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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.parse;
import java.util.ArrayList;
import java.util.LinkedHashMap;
import java.util.List;
import java.util.Map;
import java.util.Stack;
import com.facebook.presto.hive.$internal.org.slf4j.Logger;
import com.facebook.presto.hive.$internal.org.slf4j.LoggerFactory;
import org.apache.hadoop.hive.ql.exec.GroupByOperator;
import org.apache.hadoop.hive.ql.exec.JoinOperator;
import org.apache.hadoop.hive.ql.exec.MapJoinOperator;
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.DefaultGraphWalker;
import org.apache.hadoop.hive.ql.lib.DefaultRuleDispatcher;
import org.apache.hadoop.hive.ql.lib.Dispatcher;
import org.apache.hadoop.hive.ql.lib.GraphWalker;
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.lib.Rule;
import org.apache.hadoop.hive.ql.lib.RuleRegExp;
import org.apache.hadoop.hive.ql.metadata.Table;
import org.apache.hadoop.hive.ql.plan.ExprNodeColumnDesc;
import org.apache.hadoop.hive.ql.plan.ExprNodeConstantDesc;
import org.apache.hadoop.hive.ql.plan.ExprNodeDesc;
import org.apache.hadoop.hive.ql.plan.OperatorDesc;
import org.apache.hadoop.hive.ql.plan.SelectDesc;
/**
* TableAccessAnalyzer walks the operator graph from joins and group bys
* to the table scan operator backing it. It checks whether the operators
* in the path are pass-through of the base table (no aggregations/joins),
* and if the keys are mapped by expressions that do not modify the bucket
* for the key. If all the keys for a join/group by are clean pass-through
* of the base table columns, we can consider this operator as a candidate
* for improvement through bucketing.
*/
public class TableAccessAnalyzer {
private static final Logger LOG = LoggerFactory.getLogger(TableAccessAnalyzer.class.getName());
private final ParseContext pGraphContext;
public TableAccessAnalyzer() {
pGraphContext = null;
}
public TableAccessAnalyzer(ParseContext pactx) {
pGraphContext = pactx;
}
public TableAccessInfo analyzeTableAccess() throws SemanticException {
// Set up the rules for the graph walker for group by and join operators
Map opRules = new LinkedHashMap();
opRules.put(new RuleRegExp("R1", GroupByOperator.getOperatorName() + "%"),
new GroupByProcessor(pGraphContext));
opRules.put(new RuleRegExp("R2", JoinOperator.getOperatorName() + "%"),
new JoinProcessor(pGraphContext));
opRules.put(new RuleRegExp("R3", MapJoinOperator.getOperatorName() + "%"),
new JoinProcessor(pGraphContext));
TableAccessCtx tableAccessCtx = new TableAccessCtx();
Dispatcher disp = new DefaultRuleDispatcher(getDefaultProc(), opRules, tableAccessCtx);
GraphWalker ogw = new DefaultGraphWalker(disp);
// Create a list of topop nodes and walk!
List topNodes = new ArrayList();
topNodes.addAll(pGraphContext.getTopOps().values());
ogw.startWalking(topNodes, null);
return tableAccessCtx.getTableAccessInfo();
}
private NodeProcessor getDefaultProc() {
return new NodeProcessor() {
@Override
public Object process(Node nd, Stack stack,
NodeProcessorCtx procCtx, Object... nodeOutputs) throws SemanticException {
return null;
}
};
}
/**
* Processor for GroupBy operator
*/
public class GroupByProcessor implements NodeProcessor {
protected ParseContext pGraphContext;
public GroupByProcessor(ParseContext pGraphContext) {
this.pGraphContext = pGraphContext;
}
@Override
public Object process(Node nd, Stack stack, NodeProcessorCtx procCtx,
Object... nodeOutputs) {
GroupByOperator op = (GroupByOperator)nd;
TableAccessCtx tableAccessCtx = (TableAccessCtx)procCtx;
// Get the key column names, and check if the keys are all constants
// or columns (not expressions). If yes, proceed.
List keyColNames =
TableAccessAnalyzer.getKeyColNames(op.getConf().getKeys());
if (keyColNames == null) {
// we are done, since there are no keys to check for
return null;
}
// Walk the operator tree to the TableScan and build the mapping
// along the way for the columns that the group by uses as keys
TableScanOperator tso = TableAccessAnalyzer.genRootTableScan(
op.getParentOperators().get(0), keyColNames);
if (tso == null) {
// Could not find an allowed path to a table scan operator,
// hence we are done
return null;
}
// Must be deterministic order map for consistent q-test output across Java versions
Map> tableToKeysMap = new LinkedHashMap>();
Table tbl = tso.getConf().getTableMetadata();
tableToKeysMap.put(tbl.getCompleteName(), keyColNames);
tableAccessCtx.addOperatorTableAccess(op, tableToKeysMap);
return null;
}
}
/**
* Processor for Join operator.
*/
public class JoinProcessor implements NodeProcessor {
protected ParseContext pGraphContext;
public JoinProcessor(ParseContext pGraphContext) {
this.pGraphContext = pGraphContext;
}
@Override
public Object process(Node nd, Stack stack, NodeProcessorCtx procCtx,
Object... nodeOutputs) {
JoinOperator op = (JoinOperator)nd;
TableAccessCtx tableAccessCtx = (TableAccessCtx)procCtx;
// Must be deterministic order map for consistent q-test output across Java versions
Map> tableToKeysMap = new LinkedHashMap>();
List> parentOps = op.getParentOperators();
// Get the key column names for each side of the join,
// and check if the keys are all constants
// or columns (not expressions). If yes, proceed.
assert(parentOps.size() == op.getConf().getBaseSrc().length);
int pos = 0;
for (String src : op.getConf().getBaseSrc()) {
if (src != null) {
assert(parentOps.get(pos) instanceof ReduceSinkOperator);
ReduceSinkOperator reduceSinkOp = (ReduceSinkOperator) parentOps.get(pos);
// Get the key column names, and check if the keys are all constants
// or columns (not expressions). If yes, proceed.
List keyColNames =
TableAccessAnalyzer.getKeyColNames(reduceSinkOp.getConf().getKeyCols());
if (keyColNames == null) {
// we are done, since there are no keys to check for
return null;
}
// Walk the operator tree to the TableScan and build the mapping
// along the way for the columns that the group by uses as keys
TableScanOperator tso = TableAccessAnalyzer.genRootTableScan(
reduceSinkOp.getParentOperators().get(0), keyColNames);
if (tso == null) {
// Could not find an allowed path to a table scan operator,
// hence we are done
return null;
}
Table tbl = tso.getConf().getTableMetadata();
tableToKeysMap.put(tbl.getCompleteName(), keyColNames);
} else {
return null;
}
pos++;
}
// We only get here if we could map all join keys to source table columns
tableAccessCtx.addOperatorTableAccess(op, tableToKeysMap);
return null;
}
}
/**
* This method traces up from the given operator to the root
* of the operator graph until a TableScanOperator is reached.
* Along the way, if any operators are present that do not
* provide a direct mapping from columns of the base table to
* the keys on the input operator, the trace-back is stopped at that
* point. If the trace back can be done successfully, the method
* returns the root TableScanOperator as well as the list of column
* names on that table that map to the keys used for the input
* operator (which is currently only a join or group by).
*/
public static TableScanOperator genRootTableScan(
Operator op, List keyNames) {
Operator currOp = op;
List currColNames = keyNames;
List> parentOps = null;
// Track as you walk up the tree if there is an operator
// along the way that changes the rows from the table through
// joins or aggregations. Only allowed operators are selects
// and filters.
while (true) {
parentOps = currOp.getParentOperators();
if ((parentOps == null) || (parentOps.isEmpty())) {
return (TableScanOperator) currOp;
}
if (parentOps.size() > 1 ||
!(currOp.columnNamesRowResolvedCanBeObtained())) {
return null;
} else {
// Generate the map of the input->output column name for the keys
// we are about
if (!TableAccessAnalyzer.genColNameMap(currOp, currColNames)) {
return null;
}
currOp = parentOps.get(0);
}
}
}
/*
* This method takes in an input operator and a subset of its output
* column names, and generates the input column names for the operator
* corresponding to those outputs. If the mapping from the input column
* name to the output column name is not simple, the method returns
* false, else it returns true. The list of output column names is
* modified by this method to be the list of corresponding input column
* names.
*/
private static boolean genColNameMap(
Operator op, List currColNames) {
List colList = null;
List outputColNames = null;
assert(op.columnNamesRowResolvedCanBeObtained());
// Only select operators among the allowed operators can cause changes in the
// column names
if (op instanceof SelectOperator) {
SelectDesc selectDesc = ((SelectOperator)op).getConf();
if (!selectDesc.isSelStarNoCompute()) {
colList = selectDesc.getColList();
outputColNames = selectDesc.getOutputColumnNames();
// Only columns and constants can be selected
for (int pos = 0; pos < colList.size(); pos++) {
ExprNodeDesc colExpr = colList.get(pos);
String outputColName = outputColNames.get(pos);
// If it is not a column we need for the keys, move on
if (!currColNames.contains(outputColName)) {
continue;
}
if (colExpr instanceof ExprNodeConstantDesc) {
currColNames.remove(outputColName);
continue;
} else if (colExpr instanceof ExprNodeColumnDesc) {
String inputColName = ((ExprNodeColumnDesc) colExpr).getColumn();
if (!outputColName.equals(inputColName)) {
currColNames.set(currColNames.indexOf(outputColName), inputColName);
}
} else {
// the column map can not be generated
return false;
}
}
}
}
return true;
}
private static List getKeyColNames(List keys) {
List colList = new ArrayList();
for (ExprNodeDesc expr: keys) {
if (expr instanceof ExprNodeColumnDesc) {
ExprNodeColumnDesc colExpr = (ExprNodeColumnDesc)expr;
colList.add(colExpr.getColumn());
} else if (expr instanceof ExprNodeConstantDesc) {
continue;
} else {
return null;
}
}
return colList;
}
}
