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/**
* 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.hadoop.hive.ql.optimizer.metainfo.annotation;
import java.util.ArrayList;
import java.util.List;
import java.util.Map.Entry;
import java.util.Stack;
import org.apache.hadoop.hive.metastore.api.Order;
import org.apache.hadoop.hive.ql.exec.GroupByOperator;
import org.apache.hadoop.hive.ql.exec.JoinOperator;
import org.apache.hadoop.hive.ql.exec.Operator;
import org.apache.hadoop.hive.ql.exec.ReduceSinkOperator;
import org.apache.hadoop.hive.ql.exec.SelectOperator;
import org.apache.hadoop.hive.ql.exec.TableScanOperator;
import org.apache.hadoop.hive.ql.lib.Node;
import org.apache.hadoop.hive.ql.lib.NodeProcessor;
import org.apache.hadoop.hive.ql.lib.NodeProcessorCtx;
import org.apache.hadoop.hive.ql.metadata.HiveException;
import org.apache.hadoop.hive.ql.metadata.Partition;
import org.apache.hadoop.hive.ql.metadata.Table;
import org.apache.hadoop.hive.ql.optimizer.AbstractBucketJoinProc;
import org.apache.hadoop.hive.ql.parse.ParseContext;
import org.apache.hadoop.hive.ql.parse.PrunedPartitionList;
import org.apache.hadoop.hive.ql.parse.SemanticException;
import org.apache.hadoop.hive.ql.plan.ExprNodeColumnDesc;
import org.apache.hadoop.hive.ql.plan.ExprNodeDesc;
import org.apache.hadoop.hive.ql.plan.OpTraits;
import org.apache.hadoop.hive.ql.plan.OperatorDesc;
/*
* This class populates the following operator traits for the entire operator tree:
* 1. Bucketing columns.
* 2. Table
* 3. Pruned partitions
*
* Bucketing columns refer to not to the bucketing columns from the table object but instead
* to the dynamic 'bucketing' done by operators such as reduce sinks and group-bys.
* All the operators have a translation from their input names to the output names corresponding
* to the bucketing column. The colExprMap that is a part of every operator is used in this
* transformation.
*
* The table object is used for the base-case in map-reduce when deciding to perform a bucket
* map join. This object is used in the BucketMapJoinProc to find if number of files for the
* table correspond to the number of buckets specified in the meta data.
*
* The pruned partition information has the same purpose as the table object at the moment.
*
* The traits of sorted-ness etc. can be populated as well for future optimizations to make use of.
*/
public class OpTraitsRulesProcFactory {
public static class DefaultRule implements NodeProcessor {
@Override
public Object process(Node nd, Stack stack, NodeProcessorCtx procCtx,
Object... nodeOutputs) throws SemanticException {
@SuppressWarnings("unchecked")
Operator op = (Operator)nd;
op.setOpTraits(op.getParentOperators().get(0).getOpTraits());
return null;
}
}
/*
* Reduce sink operator is the de-facto operator
* for determining keyCols (emit keys of a map phase)
*/
public static class ReduceSinkRule implements NodeProcessor {
@Override
public Object process(Node nd, Stack stack, NodeProcessorCtx procCtx,
Object... nodeOutputs) throws SemanticException {
ReduceSinkOperator rs = (ReduceSinkOperator)nd;
List bucketCols = new ArrayList();
if (rs.getColumnExprMap() != null) {
for (ExprNodeDesc exprDesc : rs.getConf().getKeyCols()) {
for (Entry entry : rs.getColumnExprMap().entrySet()) {
if (exprDesc.isSame(entry.getValue())) {
bucketCols.add(entry.getKey());
}
}
}
}
List> listBucketCols = new ArrayList>();
listBucketCols.add(bucketCols);
int numBuckets = -1;
OpTraits parentOpTraits = rs.getParentOperators().get(0).getConf().getTraits();
if (parentOpTraits != null) {
numBuckets = parentOpTraits.getNumBuckets();
}
OpTraits opTraits = new OpTraits(listBucketCols, numBuckets, listBucketCols);
rs.setOpTraits(opTraits);
return null;
}
}
/*
* Table scan has the table object and pruned partitions that has information
* such as bucketing, sorting, etc. that is used later for optimization.
*/
public static class TableScanRule implements NodeProcessor {
public boolean checkBucketedTable(Table tbl, ParseContext pGraphContext,
PrunedPartitionList prunedParts) throws SemanticException {
if (tbl.isPartitioned()) {
List partitions = prunedParts.getNotDeniedPartns();
// construct a mapping of (Partition->bucket file names) and (Partition -> bucket number)
if (!partitions.isEmpty()) {
for (Partition p : partitions) {
List fileNames =
AbstractBucketJoinProc.getBucketFilePathsOfPartition(p.getDataLocation(),
pGraphContext);
// The number of files for the table should be same as number of
// buckets.
int bucketCount = p.getBucketCount();
if (fileNames.size() != 0 && fileNames.size() != bucketCount) {
return false;
}
}
}
} else {
List fileNames =
AbstractBucketJoinProc.getBucketFilePathsOfPartition(tbl.getDataLocation(),
pGraphContext);
Integer num = new Integer(tbl.getNumBuckets());
// The number of files for the table should be same as number of buckets.
if (fileNames.size() != 0 && fileNames.size() != num) {
return false;
}
}
return true;
}
@Override
public Object process(Node nd, Stack stack, NodeProcessorCtx procCtx,
Object... nodeOutputs) throws SemanticException {
TableScanOperator ts = (TableScanOperator)nd;
AnnotateOpTraitsProcCtx opTraitsCtx = (AnnotateOpTraitsProcCtx)procCtx;
Table table = ts.getConf().getTableMetadata();
PrunedPartitionList prunedPartList = null;
try {
prunedPartList =
opTraitsCtx.getParseContext().getPrunedPartitions(ts.getConf().getAlias(), ts);
} catch (HiveException e) {
prunedPartList = null;
}
boolean isBucketed = checkBucketedTable(table,
opTraitsCtx.getParseContext(), prunedPartList);
List> bucketColsList = new ArrayList>();
List> sortedColsList = new ArrayList>();
int numBuckets = -1;
if (isBucketed) {
bucketColsList.add(table.getBucketCols());
numBuckets = table.getNumBuckets();
List sortCols = new ArrayList();
for (Order colSortOrder : table.getSortCols()) {
sortCols.add(colSortOrder.getCol());
}
sortedColsList.add(sortCols);
}
// num reduce sinks hardcoded to 0 because TS has no parents
OpTraits opTraits = new OpTraits(bucketColsList, numBuckets, sortedColsList);
ts.setOpTraits(opTraits);
return null;
}
}
/*
* Group-by re-orders the keys emitted hence, the keyCols would change.
*/
public static class GroupByRule implements NodeProcessor {
@Override
public Object process(Node nd, Stack stack, NodeProcessorCtx procCtx,
Object... nodeOutputs) throws SemanticException {
GroupByOperator gbyOp = (GroupByOperator)nd;
List gbyKeys = new ArrayList();
for (ExprNodeDesc exprDesc : gbyOp.getConf().getKeys()) {
for (Entry entry : gbyOp.getColumnExprMap().entrySet()) {
if (exprDesc.isSame(entry.getValue())) {
gbyKeys.add(entry.getKey());
}
}
}
List> listBucketCols = new ArrayList>();
listBucketCols.add(gbyKeys);
OpTraits opTraits = new OpTraits(listBucketCols, -1, listBucketCols);
gbyOp.setOpTraits(opTraits);
return null;
}
}
public static class SelectRule implements NodeProcessor {
public List> getConvertedColNames(
List> parentColNames, SelectOperator selOp) {
List> listBucketCols = new ArrayList>();
if (selOp.getColumnExprMap() != null) {
if (parentColNames != null) {
for (List colNames : parentColNames) {
List bucketColNames = new ArrayList();
for (String colName : colNames) {
for (Entry entry : selOp.getColumnExprMap().entrySet()) {
if (entry.getValue() instanceof ExprNodeColumnDesc) {
if (((ExprNodeColumnDesc) (entry.getValue())).getColumn().equals(colName)) {
bucketColNames.add(entry.getKey());
}
}
}
}
listBucketCols.add(bucketColNames);
}
}
}
return listBucketCols;
}
@Override
public Object process(Node nd, Stack stack, NodeProcessorCtx procCtx,
Object... nodeOutputs) throws SemanticException {
SelectOperator selOp = (SelectOperator) nd;
List> parentBucketColNames =
selOp.getParentOperators().get(0).getOpTraits().getBucketColNames();
List> listBucketCols = null;
List> listSortCols = null;
if (selOp.getColumnExprMap() != null) {
if (parentBucketColNames != null) {
listBucketCols = getConvertedColNames(parentBucketColNames, selOp);
}
List> parentSortColNames =
selOp.getParentOperators().get(0).getOpTraits().getSortCols();
if (parentSortColNames != null) {
listSortCols = getConvertedColNames(parentSortColNames, selOp);
}
}
int numBuckets = -1;
OpTraits parentOpTraits = selOp.getParentOperators().get(0).getOpTraits();
if (parentOpTraits != null) {
numBuckets = parentOpTraits.getNumBuckets();
}
OpTraits opTraits = new OpTraits(listBucketCols, numBuckets, listSortCols);
selOp.setOpTraits(opTraits);
return null;
}
}
public static class JoinRule implements NodeProcessor {
@Override
public Object process(Node nd, Stack stack, NodeProcessorCtx procCtx,
Object... nodeOutputs) throws SemanticException {
JoinOperator joinOp = (JoinOperator) nd;
List> bucketColsList = new ArrayList>();
List> sortColsList = new ArrayList>();
byte pos = 0;
int numReduceSinks = 0; // will be set to the larger of the parents
for (Operator parentOp : joinOp.getParentOperators()) {
if (!(parentOp instanceof ReduceSinkOperator)) {
// can be mux operator
break;
}
ReduceSinkOperator rsOp = (ReduceSinkOperator) parentOp;
if (rsOp.getOpTraits() == null) {
ReduceSinkRule rsRule = new ReduceSinkRule();
rsRule.process(rsOp, stack, procCtx, nodeOutputs);
}
OpTraits parentOpTraits = rsOp.getOpTraits();
bucketColsList.add(getOutputColNames(joinOp, parentOpTraits.getBucketColNames(), pos));
sortColsList.add(getOutputColNames(joinOp, parentOpTraits.getSortCols(), pos));
pos++;
}
joinOp.setOpTraits(new OpTraits(bucketColsList, -1, bucketColsList));
return null;
}
private List getOutputColNames(JoinOperator joinOp, List> parentColNames,
byte pos) {
if (parentColNames != null) {
List bucketColNames = new ArrayList();
// guaranteed that there is only 1 list within this list because
// a reduce sink always brings down the bucketing cols to a single list.
// may not be true with correlation operators (mux-demux)
List colNames = parentColNames.get(0);
for (String colName : colNames) {
for (ExprNodeDesc exprNode : joinOp.getConf().getExprs().get(pos)) {
if (exprNode instanceof ExprNodeColumnDesc) {
if (((ExprNodeColumnDesc) (exprNode)).getColumn().equals(colName)) {
for (Entry entry : joinOp.getColumnExprMap().entrySet()) {
if (entry.getValue().isSame(exprNode)) {
bucketColNames.add(entry.getKey());
// we have found the colName
break;
}
}
} else {
// continue on to the next exprNode to find a match
continue;
}
// we have found the colName. No need to search more exprNodes.
break;
}
}
}
return bucketColNames;
}
// no col names in parent
return null;
}
}
/*
* When we have operators that have multiple parents, it is not clear which
* parent's traits we need to propagate forward.
*/
public static class MultiParentRule implements NodeProcessor {
@Override
public Object process(Node nd, Stack stack, NodeProcessorCtx procCtx,
Object... nodeOutputs) throws SemanticException {
@SuppressWarnings("unchecked")
Operator operator = (Operator) nd;
OpTraits opTraits = new OpTraits(null, -1, null);
operator.setOpTraits(opTraits);
return null;
}
}
public static NodeProcessor getTableScanRule() {
return new TableScanRule();
}
public static NodeProcessor getReduceSinkRule() {
return new ReduceSinkRule();
}
public static NodeProcessor getSelectRule() {
return new SelectRule();
}
public static NodeProcessor getDefaultRule() {
return new DefaultRule();
}
public static NodeProcessor getMultiParentRule() {
return new MultiParentRule();
}
public static NodeProcessor getGroupByRule() {
return new GroupByRule();
}
public static NodeProcessor getJoinRule() {
return new JoinRule();
}
}
