use of org.apache.tez.runtime.library.api.KeyValueReader in project hive by apache.
the class VectorMapJoinFastHashTableLoader method load.
@Override
public void load(MapJoinTableContainer[] mapJoinTables, MapJoinTableContainerSerDe[] mapJoinTableSerdes) throws HiveException {
Map<Integer, String> parentToInput = desc.getParentToInput();
Map<Integer, Long> parentKeyCounts = desc.getParentKeyCounts();
for (int pos = 0; pos < mapJoinTables.length; pos++) {
if (pos == desc.getPosBigTable()) {
continue;
}
String inputName = parentToInput.get(pos);
LogicalInput input = tezContext.getInput(inputName);
try {
input.start();
tezContext.getTezProcessorContext().waitForAnyInputReady(Collections.<Input>singletonList(input));
} catch (Exception e) {
throw new HiveException(e);
}
try {
KeyValueReader kvReader = (KeyValueReader) input.getReader();
Long keyCountObj = parentKeyCounts.get(pos);
long keyCount = (keyCountObj == null) ? -1 : keyCountObj.longValue();
VectorMapJoinFastTableContainer vectorMapJoinFastTableContainer = new VectorMapJoinFastTableContainer(desc, hconf, keyCount);
// No SerDes here.
vectorMapJoinFastTableContainer.setSerde(null, null);
while (kvReader.next()) {
vectorMapJoinFastTableContainer.putRow((BytesWritable) kvReader.getCurrentKey(), (BytesWritable) kvReader.getCurrentValue());
}
vectorMapJoinFastTableContainer.seal();
mapJoinTables[pos] = (MapJoinTableContainer) vectorMapJoinFastTableContainer;
} catch (IOException e) {
throw new HiveException(e);
} catch (SerDeException e) {
throw new HiveException(e);
} catch (Exception e) {
throw new HiveException(e);
}
}
}
use of org.apache.tez.runtime.library.api.KeyValueReader in project hive by apache.
the class MapRecordProcessor method initializeMapRecordSources.
private void initializeMapRecordSources() throws Exception {
// the +1 is for the main map operator itself
int size = mergeMapOpList.size() + 1;
sources = new MapRecordSource[size];
position = mapOp.getConf().getTag();
sources[position] = new MapRecordSource();
KeyValueReader reader = null;
if (mainWorkMultiMRInput != null) {
reader = getKeyValueReader(mainWorkMultiMRInput.getKeyValueReaders(), mapOp);
} else {
reader = legacyMRInput.getReader();
}
sources[position].init(jconf, mapOp, reader);
for (AbstractMapOperator mapOp : mergeMapOpList) {
int tag = mapOp.getConf().getTag();
sources[tag] = new MapRecordSource();
String inputName = mapOp.getConf().getName();
MultiMRInput multiMRInput = multiMRInputMap.get(inputName);
Collection<KeyValueReader> kvReaders = multiMRInput.getKeyValueReaders();
l4j.debug("There are " + kvReaders.size() + " key-value readers for input " + inputName);
if (kvReaders.size() > 0) {
reader = getKeyValueReader(kvReaders, mapOp);
sources[tag].init(jconf, mapOp, reader);
}
}
((TezContext) MapredContext.get()).setRecordSources(sources);
}
use of org.apache.tez.runtime.library.api.KeyValueReader in project hive by apache.
the class DynamicValueRegistryTez method init.
@Override
public void init(RegistryConf conf) throws Exception {
RegistryConfTez rct = (RegistryConfTez) conf;
for (String inputSourceName : rct.baseWork.getInputSourceToRuntimeValuesInfo().keySet()) {
LOG.info("Runtime value source: " + inputSourceName);
LogicalInput runtimeValueInput = rct.inputs.get(inputSourceName);
RuntimeValuesInfo runtimeValuesInfo = rct.baseWork.getInputSourceToRuntimeValuesInfo().get(inputSourceName);
// Setup deserializer/obj inspectors for the incoming data source
Deserializer deserializer = ReflectionUtils.newInstance(runtimeValuesInfo.getTableDesc().getDeserializerClass(), null);
deserializer.initialize(rct.conf, runtimeValuesInfo.getTableDesc().getProperties());
ObjectInspector inspector = deserializer.getObjectInspector();
// Set up col expressions for the dynamic values using this input
List<ExprNodeEvaluator> colExprEvaluators = new ArrayList<ExprNodeEvaluator>();
for (ExprNodeDesc expr : runtimeValuesInfo.getColExprs()) {
ExprNodeEvaluator exprEval = ExprNodeEvaluatorFactory.get(expr, null);
exprEval.initialize(inspector);
colExprEvaluators.add(exprEval);
}
runtimeValueInput.start();
List<Input> inputList = new ArrayList<Input>();
inputList.add(runtimeValueInput);
rct.processorContext.waitForAllInputsReady(inputList);
KeyValueReader kvReader = (KeyValueReader) runtimeValueInput.getReader();
long rowCount = 0;
while (kvReader.next()) {
Object row = deserializer.deserialize((Writable) kvReader.getCurrentValue());
rowCount++;
for (int colIdx = 0; colIdx < colExprEvaluators.size(); ++colIdx) {
// Read each expression and save it to the value registry
ExprNodeEvaluator eval = colExprEvaluators.get(colIdx);
Object val = eval.evaluate(row);
setValue(runtimeValuesInfo.getDynamicValueIDs().get(colIdx), val);
}
}
// For now, expecting a single row (min/max, aggregated bloom filter), or no rows
if (rowCount == 0) {
LOG.debug("No input rows from " + inputSourceName + ", filling dynamic values with nulls");
for (int colIdx = 0; colIdx < colExprEvaluators.size(); ++colIdx) {
ExprNodeEvaluator eval = colExprEvaluators.get(colIdx);
setValue(runtimeValuesInfo.getDynamicValueIDs().get(colIdx), null);
}
} else if (rowCount > 1) {
throw new IllegalStateException("Expected 0 or 1 rows from " + inputSourceName + ", got " + rowCount);
}
}
}
use of org.apache.tez.runtime.library.api.KeyValueReader in project hive by apache.
the class HashTableLoader method load.
@Override
public void load(MapJoinTableContainer[] mapJoinTables, MapJoinTableContainerSerDe[] mapJoinTableSerdes) throws HiveException {
Map<Integer, String> parentToInput = desc.getParentToInput();
Map<Integer, Long> parentKeyCounts = desc.getParentKeyCounts();
boolean isCrossProduct = false;
List<ExprNodeDesc> joinExprs = desc.getKeys().values().iterator().next();
if (joinExprs.size() == 0) {
isCrossProduct = true;
}
boolean useOptimizedTables = HiveConf.getBoolVar(hconf, HiveConf.ConfVars.HIVEMAPJOINUSEOPTIMIZEDTABLE);
boolean useHybridGraceHashJoin = desc.isHybridHashJoin();
boolean isFirstKey = true;
// Get the total available memory from memory manager
long totalMapJoinMemory = desc.getMemoryNeeded();
LOG.info("Memory manager allocates " + totalMapJoinMemory + " bytes for the loading hashtable.");
if (totalMapJoinMemory <= 0) {
totalMapJoinMemory = HiveConf.getLongVar(hconf, HiveConf.ConfVars.HIVECONVERTJOINNOCONDITIONALTASKTHRESHOLD);
}
long processMaxMemory = ManagementFactory.getMemoryMXBean().getHeapMemoryUsage().getMax();
if (totalMapJoinMemory > processMaxMemory) {
float hashtableMemoryUsage = HiveConf.getFloatVar(hconf, HiveConf.ConfVars.HIVEHASHTABLEFOLLOWBYGBYMAXMEMORYUSAGE);
LOG.warn("totalMapJoinMemory value of " + totalMapJoinMemory + " is greater than the max memory size of " + processMaxMemory);
// Don't want to attempt to grab more memory than we have available .. percentage is a bit arbitrary
totalMapJoinMemory = (long) (processMaxMemory * hashtableMemoryUsage);
}
// Only applicable to n-way Hybrid Grace Hash Join
HybridHashTableConf nwayConf = null;
long totalSize = 0;
// position of the biggest small table
int biggest = 0;
Map<Integer, Long> tableMemorySizes = null;
if (useHybridGraceHashJoin && mapJoinTables.length > 2) {
// Create a Conf for n-way HybridHashTableContainers
nwayConf = new HybridHashTableConf();
LOG.info("N-way join: " + (mapJoinTables.length - 1) + " small tables.");
// Find the biggest small table; also calculate total data size of all small tables
// the size of the biggest small table
long maxSize = Long.MIN_VALUE;
for (int pos = 0; pos < mapJoinTables.length; pos++) {
if (pos == desc.getPosBigTable()) {
continue;
}
long smallTableSize = desc.getParentDataSizes().get(pos);
totalSize += smallTableSize;
if (maxSize < smallTableSize) {
maxSize = smallTableSize;
biggest = pos;
}
}
tableMemorySizes = divideHybridHashTableMemory(mapJoinTables, desc, totalSize, totalMapJoinMemory);
// Using biggest small table, calculate number of partitions to create for each small table
long memory = tableMemorySizes.get(biggest);
int numPartitions = 0;
try {
numPartitions = HybridHashTableContainer.calcNumPartitions(memory, maxSize, HiveConf.getIntVar(hconf, HiveConf.ConfVars.HIVEHYBRIDGRACEHASHJOINMINNUMPARTITIONS), HiveConf.getIntVar(hconf, HiveConf.ConfVars.HIVEHYBRIDGRACEHASHJOINMINWBSIZE));
} catch (IOException e) {
throw new HiveException(e);
}
nwayConf.setNumberOfPartitions(numPartitions);
}
for (int pos = 0; pos < mapJoinTables.length; pos++) {
if (pos == desc.getPosBigTable()) {
continue;
}
String inputName = parentToInput.get(pos);
LogicalInput input = tezContext.getInput(inputName);
try {
input.start();
tezContext.getTezProcessorContext().waitForAnyInputReady(Collections.<Input>singletonList(input));
} catch (Exception e) {
throw new HiveException(e);
}
try {
KeyValueReader kvReader = (KeyValueReader) input.getReader();
MapJoinObjectSerDeContext keyCtx = mapJoinTableSerdes[pos].getKeyContext(), valCtx = mapJoinTableSerdes[pos].getValueContext();
if (useOptimizedTables) {
ObjectInspector keyOi = keyCtx.getSerDe().getObjectInspector();
if (!MapJoinBytesTableContainer.isSupportedKey(keyOi)) {
if (isFirstKey) {
useOptimizedTables = false;
LOG.info(describeOi("Not using optimized hash table. " + "Only a subset of mapjoin keys is supported. Unsupported key: ", keyOi));
} else {
throw new HiveException(describeOi("Only a subset of mapjoin keys is supported. Unsupported key: ", keyOi));
}
}
}
isFirstKey = false;
Long keyCountObj = parentKeyCounts.get(pos);
long keyCount = (keyCountObj == null) ? -1 : keyCountObj.longValue();
long memory = 0;
if (useHybridGraceHashJoin) {
if (mapJoinTables.length > 2) {
memory = tableMemorySizes.get(pos);
} else {
// binary join
memory = totalMapJoinMemory;
}
}
MapJoinTableContainer tableContainer;
if (useOptimizedTables) {
if (!useHybridGraceHashJoin || isCrossProduct) {
tableContainer = new MapJoinBytesTableContainer(hconf, valCtx, keyCount, 0);
} else {
tableContainer = new HybridHashTableContainer(hconf, keyCount, memory, desc.getParentDataSizes().get(pos), nwayConf);
}
} else {
tableContainer = new HashMapWrapper(hconf, keyCount);
}
LOG.info("Using tableContainer " + tableContainer.getClass().getSimpleName());
tableContainer.setSerde(keyCtx, valCtx);
while (kvReader.next()) {
tableContainer.putRow((Writable) kvReader.getCurrentKey(), (Writable) kvReader.getCurrentValue());
}
tableContainer.seal();
LOG.info("Finished loading hashtable using " + tableContainer.getClass() + ". Small table position: " + pos);
mapJoinTables[pos] = tableContainer;
} catch (Exception e) {
throw new HiveException(e);
}
}
}
use of org.apache.tez.runtime.library.api.KeyValueReader in project hive by apache.
the class MapRecordProcessor method getKeyValueReader.
@SuppressWarnings("deprecation")
private KeyValueReader getKeyValueReader(Collection<KeyValueReader> keyValueReaders, AbstractMapOperator mapOp) throws Exception {
List<KeyValueReader> kvReaderList = new ArrayList<KeyValueReader>(keyValueReaders);
// this sets up the map operator contexts correctly
mapOp.initializeContexts();
Deserializer deserializer = mapOp.getCurrentDeserializer();
// deserializer is null in case of VectorMapOperator
KeyValueReader reader = new KeyValueInputMerger(kvReaderList, deserializer, new ObjectInspector[] { deserializer == null ? null : deserializer.getObjectInspector() }, mapOp.getConf().getSortCols());
return reader;
}
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