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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.spark;
import java.util.List;
import java.util.Set;
import java.util.Stack;
import org.apache.commons.logging.Log;
import org.apache.commons.logging.LogFactory;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.hive.conf.HiveConf;
import org.apache.hadoop.hive.ql.DriverContext;
import org.apache.hadoop.hive.ql.exec.TableScanOperator;
import org.apache.hadoop.hive.ql.exec.Task;
import org.apache.hadoop.hive.ql.exec.TaskFactory;
import org.apache.hadoop.hive.ql.io.orc.OrcInputFormat;
import org.apache.hadoop.hive.ql.io.rcfile.stats.PartialScanWork;
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.Partition;
import org.apache.hadoop.hive.ql.metadata.Table;
import org.apache.hadoop.hive.ql.optimizer.GenMapRedUtils;
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.MapWork;
import org.apache.hadoop.hive.ql.plan.SparkWork;
import org.apache.hadoop.hive.ql.plan.StatsNoJobWork;
import org.apache.hadoop.hive.ql.plan.StatsWork;
import org.apache.hadoop.mapred.InputFormat;
import com.google.common.base.Preconditions;
/**
* ProcessAnalyzeTable sets up work for the several variants of analyze table
* (normal, no scan, partial scan.) The plan at this point will be a single
* table scan operator.
*
* Cloned from Tez ProcessAnalyzeTable.
*/
public class SparkProcessAnalyzeTable implements NodeProcessor {
private static final Log LOGGER = LogFactory.getLog(SparkProcessAnalyzeTable.class.getName());
// shared plan utils for spark
private GenSparkUtils utils = null;
/**
* Injecting the utils in the constructor facilitates testing.
*/
public SparkProcessAnalyzeTable(GenSparkUtils utils) {
this.utils = utils;
}
@SuppressWarnings("unchecked")
@Override
public Object process(Node nd, Stack stack,
NodeProcessorCtx procContext, Object... nodeOutputs) throws SemanticException {
GenSparkProcContext context = (GenSparkProcContext) procContext;
TableScanOperator tableScan = (TableScanOperator) nd;
ParseContext parseContext = context.parseContext;
@SuppressWarnings("rawtypes")
Class inputFormat = tableScan.getConf().getTableMetadata()
.getInputFormatClass();
if (parseContext.getQueryProperties().isAnalyzeCommand()) {
Preconditions.checkArgument(tableScan.getChildOperators() == null
|| tableScan.getChildOperators().size() == 0,
"AssertionError: expected tableScan.getChildOperators() to be null, "
+ "or tableScan.getChildOperators().size() to be 0");
String alias = null;
for (String a: parseContext.getTopOps().keySet()) {
if (tableScan == parseContext.getTopOps().get(a)) {
alias = a;
}
}
Preconditions.checkArgument(alias != null, "AssertionError: expected alias to be not null");
SparkWork sparkWork = context.currentTask.getWork();
boolean partialScan = parseContext.getQueryProperties().isPartialScanAnalyzeCommand();
boolean noScan = parseContext.getQueryProperties().isNoScanAnalyzeCommand();
if (inputFormat.equals(OrcInputFormat.class) && (noScan || partialScan)) {
// ANALYZE TABLE T [PARTITION (...)] COMPUTE STATISTICS partialscan;
// ANALYZE TABLE T [PARTITION (...)] COMPUTE STATISTICS noscan;
// There will not be any Spark job above this task
StatsNoJobWork snjWork = new StatsNoJobWork(tableScan.getConf().getTableMetadata().getTableSpec());
snjWork.setStatsReliable(parseContext.getConf().getBoolVar(
HiveConf.ConfVars.HIVE_STATS_RELIABLE));
Task snjTask = TaskFactory.get(snjWork, parseContext.getConf());
snjTask.setParentTasks(null);
context.rootTasks.remove(context.currentTask);
context.rootTasks.add(snjTask);
return true;
} else {
// ANALYZE TABLE T [PARTITION (...)] COMPUTE STATISTICS;
// The plan consists of a simple SparkTask followed by a StatsTask.
// The Spark task is just a simple TableScanOperator
StatsWork statsWork = new StatsWork(tableScan.getConf().getTableMetadata().getTableSpec());
statsWork.setAggKey(tableScan.getConf().getStatsAggPrefix());
statsWork.setSourceTask(context.currentTask);
statsWork.setStatsReliable(parseContext.getConf().getBoolVar(HiveConf.ConfVars.HIVE_STATS_RELIABLE));
Task statsTask = TaskFactory.get(statsWork, parseContext.getConf());
context.currentTask.addDependentTask(statsTask);
// ANALYZE TABLE T [PARTITION (...)] COMPUTE STATISTICS noscan;
// The plan consists of a StatsTask only.
if (parseContext.getQueryProperties().isNoScanAnalyzeCommand()) {
statsTask.setParentTasks(null);
statsWork.setNoScanAnalyzeCommand(true);
context.rootTasks.remove(context.currentTask);
context.rootTasks.add(statsTask);
}
// ANALYZE TABLE T [PARTITION (...)] COMPUTE STATISTICS partialscan;
if (parseContext.getQueryProperties().isPartialScanAnalyzeCommand()) {
handlePartialScanCommand(tableScan, parseContext, statsWork, context, statsTask);
}
// NOTE: here we should use the new partition predicate pushdown API to get a list of pruned list,
// and pass it to setTaskPlan as the last parameter
Set confirmedPartns = GenMapRedUtils.getConfirmedPartitionsForScan(tableScan);
PrunedPartitionList partitions = null;
if (confirmedPartns.size() > 0) {
Table source = tableScan.getConf().getTableMetadata();
List partCols = GenMapRedUtils.getPartitionColumns(tableScan);
partitions = new PrunedPartitionList(source, confirmedPartns, partCols, false);
}
MapWork w = utils.createMapWork(context, tableScan, sparkWork, partitions);
w.setGatheringStats(true);
return true;
}
}
return null;
}
/**
* handle partial scan command.
*
* It is composed of PartialScanTask followed by StatsTask.
*/
private void handlePartialScanCommand(TableScanOperator tableScan, ParseContext parseContext,
StatsWork statsWork, GenSparkProcContext context, Task statsTask)
throws SemanticException {
String aggregationKey = tableScan.getConf().getStatsAggPrefix();
StringBuffer aggregationKeyBuffer = new StringBuffer(aggregationKey);
List inputPaths = GenMapRedUtils.getInputPathsForPartialScan(tableScan, aggregationKeyBuffer);
aggregationKey = aggregationKeyBuffer.toString();
// scan work
PartialScanWork scanWork = new PartialScanWork(inputPaths);
scanWork.setMapperCannotSpanPartns(true);
scanWork.setAggKey(aggregationKey);
// stats work
statsWork.setPartialScanAnalyzeCommand(true);
// partial scan task
DriverContext driverCxt = new DriverContext();
@SuppressWarnings("unchecked")
Task partialScanTask = TaskFactory.get(scanWork, parseContext.getConf());
partialScanTask.initialize(parseContext.getConf(), null, driverCxt);
partialScanTask.setWork(scanWork);
statsWork.setSourceTask(partialScanTask);
// task dependency
context.rootTasks.remove(context.currentTask);
context.rootTasks.add(partialScanTask);
partialScanTask.addDependentTask(statsTask);
}
}
