DSL_STORE_DOC);
    }

 	public TopologyConfig(final StreamsConfig globalAppConfigs) {
        this(null, globalAppConfigs, new Properties());
    }

    public TopologyConfig(final String topologyName, final StreamsConfig globalAppConfigs, final Properties topologyOverrides) {}

	// check whether this is a named topology 
  	public boolean isNamedTopology(){}

	// get this task config with the  final Duration windowSize,
   topology config
	public TaskConfig getTaskConfig() {}

           



Code Block
languagejava
public class StreamsBuilder {
    public StreamsBuilder() {}

	/**
     * Create a {@code StreamsBuilder} instance.
	 *
	 * @param topologyConfigs    the streams configs that apply at the topology level. Please refer to {@link TopologyConfig} for more detail
     */
	public StreamsBuilder(final TopologyConfig topologyConfigs) final{} boolean// retainDuplicates)new {
        return Stores.persistentTimestampedWindowStore(name, retentionPeriod, windowSize, retainDuplicates);
    }

    @Override
    public SessionBytesStoreSupplier sessionBytesStoreSupplier(final String name, final Duration retentionPeriod) {
        return Stores.persistentSessionStore(name, retentionPeriod);
    }
}

RocksDBStoreImplementation.java

added


Proposed Changes

To create a topology with a non-default store implementation, user can declare it via new StreamBuilder(topologyConfig)  like this:

Code Block
languagejava
Properties props = new Properties();
...
// set the "default.dsl.store" config as "in-memory store"
props.put(StreamsConfig.DEFAULT_DSL_STORE_CONFIG, StreamsConfig.IN_MEMORY);
StreamsConfig streamsConfig = new StreamsConfig(props);

builder = new StreamsBuilder(new TopologyConfig(streamsConfig));
topology = builder.build(); 


If not set, or using the old new StreamBuidler() it'll default to use RocksDB store , which is the same as current behavior. So this is a backward-compatible design.


All stateful operators (like aggregate()reduce(),  count(), or join(), will use the state store in the `default.dsl.store` configuration. Of course, if the store is overwritten for an individual operator via Materialized the operator overwrite will be used. The improved Materialized interface allows to switch the store type more easily without the need to specify a store name.

Code Block
KStream stream = ...

// current code to change from RocksDB to in-memory
stream.groupByKey().count(Materialized.as(Stores.inMemoryKeyValueStore("some-name"));

// new code, without the need to provide a name
stream.groupByKey().count(Materialized.withStoreType(StoreImplType.IN_MEMORY));

Compatibility, Deprecation, and Migration Plan

Because the default value of the config is "ROCKS_DB"  there is no behavior change and thus there are not backward compatibility concerns.

Test Plan

Regular unit and integration testing is sufficient.

Rejected Alternatives

1. use store implementation class for allowing default custom store implementation.


We propose to add a new configuration parameter default.store.impl.class  that defines the default store implementation class used by the DSL. Default to RocksDBPersistentStoreImplementation.class 

Code Block
public class StreamsConfig {     
    public static final String DEFAULT_STORE_IMPLEMENTATION_CLASS_CONFIG = "default.store.impl.class";
    private static final String DEFAULT_STORE_IMPLEMENTATION_CLASS_DOC = 
Code Block
languagejava
/**
 * A Rocks DB state store supplier Implementation.
 *
 */
public class RocksDBStoreImplementation implements StoreImplementation {
    @Override
    public KeyValueBytesStoreSupplier keyValueSupplier(final String name) {
        return Stores.persistentKeyValueStore(name);
    }

    @Override
    public WindowBytesStoreSupplier windowBytesStoreSupplier(final String name,
                                                             final Duration retentionPeriod,
                                   "Store supplier implementation class to use. Default is set as RocksDBPersistentStoreImplementation. It can be overwritten dynamically during streaming operation.";              final Duration windowSize   


	.define(DEFAULT_STORE_IMPLEMENTATION_CLASS_CONFIG,
            Type.CLASS,
            RocksDBPersistentStoreImplementation.class.getName(),
            Importance.MEDIUM,
            DEFAULT_STORE_IMPLEMENTATION_CLASS_DOC) 
}


The StoreImplementation  interface:

Code Block
languagejava
/**
 * A state store supplier Implementation interface for all types of final boolean retainDuplicates) {
        return Stores.persistentWindowStore(name, retentionPeriod, windowSize, retainDuplicates);
    }

    @Override{@link StateStore}.
 *
 */
public interface StoreImplementation {
    /**
     * Create a {@link KeyValueBytesStoreSupplier}.
     *
    public * SessionBytesStoreSupplier@param sessionBytesStoreSupplier(finalname String name, final Duration retentionPeriod) {of the store (cannot be {@code null})
     * @return an return Stores.persistentSessionStore(name, retentionPeriod);
    }
}

InMemoryStoreImplementation.java

Code Block
languagejava
/**
 * A In-memory state store supplier Implementation.
 *
 */
public class InMemoryStoreImplementation implements StoreImplementation {
    @Overrideinstance of a {@link KeyValueBytesStoreSupplier} that can be used
     * to build a persistent key-value store
     */
    public KeyValueBytesStoreSupplier keyValueSupplier(final String name) {;

    /**
    return Stores.inMemoryKeyValueStore(name);
    }

 * Create a {@link WindowBytesStoreSupplier}.
     @Override*
    public WindowBytesStoreSupplier windowBytesStoreSupplier(final* String@param name,
                  name of the store (cannot be {@code null})
     * @param retentionPeriod       length of time to retain data in the store (cannot be negative)
     *      final Duration retentionPeriod,
                      (note that the retention period must be at least long enough to contain the
     *                     final Duration windowSize,
       windowed data's entire life cycle, from window-start through window-end,
     *                              and for the entire grace period)
     * final@param booleanwindowSize retainDuplicates) {
        return Stores.inMemoryWindowStore(name, retentionPeriod, windowSize, retainDuplicates);
    }

 size of the windows (cannot be negative)
    @Override
 * @param retainDuplicates public SessionBytesStoreSupplier sessionBytesStoreSupplier(final String name, finalwhether Durationor retentionPeriod)not {
to retain duplicates. Turning this on will  return Stores.inMemorySessionStore(name, retentionPeriod);
automatically disable
     }
}

In Materialized class, we provided one more API to allow users to provide StoreImplementation  dynamically.

Code Block
languagejava
	/**
     * Materialize a {@link StateStore} with the store implementation.
     *
     * @param storeImplementation  store implementation used tocaching materializeand themeans store
that null values will be *ignored.
 @param <K>   * @return an instance key type of the{@link storeWindowBytesStoreSupplier}
     * @param <V>       value type of the store@throws IllegalArgumentException if {@code retentionPeriod} or {@code windowSize} can't be represented as {@code long milliseconds}
     * @param@throws <S>IllegalArgumentException if {@code retentionPeriod} is smaller  type of the {@link StateStore}

than {@code windowSize}
	 */
    WindowBytesStoreSupplier windowBytesStoreSupplier(String name,
       * @return a new {@link Materialized} instance with the given storeImplementation
     */
    public static <K, V, S extends StateStore> Materialized<K, V, S> as(final StoreImplementation storeImplementation)

Proposed Changes

In order to leverage the new configuration, users will need to call the new proposed API in KAFKA-13281, to provide topology-config while construct the StreamBuilder . (currently not published, yet, but the internal implementation is all set.)

Code Block
languagejava
Properties props = new Properties();
...
// set the "default.store.impl.class" config as "InMemoryStoreImpelementation"
props.put(StreamsConfig.DEFAULT_STORE_IMPLEMENTATION_CLASS_CONFIG, InMemoryStoreImplementation.class.getName());
StreamsConfig streamsConfig = new StreamsConfig(props);

builder = new StreamsBuilder(new TopologyConfig(streamsConfig));
topology = builder.build(); 

If not set, it'll default to use RocksDBPersistentStoreImplementation , which is the same as current behavior. So this is a backward-compatible design.

All stateful operators (like aggregate()reduce(),  count(), or join(), will use the state store in the "default.store.impl.class" configuration. Of course, if the store is overwritten for an individual operator via Materialized the operator overwrite will be used. The improved Materialized interface allows to switch the store type more easily without the need to specify a store name.

Code Block
KStream stream = ...

// current code to change from RocksDB to in-memory
stream.groupByKey().count(Materialized.as(Stores.inMemoryKeyValueStore("some-name"));

// new code
stream.groupByKey().count(Materialized.as(new InMemoryStoreImplementation()));

Compatibility, Deprecation, and Migration Plan

Because the default value of the config is "RocksDBPersistentStoreImplementation"  there is no behavior change and thus there are not backward compatibility concerns.

Test Plan

Regular unit and integration testing is sufficient.

Rejected Alternatives

1. Use enum  toset the default store type

We propose to add a new configuration parameter default.dsl.store.type that defines the default store type used by the DSL accepting two values "rocksDB"  (default) and "in_memory" .

Code Block
public class StreamsConfig {
    public static final String DEFAULT_DSL_STORE_TYPE_CONFIG = "default.dsl.store.type";
    private static final String DEFAULT_DSL_STORE_TYPE_DOC = "The default store type used by DSL operators.";

    public static final ROCKS_DB = "rocksDB";
    public static final IN_MEMORY = "in_memory";
    
    .define(DEFAULT_DSL_STORE_TYPE_CONFIG,
            Type.STRING,
            ROCKS_DB,
            in(ROCKS_DB, IN_MEMORY),
            Importance.LOW,
            DEFAULT_DSL_STORE_TYPE_DOC)
}

In addition, we propose to extend Materialized config object with a corresponding option to specify the store type:

Code Block
public class Materialized<K, V, S extends StateStore> {

  public enum StoreType {
    ROCKS_DB,
    IN_MEMORY
  }

  public static <K, V, S extends StateStore> Materialized<K, V, S> as(StoryType storeType);

  public Materialized<K, V, S> withStoreType(StoryType storeType);
}

Finally, we propose to deprecate the StreamsBuilder#build() method.

Code Block
public class StreamsBuilder {
  @Deprecate
  public synchronized Topology build();
}

In order to leverage the new configuration, users will need to call StreamsBuilder#build(Properties) instead of StreamsBuilder#build(). This is an already established pattern that users need to follow to enable topology optimization. As we predict that we might need to access the config in the DSL more often in the future, we also propose to deprecate StreamsBuilder#build() method to lift the mental burden for users to know which of both methods that should use.

...

                 Duration retentionPeriod,
                                                      Duration windowSize,
                                                      boolean retainDuplicates);


    /**
     * Create a {@link SessionBytesStoreSupplier}.
     * 
     * @param name              name of the store (cannot be {@code null})
     * @param retentionPeriod   length of time to retain data in the store (cannot be negative)
     *                          (note that the retention period must be at least as long enough to
     *                          contain the inactivity gap of the session and the entire grace period.)
     * @return an instance of a {@link  SessionBytesStoreSupplier}
     */
    SessionBytesStoreSupplier sessionBytesStoreSupplier(String name,
                                                        Duration retentionPeriod);
}


For the StoreImplementation, Kakfa provides 3 built-in kinds of implementation:

RocksDBPersistentStoreImplementation.java (default)

Code Block
languagejava
/**
 * A Rocks DB persistent state store supplier Implementation.
 *
 */
public class RocksDBPersistentStoreImplementation implements StoreImplementation {
    @Override
    public KeyValueBytesStoreSupplier keyValueSupplier(final String name) {
        return Stores.persistentTimestampedKeyValueStore(name);
    }

    @Override
    public WindowBytesStoreSupplier windowBytesStoreSupplier(final String name,
                                                             final Duration retentionPeriod,
                                                             final Duration windowSize,
                                                             final boolean retainDuplicates) {
        return Stores.persistentTimestampedWindowStore(name, retentionPeriod, windowSize, retainDuplicates);
    }

    @Override
    public SessionBytesStoreSupplier sessionBytesStoreSupplier(final String name, final Duration retentionPeriod) {
        return Stores.persistentSessionStore(name, retentionPeriod);
    }
}


RocksDBStoreImplementation.java

Code Block
languagejava
/**
 * A Rocks DB state store supplier Implementation.
 *
 */
public class RocksDBStoreImplementation implements StoreImplementation {
    @Override
    public KeyValueBytesStoreSupplier keyValueSupplier(final String name) {
        return Stores.persistentKeyValueStore(name);
    }

    @Override
    public WindowBytesStoreSupplier windowBytesStoreSupplier(final String name,
                                                             final Duration retentionPeriod,
                                                             final Duration windowSize,
                                                             final boolean retainDuplicates) {
        return Stores.persistentWindowStore(name, retentionPeriod, windowSize, retainDuplicates);
    }

    @Override
    public SessionBytesStoreSupplier sessionBytesStoreSupplier(final String name, final Duration retentionPeriod) {
        return Stores.persistentSessionStore(name, retentionPeriod);
    }
}


InMemoryStoreImplementation.java

Code Block
languagejava
/**
 * A In-memory state store supplier Implementation.
 *
 */
public class InMemoryStoreImplementation implements StoreImplementation {
    @Override
    public KeyValueBytesStoreSupplier keyValueSupplier(final String name) {
        return Stores.inMemoryKeyValueStore(name);
    }

    @Override
    public WindowBytesStoreSupplier windowBytesStoreSupplier(final String name,
                                                             final Duration retentionPeriod,
                                                             final Duration windowSize,
                                                             final boolean retainDuplicates) {
        return Stores.inMemoryWindowStore(name, retentionPeriod, windowSize, retainDuplicates);
    }

    @Override
    public SessionBytesStoreSupplier sessionBytesStoreSupplier(final String name, final Duration retentionPeriod) {
        return Stores.inMemorySessionStore(name, retentionPeriod);
    }
}


In Materialized class, we provided one more API to allow users to provide StoreImplementation  dynamically.

Code Block
languagejava
	/**
     * Materialize a {@link StateStore} with the store implementation.
     *
     * @param storeImplementation  store implementation used to materialize the store
     * @param <K>       key type of the store
     * @param <V>       value type of the store
     * @param <S>       type of the {@link StateStore}

     * @return a new {@link Materialized} instance with the given storeImplementation
     */
    public static <K, V, S extends StateStore> Materialized<K, V, S> as(final StoreImplementation storeImplementation)


→ in the KIP, there's a trade-off regarding the API complexity.
With the store impl, we can support default custom stores, but introduce more complexity for users, while with the enum types, users can configure default built-in store types easily, but it can't work for custom stores.

For me, I'm OK to narrow down the scope and introduce the default built-in enum store types first.
And if there's further request, we can consider a better way to support default store impl.