src/org/apache/pig/backend/hadoop/executionengine/spark/plan/SparkOperator.java - pig - Git at Google

 /*
  * 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.pig.backend.hadoop.executionengine.spark.plan;

 import java.util.ArrayList;
 import java.util.BitSet;
 import java.util.HashSet;
 import java.util.List;
 import java.util.Set;

 import org.apache.pig.backend.hadoop.executionengine.physicalLayer.PhysicalOperator;
 import org.apache.pig.backend.hadoop.executionengine.physicalLayer.plans.PhysicalPlan;
 import org.apache.pig.impl.plan.Operator;
 import org.apache.pig.impl.plan.OperatorKey;
 import org.apache.pig.impl.plan.VisitorException;
 import org.apache.pig.impl.util.MultiMap;

 /**
  * An operator model for a Spark job. Acts as a host to the plans that will
  * execute in spark.
  */
 public class SparkOperator extends Operator<SparkOpPlanVisitor> {
     private static enum OPER_FEATURE {
         NONE,
         // Indicate if this job is a sampling job
         SAMPLER,
         // Indicate if this job is a merge indexer
         INDEXER,
         // Indicate if this job is a group by job
         GROUPBY,
         // Indicate if this job is a cogroup job
         COGROUP,
         // Indicate if this job is a regular join job
         HASHJOIN,
         // Indicate if this job is a union job
         UNION,
         // Indicate if this job is a native job
         NATIVE,
         // Indicate if this job is a limit job
         LIMIT,
         // Indicate if this job is a limit job after sort
         LIMIT_AFTER_SORT;
     };

     public PhysicalPlan physicalPlan;

     public Set<String> UDFs;

     /* Name of the Custom Partitioner used */
     public String customPartitioner = null;

     public Set<PhysicalOperator> scalars;

     public int requestedParallelism = -1;

     private BitSet feature = new BitSet();

     private boolean splitter = false;

     // Name of the partition file generated by sampling process,
     // Used by Skewed Join
     private String skewedJoinPartitionFile;

     private boolean usingTypedComparator = false;

     private boolean combineSmallSplits = true;

     private List<String> crossKeys = null;

     private MultiMap<OperatorKey, OperatorKey> multiQueryOptimizeConnectionMap = new MultiMap<OperatorKey, OperatorKey>();

     // Indicates if a UDF comparator is used
     boolean isUDFComparatorUsed = false;

     //The quantiles file name if globalSort is true
     private String quantFile;

     //Indicates if this job is an order by job
     private boolean globalSort = false;

     public SparkOperator(OperatorKey k) {
         super(k);
         physicalPlan = new PhysicalPlan();
         UDFs = new HashSet<String>();
         scalars = new HashSet<PhysicalOperator>();
     }

     @Override
     public boolean supportsMultipleInputs() {
         return true;
     }

     @Override
     public boolean supportsMultipleOutputs() {
         return true;
     }

     @Override
     public String name() {
         String udfStr = getUDFsAsStr();
         StringBuilder sb = new StringBuilder("Spark" + "("
                 + requestedParallelism + (udfStr.equals("") ? "" : ",")
                 + udfStr + ")" + " - " + mKey.toString());
         return sb.toString();
     }

     private String getUDFsAsStr() {
         StringBuilder sb = new StringBuilder();
         if (UDFs != null && UDFs.size() > 0) {
             for (String str : UDFs) {
                 sb.append(str.substring(str.lastIndexOf('.') + 1));
                 sb.append(',');
             }
             sb.deleteCharAt(sb.length() - 1);
         }
         return sb.toString();
     }

     public void add(PhysicalOperator physicalOper) {
         this.physicalPlan.add(physicalOper);
     }

     @Override
     public void visit(SparkOpPlanVisitor v) throws VisitorException {
         v.visitSparkOp(this);
     }

     public void addCrossKey(String key) {
         if (crossKeys == null) {
             crossKeys = new ArrayList<String>();
         }
         crossKeys.add(key);
     }

     public List<String> getCrossKeys() {
         return crossKeys;
     }

     public boolean isGroupBy() {
         return feature.get(OPER_FEATURE.GROUPBY.ordinal());
     }

     public void markGroupBy() {
         feature.set(OPER_FEATURE.GROUPBY.ordinal());
     }

     public boolean isCogroup() {
         return feature.get(OPER_FEATURE.COGROUP.ordinal());
     }

     public void markCogroup() {
         feature.set(OPER_FEATURE.COGROUP.ordinal());
     }

     public boolean isRegularJoin() {
         return feature.get(OPER_FEATURE.HASHJOIN.ordinal());
     }

     public void markRegularJoin() {
         feature.set(OPER_FEATURE.HASHJOIN.ordinal());
     }

     public int getRequestedParallelism() {
         return requestedParallelism;
     }

     public void setSplitter(boolean spl) {
         splitter = spl;
     }

     public boolean isSplitter() {
         return splitter;
     }

     public boolean isSampler() {
         return feature.get(OPER_FEATURE.SAMPLER.ordinal());
     }

     public void markSampler() {
         feature.set(OPER_FEATURE.SAMPLER.ordinal());
     }

     public void setSkewedJoinPartitionFile(String file) {
         skewedJoinPartitionFile = file;
     }

     public String getSkewedJoinPartitionFile() {
         return skewedJoinPartitionFile;
     }

     protected boolean usingTypedComparator() {
         return usingTypedComparator;
     }

     protected void useTypedComparator(boolean useTypedComparator) {
         this.usingTypedComparator = useTypedComparator;
     }

     protected void noCombineSmallSplits() {
         combineSmallSplits = false;
     }

     public boolean combineSmallSplits() {
         return combineSmallSplits;
     }

     public boolean isIndexer() {
         return feature.get(OPER_FEATURE.INDEXER.ordinal());
     }

     public void markIndexer() {
         feature.set(OPER_FEATURE.INDEXER.ordinal());
     }
     public boolean isUnion() {
         return feature.get(OPER_FEATURE.UNION.ordinal());
     }

     public void markUnion() {
         feature.set(OPER_FEATURE.UNION.ordinal());
     }

     public boolean isNative() {
         return feature.get(OPER_FEATURE.NATIVE.ordinal());
     }

     public void markNative() {
         feature.set(OPER_FEATURE.NATIVE.ordinal());
     }

     public boolean isLimit() {
         return feature.get(OPER_FEATURE.LIMIT.ordinal());
     }

     public void markLimit() {
         feature.set(OPER_FEATURE.LIMIT.ordinal());
     }

     public boolean isLimitAfterSort() {
         return feature.get(OPER_FEATURE.LIMIT_AFTER_SORT.ordinal());
     }

     public void markLimitAfterSort() {
         feature.set(OPER_FEATURE.LIMIT_AFTER_SORT.ordinal());
     }

     public void copyFeatures(SparkOperator copyFrom, List<OPER_FEATURE> excludeFeatures) {
         for (OPER_FEATURE opf : OPER_FEATURE.values()) {
             if (excludeFeatures != null && excludeFeatures.contains(opf)) {
                 continue;
             }
             if (copyFrom.feature.get(opf.ordinal())) {
                 feature.set(opf.ordinal());
             }
         }
     }

     public boolean isSkewedJoin() {
         return (skewedJoinPartitionFile != null);
     }

     public void setRequestedParallelism(int requestedParallelism) {
         this.requestedParallelism = requestedParallelism;
     }

     public void setRequestedParallelismByReference(SparkOperator oper) {
         this.requestedParallelism = oper.requestedParallelism;
     }

     //If enable multiquery optimizer, in some cases, the predecessor(from) of a physicalOp(to) will be the leaf physicalOperator of
     //previous sparkOperator.More detail see PIG-4675
     public void addMultiQueryOptimizeConnectionItem(OperatorKey to, OperatorKey from) {
         multiQueryOptimizeConnectionMap.put(to, from);
     }

     public MultiMap<OperatorKey, OperatorKey> getMultiQueryOptimizeConnectionItem() {
         return multiQueryOptimizeConnectionMap;
     }

     public void setGlobalSort(boolean globalSort) {
         this.globalSort = globalSort;
     }

     public boolean isGlobalSort() {
         return globalSort;
     }

 }
	/*
	* 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.pig.backend.hadoop.executionengine.spark.plan;

	import java.util.ArrayList;
	import java.util.BitSet;
	import java.util.HashSet;
	import java.util.List;
	import java.util.Set;

	import org.apache.pig.backend.hadoop.executionengine.physicalLayer.PhysicalOperator;
	import org.apache.pig.backend.hadoop.executionengine.physicalLayer.plans.PhysicalPlan;
	import org.apache.pig.impl.plan.Operator;
	import org.apache.pig.impl.plan.OperatorKey;
	import org.apache.pig.impl.plan.VisitorException;
	import org.apache.pig.impl.util.MultiMap;

	/**
	* An operator model for a Spark job. Acts as a host to the plans that will
	* execute in spark.
	*/
	public class SparkOperator extends Operator<SparkOpPlanVisitor> {
	private static enum OPER_FEATURE {
	NONE,
	// Indicate if this job is a sampling job
	SAMPLER,
	// Indicate if this job is a merge indexer
	INDEXER,
	// Indicate if this job is a group by job
	GROUPBY,
	// Indicate if this job is a cogroup job
	COGROUP,
	// Indicate if this job is a regular join job
	HASHJOIN,
	// Indicate if this job is a union job
	UNION,
	// Indicate if this job is a native job
	NATIVE,
	// Indicate if this job is a limit job
	LIMIT,
	// Indicate if this job is a limit job after sort
	LIMIT_AFTER_SORT;
	};

	public PhysicalPlan physicalPlan;

	public Set<String> UDFs;

	/* Name of the Custom Partitioner used */
	public String customPartitioner = null;

	public Set<PhysicalOperator> scalars;

	public int requestedParallelism = -1;

	private BitSet feature = new BitSet();

	private boolean splitter = false;

	// Name of the partition file generated by sampling process,
	// Used by Skewed Join
	private String skewedJoinPartitionFile;

	private boolean usingTypedComparator = false;

	private boolean combineSmallSplits = true;

	private List<String> crossKeys = null;

	private MultiMap<OperatorKey, OperatorKey> multiQueryOptimizeConnectionMap = new MultiMap<OperatorKey, OperatorKey>();

	// Indicates if a UDF comparator is used
	boolean isUDFComparatorUsed = false;

	//The quantiles file name if globalSort is true
	private String quantFile;

	//Indicates if this job is an order by job
	private boolean globalSort = false;

	public SparkOperator(OperatorKey k) {
	super(k);
	physicalPlan = new PhysicalPlan();
	UDFs = new HashSet<String>();
	scalars = new HashSet<PhysicalOperator>();
	}

	@Override
	public boolean supportsMultipleInputs() {
	return true;
	}

	@Override
	public boolean supportsMultipleOutputs() {
	return true;
	}

	@Override
	public String name() {
	String udfStr = getUDFsAsStr();
	StringBuilder sb = new StringBuilder("Spark" + "("
	+ requestedParallelism + (udfStr.equals("") ? "" : ",")
	+ udfStr + ")" + " - " + mKey.toString());
	return sb.toString();
	}

	private String getUDFsAsStr() {
	StringBuilder sb = new StringBuilder();
	if (UDFs != null && UDFs.size() > 0) {
	for (String str : UDFs) {
	sb.append(str.substring(str.lastIndexOf('.') + 1));
	sb.append(',');
	}
	sb.deleteCharAt(sb.length() - 1);
	}
	return sb.toString();
	}

	public void add(PhysicalOperator physicalOper) {
	this.physicalPlan.add(physicalOper);
	}

	@Override
	public void visit(SparkOpPlanVisitor v) throws VisitorException {
	v.visitSparkOp(this);
	}

	public void addCrossKey(String key) {
	if (crossKeys == null) {
	crossKeys = new ArrayList<String>();
	}
	crossKeys.add(key);
	}

	public List<String> getCrossKeys() {
	return crossKeys;
	}

	public boolean isGroupBy() {
	return feature.get(OPER_FEATURE.GROUPBY.ordinal());
	}

	public void markGroupBy() {
	feature.set(OPER_FEATURE.GROUPBY.ordinal());
	}

	public boolean isCogroup() {
	return feature.get(OPER_FEATURE.COGROUP.ordinal());
	}

	public void markCogroup() {
	feature.set(OPER_FEATURE.COGROUP.ordinal());
	}

	public boolean isRegularJoin() {
	return feature.get(OPER_FEATURE.HASHJOIN.ordinal());
	}

	public void markRegularJoin() {
	feature.set(OPER_FEATURE.HASHJOIN.ordinal());
	}

	public int getRequestedParallelism() {
	return requestedParallelism;
	}

	public void setSplitter(boolean spl) {
	splitter = spl;
	}

	public boolean isSplitter() {
	return splitter;
	}

	public boolean isSampler() {
	return feature.get(OPER_FEATURE.SAMPLER.ordinal());
	}

	public void markSampler() {
	feature.set(OPER_FEATURE.SAMPLER.ordinal());
	}

	public void setSkewedJoinPartitionFile(String file) {
	skewedJoinPartitionFile = file;
	}

	public String getSkewedJoinPartitionFile() {
	return skewedJoinPartitionFile;
	}

	protected boolean usingTypedComparator() {
	return usingTypedComparator;
	}

	protected void useTypedComparator(boolean useTypedComparator) {
	this.usingTypedComparator = useTypedComparator;
	}

	protected void noCombineSmallSplits() {
	combineSmallSplits = false;
	}

	public boolean combineSmallSplits() {
	return combineSmallSplits;
	}

	public boolean isIndexer() {
	return feature.get(OPER_FEATURE.INDEXER.ordinal());
	}

	public void markIndexer() {
	feature.set(OPER_FEATURE.INDEXER.ordinal());
	}
	public boolean isUnion() {
	return feature.get(OPER_FEATURE.UNION.ordinal());
	}

	public void markUnion() {
	feature.set(OPER_FEATURE.UNION.ordinal());
	}

	public boolean isNative() {
	return feature.get(OPER_FEATURE.NATIVE.ordinal());
	}

	public void markNative() {
	feature.set(OPER_FEATURE.NATIVE.ordinal());
	}

	public boolean isLimit() {
	return feature.get(OPER_FEATURE.LIMIT.ordinal());
	}

	public void markLimit() {
	feature.set(OPER_FEATURE.LIMIT.ordinal());
	}

	public boolean isLimitAfterSort() {
	return feature.get(OPER_FEATURE.LIMIT_AFTER_SORT.ordinal());
	}

	public void markLimitAfterSort() {
	feature.set(OPER_FEATURE.LIMIT_AFTER_SORT.ordinal());
	}

	public void copyFeatures(SparkOperator copyFrom, List<OPER_FEATURE> excludeFeatures) {
	for (OPER_FEATURE opf : OPER_FEATURE.values()) {
	if (excludeFeatures != null && excludeFeatures.contains(opf)) {
	continue;
	}
	if (copyFrom.feature.get(opf.ordinal())) {
	feature.set(opf.ordinal());
	}
	}
	}

	public boolean isSkewedJoin() {
	return (skewedJoinPartitionFile != null);
	}

	public void setRequestedParallelism(int requestedParallelism) {
	this.requestedParallelism = requestedParallelism;
	}

	public void setRequestedParallelismByReference(SparkOperator oper) {
	this.requestedParallelism = oper.requestedParallelism;
	}

	//If enable multiquery optimizer, in some cases, the predecessor(from) of a physicalOp(to) will be the leaf physicalOperator of
	//previous sparkOperator.More detail see PIG-4675
	public void addMultiQueryOptimizeConnectionItem(OperatorKey to, OperatorKey from) {
	multiQueryOptimizeConnectionMap.put(to, from);
	}

	public MultiMap<OperatorKey, OperatorKey> getMultiQueryOptimizeConnectionItem() {
	return multiQueryOptimizeConnectionMap;
	}

	public void setGlobalSort(boolean globalSort) {
	this.globalSort = globalSort;
	}

	public boolean isGlobalSort() {
	return globalSort;
	}

	}