use of org.apache.hadoop.hive.ql.exec.MapOperator in project hive by apache.
the class SparkMapRecordHandler method init.
@Override
public <K, V> void init(JobConf job, OutputCollector<K, V> output, Reporter reporter) throws Exception {
perfLogger.perfLogBegin(CLASS_NAME, PerfLogger.SPARK_INIT_OPERATORS);
super.init(job, output, reporter);
try {
jc = job;
execContext = new ExecMapperContext(jc);
// create map and fetch operators
MapWork mrwork = Utilities.getMapWork(job);
for (PartitionDesc part : mrwork.getAliasToPartnInfo().values()) {
TableDesc tableDesc = part.getTableDesc();
Utilities.copyJobSecretToTableProperties(tableDesc);
}
CompilationOpContext runtimeCtx = new CompilationOpContext();
if (mrwork.getVectorMode()) {
mo = new VectorMapOperator(runtimeCtx);
} else {
mo = new MapOperator(runtimeCtx);
}
mo.setConf(mrwork);
// initialize map operator
mo.initialize(jc, null);
mo.setChildren(job);
LOG.info(mo.dump(0));
// initialize map local work
localWork = mrwork.getMapRedLocalWork();
execContext.setLocalWork(localWork);
MapredContext.init(true, new JobConf(jc));
MapredContext.get().setReporter(reporter);
mo.passExecContext(execContext);
mo.initializeLocalWork(jc);
mo.initializeMapOperator(jc);
mo.setReporter(rp);
if (localWork == null) {
return;
}
// The following code is for mapjoin
// initialize all the dummy ops
LOG.info("Initializing dummy operator");
List<Operator<? extends OperatorDesc>> dummyOps = localWork.getDummyParentOp();
for (Operator<? extends OperatorDesc> dummyOp : dummyOps) {
dummyOp.setExecContext(execContext);
dummyOp.initialize(jc, null);
}
} catch (Throwable e) {
abort = true;
if (e instanceof OutOfMemoryError) {
// Don't create a new object if we are already out of memory
throw (OutOfMemoryError) e;
} else {
throw new RuntimeException("Map operator initialization failed: " + e, e);
}
}
perfLogger.perfLogEnd(CLASS_NAME, PerfLogger.SPARK_INIT_OPERATORS);
}
use of org.apache.hadoop.hive.ql.exec.MapOperator in project hive by apache.
the class ExecMapper method configure.
@Override
public void configure(JobConf job) {
execContext = new ExecMapperContext(job);
Utilities.tryLoggingClassPaths(job, l4j);
setDone(false);
try {
jc = job;
execContext.setJc(jc);
// create map and fetch operators
MapWork mrwork = Utilities.getMapWork(job);
for (PartitionDesc part : mrwork.getAliasToPartnInfo().values()) {
TableDesc tableDesc = part.getTableDesc();
Utilities.copyJobSecretToTableProperties(tableDesc);
}
CompilationOpContext runtimeCtx = new CompilationOpContext();
if (mrwork.getVectorMode()) {
mo = new VectorMapOperator(runtimeCtx);
} else {
mo = new MapOperator(runtimeCtx);
}
mo.setConf(mrwork);
// initialize map operator
mo.initialize(job, null);
mo.setChildren(job);
l4j.info(mo.dump(0));
// initialize map local work
localWork = mrwork.getMapRedLocalWork();
execContext.setLocalWork(localWork);
MapredContext.init(true, new JobConf(jc));
mo.passExecContext(execContext);
mo.initializeLocalWork(jc);
mo.initializeMapOperator(jc);
if (localWork == null) {
return;
}
// The following code is for mapjoin
// initialize all the dummy ops
l4j.info("Initializing dummy operator");
List<Operator<? extends OperatorDesc>> dummyOps = localWork.getDummyParentOp();
for (Operator<? extends OperatorDesc> dummyOp : dummyOps) {
dummyOp.passExecContext(execContext);
dummyOp.initialize(jc, null);
}
} catch (Throwable e) {
abort = true;
if (e instanceof OutOfMemoryError) {
// Don't create a new object if we are already out of memory
throw (OutOfMemoryError) e;
} else {
throw new RuntimeException("Map operator initialization failed", e);
}
}
}
use of org.apache.hadoop.hive.ql.exec.MapOperator in project hive by apache.
the class MapRecordProcessor method init.
@Override
void init(MRTaskReporter mrReporter, Map<String, LogicalInput> inputs, Map<String, LogicalOutput> outputs) throws Exception {
perfLogger.perfLogBegin(CLASS_NAME, PerfLogger.TEZ_INIT_OPERATORS);
super.init(mrReporter, inputs, outputs);
checkAbortCondition();
String key = processorContext.getTaskVertexName() + MAP_PLAN_KEY;
cacheKeys.add(key);
// create map and fetch operators
if (!isInCompaction) {
mapWork = cache.retrieve(key, () -> Utilities.getMapWork(jconf));
} else {
// During query-based compaction, we don't want to retrieve old MapWork from the cache, we want a new mapper
// and new UDF validate_acid_sort_order instance for each bucket, otherwise validate_acid_sort_order will fail.
mapWork = Utilities.getMapWork(jconf);
}
// TODO HIVE-14042. Cleanup may be required if exiting early.
Utilities.setMapWork(jconf, mapWork);
for (PartitionDesc part : mapWork.getAliasToPartnInfo().values()) {
TableDesc tableDesc = part.getTableDesc();
Utilities.copyJobSecretToTableProperties(tableDesc);
}
String prefixes = jconf.get(DagUtils.TEZ_MERGE_WORK_FILE_PREFIXES);
if (prefixes != null) {
mergeWorkList = new ArrayList<>();
for (final String prefix : prefixes.split(",")) {
if (prefix == null || prefix.isEmpty()) {
continue;
}
key = processorContext.getTaskVertexName() + prefix;
cacheKeys.add(key);
checkAbortCondition();
mergeWorkList.add((MapWork) cache.retrieve(key, () -> Utilities.getMergeWork(jconf, prefix)));
}
}
MapredContext.init(true, new JobConf(jconf));
((TezContext) MapredContext.get()).setInputs(inputs);
((TezContext) MapredContext.get()).setTezProcessorContext(processorContext);
// Update JobConf using MRInput, info like filename comes via this
checkAbortCondition();
legacyMRInput = getMRInput(inputs);
if (legacyMRInput != null) {
Configuration updatedConf = legacyMRInput.getConfigUpdates();
if (updatedConf != null) {
for (Entry<String, String> entry : updatedConf) {
jconf.set(entry.getKey(), entry.getValue());
}
}
}
checkAbortCondition();
createOutputMap();
// Start all the Outputs.
for (Entry<String, LogicalOutput> outputEntry : outputs.entrySet()) {
LOG.debug("Starting Output: " + outputEntry.getKey());
outputEntry.getValue().start();
((TezKVOutputCollector) outMap.get(outputEntry.getKey())).initialize();
}
checkAbortCondition();
try {
CompilationOpContext runtimeCtx = new CompilationOpContext();
if (mapWork.getVectorMode()) {
mapOp = new VectorMapOperator(runtimeCtx);
} else {
mapOp = new MapOperator(runtimeCtx);
}
// Not synchronizing creation of mapOp with an invocation. Check immediately
// after creation in case abort has been set.
// Relying on the regular flow to clean up the actual operator. i.e. If an exception is
// thrown, an attempt will be made to cleanup the op.
// If we are here - exit out via an exception. If we're in the middle of the opeartor.initialize
// call further down, we rely upon op.abort().
checkAbortCondition();
mapOp.clearConnectedOperators();
mapOp.setExecContext(execContext);
boolean fromCache = false;
if (mergeWorkList != null) {
AbstractMapOperator mergeMapOp = null;
for (BaseWork mergeWork : mergeWorkList) {
// TODO HIVE-14042. What is mergeWork, and why is it not part of the regular operator chain.
// The mergeMapOp.initialize call further down can block, and will not receive information
// about an abort request.
MapWork mergeMapWork = (MapWork) mergeWork;
if (mergeMapWork.getVectorMode()) {
mergeMapOp = new VectorMapOperator(runtimeCtx);
} else {
mergeMapOp = new MapOperator(runtimeCtx);
}
mergeMapOpList.add(mergeMapOp);
// initialize the merge operators first.
if (mergeMapOp != null) {
mergeMapOp.setConf(mergeMapWork);
LOG.info("Input name is {}", mergeMapWork.getName());
jconf.set(Utilities.INPUT_NAME, mergeMapWork.getName());
mergeMapOp.initialize(jconf, null);
// if there are no files/partitions to read, we need to skip trying to read
MultiMRInput multiMRInput = multiMRInputMap.get(mergeMapWork.getName());
boolean skipRead = false;
if (multiMRInput == null) {
LOG.info("Multi MR Input for work {} is null. Skipping read.", mergeMapWork.getName());
skipRead = true;
} else {
Collection<KeyValueReader> keyValueReaders = multiMRInput.getKeyValueReaders();
if ((keyValueReaders == null) || (keyValueReaders.isEmpty())) {
LOG.info("Key value readers are null or empty and hence skipping read. " + "KeyValueReaders = {}", keyValueReaders);
skipRead = true;
}
}
if (skipRead) {
List<Operator<?>> children = new ArrayList<>();
children.addAll(mergeMapOp.getConf().getAliasToWork().values());
// do the same thing as setChildren when there is nothing to read.
// the setChildren method initializes the object inspector needed by the operators
// based on path and partition information which we don't have in this case.
mergeMapOp.initEmptyInputChildren(children, jconf);
} else {
// the setChildren method initializes the object inspector needed by the operators
// based on path and partition information.
mergeMapOp.setChildren(jconf);
}
Operator<? extends OperatorDesc> finalOp = getFinalOp(mergeMapOp);
if (finalOp instanceof TezDummyStoreOperator) {
// we ensure that we don't try to read any data in case of skip read.
((TezDummyStoreOperator) finalOp).setFetchDone(skipRead);
mapOp.setConnectedOperators(mergeMapWork.getTag(), (DummyStoreOperator) finalOp);
} else {
// found the plan is already connected which means this is derived from the cache.
fromCache = true;
}
mergeMapOp.passExecContext(new ExecMapperContext(jconf));
mergeMapOp.initializeLocalWork(jconf);
}
}
}
if (!fromCache) {
// if not from cache, we still need to hook up the plans.
((TezContext) (MapredContext.get())).setDummyOpsMap(mapOp.getConnectedOperators());
}
// initialize map operator
mapOp.setConf(mapWork);
LOG.info("Main input name is " + mapWork.getName());
jconf.set(Utilities.INPUT_NAME, mapWork.getName());
mapOp.initialize(jconf, null);
checkAbortCondition();
mapOp.setChildren(jconf);
mapOp.passExecContext(execContext);
LOG.info(mapOp.dump(0));
// set memory available for operators
long memoryAvailableToTask = processorContext.getTotalMemoryAvailableToTask();
if (mapOp.getConf() != null) {
mapOp.getConf().setMaxMemoryAvailable(memoryAvailableToTask);
LOG.info("Memory available for operators set to {}", LlapUtil.humanReadableByteCount(memoryAvailableToTask));
}
OperatorUtils.setMemoryAvailable(mapOp.getChildOperators(), memoryAvailableToTask);
mapOp.initializeLocalWork(jconf);
// Setup values registry
checkAbortCondition();
String valueRegistryKey = DynamicValue.DYNAMIC_VALUE_REGISTRY_CACHE_KEY;
// On LLAP dynamic value registry might already be cached.
final DynamicValueRegistryTez registryTez = dynamicValueCache.retrieve(valueRegistryKey, () -> new DynamicValueRegistryTez());
dynamicValueCacheKeys.add(valueRegistryKey);
RegistryConfTez registryConf = new RegistryConfTez(jconf, mapWork, processorContext, inputs);
registryTez.init(registryConf);
checkAbortCondition();
initializeMapRecordSources();
mapOp.initializeMapOperator(jconf);
if ((mergeMapOpList != null) && !mergeMapOpList.isEmpty()) {
for (AbstractMapOperator mergeMapOp : mergeMapOpList) {
jconf.set(Utilities.INPUT_NAME, mergeMapOp.getConf().getName());
// TODO HIVE-14042. abort handling: Handling of mergeMapOp
mergeMapOp.initializeMapOperator(jconf);
}
}
// Initialization isn't finished until all parents of all operators
// are initialized. For broadcast joins that means initializing the
// dummy parent operators as well.
List<HashTableDummyOperator> dummyOps = mapWork.getDummyOps();
jconf.set(Utilities.INPUT_NAME, mapWork.getName());
if (dummyOps != null) {
for (Operator<? extends OperatorDesc> dummyOp : dummyOps) {
dummyOp.setExecContext(execContext);
// TODO HIVE-14042. Handling of dummyOps, and propagating abort information to them
dummyOp.initialize(jconf, null);
}
}
OperatorUtils.setChildrenCollector(mapOp.getChildOperators(), outMap);
mapOp.setReporter(reporter);
MapredContext.get().setReporter(reporter);
} catch (Throwable e) {
setAborted(true);
if (e instanceof OutOfMemoryError) {
// Don't create a new object if we are already out of memory
throw (OutOfMemoryError) e;
} else if (e instanceof InterruptedException) {
LOG.info("Hit an interrupt while initializing MapRecordProcessor. Message={}", e.getMessage());
throw (InterruptedException) e;
} else {
throw new RuntimeException("Map operator initialization failed", e);
}
}
perfLogger.perfLogEnd(CLASS_NAME, PerfLogger.TEZ_INIT_OPERATORS);
}
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