/*
* 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.physicalLayer.relationalOperators;
import java.io.Serializable;
import java.util.ArrayList;
import java.util.Comparator;
import java.util.Iterator;
import java.util.List;
import org.apache.commons.logging.Log;
import org.apache.commons.logging.LogFactory;
import org.apache.pig.PigException;
import org.apache.pig.backend.executionengine.ExecException;
import org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.PigMapReduce;
import org.apache.pig.backend.hadoop.executionengine.physicalLayer.POStatus;
import org.apache.pig.backend.hadoop.executionengine.physicalLayer.PhysicalOperator;
import org.apache.pig.backend.hadoop.executionengine.physicalLayer.Result;
import org.apache.pig.backend.hadoop.executionengine.physicalLayer.expressionOperators.ExpressionOperator;
import org.apache.pig.backend.hadoop.executionengine.physicalLayer.expressionOperators.POUserComparisonFunc;
import org.apache.pig.backend.hadoop.executionengine.physicalLayer.plans.PhyPlanVisitor;
import org.apache.pig.backend.hadoop.executionengine.physicalLayer.plans.PhysicalPlan;
import org.apache.pig.data.BagFactory;
import org.apache.pig.data.DataBag;
import org.apache.pig.data.DataType;
import org.apache.pig.data.InternalSortedBag;
import org.apache.pig.data.Tuple;
import org.apache.pig.impl.plan.NodeIdGenerator;
import org.apache.pig.impl.plan.OperatorKey;
import org.apache.pig.impl.plan.VisitorException;
/**
* This implementation is applicable for both the physical plan and for the
* local backend, as the conversion of physical to mapreduce would see the SORT
* operator and take necessary steps to convert it to a quantile and a sort job.
*
* This is a blocking operator. The sortedDataBag accumulates Tuples and sorts
* them only when there an iterator is started. So all the tuples from the input
* operator should be accumulated and filled into the dataBag. The attachInput
* method is not applicable here.
*
*
*/
//We intentionally skip type checking in backend for performance reasons
@SuppressWarnings("unchecked")
public class POSort extends PhysicalOperator {
private static final Log log = LogFactory.getLog(POSort.class);
/**
*
*/
private static final long serialVersionUID = 1L;
//private List<Integer> mSortCols;
private List<PhysicalPlan> sortPlans;
private List<Byte> ExprOutputTypes;
private List<Boolean> mAscCols;
private POUserComparisonFunc mSortFunc;
private Comparator<Tuple> mComparator;
private boolean inputsAccumulated = false;
private long limit;
public boolean isUDFComparatorUsed = false;
private DataBag sortedBag;
transient Iterator<Tuple> it;
public POSort(
OperatorKey k,
int rp,
List inp,
List<PhysicalPlan> sortPlans,
List<Boolean> mAscCols,
POUserComparisonFunc mSortFunc) {
super(k, rp, inp);
//this.mSortCols = mSortCols;
this.sortPlans = sortPlans;
this.mAscCols = mAscCols;
this.limit = -1;
this.mSortFunc = mSortFunc;
if (mSortFunc == null) {
mComparator = new SortComparator();
/*sortedBag = BagFactory.getInstance().newSortedBag(
new SortComparator());*/
ExprOutputTypes = new ArrayList<Byte>(sortPlans.size());
for(PhysicalPlan plan : sortPlans) {
ExprOutputTypes.add(plan.getLeaves().get(0).getResultType());
}
} else {
/*sortedBag = BagFactory.getInstance().newSortedBag(
new UDFSortComparator());*/
mComparator = new UDFSortComparator();
isUDFComparatorUsed = true;
}
}
public POSort(OperatorKey k, int rp, List inp) {
super(k, rp, inp);
}
public POSort(OperatorKey k, int rp) {
super(k, rp);
}
public POSort(OperatorKey k, List inp) {
super(k, inp);
}
public POSort(OperatorKey k) {
super(k);
}
public class SortComparator implements Comparator<Tuple>,Serializable {
/**
*
*/
private static final long serialVersionUID = 1L;
@Override
public int compare(Tuple o1, Tuple o2) {
int count = 0;
int ret = 0;
if(sortPlans == null || sortPlans.size() == 0) {
return 0;
}
for(PhysicalPlan plan : sortPlans) {
try {
plan.attachInput(o1);
Result res1 = getResult(plan, ExprOutputTypes.get(count));
plan.attachInput(o2);
Result res2 = getResult(plan, ExprOutputTypes.get(count));
if(res1.returnStatus != POStatus.STATUS_OK || res2.returnStatus != POStatus.STATUS_OK) {
log.error("Error processing the input in the expression plan : " + plan.toString());
} else {
if(mAscCols.get(count++)) {
ret = DataType.compare(res1.result, res2.result);
// If they are not equal, return
// Otherwise, keep comparing the next one
if (ret != 0) {
return ret ;
}
}
else {
ret = DataType.compare(res2.result, res1.result);
if (ret != 0) {
return ret ;
}
}
}
} catch (ExecException e) {
log.error("Invalid result while executing the expression plan : " + plan.toString() + "\n" + e.getMessage());
}
}
return ret;
}
private Result getResult(PhysicalPlan plan, byte resultType) throws ExecException {
ExpressionOperator Op = (ExpressionOperator) plan.getLeaves().get(0);
Result res = null;
switch (resultType) {
case DataType.BYTEARRAY:
case DataType.CHARARRAY:
case DataType.DOUBLE:
case DataType.FLOAT:
case DataType.BOOLEAN:
case DataType.INTEGER:
case DataType.LONG:
case DataType.BIGINTEGER:
case DataType.BIGDECIMAL:
case DataType.DATETIME:
case DataType.TUPLE:
res = Op.getNext(resultType);
break;
default: {
int errCode = 2082;
String msg = "Did not expect result of type: " +
DataType.findTypeName(resultType);
throw new ExecException(msg, errCode, PigException.BUG);
}
}
return res;
}
}
public class UDFSortComparator implements Comparator<Tuple>,Serializable {
/**
*
*/
private static final long serialVersionUID = 1L;
@Override
public int compare(Tuple t1, Tuple t2) {
mSortFunc.attachInput(t1, t2);
Integer i = null;
Result res = null;
try {
res = mSortFunc.getNextInteger();
} catch (ExecException e) {
log.error("Input not ready. Error on reading from input. "
+ e.getMessage());
}
if (res != null) {
return (Integer) res.result;
} else {
return 0;
}
}
}
@Override
public String name() {
return getAliasString() + "POSort" + "["
+ DataType.findTypeName(resultType) + "]" + "("
+ (mSortFunc != null ? mSortFunc.getFuncSpec() : "") + ")"
+ " - " + mKey.toString();
}
@Override
public boolean isBlocking() {
return true;
}
@Override
public Result getNextTuple() throws ExecException {
Result res = new Result();
if (!inputsAccumulated) {
res = processInput();
// by default, we create InternalSortedBag, unless user configures
// explicitly to use old bag
String bagType = null;
if (PigMapReduce.sJobConfInternal.get() != null) {
bagType = PigMapReduce.sJobConfInternal.get().get("pig.cachedbag.sort.type");
}
if (bagType != null && bagType.equalsIgnoreCase("default")) {
sortedBag = BagFactory.getInstance().newSortedBag(mComparator);
} else {
sortedBag = new InternalSortedBag(3, mComparator);
}
while (res.returnStatus != POStatus.STATUS_EOP) {
if (res.returnStatus == POStatus.STATUS_ERR) {
log.error("Error in reading from the inputs");
return res;
//continue;
} else if (res.returnStatus == POStatus.STATUS_NULL) {
// ignore the null, read the next tuple.
res = processInput();
continue;
}
sortedBag.add((Tuple) res.result);
res = processInput();
}
inputsAccumulated = true;
}
if (it == null) {
it = sortedBag.iterator();
}
if (it.hasNext()) {
res.result = it.next();
illustratorMarkup(res.result, res.result, 0);
res.returnStatus = POStatus.STATUS_OK;
} else {
res.returnStatus = POStatus.STATUS_EOP;
reset();
}
return res;
}
public Comparator<Tuple> getmComparator() {
return mComparator;
}
@Override
public boolean supportsMultipleInputs() {
return false;
}
@Override
public boolean supportsMultipleOutputs() {
return false;
}
@Override
public void visit(PhyPlanVisitor v) throws VisitorException {
v.visitSort(this);
}
@Override
public void reset() {
inputsAccumulated = false;
sortedBag = null;
it = null;
}
public List<PhysicalPlan> getSortPlans() {
return sortPlans;
}
public void setSortPlans(List<PhysicalPlan> sortPlans) {
this.sortPlans = sortPlans;
}
public POUserComparisonFunc getMSortFunc() {
return mSortFunc;
}
public void setMSortFunc(POUserComparisonFunc sortFunc) {
mSortFunc = sortFunc;
}
public List<Boolean> getMAscCols() {
return mAscCols;
}
public void setLimit(long l)
{
limit = l;
}
public long getLimit()
{
return limit;
}
public boolean isLimited()
{
return (limit!=-1);
}
@Override
public POSort clone() throws CloneNotSupportedException {
List<PhysicalPlan> clonePlans = new
ArrayList<PhysicalPlan>(sortPlans.size());
for (PhysicalPlan plan : sortPlans) {
clonePlans.add(plan.clone());
}
List<Boolean> cloneAsc = new ArrayList<Boolean>(mAscCols.size());
for (Boolean b : mAscCols) {
cloneAsc.add(b);
}
POUserComparisonFunc cloneFunc = null;
if (mSortFunc != null) {
cloneFunc = mSortFunc.clone();
}
// Don't set inputs as PhysicalPlan.clone will take care of that
return new POSort(new OperatorKey(mKey.scope,
NodeIdGenerator.getGenerator().getNextNodeId(mKey.scope)),
requestedParallelism, null, clonePlans, cloneAsc, cloneFunc);
}
public Tuple illustratorMarkup(Object in, Object out, int eqClassIndex) {
if(illustrator != null) {
illustrator.getEquivalenceClasses().get(eqClassIndex).add((Tuple) in);
illustrator.addData((Tuple) out);
}
return (Tuple) out;
}
}