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package org.apache.flink.runtime.operators;
import static org.apache.flink.runtime.operators.DamBehavior.FULL_DAM;
import static org.apache.flink.runtime.operators.DamBehavior.MATERIALIZING;
import static org.apache.flink.runtime.operators.DamBehavior.PIPELINED;
import org.apache.flink.runtime.operators.chaining.ChainedDriver;
import org.apache.flink.runtime.operators.chaining.ChainedAllReduceDriver;
import org.apache.flink.runtime.operators.chaining.ChainedFlatMapDriver;
import org.apache.flink.runtime.operators.chaining.ChainedMapDriver;
import org.apache.flink.runtime.operators.chaining.SynchronousChainedCombineDriver;
import org.apache.flink.runtime.operators.chaining.ChainedReduceCombineDriver;
/**
* Enumeration of all available operator strategies.
*/
public enum DriverStrategy {
// no local strategy, as for sources and sinks
NONE(null, null, PIPELINED, 0),
// a unary no-op operator
UNARY_NO_OP(NoOpDriver.class, NoOpChainedDriver.class, PIPELINED, PIPELINED, 0),
// a binary no-op operator. non implementation available
BINARY_NO_OP(null, null, PIPELINED, PIPELINED, 0),
// the proper mapper
MAP(MapDriver.class, ChainedMapDriver.class, PIPELINED, 0),
// the proper map partition
MAP_PARTITION(MapPartitionDriver.class, null, PIPELINED, 0),
// the flat mapper
FLAT_MAP(FlatMapDriver.class, ChainedFlatMapDriver.class, PIPELINED, 0),
// group everything together into one group and apply the Reduce function
ALL_REDUCE(AllReduceDriver.class, ChainedAllReduceDriver.class, PIPELINED, 0),
// group everything together into one group and apply the GroupReduce function
ALL_GROUP_REDUCE(AllGroupReduceDriver.class, null, PIPELINED, 0),
// group everything together into one group and apply the GroupReduce's combine function
ALL_GROUP_REDUCE_COMBINE(AllGroupReduceDriver.class, null, PIPELINED, 0),
// grouping the inputs and apply the Reduce Function
SORTED_REDUCE(ReduceDriver.class, null, PIPELINED, 1),
// sorted partial reduce is a combiner for the Reduce. same function, but potentially not fully sorted
SORTED_PARTIAL_REDUCE(ReduceCombineDriver.class, ChainedReduceCombineDriver.class, MATERIALIZING, 1),
// hashed partial reduce is a combiner for the Reduce
HASHED_PARTIAL_REDUCE(ReduceCombineDriver.class, ChainedReduceCombineDriver.class, MATERIALIZING, 1),
// grouping the inputs and apply the GroupReduce function
SORTED_GROUP_REDUCE(GroupReduceDriver.class, null, PIPELINED, 1),
// partially grouping inputs (best effort resulting possibly in duplicates --> combiner)
SORTED_GROUP_COMBINE(GroupReduceCombineDriver.class, SynchronousChainedCombineDriver.class, MATERIALIZING, 2),
// group combine on all inputs within a partition (without grouping)
ALL_GROUP_COMBINE(AllGroupCombineDriver.class, null, PIPELINED, 0),
// both inputs are merged, but materialized to the side for block-nested-loop-join among values with equal key
INNER_MERGE(JoinDriver.class, null, MATERIALIZING, MATERIALIZING, 2),
LEFT_OUTER_MERGE(LeftOuterJoinDriver.class, null, MATERIALIZING, MATERIALIZING, 2),
RIGHT_OUTER_MERGE(RightOuterJoinDriver.class, null, MATERIALIZING, MATERIALIZING, 2),
FULL_OUTER_MERGE(FullOuterJoinDriver.class, null, MATERIALIZING, MATERIALIZING, 2),
// co-grouping inputs
CO_GROUP(CoGroupDriver.class, null, PIPELINED, PIPELINED, 2),
// python-cogroup
CO_GROUP_RAW(CoGroupRawDriver.class, null, PIPELINED, PIPELINED, 0),
// the first input is build side, the second side is probe side of a hybrid hash table
HYBRIDHASH_BUILD_FIRST(JoinDriver.class, null, FULL_DAM, MATERIALIZING, 2),
// the second input is build side, the first side is probe side of a hybrid hash table
HYBRIDHASH_BUILD_SECOND(JoinDriver.class, null, MATERIALIZING, FULL_DAM, 2),
// a cached variant of HYBRIDHASH_BUILD_FIRST, that can only be used inside of iterations
HYBRIDHASH_BUILD_FIRST_CACHED(BuildFirstCachedJoinDriver.class, null, FULL_DAM, MATERIALIZING, 2),
// cached variant of HYBRIDHASH_BUILD_SECOND, that can only be used inside of iterations
HYBRIDHASH_BUILD_SECOND_CACHED(BuildSecondCachedJoinDriver.class, null, MATERIALIZING, FULL_DAM, 2),
// right outer join, the first input is build side, the second input is probe side of a hybrid hash table.
RIGHT_HYBRIDHASH_BUILD_FIRST(RightOuterJoinDriver.class, null, FULL_DAM, MATERIALIZING, 2),
// right outer join, the first input is probe side, the second input is build side of a hybrid hash table.
RIGHT_HYBRIDHASH_BUILD_SECOND(RightOuterJoinDriver.class, null, FULL_DAM, MATERIALIZING, 2),
// left outer join, the first input is build side, the second input is probe side of a hybrid hash table.
LEFT_HYBRIDHASH_BUILD_FIRST(LeftOuterJoinDriver.class, null, MATERIALIZING, FULL_DAM, 2),
// left outer join, the first input is probe side, the second input is build side of a hybrid hash table.
LEFT_HYBRIDHASH_BUILD_SECOND(LeftOuterJoinDriver.class, null, MATERIALIZING, FULL_DAM, 2),
// full outer join, the first input is build side, the second input is the probe side of a hybrid hash table.
FULL_OUTER_HYBRIDHASH_BUILD_FIRST(FullOuterJoinDriver.class, null, FULL_DAM, MATERIALIZING, 2),
// full outer join, the first input is probe side, the second input is the build side of a hybrid hash table.
FULL_OUTER_HYBRIDHASH_BUILD_SECOND(FullOuterJoinDriver.class, null, MATERIALIZING, FULL_DAM, 2),
// the second input is inner loop, the first input is outer loop and block-wise processed
NESTEDLOOP_BLOCKED_OUTER_FIRST(CrossDriver.class, null, MATERIALIZING, FULL_DAM, 0),
// the first input is inner loop, the second input is outer loop and block-wise processed
NESTEDLOOP_BLOCKED_OUTER_SECOND(CrossDriver.class, null, FULL_DAM, MATERIALIZING, 0),
// the second input is inner loop, the first input is outer loop and stream-processed
NESTEDLOOP_STREAMED_OUTER_FIRST(CrossDriver.class, null, PIPELINED, FULL_DAM, 0),
// the first input is inner loop, the second input is outer loop and stream-processed
NESTEDLOOP_STREAMED_OUTER_SECOND(CrossDriver.class, null, FULL_DAM, PIPELINED, 0),
// union utility op. unions happen implicitly on the network layer (in the readers) when bundling streams
UNION(null, null, PIPELINED, PIPELINED, 0),
// explicit binary union between a streamed and a cached input
UNION_WITH_CACHED(UnionWithTempOperator.class, null, FULL_DAM, PIPELINED, 0),
// some enumeration constants to mark sources and sinks
SOURCE(null, null, PIPELINED, 0),
SINK(null, null, PIPELINED, 0);
// --------------------------------------------------------------------------------------------
private final Class extends Driver, ?>> driverClass;
private final Class extends ChainedDriver, ?>> pushChainDriver;
private final DamBehavior dam1;
private final DamBehavior dam2;
private final int numInputs;
private final int numRequiredComparators;
@SuppressWarnings("unchecked")
private DriverStrategy(
@SuppressWarnings("rawtypes") Class extends Driver> driverClass,
@SuppressWarnings("rawtypes") Class extends ChainedDriver> pushChainDriverClass,
DamBehavior dam, int numComparator)
{
this.driverClass = (Class extends Driver, ?>>) driverClass;
this.pushChainDriver = (Class extends ChainedDriver, ?>>) pushChainDriverClass;
this.numInputs = 1;
this.dam1 = dam;
this.dam2 = null;
this.numRequiredComparators = numComparator;
}
@SuppressWarnings("unchecked")
private DriverStrategy(
@SuppressWarnings("rawtypes") Class extends Driver> driverClass,
@SuppressWarnings("rawtypes") Class extends ChainedDriver> pushChainDriverClass,
DamBehavior firstDam, DamBehavior secondDam, int numComparator)
{
this.driverClass = (Class extends Driver, ?>>) driverClass;
this.pushChainDriver = (Class extends ChainedDriver, ?>>) pushChainDriverClass;
this.numInputs = 2;
this.dam1 = firstDam;
this.dam2 = secondDam;
this.numRequiredComparators = numComparator;
}
// --------------------------------------------------------------------------------------------
public Class extends Driver, ?>> getDriverClass() {
return this.driverClass;
}
public Class extends ChainedDriver, ?>> getPushChainDriverClass() {
return this.pushChainDriver;
}
public int getNumInputs() {
return this.numInputs;
}
public DamBehavior firstDam() {
return this.dam1;
}
public DamBehavior secondDam() {
if (this.numInputs == 2) {
return this.dam2;
} else {
throw new IllegalArgumentException("The given strategy does not work on two inputs.");
}
}
public DamBehavior damOnInput(int num) {
if (num < this.numInputs) {
if (num == 0) {
return this.dam1;
} else if (num == 1) {
return this.dam2;
}
}
throw new IllegalArgumentException();
}
public boolean isMaterializing() {
return this.dam1.isMaterializing() || (this.dam2 != null && this.dam2.isMaterializing());
}
public int getNumRequiredComparators() {
return this.numRequiredComparators;
}
}
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