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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.exec.persistence;
import java.io.Serializable;
import java.util.ArrayList;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import java.util.Map.Entry;
import java.util.Set;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.hive.conf.HiveConf;
import org.apache.hadoop.hive.ql.exec.ExprNodeEvaluator;
import org.apache.hadoop.hive.ql.exec.JoinUtil;
import org.apache.hadoop.hive.ql.exec.vector.VectorHashKeyWrapper;
import org.apache.hadoop.hive.ql.exec.vector.VectorHashKeyWrapperBatch;
import org.apache.hadoop.hive.ql.exec.vector.expressions.VectorExpressionWriter;
import org.apache.hadoop.hive.ql.metadata.HiveException;
import org.apache.hadoop.hive.serde2.SerDeException;
import org.apache.hadoop.hive.serde2.ByteStream.Output;
import org.apache.hadoop.hive.serde2.objectinspector.ObjectInspector;
import org.apache.hadoop.io.BytesWritable;
import org.apache.hadoop.io.Writable;
/**
* Simple wrapper for persistent Hashmap implementing only the put/get/remove/clear interface. The
* main memory hash table acts as a cache and all put/get will operate on it first. If the size of
* the main memory hash table exceeds a certain threshold, new elements will go into the persistent
* hash table.
*/
public class HashMapWrapper extends AbstractMapJoinTableContainer implements Serializable {
private static final long serialVersionUID = 1L;
protected static final Logger LOG = LoggerFactory.getLogger(HashMapWrapper.class);
private static final long DEFAULT_HASHMAP_ENTRY_SIZE = 1024L;
// default threshold for using main memory based HashMap
private static final int THRESHOLD = 1000000;
private static final float LOADFACTOR = 0.75f;
private final HashMap mHash; // main memory HashMap
private final MapJoinKey lastKey = null;
private final Output output = new Output(0); // Reusable output for serialization
private MapJoinObjectSerDeContext keyContext;
private MapJoinObjectSerDeContext valueContext;
public HashMapWrapper(Map metaData) {
super(metaData);
int threshold = Integer.parseInt(metaData.get(THESHOLD_NAME));
float loadFactor = Float.parseFloat(metaData.get(LOAD_NAME));
mHash = new HashMap(threshold, loadFactor);
}
public HashMapWrapper() {
this(HiveConf.ConfVars.HIVEHASHTABLEKEYCOUNTADJUSTMENT.defaultFloatVal,
HiveConf.ConfVars.HIVEHASHTABLETHRESHOLD.defaultIntVal,
HiveConf.ConfVars.HIVEHASHTABLELOADFACTOR.defaultFloatVal, -1);
}
public HashMapWrapper(Configuration hconf, long keyCount) {
this(HiveConf.getFloatVar(hconf, HiveConf.ConfVars.HIVEHASHTABLEKEYCOUNTADJUSTMENT),
HiveConf.getIntVar(hconf, HiveConf.ConfVars.HIVEHASHTABLETHRESHOLD),
HiveConf.getFloatVar(hconf, HiveConf.ConfVars.HIVEHASHTABLELOADFACTOR), keyCount);
}
private HashMapWrapper(float keyCountAdj, int threshold, float loadFactor, long keyCount) {
super(createConstructorMetaData(threshold, loadFactor));
threshold = calculateTableSize(keyCountAdj, threshold, loadFactor, keyCount);
mHash = new HashMap(threshold, loadFactor);
}
public static int calculateTableSize(
float keyCountAdj, int threshold, float loadFactor, long keyCount) {
if (keyCount >= 0 && keyCountAdj != 0) {
// We have statistics for the table. Size appropriately.
threshold = (int)Math.ceil(keyCount / (keyCountAdj * loadFactor));
}
LOG.info("Key count from statistics is " + keyCount + "; setting map size to " + threshold);
return threshold;
}
@Override
public MapJoinRowContainer get(MapJoinKey key) {
return mHash.get(key);
}
@Override
public void put(MapJoinKey key, MapJoinRowContainer value) {
mHash.put(key, value);
}
@Override
public int size() {
return mHash.size();
}
@Override
public Set> entrySet() {
return mHash.entrySet();
}
@Override
public void clear() {
mHash.clear();
}
@Override
public MapJoinKey putRow(Writable currentKey, Writable currentValue)
throws SerDeException, HiveException {
MapJoinKey key = MapJoinKey.read(output, keyContext, currentKey);
FlatRowContainer values = (FlatRowContainer)get(key);
if (values == null) {
values = new FlatRowContainer();
put(key, values);
}
values.add(valueContext, (BytesWritable)currentValue);
return key;
}
@Override
public ReusableGetAdaptor createGetter(MapJoinKey keyTypeFromLoader) {
return new GetAdaptor(keyTypeFromLoader);
}
@Override
public long getEstimatedMemorySize() {
// TODO: Key and Values are Object[] which can be eagerly deserialized or lazily deserialized. To accurately
// estimate the entry size, every possible Objects in Key, Value should implement MemoryEstimate interface which
// is very intrusive. So assuming default entry size here.
return size() * DEFAULT_HASHMAP_ENTRY_SIZE;
}
private class GetAdaptor implements ReusableGetAdaptor {
private Object[] currentKey;
private List vectorKeyOIs;
private MapJoinKey key;
private MapJoinRowContainer currentValue;
private final Output output = new Output();
private boolean isFirstKey = true;
public GetAdaptor(MapJoinKey key) {
this.key = key;
}
@Override
public JoinUtil.JoinResult setFromVector(VectorHashKeyWrapper kw,
VectorExpressionWriter[] keyOutputWriters, VectorHashKeyWrapperBatch keyWrapperBatch)
throws HiveException {
if (currentKey == null) {
currentKey = new Object[keyOutputWriters.length];
vectorKeyOIs = new ArrayList();
for (int i = 0; i < keyOutputWriters.length; i++) {
vectorKeyOIs.add(keyOutputWriters[i].getObjectInspector());
}
}
for (int i = 0; i < keyOutputWriters.length; i++) {
currentKey[i] = keyWrapperBatch.getWritableKeyValue(kw, i, keyOutputWriters[i]);
}
key = MapJoinKey.readFromVector(output, key, currentKey, vectorKeyOIs, !isFirstKey);
isFirstKey = false;
this.currentValue = mHash.get(key);
if (this.currentValue == null) {
return JoinUtil.JoinResult.NOMATCH;
}
else {
return JoinUtil.JoinResult.MATCH;
}
}
@Override
public JoinUtil.JoinResult setFromRow(Object row, List fields,
List ois) throws HiveException {
if (currentKey == null) {
currentKey = new Object[fields.size()];
}
for (int keyIndex = 0; keyIndex < fields.size(); ++keyIndex) {
currentKey[keyIndex] = fields.get(keyIndex).evaluate(row);
}
key = MapJoinKey.readFromRow(output, key, currentKey, ois, !isFirstKey);
isFirstKey = false;
this.currentValue = mHash.get(key);
if (this.currentValue == null) {
return JoinUtil.JoinResult.NOMATCH;
}
else {
return JoinUtil.JoinResult.MATCH;
}
}
@Override
public JoinUtil.JoinResult setFromOther(ReusableGetAdaptor other) {
assert other instanceof GetAdaptor;
GetAdaptor other2 = (GetAdaptor)other;
this.key = other2.key;
this.isFirstKey = other2.isFirstKey;
this.currentValue = mHash.get(key);
if (this.currentValue == null) {
return JoinUtil.JoinResult.NOMATCH;
}
else {
return JoinUtil.JoinResult.MATCH;
}
}
@Override
public boolean hasAnyNulls(int fieldCount, boolean[] nullsafes) {
return key.hasAnyNulls(fieldCount, nullsafes);
}
@Override
public MapJoinRowContainer getCurrentRows() {
return currentValue;
}
@Override
public Object[] getCurrentKey() {
return currentKey;
}
}
@Override
public void seal() {
// Nothing to do.
}
@Override
public MapJoinKey getAnyKey() {
return mHash.isEmpty() ? null : mHash.keySet().iterator().next();
}
@Override
public void dumpMetrics() {
// Nothing to do.
}
@Override
public boolean hasSpill() {
return false;
}
@Override
public void setSerde(MapJoinObjectSerDeContext keyCtx, MapJoinObjectSerDeContext valCtx)
throws SerDeException {
this.keyContext = keyCtx;
this.valueContext = valCtx;
}
}
