org.apache.hadoop.hive.ql.parse.ProcessAnalyzeTable Maven / Gradle / Ivy
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package org.apache.hadoop.hive.ql.parse;
import java.util.List;
import java.util.Set;
import java.util.Stack;
import org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat;
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.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.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.plan.StatsWork;
import org.apache.hadoop.hive.ql.plan.MapWork;
import org.apache.hadoop.hive.ql.plan.BasicStatsWork;
import org.apache.hadoop.hive.ql.plan.TezWork;
import org.apache.hadoop.mapred.InputFormat;
/**
* ProcessAnalyzeTable sets up work for the several variants of analyze table
* (normal, no scan.) The plan at this point will be a single
* table scan operator.
*/
public class ProcessAnalyzeTable implements NodeProcessor {
private static final Logger LOG = LoggerFactory.getLogger(ProcessAnalyzeTable.class.getName());
// shared plan utils for tez
private GenTezUtils utils = null;
/**
* Injecting the utils in the constructor facilitates testing
*/
public ProcessAnalyzeTable(GenTezUtils utils) {
this.utils = utils;
}
@SuppressWarnings("unchecked")
@Override
public Object process(Node nd, Stack stack, NodeProcessorCtx procContext,
Object... nodeOutputs) throws SemanticException {
GenTezProcContext context = (GenTezProcContext) procContext;
TableScanOperator tableScan = (TableScanOperator) nd;
ParseContext parseContext = context.parseContext;
Table table = tableScan.getConf().getTableMetadata();
Class extends InputFormat> inputFormat = table.getInputFormatClass();
if (parseContext.getQueryProperties().isAnalyzeCommand()) {
assert tableScan.getChildOperators() == null || tableScan.getChildOperators().size() == 0;
String alias = null;
for (String a : parseContext.getTopOps().keySet()) {
if (tableScan == parseContext.getTopOps().get(a)) {
alias = a;
}
}
assert alias != null;
TezWork tezWork = context.currentTask.getWork();
if (OrcInputFormat.class.isAssignableFrom(inputFormat) ||
MapredParquetInputFormat.class.isAssignableFrom(inputFormat)) {
// For ORC & Parquet, all the following statements are the same
// ANALYZE TABLE T [PARTITION (...)] COMPUTE STATISTICS
// ANALYZE TABLE T [PARTITION (...)] COMPUTE STATISTICS noscan;
// There will not be any Tez job above this task
StatsWork statWork = new StatsWork(table, parseContext.getConf());
statWork.setFooterScan();
// If partition is specified, get pruned partition list
Set confirmedParts = GenMapRedUtils.getConfirmedPartitionsForScan(tableScan);
if (confirmedParts.size() > 0) {
List partCols = GenMapRedUtils.getPartitionColumns(tableScan);
PrunedPartitionList partList = new PrunedPartitionList(table, confirmedParts, partCols, false);
statWork.addInputPartitions(partList.getPartitions());
}
Task snjTask = TaskFactory.get(statWork);
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 TezTask followed by a StatsTask.
// The Tez task is just a simple TableScanOperator
BasicStatsWork basicStatsWork = new BasicStatsWork(table.getTableSpec());
basicStatsWork.setIsExplicitAnalyze(true);
basicStatsWork.setNoScanAnalyzeCommand(parseContext.getQueryProperties().isNoScanAnalyzeCommand());
StatsWork columnStatsWork = new StatsWork(table, basicStatsWork, parseContext.getConf());
columnStatsWork.collectStatsFromAggregator(tableScan.getConf());
columnStatsWork.setSourceTask(context.currentTask);
Task statsTask = TaskFactory.get(columnStatsWork);
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);
context.rootTasks.remove(context.currentTask);
context.rootTasks.add(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) {
List partCols = GenMapRedUtils.getPartitionColumns(tableScan);
partitions = new PrunedPartitionList(table, confirmedPartns, partCols, false);
}
MapWork w = utils.createMapWork(context, tableScan, tezWork, partitions);
w.setGatheringStats(true);
return true;
}
}
return null;
}
}