THIS IS A TEST INSTANCE. ALL YOUR CHANGES WILL BE LOST!!!!
Status
Current state: "Under Discussion"
Discussion thread: [DISCUSS] KIP-591: Add Kafka Streams config to set default store type
JIRA:
Released:
Please keep the discussion on the mailing list rather than commenting on the wiki (wiki discussions get unwieldy fast).
Motivation
Kafka Streams supports RocksDB stores as well as in-memory stores out of the box. By default all DSL operators use 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 store 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.type that defines the default store type used by the DSL accepting two values "rocksDB" (default) and "in_memory" .
public class StreamsConfig {
public static final String DEFAULT_DSL_STORE_IMPL_TYPE_CONFIG = "default.dsl.store.impl.type";
private static final String DEFAULT_DSL_STORE_IMPL_TYPE_DOC = "The default store implementation type used by DSL operators.";
public static final ROCKS_DB = "rocksDB";
public static final IN_MEMORY = "in_memory";
.define(DEFAULT_DSL_STORE_IMPL_TYPE_CONFIG,
Type.STRING,
ROCKS_DB,
in(ROCKS_DB, IN_MEMORY),
Importance.LOW, DEFAULT_DSL_STORE_IMPL_TYPE_DOC)
}
In addition, we propose to extend Materialized config object with a corresponding option to specify the store type:
public class Materialized<K, V, S extends StateStore> {
public enum StoreImplType {
ROCKS_DB,
IN_MEMORY
}
public static <K, V, S extends StateStore> Materialized<K, V, S> as(StoreImplType storeType);
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 .
/**
* 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 {
CONFIG = new ConfigDef()
.define(BUFFERED_RECORDS_PER_PARTITION_CONFIG,
Type.INT,
null,
Importance.LOW,
BUFFERED_RECORDS_PER_PARTITION_DOC)
.define(CACHE_MAX_BYTES_BUFFERING_CONFIG,
Type.LONG,
null,
Importance.MEDIUM,
CACHE_MAX_BYTES_BUFFERING_DOC)
.define(DEFAULT_DESERIALIZATION_EXCEPTION_HANDLER_CLASS_CONFIG,
Type.CLASS,
null,
Importance.MEDIUM,
DEFAULT_DESERIALIZATION_EXCEPTION_HANDLER_CLASS_DOC)
.define(DEFAULT_TIMESTAMP_EXTRACTOR_CLASS_CONFIG,
Type.CLASS,
null,
Importance.MEDIUM,
DEFAULT_TIMESTAMP_EXTRACTOR_CLASS_DOC)
.define(MAX_TASK_IDLE_MS_CONFIG,
Type.LONG,
null,
Importance.MEDIUM,
MAX_TASK_IDLE_MS_DOC)
.define(TASK_TIMEOUT_MS_CONFIG,
Type.LONG,
null,
Importance.MEDIUM,
TASK_TIMEOUT_MS_DOC);
.define(DEFAULT_DSL_STORE_IMPL_TYPE_CONFIG,
Type.STRING,
ROCKS_DB,
in(ROCKS_DB, IN_MEMORY),
Importance.LOW,
DEFAULT_DSL_STORE_IMPL_TYPE_DOC);
}
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) {} // new added
Proposed Changes
To create a topology with a non-default store implementation, user can declare it via new StreamBuilder(topologyConfig) like this:
Properties props = new Properties(); ... // set the "default.dsl.store.type" config as "in-memory store" props.put(StreamsConfig.DEFAULT_DSL_STORE_IMPL_TYPE_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.type` 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.
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.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
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 =
"Store supplier implementation class to use. Default is set as RocksDBPersistentStoreImplementation. It can be overwritten dynamically during streaming operation.";
.define(DEFAULT_STORE_IMPLEMENTATION_CLASS_CONFIG,
Type.CLASS,
RocksDBPersistentStoreImplementation.class.getName(),
Importance.MEDIUM,
DEFAULT_STORE_IMPLEMENTATION_CLASS_DOC)
}
The StoreImplementation interface:
/**
* A state store supplier Implementation interface for all types of {@link StateStore}.
*
*/
public interface StoreImplementation {
/**
* Create a {@link KeyValueBytesStoreSupplier}.
*
* @param name name of the store (cannot be {@code null})
* @return an instance of a {@link KeyValueBytesStoreSupplier} that can be used
* to build a persistent key-value store
*/
KeyValueBytesStoreSupplier keyValueSupplier(String name);
/**
* Create a {@link WindowBytesStoreSupplier}.
*
* @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 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 of the windows (cannot be negative)
* @param retainDuplicates whether or not to retain duplicates. Turning this on will automatically disable
* caching and means that null values will be ignored.
* @return an instance of {@link WindowBytesStoreSupplier}
* @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}
*/
WindowBytesStoreSupplier windowBytesStoreSupplier(String name,
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)
/**
* 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
/**
* 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
/**
* 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.
/**
* 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.