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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 com.google.common.collect.Interner;
import com.google.common.collect.Interners;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.hive.common.HiveStatsUtils;
import org.apache.hadoop.hive.conf.HiveConf;
import org.apache.hadoop.hive.metastore.Warehouse;
import org.apache.hadoop.hive.metastore.api.MetaException;
import org.apache.hadoop.hive.ql.Context;
import org.apache.hadoop.hive.ql.ErrorMsg;
import org.apache.hadoop.hive.ql.QueryState;
import org.apache.hadoop.hive.ql.exec.DDLTask;
import org.apache.hadoop.hive.ql.exec.FetchTask;
import org.apache.hadoop.hive.ql.exec.MaterializedViewDesc;
import org.apache.hadoop.hive.ql.exec.StatsTask;
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.exec.Utilities;
import org.apache.hadoop.hive.ql.hooks.ReadEntity;
import org.apache.hadoop.hive.ql.hooks.WriteEntity;
import org.apache.hadoop.hive.ql.io.AcidUtils;
import org.apache.hadoop.hive.ql.io.orc.OrcInputFormat;
import org.apache.hadoop.hive.ql.metadata.Hive;
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.GenMapRedUtils;
import org.apache.hadoop.hive.ql.parse.BaseSemanticAnalyzer.AnalyzeRewriteContext;
import org.apache.hadoop.hive.ql.parse.BaseSemanticAnalyzer.TableSpec;
import org.apache.hadoop.hive.ql.plan.BasicStatsWork;
import org.apache.hadoop.hive.ql.plan.ColumnStatsDesc;
import org.apache.hadoop.hive.ql.plan.CreateTableDesc;
import org.apache.hadoop.hive.ql.plan.CreateViewDesc;
import org.apache.hadoop.hive.ql.plan.DDLWork;
import org.apache.hadoop.hive.ql.plan.FetchWork;
import org.apache.hadoop.hive.ql.plan.FileSinkDesc;
import org.apache.hadoop.hive.ql.plan.LoadFileDesc;
import org.apache.hadoop.hive.ql.plan.LoadTableDesc;
import org.apache.hadoop.hive.ql.plan.MoveWork;
import org.apache.hadoop.hive.ql.plan.PlanUtils;
import org.apache.hadoop.hive.ql.plan.StatsWork;
import org.apache.hadoop.hive.ql.plan.TableDesc;
import org.apache.hadoop.hive.ql.session.SessionState;
import org.apache.hadoop.hive.ql.session.SessionState.LogHelper;
import org.apache.hadoop.hive.serde.serdeConstants;
import org.apache.hadoop.hive.serde2.DefaultFetchFormatter;
import org.apache.hadoop.hive.serde2.NoOpFetchFormatter;
import org.apache.hadoop.hive.serde2.SerDeUtils;
import org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe;
import org.apache.hadoop.hive.serde2.thrift.ThriftFormatter;
import org.apache.hadoop.hive.serde2.thrift.ThriftJDBCBinarySerDe;
import org.apache.hadoop.mapred.InputFormat;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import java.io.Serializable;
import java.util.ArrayList;
import java.util.HashSet;
import java.util.Iterator;
import java.util.LinkedHashMap;
import java.util.LinkedHashSet;
import java.util.List;
import java.util.Map;
import java.util.Set;
/**
* TaskCompiler is a the base class for classes that compile
* operator pipelines into tasks.
*/
public abstract class TaskCompiler {
protected final Logger LOG = LoggerFactory.getLogger(TaskCompiler.class);
// Assumes one instance of this + single-threaded compilation for each query.
protected Hive db;
protected LogHelper console;
protected QueryState queryState;
protected HiveConf conf;
public void init(QueryState queryState, LogHelper console, Hive db) {
this.queryState = queryState;
this.conf = queryState.getConf();
this.db = db;
this.console = console;
}
@SuppressWarnings({"nls", "unchecked"})
public void compile(final ParseContext pCtx,
final List> rootTasks,
final HashSet inputs, final HashSet outputs) throws SemanticException {
Context ctx = pCtx.getContext();
GlobalLimitCtx globalLimitCtx = pCtx.getGlobalLimitCtx();
List> mvTask = new ArrayList<>();
List loadTableWork = pCtx.getLoadTableWork();
List loadFileWork = pCtx.getLoadFileWork();
boolean isCStats = pCtx.getQueryProperties().isAnalyzeRewrite();
int outerQueryLimit = pCtx.getQueryProperties().getOuterQueryLimit();
if (pCtx.getFetchTask() != null) {
if (pCtx.getFetchTask().getTblDesc() == null) {
return;
}
pCtx.getFetchTask().getWork().setHiveServerQuery(SessionState.get().isHiveServerQuery());
TableDesc resultTab = pCtx.getFetchTask().getTblDesc();
// If the serializer is ThriftJDBCBinarySerDe, then it requires that NoOpFetchFormatter be used. But when it isn't,
// then either the ThriftFormatter or the DefaultFetchFormatter should be used.
if (!resultTab.getSerdeClassName().equalsIgnoreCase(ThriftJDBCBinarySerDe.class.getName())) {
if (SessionState.get().isHiveServerQuery()) {
conf.set(SerDeUtils.LIST_SINK_OUTPUT_FORMATTER,ThriftFormatter.class.getName());
} else {
String formatterName = conf.get(SerDeUtils.LIST_SINK_OUTPUT_FORMATTER);
if (formatterName == null || formatterName.isEmpty()) {
conf.set(SerDeUtils.LIST_SINK_OUTPUT_FORMATTER, DefaultFetchFormatter.class.getName());
}
}
}
return;
}
optimizeOperatorPlan(pCtx, inputs, outputs);
/*
* In case of a select, use a fetch task instead of a move task.
* If the select is from analyze table column rewrite, don't create a fetch task. Instead create
* a column stats task later.
*/
if (pCtx.getQueryProperties().isQuery() && !isCStats) {
if ((!loadTableWork.isEmpty()) || (loadFileWork.size() != 1)) {
throw new SemanticException(ErrorMsg.INVALID_LOAD_TABLE_FILE_WORK.getMsg());
}
LoadFileDesc loadFileDesc = loadFileWork.get(0);
String cols = loadFileDesc.getColumns();
String colTypes = loadFileDesc.getColumnTypes();
String resFileFormat;
TableDesc resultTab = pCtx.getFetchTableDesc();
if (resultTab == null) {
resFileFormat = HiveConf.getVar(conf, HiveConf.ConfVars.HIVEQUERYRESULTFILEFORMAT);
if (SessionState.get().getIsUsingThriftJDBCBinarySerDe()
&& (resFileFormat.equalsIgnoreCase("SequenceFile"))) {
resultTab =
PlanUtils.getDefaultQueryOutputTableDesc(cols, colTypes, resFileFormat,
ThriftJDBCBinarySerDe.class);
// Set the fetch formatter to be a no-op for the ListSinkOperator, since we'll
// read formatted thrift objects from the output SequenceFile written by Tasks.
conf.set(SerDeUtils.LIST_SINK_OUTPUT_FORMATTER, NoOpFetchFormatter.class.getName());
} else {
resultTab =
PlanUtils.getDefaultQueryOutputTableDesc(cols, colTypes, resFileFormat,
LazySimpleSerDe.class);
}
} else {
if (resultTab.getProperties().getProperty(serdeConstants.SERIALIZATION_LIB)
.equalsIgnoreCase(ThriftJDBCBinarySerDe.class.getName())) {
// Set the fetch formatter to be a no-op for the ListSinkOperator, since we'll
// read formatted thrift objects from the output SequenceFile written by Tasks.
conf.set(SerDeUtils.LIST_SINK_OUTPUT_FORMATTER, NoOpFetchFormatter.class.getName());
}
}
FetchWork fetch = new FetchWork(loadFileDesc.getSourcePath(), resultTab, outerQueryLimit);
boolean isHiveServerQuery = SessionState.get().isHiveServerQuery();
fetch.setHiveServerQuery(isHiveServerQuery);
fetch.setSource(pCtx.getFetchSource());
fetch.setSink(pCtx.getFetchSink());
if (isHiveServerQuery &&
null != resultTab &&
resultTab.getSerdeClassName().equalsIgnoreCase(ThriftJDBCBinarySerDe.class.getName()) &&
HiveConf.getBoolVar(conf, HiveConf.ConfVars.HIVE_SERVER2_THRIFT_RESULTSET_SERIALIZE_IN_TASKS)) {
fetch.setIsUsingThriftJDBCBinarySerDe(true);
} else {
fetch.setIsUsingThriftJDBCBinarySerDe(false);
}
pCtx.setFetchTask((FetchTask) TaskFactory.get(fetch));
// For the FetchTask, the limit optimization requires we fetch all the rows
// in memory and count how many rows we get. It's not practical if the
// limit factor is too big
int fetchLimit = HiveConf.getIntVar(conf, HiveConf.ConfVars.HIVELIMITOPTMAXFETCH);
if (globalLimitCtx.isEnable() && globalLimitCtx.getGlobalLimit() > fetchLimit) {
LOG.info("For FetchTask, LIMIT " + globalLimitCtx.getGlobalLimit() + " > " + fetchLimit
+ ". Doesn't qualify limit optimization.");
globalLimitCtx.disableOpt();
}
if (outerQueryLimit == 0) {
// Believe it or not, some tools do generate queries with limit 0 and than expect
// query to run quickly. Lets meet their requirement.
LOG.info("Limit 0. No query execution needed.");
return;
}
} else if (!isCStats) {
for (LoadTableDesc ltd : loadTableWork) {
Task tsk = TaskFactory
.get(new MoveWork(null, null, ltd, null, false));
mvTask.add(tsk);
}
boolean oneLoadFileForCtas = true;
for (LoadFileDesc lfd : loadFileWork) {
if (pCtx.getQueryProperties().isCTAS() || pCtx.getQueryProperties().isMaterializedView()) {
if (!oneLoadFileForCtas) { // should not have more than 1 load file for CTAS.
throw new SemanticException(
"One query is not expected to contain multiple CTAS loads statements");
}
setLoadFileLocation(pCtx, lfd);
oneLoadFileForCtas = false;
}
mvTask.add(TaskFactory
.get(new MoveWork(null, null, null, lfd, false)));
}
}
generateTaskTree(rootTasks, pCtx, mvTask, inputs, outputs);
// For each task, set the key descriptor for the reducer
for (Task rootTask : rootTasks) {
GenMapRedUtils.setKeyAndValueDescForTaskTree(rootTask);
}
// If a task contains an operator which instructs bucketizedhiveinputformat
// to be used, please do so
for (Task rootTask : rootTasks) {
setInputFormat(rootTask);
}
optimizeTaskPlan(rootTasks, pCtx, ctx);
/*
* If the query was the result of analyze table column compute statistics rewrite, create
* a column stats task instead of a fetch task to persist stats to the metastore.
* As per HIVE-15903, we will also collect table stats when user computes column stats.
* That means, if isCStats || !pCtx.getColumnStatsAutoGatherContexts().isEmpty()
* We need to collect table stats
* if isCStats, we need to include a basic stats task
* else it is ColumnStatsAutoGather, which should have a move task with a stats task already.
*/
if (isCStats || !pCtx.getColumnStatsAutoGatherContexts().isEmpty()) {
// map from tablename to task (ColumnStatsTask which includes a BasicStatsTask)
Map map = new LinkedHashMap<>();
if (isCStats) {
if (rootTasks == null || rootTasks.size() != 1 || pCtx.getTopOps() == null
|| pCtx.getTopOps().size() != 1) {
throw new SemanticException("Can not find correct root task!");
}
try {
Task root = rootTasks.iterator().next();
StatsTask tsk = (StatsTask) genTableStats(pCtx, pCtx.getTopOps().values()
.iterator().next(), root, outputs);
root.addDependentTask(tsk);
map.put(extractTableFullName(tsk), tsk);
} catch (HiveException e) {
throw new SemanticException(e);
}
genColumnStatsTask(pCtx.getAnalyzeRewrite(), loadFileWork, map, outerQueryLimit, 0);
} else {
Set> leafTasks = new LinkedHashSet>();
getLeafTasks(rootTasks, leafTasks);
List> nonStatsLeafTasks = new ArrayList<>();
for (Task tsk : leafTasks) {
// map table name to the correct ColumnStatsTask
if (tsk instanceof StatsTask) {
map.put(extractTableFullName((StatsTask) tsk), (StatsTask) tsk);
} else {
nonStatsLeafTasks.add(tsk);
}
}
// add cStatsTask as a dependent of all the nonStatsLeafTasks
for (Task tsk : nonStatsLeafTasks) {
for (Task cStatsTask : map.values()) {
tsk.addDependentTask(cStatsTask);
}
}
for (ColumnStatsAutoGatherContext columnStatsAutoGatherContext : pCtx
.getColumnStatsAutoGatherContexts()) {
if (!columnStatsAutoGatherContext.isInsertInto()) {
genColumnStatsTask(columnStatsAutoGatherContext.getAnalyzeRewrite(),
columnStatsAutoGatherContext.getLoadFileWork(), map, outerQueryLimit, 0);
} else {
int numBitVector;
try {
numBitVector = HiveStatsUtils.getNumBitVectorsForNDVEstimation(conf);
} catch (Exception e) {
throw new SemanticException(e.getMessage());
}
genColumnStatsTask(columnStatsAutoGatherContext.getAnalyzeRewrite(),
columnStatsAutoGatherContext.getLoadFileWork(), map, outerQueryLimit, numBitVector);
}
}
}
}
decideExecMode(rootTasks, ctx, globalLimitCtx);
if (pCtx.getQueryProperties().isCTAS() && !pCtx.getCreateTable().isMaterialization()) {
// generate a DDL task and make it a dependent task of the leaf
CreateTableDesc crtTblDesc = pCtx.getCreateTable();
crtTblDesc.validate(conf);
Task crtTblTask = TaskFactory.get(new DDLWork(
inputs, outputs, crtTblDesc));
patchUpAfterCTASorMaterializedView(rootTasks, outputs, crtTblTask);
} else if (pCtx.getQueryProperties().isMaterializedView()) {
// generate a DDL task and make it a dependent task of the leaf
CreateViewDesc viewDesc = pCtx.getCreateViewDesc();
Task crtViewTask = TaskFactory.get(new DDLWork(
inputs, outputs, viewDesc));
patchUpAfterCTASorMaterializedView(rootTasks, outputs, crtViewTask);
} else if (pCtx.getMaterializedViewUpdateDesc() != null) {
// If there is a materialized view update desc, we create introduce it at the end
// of the tree.
MaterializedViewDesc materializedViewDesc = pCtx.getMaterializedViewUpdateDesc();
Set> leafTasks = new LinkedHashSet>();
getLeafTasks(rootTasks, leafTasks);
Task materializedViewTask = TaskFactory.get(materializedViewDesc, conf);
for (Task task : leafTasks) {
task.addDependentTask(materializedViewTask);
}
}
if (globalLimitCtx.isEnable() && pCtx.getFetchTask() != null) {
LOG.info("set least row check for FetchTask: " + globalLimitCtx.getGlobalLimit());
pCtx.getFetchTask().getWork().setLeastNumRows(globalLimitCtx.getGlobalLimit());
}
if (globalLimitCtx.isEnable() && globalLimitCtx.getLastReduceLimitDesc() != null) {
LOG.info("set least row check for LimitDesc: " + globalLimitCtx.getGlobalLimit());
globalLimitCtx.getLastReduceLimitDesc().setLeastRows(globalLimitCtx.getGlobalLimit());
}
Interner interner = Interners.newStrongInterner();
for (Task rootTask : rootTasks) {
GenMapRedUtils.internTableDesc(rootTask, interner);
GenMapRedUtils.deriveFinalExplainAttributes(rootTask, pCtx.getConf());
}
}
private String extractTableFullName(StatsTask tsk) throws SemanticException {
return tsk.getWork().getFullTableName();
}
private Task genTableStats(ParseContext parseContext, TableScanOperator tableScan, Task currentTask, final HashSet outputs)
throws HiveException {
Class inputFormat = tableScan.getConf().getTableMetadata()
.getInputFormatClass();
Table table = tableScan.getConf().getTableMetadata();
List partitions = new ArrayList<>();
if (table.isPartitioned()) {
partitions.addAll(parseContext.getPrunedPartitions(tableScan).getPartitions());
for (Partition partn : partitions) {
LOG.trace("adding part: " + partn);
outputs.add(new WriteEntity(partn, WriteEntity.WriteType.DDL_NO_LOCK));
}
}
TableSpec tableSpec = new TableSpec(table, partitions);
tableScan.getConf().getTableMetadata().setTableSpec(tableSpec);
if (inputFormat.equals(OrcInputFormat.class)) {
// For ORC, there is no Tez Job for table stats.
StatsWork columnStatsWork = new StatsWork(table, parseContext.getConf());
columnStatsWork.setFooterScan();
// If partition is specified, get pruned partition list
if (partitions.size() > 0) {
columnStatsWork.addInputPartitions(parseContext.getPrunedPartitions(tableScan).getPartitions());
}
return TaskFactory.get(columnStatsWork);
} else {
BasicStatsWork statsWork = new BasicStatsWork(tableScan.getConf().getTableMetadata().getTableSpec());
statsWork.setIsExplicitAnalyze(true);
StatsWork columnStatsWork = new StatsWork(table, statsWork, parseContext.getConf());
columnStatsWork.collectStatsFromAggregator(tableScan.getConf());
columnStatsWork.setSourceTask(currentTask);
return TaskFactory.get(columnStatsWork);
}
}
private void setLoadFileLocation(
final ParseContext pCtx, LoadFileDesc lfd) throws SemanticException {
// CTAS; make the movetask's destination directory the table's destination.
Long txnIdForCtas = null;
int stmtId = 0; // CTAS cannot be part of multi-txn stmt
FileSinkDesc dataSinkForCtas = null;
String loc = null;
if (pCtx.getQueryProperties().isCTAS()) {
CreateTableDesc ctd = pCtx.getCreateTable();
dataSinkForCtas = ctd.getAndUnsetWriter();
txnIdForCtas = ctd.getInitialMmWriteId();
loc = ctd.getLocation();
} else {
loc = pCtx.getCreateViewDesc().getLocation();
}
Path location = (loc == null) ? getDefaultCtasLocation(pCtx) : new Path(loc);
if (txnIdForCtas != null) {
dataSinkForCtas.setDirName(location);
location = new Path(location, AcidUtils.deltaSubdir(txnIdForCtas, txnIdForCtas, stmtId));
lfd.setSourcePath(location);
if (Utilities.FILE_OP_LOGGER.isTraceEnabled()) {
Utilities.FILE_OP_LOGGER.trace("Setting MM CTAS to " + location);
}
}
if (Utilities.FILE_OP_LOGGER.isTraceEnabled()) {
Utilities.FILE_OP_LOGGER.trace("Location for LFD is being set to "
+ location + "; moving from " + lfd.getSourcePath());
}
lfd.setTargetDir(location);
}
private Path getDefaultCtasLocation(final ParseContext pCtx) throws SemanticException {
try {
String protoName = null;
if (pCtx.getQueryProperties().isCTAS()) {
protoName = pCtx.getCreateTable().getTableName();
} else if (pCtx.getQueryProperties().isMaterializedView()) {
protoName = pCtx.getCreateViewDesc().getViewName();
}
String[] names = Utilities.getDbTableName(protoName);
if (!db.databaseExists(names[0])) {
throw new SemanticException("ERROR: The database " + names[0] + " does not exist.");
}
Warehouse wh = new Warehouse(conf);
return wh.getDefaultTablePath(db.getDatabase(names[0]), names[1]);
} catch (HiveException e) {
throw new SemanticException(e);
} catch (MetaException e) {
throw new SemanticException(e);
}
}
private void patchUpAfterCTASorMaterializedView(final List> rootTasks,
final HashSet outputs,
Task createTask) {
// clear the mapredWork output file from outputs for CTAS
// DDLWork at the tail of the chain will have the output
Iterator outIter = outputs.iterator();
while (outIter.hasNext()) {
switch (outIter.next().getType()) {
case DFS_DIR:
case LOCAL_DIR:
outIter.remove();
break;
default:
break;
}
}
// find all leaf tasks and make the DDLTask as a dependent task on all of them
HashSet> leaves = new LinkedHashSet<>();
getLeafTasks(rootTasks, leaves);
assert (leaves.size() > 0);
Task targetTask = createTask;
for (Task task : leaves) {
if (task instanceof StatsTask) {
// StatsTask require table to already exist
for (Task parentOfStatsTask : task.getParentTasks()) {
parentOfStatsTask.addDependentTask(createTask);
}
for (Task parentOfCrtTblTask : createTask.getParentTasks()) {
parentOfCrtTblTask.removeDependentTask(task);
}
createTask.addDependentTask(task);
targetTask = task;
} else {
task.addDependentTask(createTask);
}
}
// Add task to insert / delete materialized view from registry if needed
if (createTask instanceof DDLTask) {
DDLTask ddlTask = (DDLTask) createTask;
DDLWork work = ddlTask.getWork();
String tableName = null;
boolean retrieveAndInclude = false;
boolean disableRewrite = false;
if (work.getCreateViewDesc() != null && work.getCreateViewDesc().isMaterialized()) {
tableName = work.getCreateViewDesc().getViewName();
retrieveAndInclude = work.getCreateViewDesc().isRewriteEnabled();
} else if (work.getAlterMaterializedViewDesc() != null) {
tableName = work.getAlterMaterializedViewDesc().getMaterializedViewName();
if (work.getAlterMaterializedViewDesc().isRewriteEnable()) {
retrieveAndInclude = true;
} else {
disableRewrite = true;
}
} else {
return;
}
targetTask.addDependentTask(
TaskFactory.get(
new MaterializedViewDesc(tableName, retrieveAndInclude, disableRewrite, false), conf));
}
}
/**
* A helper function to generate a column stats task on top of map-red task. The column stats
* task fetches from the output of the map-red task, constructs the column stats object and
* persists it to the metastore.
*
* This method generates a plan with a column stats task on top of map-red task and sets up the
* appropriate metadata to be used during execution.
*
*/
@SuppressWarnings("unchecked")
protected void genColumnStatsTask(AnalyzeRewriteContext analyzeRewrite,
List loadFileWork, Map map,
int outerQueryLimit, int numBitVector) throws SemanticException {
FetchWork fetch;
String tableName = analyzeRewrite.getTableName();
List colName = analyzeRewrite.getColName();
List colType = analyzeRewrite.getColType();
boolean isTblLevel = analyzeRewrite.isTblLvl();
String cols = loadFileWork.get(0).getColumns();
String colTypes = loadFileWork.get(0).getColumnTypes();
String resFileFormat;
TableDesc resultTab;
if (SessionState.get().isHiveServerQuery() && conf.getBoolVar(HiveConf.ConfVars.HIVE_SERVER2_THRIFT_RESULTSET_SERIALIZE_IN_TASKS)) {
resFileFormat = "SequenceFile";
resultTab =
PlanUtils.getDefaultQueryOutputTableDesc(cols, colTypes, resFileFormat,
ThriftJDBCBinarySerDe.class);
} else {
resFileFormat = HiveConf.getVar(conf, HiveConf.ConfVars.HIVEQUERYRESULTFILEFORMAT);
resultTab =
PlanUtils.getDefaultQueryOutputTableDesc(cols, colTypes, resFileFormat,
LazySimpleSerDe.class);
}
fetch = new FetchWork(loadFileWork.get(0).getSourcePath(), resultTab, outerQueryLimit);
ColumnStatsDesc cStatsDesc = new ColumnStatsDesc(tableName,
colName, colType, isTblLevel, numBitVector, fetch);
StatsTask columnStatsTask = map.get(tableName);
if (columnStatsTask == null) {
throw new SemanticException("Can not find " + tableName + " in genColumnStatsTask");
} else {
columnStatsTask.getWork().setColStats(cStatsDesc);
}
}
/**
* Find all leaf tasks of the list of root tasks.
*/
private void getLeafTasks(List> rootTasks,
Set> leaves) {
for (Task root : rootTasks) {
getLeafTasks(root, leaves);
}
}
private void getLeafTasks(Task task,
Set> leaves) {
if (task.getDependentTasks() == null) {
if (!leaves.contains(task)) {
leaves.add(task);
}
} else {
getLeafTasks(task.getDependentTasks(), leaves);
}
}
/*
* Called to transform tasks into local tasks where possible/desirable
*/
protected abstract void decideExecMode(List> rootTasks, Context ctx,
GlobalLimitCtx globalLimitCtx) throws SemanticException;
/*
* Called at the beginning of the compile phase to have another chance to optimize the operator plan
*/
protected void optimizeOperatorPlan(ParseContext pCtxSet, Set inputs,
Set outputs) throws SemanticException {
}
/*
* Called after the tasks have been generated to run another round of optimization
*/
protected abstract void optimizeTaskPlan(List> rootTasks,
ParseContext pCtx, Context ctx) throws SemanticException;
/*
* Called to set the appropriate input format for tasks
*/
protected abstract void setInputFormat(Task rootTask);
/*
* Called to generate the taks tree from the parse context/operator tree
*/
protected abstract void generateTaskTree(List> rootTasks, ParseContext pCtx,
List> mvTask, Set inputs, Set outputs) throws SemanticException;
/**
* Create a clone of the parse context
*/
public ParseContext getParseContext(ParseContext pCtx, List> rootTasks) {
ParseContext clone = new ParseContext(queryState,
pCtx.getOpToPartPruner(), pCtx.getOpToPartList(), pCtx.getTopOps(),
pCtx.getJoinOps(), pCtx.getSmbMapJoinOps(),
pCtx.getLoadTableWork(), pCtx.getLoadFileWork(),
pCtx.getColumnStatsAutoGatherContexts(), pCtx.getContext(),
pCtx.getIdToTableNameMap(), pCtx.getDestTableId(), pCtx.getUCtx(),
pCtx.getListMapJoinOpsNoReducer(),
pCtx.getPrunedPartitions(), pCtx.getTabNameToTabObject(), pCtx.getOpToSamplePruner(), pCtx.getGlobalLimitCtx(),
pCtx.getNameToSplitSample(), pCtx.getSemanticInputs(), rootTasks,
pCtx.getOpToPartToSkewedPruner(), pCtx.getViewAliasToInput(),
pCtx.getReduceSinkOperatorsAddedByEnforceBucketingSorting(),
pCtx.getAnalyzeRewrite(), pCtx.getCreateTable(),
pCtx.getCreateViewDesc(), pCtx.getMaterializedViewUpdateDesc(),
pCtx.getQueryProperties(), pCtx.getViewProjectToTableSchema(),
pCtx.getAcidSinks());
clone.setFetchTask(pCtx.getFetchTask());
clone.setLineageInfo(pCtx.getLineageInfo());
clone.setMapJoinOps(pCtx.getMapJoinOps());
clone.setRsToRuntimeValuesInfoMap(pCtx.getRsToRuntimeValuesInfoMap());
clone.setRsToSemiJoinBranchInfo(pCtx.getRsToSemiJoinBranchInfo());
clone.setColExprToGBMap(pCtx.getColExprToGBMap());
clone.setSemiJoinHints(pCtx.getSemiJoinHints());
return clone;
}
}
