Many resources are needed to download a project. Please understand that we have to compensate our server costs. Thank you in advance. Project price only 1 $
You can buy this project and download/modify it how often you want.
/**
* 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.io.IOException;
import java.io.Serializable;
import java.util.ArrayList;
import java.util.Collections;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import org.antlr.runtime.TokenRewriteStream;
import org.apache.hadoop.fs.FileStatus;
import org.apache.hadoop.fs.FileSystem;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.hive.common.FileUtils;
import org.apache.hadoop.hive.common.StatsSetupConst;
import org.apache.hadoop.hive.conf.HiveConf;
import org.apache.hadoop.hive.metastore.api.FieldSchema;
import org.apache.hadoop.hive.ql.CommandNeedRetryException;
import org.apache.hadoop.hive.ql.Context;
import org.apache.hadoop.hive.ql.Driver;
import org.apache.hadoop.hive.ql.QueryState;
import org.apache.hadoop.hive.ql.exec.ExplainTask;
import org.apache.hadoop.hive.ql.exec.FetchTask;
import org.apache.hadoop.hive.ql.exec.StatsTask;
import org.apache.hadoop.hive.ql.exec.Task;
import org.apache.hadoop.hive.ql.exec.TaskFactory;
import org.apache.hadoop.hive.ql.metadata.HiveException;
import org.apache.hadoop.hive.ql.parse.ExplainConfiguration.AnalyzeState;
import org.apache.hadoop.hive.ql.parse.ExplainConfiguration.VectorizationDetailLevel;
import org.apache.hadoop.hive.ql.plan.ExplainWork;
import org.apache.hadoop.hive.ql.processors.CommandProcessor;
import org.apache.hadoop.hive.ql.processors.CommandProcessorFactory;
import org.apache.hadoop.hive.ql.processors.CommandProcessorResponse;
import org.apache.hadoop.hive.ql.session.SessionState;
import org.apache.hadoop.hive.ql.stats.StatsAggregator;
import org.apache.hadoop.hive.ql.stats.StatsCollectionContext;
import org.apache.hadoop.hive.ql.stats.fs.FSStatsAggregator;
/**
* ExplainSemanticAnalyzer.
*
*/
public class ExplainSemanticAnalyzer extends BaseSemanticAnalyzer {
List fieldList;
ExplainConfiguration config;
public ExplainSemanticAnalyzer(QueryState queryState) throws SemanticException {
super(queryState);
config = new ExplainConfiguration();
}
@SuppressWarnings("unchecked")
@Override
public void analyzeInternal(ASTNode ast) throws SemanticException {
final int childCount = ast.getChildCount();
int i = 1; // Skip TOK_QUERY.
while (i < childCount) {
int explainOptions = ast.getChild(i).getType();
if (explainOptions == HiveParser.KW_FORMATTED) {
config.setFormatted(true);
} else if (explainOptions == HiveParser.KW_EXTENDED) {
config.setExtended(true);
} else if (explainOptions == HiveParser.KW_DEPENDENCY) {
config.setDependency(true);
} else if (explainOptions == HiveParser.KW_LOGICAL) {
config.setLogical(true);
} else if (explainOptions == HiveParser.KW_AUTHORIZATION) {
config.setAuthorize(true);
} else if (explainOptions == HiveParser.KW_ANALYZE) {
config.setAnalyze(AnalyzeState.RUNNING);
config.setExplainRootPath(ctx.getMRTmpPath());
} else if (explainOptions == HiveParser.KW_VECTORIZATION) {
config.setVectorization(true);
if (i + 1 < childCount) {
int vectorizationOption = ast.getChild(i + 1).getType();
// [ONLY]
if (vectorizationOption == HiveParser.TOK_ONLY) {
config.setVectorizationOnly(true);
i++;
if (i + 1 >= childCount) {
break;
}
vectorizationOption = ast.getChild(i + 1).getType();
}
// [SUMMARY|OPERATOR|EXPRESSION|DETAIL]
if (vectorizationOption == HiveParser.TOK_SUMMARY) {
config.setVectorizationDetailLevel(VectorizationDetailLevel.SUMMARY);
i++;
} else if (vectorizationOption == HiveParser.TOK_OPERATOR) {
config.setVectorizationDetailLevel(VectorizationDetailLevel.OPERATOR);
i++;
} else if (vectorizationOption == HiveParser.TOK_EXPRESSION) {
config.setVectorizationDetailLevel(VectorizationDetailLevel.EXPRESSION);
i++;
} else if (vectorizationOption == HiveParser.TOK_DETAIL) {
config.setVectorizationDetailLevel(VectorizationDetailLevel.DETAIL);
i++;
}
}
} else {
// UNDONE: UNKNOWN OPTION?
}
i++;
}
ctx.setExplainConfig(config);
ASTNode input = (ASTNode) ast.getChild(0);
// explain analyze is composed of two steps
// step 1 (ANALYZE_STATE.RUNNING), run the query and collect the runtime #rows
// step 2 (ANALYZE_STATE.ANALYZING), explain the query and provide the runtime #rows collected.
if (config.getAnalyze() == AnalyzeState.RUNNING) {
String query = ctx.getTokenRewriteStream().toString(input.getTokenStartIndex(),
input.getTokenStopIndex());
LOG.info("Explain analyze (running phase) for query " + query);
Context runCtx = null;
try {
runCtx = new Context(conf);
// runCtx and ctx share the configuration
runCtx.setExplainConfig(config);
Driver driver = new Driver(conf, runCtx);
CommandProcessorResponse ret = driver.run(query);
if(ret.getResponseCode() == 0) {
// Note that we need to call getResults for simple fetch optimization.
// However, we need to skip all the results.
while (driver.getResults(new ArrayList())) {
}
} else {
throw new SemanticException(ret.getErrorMessage(), ret.getException());
}
config.setOpIdToRuntimeNumRows(aggregateStats(config.getExplainRootPath()));
} catch (IOException e1) {
throw new SemanticException(e1);
} catch (CommandNeedRetryException e) {
throw new SemanticException(e);
}
ctx.resetOpContext();
ctx.resetStream();
TaskFactory.resetId();
LOG.info("Explain analyze (analyzing phase) for query " + query);
config.setAnalyze(AnalyzeState.ANALYZING);
}
BaseSemanticAnalyzer sem = SemanticAnalyzerFactory.get(queryState, input);
sem.analyze(input, ctx);
sem.validate();
if (!HiveConf.getBoolVar(conf, HiveConf.ConfVars.HIVE_IN_TEST, false)) {
inputs = sem.getInputs();
outputs = sem.getOutputs();
}
ctx.setResFile(ctx.getLocalTmpPath());
List> tasks = sem.getAllRootTasks();
if (tasks == null) {
tasks = Collections.emptyList();
}
FetchTask fetchTask = sem.getFetchTask();
if (fetchTask != null) {
// Initialize fetch work such that operator tree will be constructed.
fetchTask.getWork().initializeForFetch(ctx.getOpContext());
}
ParseContext pCtx = null;
if (sem instanceof SemanticAnalyzer) {
pCtx = ((SemanticAnalyzer)sem).getParseContext();
}
config.setUserLevelExplain(!config.isExtended()
&& !config.isFormatted()
&& !config.isDependency()
&& !config.isLogical()
&& !config.isAuthorize()
&& (HiveConf.getBoolVar(ctx.getConf(), HiveConf.ConfVars.HIVE_EXPLAIN_USER) && HiveConf
.getVar(conf, HiveConf.ConfVars.HIVE_EXECUTION_ENGINE).equals("tez")));
ExplainWork work = new ExplainWork(ctx.getResFile(),
pCtx,
tasks,
fetchTask,
sem,
config,
ctx.getCboInfo());
work.setAppendTaskType(
HiveConf.getBoolVar(conf, HiveConf.ConfVars.HIVEEXPLAINDEPENDENCYAPPENDTASKTYPES));
ExplainTask explTask = (ExplainTask) TaskFactory.get(work, conf);
fieldList = explTask.getResultSchema();
rootTasks.add(explTask);
}
private Map aggregateStats(Path localTmpPath) {
Map opIdToRuntimeNumRows = new HashMap();
// localTmpPath is the root of all the stats.
// Under it, there will be SEL_1/statsfiles, SEL_2/statsfiles etc where SEL_1 and SEL_2 are the op ids.
FileSystem fs;
FileStatus[] statuses = null;
try {
fs = localTmpPath.getFileSystem(conf);
statuses = fs.listStatus(localTmpPath, FileUtils.HIDDEN_FILES_PATH_FILTER);
// statuses can be null if it is DDL, etc
} catch (IOException e) {
LOG.warn(e.toString());
}
if (statuses != null) {
for (FileStatus status : statuses) {
if (status.isDir()) {
StatsCollectionContext scc = new StatsCollectionContext(conf);
String[] names = status.getPath().toString().split(Path.SEPARATOR);
String opId = names[names.length - 1];
scc.setStatsTmpDir(status.getPath().toString());
StatsAggregator statsAggregator = new FSStatsAggregator();
if (!statsAggregator.connect(scc)) {
// -1 means that there is no stats
opIdToRuntimeNumRows.put(opId, -1L);
} else {
String value = statsAggregator.aggregateStats("", StatsSetupConst.RUN_TIME_ROW_COUNT);
opIdToRuntimeNumRows.put(opId, Long.parseLong(value));
}
if (statsAggregator != null) {
statsAggregator.closeConnection(scc);
}
}
}
}
return opIdToRuntimeNumRows;
}
@Override
public List getResultSchema() {
return fieldList;
}
@Override
public boolean skipAuthorization() {
List> rootTasks = getRootTasks();
assert rootTasks != null && rootTasks.size() == 1;
Task task = rootTasks.get(0);
return task instanceof ExplainTask && ((ExplainTask)task).getWork().isAuthorize();
}
}
