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.exec;
import java.io.Serializable;
import java.util.ArrayList;
import java.util.LinkedHashMap;
import java.util.List;
import java.util.Map;
import org.apache.commons.logging.Log;
import org.apache.commons.logging.LogFactory;
import org.apache.hadoop.fs.FileStatus;
import org.apache.hadoop.hive.common.StatsSetupConst;
import org.apache.hadoop.hive.conf.HiveConf;
import org.apache.hadoop.hive.metastore.MetaStoreUtils;
import org.apache.hadoop.hive.metastore.Warehouse;
import org.apache.hadoop.hive.metastore.api.MetaException;
import org.apache.hadoop.hive.metastore.api.StorageDescriptor;
import org.apache.hadoop.hive.ql.DriverContext;
import org.apache.hadoop.hive.ql.ErrorMsg;
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.parse.BaseSemanticAnalyzer.tableSpec;
import org.apache.hadoop.hive.ql.plan.DynamicPartitionCtx;
import org.apache.hadoop.hive.ql.plan.LoadTableDesc;
import org.apache.hadoop.hive.ql.plan.StatsWork;
import org.apache.hadoop.hive.ql.plan.api.StageType;
import org.apache.hadoop.hive.ql.stats.StatsAggregator;
import org.apache.hadoop.hive.ql.stats.StatsCollectionTaskIndependent;
import org.apache.hadoop.hive.ql.stats.StatsFactory;
import org.apache.hadoop.hive.ql.stats.StatsPublisher;
import org.apache.hadoop.util.StringUtils;
/**
* StatsTask implementation. StatsTask mainly deals with "collectable" stats. These are
* stats that require data scanning and are collected during query execution (unless the user
* explicitly requests data scanning just for the purpose of stats computation using the "ANALYZE"
* command. All other stats are computed directly by the MetaStore. The rationale being that the
* MetaStore layer covers all Thrift calls and provides better guarantees about the accuracy of
* those stats.
**/
public class StatsTask extends Task implements Serializable {
private static final long serialVersionUID = 1L;
private static transient final Log LOG = LogFactory.getLog(StatsTask.class);
private Table table;
private List> dpPartSpecs;
public StatsTask() {
super();
dpPartSpecs = null;
}
@Override
protected void receiveFeed(FeedType feedType, Object feedValue) {
// this method should be called by MoveTask when there are dynamic partitions generated
if (feedType == FeedType.DYNAMIC_PARTITIONS) {
assert feedValue instanceof List;
dpPartSpecs = (List>) feedValue;
}
}
@Override
public int execute(DriverContext driverContext) {
LOG.info("Executing stats task");
// Make sure that it is either an ANALYZE, INSERT OVERWRITE or CTAS command
short workComponentsPresent = 0;
if (work.getLoadTableDesc() != null) {
workComponentsPresent++;
}
if (work.getTableSpecs() != null) {
workComponentsPresent++;
}
if (work.getLoadFileDesc() != null) {
workComponentsPresent++;
}
assert (workComponentsPresent == 1);
String tableName = "";
try {
if (work.getLoadTableDesc() != null) {
tableName = work.getLoadTableDesc().getTable().getTableName();
} else if (work.getTableSpecs() != null){
tableName = work.getTableSpecs().tableName;
} else {
tableName = work.getLoadFileDesc().getDestinationCreateTable();
}
table = db.getTable(tableName);
} catch (HiveException e) {
LOG.error("Cannot get table " + tableName, e);
console.printError("Cannot get table " + tableName, e.toString());
}
return aggregateStats();
}
@Override
public StageType getType() {
return StageType.STATS;
}
@Override
public String getName() {
return "STATS";
}
private int aggregateStats() {
StatsAggregator statsAggregator = null;
int ret = 0;
try {
// Stats setup:
Warehouse wh = new Warehouse(conf);
if (!getWork().getNoStatsAggregator() && !getWork().isNoScanAnalyzeCommand()) {
try {
statsAggregator = createStatsAggregator(conf);
} catch (HiveException e) {
if (HiveConf.getBoolVar(conf, HiveConf.ConfVars.HIVE_STATS_RELIABLE)) {
throw e;
}
console.printError(ErrorMsg.STATS_SKIPPING_BY_ERROR.getErrorCodedMsg(e.toString()));
}
}
List partitions = getPartitionsList();
boolean atomic = HiveConf.getBoolVar(conf, HiveConf.ConfVars.HIVE_STATS_ATOMIC);
String tableFullName = table.getDbName() + "." + table.getTableName();
int maxPrefixLength = StatsFactory.getMaxPrefixLength(conf);
// "counter" or "fs" type does not need to collect stats per task
boolean taskIndependent = statsAggregator instanceof StatsCollectionTaskIndependent;
if (partitions == null) {
org.apache.hadoop.hive.metastore.api.Table tTable = table.getTTable();
Map parameters = tTable.getParameters();
// non-partitioned tables:
if (!existStats(parameters) && atomic) {
return 0;
}
// The collectable stats for the aggregator needs to be cleared.
// For eg. if a file is being loaded, the old number of rows are not valid
if (work.isClearAggregatorStats()) {
clearStats(parameters);
}
if (statsAggregator != null) {
String prefix = getAggregationPrefix(taskIndependent, table, null);
updateStats(statsAggregator, parameters, prefix, maxPrefixLength, atomic);
}
updateQuickStats(wh, parameters, tTable.getSd());
// write table stats to metastore
parameters.put(StatsSetupConst.STATS_GENERATED_VIA_STATS_TASK, StatsSetupConst.TRUE);
db.alterTable(tableFullName, new Table(tTable));
console.printInfo("Table " + tableFullName + " stats: [" + toString(parameters) + ']');
} else {
// Partitioned table:
// Need to get the old stats of the partition
// and update the table stats based on the old and new stats.
List updates = new ArrayList();
for (Partition partn : partitions) {
//
// get the old partition stats
//
org.apache.hadoop.hive.metastore.api.Partition tPart = partn.getTPartition();
Map parameters = tPart.getParameters();
if (!existStats(parameters) && atomic) {
continue;
}
// The collectable stats for the aggregator needs to be cleared.
// For eg. if a file is being loaded, the old number of rows are not valid
if (work.isClearAggregatorStats()) {
clearStats(parameters);
}
if (statsAggregator != null) {
String prefix = getAggregationPrefix(taskIndependent, table, partn);
updateStats(statsAggregator, parameters, prefix, maxPrefixLength, atomic);
}
updateQuickStats(wh, parameters, tPart.getSd());
parameters.put(StatsSetupConst.STATS_GENERATED_VIA_STATS_TASK, StatsSetupConst.TRUE);
updates.add(new Partition(table, tPart));
console.printInfo("Partition " + tableFullName + partn.getSpec() +
" stats: [" + toString(parameters) + ']');
}
if (!updates.isEmpty()) {
db.alterPartitions(tableFullName, updates);
}
}
} catch (Exception e) {
console.printInfo("[Warning] could not update stats.",
"Failed with exception " + e.getMessage() + "\n"
+ StringUtils.stringifyException(e));
// Fail the query if the stats are supposed to be reliable
if (work.isStatsReliable()) {
ret = 1;
}
} finally {
if (statsAggregator != null) {
statsAggregator.closeConnection();
}
}
// The return value of 0 indicates success,
// anything else indicates failure
return ret;
}
private String getAggregationPrefix(boolean counter, Table table, Partition partition)
throws MetaException {
if (!counter && partition == null) {
return work.getAggKey();
}
StringBuilder prefix = new StringBuilder();
if (counter) {
// prefix is of the form dbName.tblName
prefix.append(table.getDbName()).append('.').append(table.getTableName());
} else {
// In case of a non-partitioned table, the key for stats temporary store is "rootDir"
prefix.append(work.getAggKey());
}
if (partition != null) {
return Utilities.join(prefix.toString(), Warehouse.makePartPath(partition.getSpec()));
}
return prefix.toString();
}
private StatsAggregator createStatsAggregator(HiveConf conf) throws HiveException {
String statsImpl = HiveConf.getVar(conf, HiveConf.ConfVars.HIVESTATSDBCLASS);
StatsFactory factory = StatsFactory.newFactory(statsImpl, conf);
if (factory == null) {
throw new HiveException(ErrorMsg.STATSPUBLISHER_NOT_OBTAINED.getErrorCodedMsg());
}
// initialize stats publishing table for noscan which has only stats task
// the rest of MR task following stats task initializes it in ExecDriver.java
StatsPublisher statsPublisher = factory.getStatsPublisher();
if (!statsPublisher.init(conf)) { // creating stats table if not exists
throw new HiveException(ErrorMsg.STATSPUBLISHER_INITIALIZATION_ERROR.getErrorCodedMsg());
}
Task sourceTask = getWork().getSourceTask();
if (sourceTask == null) {
throw new HiveException(ErrorMsg.STATSAGGREGATOR_SOURCETASK_NULL.getErrorCodedMsg());
}
// manufacture a StatsAggregator
StatsAggregator statsAggregator = factory.getStatsAggregator();
if (!statsAggregator.connect(conf, sourceTask)) {
throw new HiveException(ErrorMsg.STATSAGGREGATOR_CONNECTION_ERROR.getErrorCodedMsg(statsImpl));
}
return statsAggregator;
}
private boolean existStats(Map parameters) {
return parameters.containsKey(StatsSetupConst.ROW_COUNT)
|| parameters.containsKey(StatsSetupConst.NUM_FILES)
|| parameters.containsKey(StatsSetupConst.TOTAL_SIZE)
|| parameters.containsKey(StatsSetupConst.RAW_DATA_SIZE)
|| parameters.containsKey(StatsSetupConst.NUM_PARTITIONS);
}
private void updateStats(StatsAggregator statsAggregator,
Map parameters, String prefix, int maxPrefixLength, boolean atomic)
throws HiveException {
String aggKey = Utilities.getHashedStatsPrefix(prefix, maxPrefixLength);
for (String statType : StatsSetupConst.statsRequireCompute) {
String value = statsAggregator.aggregateStats(aggKey, statType);
if (value != null && !value.isEmpty()) {
long longValue = Long.parseLong(value);
if (work.getLoadTableDesc() != null &&
!work.getLoadTableDesc().getReplace()) {
String originalValue = parameters.get(statType);
if (originalValue != null && !originalValue.equals("-1")) {
longValue += Long.parseLong(originalValue); // todo: invalid + valid = invalid
}
}
parameters.put(statType, String.valueOf(longValue));
} else {
if (atomic) {
throw new HiveException(ErrorMsg.STATSAGGREGATOR_MISSED_SOMESTATS, statType);
}
}
}
statsAggregator.cleanUp(aggKey);
}
private void updateQuickStats(Warehouse wh, Map parameters,
StorageDescriptor desc) throws MetaException {
/**
* calculate fast statistics
*/
FileStatus[] partfileStatus = wh.getFileStatusesForSD(desc);
MetaStoreUtils.populateQuickStats(partfileStatus, parameters);
}
private void clearStats(Map parameters) {
for (String statType : StatsSetupConst.supportedStats) {
if (parameters.containsKey(statType)) {
parameters.put(statType, "0");
}
}
}
private String toString(Map parameters) {
StringBuilder builder = new StringBuilder();
for (String statType : StatsSetupConst.supportedStats) {
String value = parameters.get(statType);
if (value != null) {
if (builder.length() > 0) {
builder.append(", ");
}
builder.append(statType).append('=').append(value);
}
}
return builder.toString();
}
/**
* Get the list of partitions that need to update statistics.
* TODO: we should reuse the Partitions generated at compile time
* since getting the list of partitions is quite expensive.
*
* @return a list of partitions that need to update statistics.
* @throws HiveException
*/
private List getPartitionsList() throws HiveException {
if (work.getLoadFileDesc() != null) {
return null; //we are in CTAS, so we know there are no partitions
}
List list = new ArrayList();
if (work.getTableSpecs() != null) {
// ANALYZE command
tableSpec tblSpec = work.getTableSpecs();
table = tblSpec.tableHandle;
if (!table.isPartitioned()) {
return null;
}
// get all partitions that matches with the partition spec
List partitions = tblSpec.partitions;
if (partitions != null) {
for (Partition partn : partitions) {
list.add(partn);
}
}
} else if (work.getLoadTableDesc() != null) {
// INSERT OVERWRITE command
LoadTableDesc tbd = work.getLoadTableDesc();
table = db.getTable(tbd.getTable().getTableName());
if (!table.isPartitioned()) {
return null;
}
DynamicPartitionCtx dpCtx = tbd.getDPCtx();
if (dpCtx != null && dpCtx.getNumDPCols() > 0) { // dynamic partitions
// If no dynamic partitions are generated, dpPartSpecs may not be initialized
if (dpPartSpecs != null) {
// load the list of DP partitions and return the list of partition specs
for (LinkedHashMap partSpec : dpPartSpecs) {
Partition partn = db.getPartition(table, partSpec, false);
list.add(partn);
}
}
} else { // static partition
Partition partn = db.getPartition(table, tbd.getPartitionSpec(), false);
list.add(partn);
}
}
return list;
}
}
