private void setupSortMemoryAllocations(final PhysicalPlan plan) {
// look for external sorts
final List<ExternalSort> sortList = new LinkedList<>();
for (final PhysicalOperator op : plan.getSortedOperators()) {
if (op instanceof ExternalSort) {
sortList.add((ExternalSort) op);
}
}
// if there are any sorts, compute the maximum allocation, and set it on them
if (sortList.size() > 0) {
final OptionManager optionManager = queryContext.getOptions();
final long maxWidthPerNode =
optionManager.getOption(ExecConstants.MAX_WIDTH_PER_NODE_KEY).num_val;
long maxAllocPerNode =
Math.min(
DrillConfig.getMaxDirectMemory(),
queryContext.getConfig().getLong(ExecConstants.TOP_LEVEL_MAX_ALLOC));
maxAllocPerNode =
Math.min(
maxAllocPerNode,
optionManager.getOption(ExecConstants.MAX_QUERY_MEMORY_PER_NODE_KEY).num_val);
final long maxSortAlloc = maxAllocPerNode / (sortList.size() * maxWidthPerNode);
logger.debug("Max sort alloc: {}", maxSortAlloc);
for (final ExternalSort externalSort : sortList) {
externalSort.setMaxAllocation(maxSortAlloc);
}
}
}
/**
* Given a relNode tree for SELECT statement, convert to Drill Logical RelNode tree.
*
* @param relNode
* @return
* @throws SqlUnsupportedException
* @throws RelConversionException
*/
protected DrillRel convertToDrel(RelNode relNode)
throws SqlUnsupportedException, RelConversionException {
try {
final DrillRel convertedRelNode;
if (!context.getPlannerSettings().isHepJoinOptEnabled()) {
convertedRelNode = (DrillRel) logicalPlanningVolcano(relNode);
} else {
convertedRelNode = (DrillRel) logicalPlanningVolcanoAndLopt(relNode);
}
if (convertedRelNode instanceof DrillStoreRel) {
throw new UnsupportedOperationException();
} else {
// If the query contains a limit 0 clause, disable distributed mode since it is overkill for
// determining schema.
if (FindLimit0Visitor.containsLimit0(convertedRelNode)) {
context.getPlannerSettings().forceSingleMode();
}
return convertedRelNode;
}
} catch (RelOptPlanner.CannotPlanException ex) {
logger.error(ex.getMessage());
if (JoinUtils.checkCartesianJoin(
relNode, new ArrayList<Integer>(), new ArrayList<Integer>())) {
throw new UnsupportedRelOperatorException(
"This query cannot be planned possibly due to either a cartesian join or an inequality join");
} else {
throw ex;
}
}
}
private void parseAndRunLogicalPlan(String json) {
try {
LogicalPlan logicalPlan = context.getPlanReader().readLogicalPlan(json);
if (logicalPlan.getProperties().resultMode == ResultMode.LOGICAL) {
fail(
"Failure running plan. You requested a result mode of LOGICAL and submitted a logical plan. In this case you're output mode must be PHYSICAL or EXEC.",
new Exception());
}
if (logger.isDebugEnabled())
logger.debug("Logical {}", logicalPlan.unparse(context.getConfig()));
PhysicalPlan physicalPlan = convert(logicalPlan);
if (logicalPlan.getProperties().resultMode == ResultMode.PHYSICAL) {
returnPhysical(physicalPlan);
return;
}
if (logger.isDebugEnabled())
logger.debug(
"Physical {}", context.getConfig().getMapper().writeValueAsString(physicalPlan));
runPhysicalPlan(physicalPlan);
} catch (IOException e) {
fail("Failure while parsing logical plan.", e);
} catch (OptimizerException e) {
fail("Failure while converting logical plan to physical plan.", e);
}
}
private QueryWorkUnit getQueryWorkUnit(final PhysicalPlan plan) throws ExecutionSetupException {
final PhysicalOperator rootOperator = plan.getSortedOperators(false).iterator().next();
final Fragment rootFragment = rootOperator.accept(MakeFragmentsVisitor.INSTANCE, null);
final SimpleParallelizer parallelizer = new SimpleParallelizer(queryContext);
final QueryWorkUnit queryWorkUnit =
parallelizer.getFragments(
queryContext.getOptions().getOptionList(),
queryContext.getCurrentEndpoint(),
queryId,
queryContext.getActiveEndpoints(),
drillbitContext.getPlanReader(),
rootFragment,
initiatingClient.getSession(),
queryContext.getQueryContextInfo());
if (logger.isTraceEnabled()) {
final StringBuilder sb = new StringBuilder();
sb.append("PlanFragments for query ");
sb.append(queryId);
sb.append('\n');
final List<PlanFragment> planFragments = queryWorkUnit.getFragments();
final int fragmentCount = planFragments.size();
int fragmentIndex = 0;
for (final PlanFragment planFragment : planFragments) {
final FragmentHandle fragmentHandle = planFragment.getHandle();
sb.append("PlanFragment(");
sb.append(++fragmentIndex);
sb.append('/');
sb.append(fragmentCount);
sb.append(") major_fragment_id ");
sb.append(fragmentHandle.getMajorFragmentId());
sb.append(" minor_fragment_id ");
sb.append(fragmentHandle.getMinorFragmentId());
sb.append('\n');
final DrillbitEndpoint endpointAssignment = planFragment.getAssignment();
sb.append(" DrillbitEndpoint address ");
sb.append(endpointAssignment.getAddress());
sb.append('\n');
String jsonString = "<<malformed JSON>>";
sb.append(" fragment_json: ");
final ObjectMapper objectMapper = new ObjectMapper();
try {
final Object json = objectMapper.readValue(planFragment.getFragmentJson(), Object.class);
jsonString = objectMapper.defaultPrettyPrintingWriter().writeValueAsString(json);
} catch (final Exception e) {
// we've already set jsonString to a fallback value
}
sb.append(jsonString);
logger.trace(sb.toString());
}
}
return queryWorkUnit;
}
protected void log(final String name, final PhysicalPlan plan, final Logger logger)
throws JsonProcessingException {
if (logger.isDebugEnabled()) {
String planText = plan.unparse(context.getConfig().getMapper().writer());
logger.debug(name + " : \n" + planText);
}
}
private PhysicalPlan convert(final LogicalPlan plan) throws OptimizerException {
if (logger.isDebugEnabled()) {
logger.debug("Converting logical plan {}.", plan.toJsonStringSafe(queryContext.getConfig()));
}
return new BasicOptimizer(queryContext, initiatingClient)
.optimize(new BasicOptimizer.BasicOptimizationContext(queryContext), plan);
}
/**
* Set up the root fragment (which will run locally), and submit it for execution.
*
* @param rootFragment
* @param rootOperator
* @throws ExecutionSetupException
*/
private void setupRootFragment(final PlanFragment rootFragment, final FragmentRoot rootOperator)
throws ExecutionSetupException {
@SuppressWarnings("resource")
final FragmentContext rootContext =
new FragmentContext(
drillbitContext,
rootFragment,
queryContext,
initiatingClient,
drillbitContext.getFunctionImplementationRegistry());
@SuppressWarnings("resource")
final IncomingBuffers buffers = new IncomingBuffers(rootFragment, rootContext);
rootContext.setBuffers(buffers);
queryManager.addFragmentStatusTracker(rootFragment, true);
final ControlTunnel tunnel =
drillbitContext.getController().getTunnel(queryContext.getCurrentEndpoint());
final FragmentExecutor rootRunner =
new FragmentExecutor(
rootContext,
rootFragment,
new FragmentStatusReporter(rootContext, tunnel),
rootOperator);
final RootFragmentManager fragmentManager =
new RootFragmentManager(rootFragment.getHandle(), buffers, rootRunner);
if (buffers.isDone()) {
// if we don't have to wait for any incoming data, start the fragment runner.
bee.addFragmentRunner(fragmentManager.getRunnable());
} else {
// if we do, record the fragment manager in the workBus.
drillbitContext.getWorkBus().addFragmentManager(fragmentManager);
}
}
/**
* Resume the query. Regardless of the current state, this method sends a resume signal to all
* fragments. This method can be called multiple times.
*/
public void resume() {
resume = true;
// resume all pauses through query context
queryContext.getExecutionControls().unpauseAll();
// resume all pauses through all fragment contexts
queryManager.unpauseExecutingFragments(drillbitContext);
}
private void parseAndRunPhysicalPlan(String json) {
try {
PhysicalPlan plan = context.getPlanReader().readPhysicalPlan(json);
runPhysicalPlan(plan);
} catch (IOException e) {
fail("Failure while parsing physical plan.", e);
}
}
public DefaultSqlHandler(SqlHandlerConfig config, Pointer<String> textPlan) {
super();
this.planner = config.getPlanner();
this.context = config.getContext();
this.hepPlanner = config.getHepPlanner();
this.config = config;
this.textPlan = textPlan;
targetSliceSize = context.getOptions().getOption(ExecConstants.SLICE_TARGET).num_val;
}
protected PhysicalPlan convertToPlan(PhysicalOperator op) {
PlanPropertiesBuilder propsBuilder = PlanProperties.builder();
propsBuilder.type(PlanType.APACHE_DRILL_PHYSICAL);
propsBuilder.version(1);
propsBuilder.options(new JSONOptions(context.getOptions().getOptionList()));
propsBuilder.resultMode(ResultMode.EXEC);
propsBuilder.generator(this.getClass().getSimpleName(), "");
return new PhysicalPlan(propsBuilder.build(), getPops(op));
}
private void log(final PhysicalPlan plan) {
if (logger.isDebugEnabled()) {
try {
final String planText = queryContext.getConfig().getMapper().writeValueAsString(plan);
logger.debug("Physical {}", planText);
} catch (final IOException e) {
logger.warn("Error while attempting to log physical plan.", e);
}
}
}
public SimpleParallelizer(QueryContext context) {
OptionManager optionManager = context.getOptions();
long sliceTarget = optionManager.getOption(ExecConstants.SLICE_TARGET).num_val;
this.parallelizationThreshold = sliceTarget > 0 ? sliceTarget : 1;
this.maxWidthPerNode =
optionManager.getOption(ExecConstants.MAX_WIDTH_PER_NODE_KEY).num_val.intValue();
this.maxGlobalWidth =
optionManager.getOption(ExecConstants.MAX_WIDTH_GLOBAL_KEY).num_val.intValue();
this.affinityFactor =
optionManager.getOption(ExecConstants.AFFINITY_FACTOR_KEY).float_val.intValue();
}
private void fail(String message, Throwable t) {
if (isFinished()) {
logger.error("Received a failure message query finished of: {}", message, t);
}
DrillPBError error =
ErrorHelper.logAndConvertError(context.getCurrentEndpoint(), message, t, logger);
QueryResult result =
QueryResult //
.newBuilder() //
.addError(error) //
.setIsLastChunk(true) //
.setQueryState(QueryState.FAILED) //
.setQueryId(queryId) //
.build();
cleanupAndSendResult(result);
}
/**
* This limits the number of "small" and "large" queries that a Drill cluster will run
* simultaneously, if queueing is enabled. If the query is unable to run, this will block until it
* can. Beware that this is called under run(), and so will consume a Thread while it waits for
* the required distributed semaphore.
*
* @param plan the query plan
* @throws ForemanSetupException
*/
private void acquireQuerySemaphore(final PhysicalPlan plan) throws ForemanSetupException {
final OptionManager optionManager = queryContext.getOptions();
final boolean queuingEnabled = optionManager.getOption(ExecConstants.ENABLE_QUEUE);
if (queuingEnabled) {
final long queueThreshold = optionManager.getOption(ExecConstants.QUEUE_THRESHOLD_SIZE);
double totalCost = 0;
for (final PhysicalOperator ops : plan.getSortedOperators()) {
totalCost += ops.getCost();
}
final long queueTimeout = optionManager.getOption(ExecConstants.QUEUE_TIMEOUT);
final String queueName;
try {
@SuppressWarnings("resource")
final ClusterCoordinator clusterCoordinator = drillbitContext.getClusterCoordinator();
final DistributedSemaphore distributedSemaphore;
// get the appropriate semaphore
if (totalCost > queueThreshold) {
final int largeQueue = (int) optionManager.getOption(ExecConstants.LARGE_QUEUE_SIZE);
distributedSemaphore = clusterCoordinator.getSemaphore("query.large", largeQueue);
queueName = "large";
} else {
final int smallQueue = (int) optionManager.getOption(ExecConstants.SMALL_QUEUE_SIZE);
distributedSemaphore = clusterCoordinator.getSemaphore("query.small", smallQueue);
queueName = "small";
}
lease = distributedSemaphore.acquire(queueTimeout, TimeUnit.MILLISECONDS);
} catch (final Exception e) {
throw new ForemanSetupException("Unable to acquire slot for query.", e);
}
if (lease == null) {
throw UserException.resourceError()
.message(
"Unable to acquire queue resources for query within timeout. Timeout for %s queue was set at %d seconds.",
queueName, queueTimeout / 1000)
.build(logger);
}
}
}
private RelNode preprocessNode(RelNode rel) throws SqlUnsupportedException {
/*
* Traverse the tree to do the following pre-processing tasks: 1. replace the convert_from, convert_to function to
* actual implementations Eg: convert_from(EXPR, 'JSON') be converted to convert_fromjson(EXPR); TODO: Ideally all
* function rewrites would move here instead of DrillOptiq.
*
* 2. see where the tree contains unsupported functions; throw SqlUnsupportedException if there is any.
*/
PreProcessLogicalRel visitor =
PreProcessLogicalRel.createVisitor(
planner.getTypeFactory(), context.getDrillOperatorTable());
try {
rel = rel.accept(visitor);
} catch (UnsupportedOperationException ex) {
visitor.convertException();
throw ex;
}
return rel;
}
private void runPhysicalPlan(PhysicalPlan plan) {
if (plan.getProperties().resultMode != ResultMode.EXEC) {
fail(
String.format(
"Failure running plan. You requested a result mode of %s and a physical plan can only be output as EXEC",
plan.getProperties().resultMode),
new Exception());
}
PhysicalOperator rootOperator = plan.getSortedOperators(false).iterator().next();
MakeFragmentsVisitor makeFragmentsVisitor = new MakeFragmentsVisitor();
Fragment rootFragment;
try {
rootFragment = rootOperator.accept(makeFragmentsVisitor, null);
} catch (FragmentSetupException e) {
fail("Failure while fragmenting query.", e);
return;
}
PlanningSet planningSet = StatsCollector.collectStats(rootFragment);
SimpleParallelizer parallelizer = new SimpleParallelizer();
try {
QueryWorkUnit work =
parallelizer.getFragments(
context.getCurrentEndpoint(),
queryId,
context.getActiveEndpoints(),
context.getPlanReader(),
rootFragment,
planningSet,
context.getConfig().getInt(ExecConstants.GLOBAL_MAX_WIDTH),
context.getConfig().getInt(ExecConstants.MAX_WIDTH_PER_ENDPOINT));
this.context
.getWorkBus()
.setFragmentStatusListener(
work.getRootFragment().getHandle().getQueryId(), fragmentManager);
List<PlanFragment> leafFragments = Lists.newArrayList();
List<PlanFragment> intermediateFragments = Lists.newArrayList();
// store fragments in distributed grid.
logger.debug("Storing fragments");
for (PlanFragment f : work.getFragments()) {
// store all fragments in grid since they are part of handshake.
context.getCache().storeFragment(f);
if (f.getLeafFragment()) {
leafFragments.add(f);
} else {
intermediateFragments.add(f);
}
}
logger.debug("Fragments stored.");
logger.debug("Submitting fragments to run.");
fragmentManager.runFragments(
bee,
work.getRootFragment(),
work.getRootOperator(),
initiatingClient,
leafFragments,
intermediateFragments);
logger.debug("Fragments running.");
} catch (ExecutionSetupException | RpcException e) {
fail("Failure while setting up query.", e);
}
}
private PhysicalPlan convert(LogicalPlan plan) throws OptimizerException {
if (logger.isDebugEnabled())
logger.debug("Converting logical plan {}.", plan.toJsonStringSafe(context.getConfig()));
return new BasicOptimizer(DrillConfig.create(), context)
.optimize(new BasicOptimizer.BasicOptimizationContext(), plan);
}
private void returnPhysical(PhysicalPlan plan) {
String jsonPlan = plan.unparse(context.getConfig().getMapper().writer());
runPhysicalPlan(DirectPlan.createDirectPlan(context, new PhysicalFromLogicalExplain(jsonPlan)));
}
protected Prel convertToPrel(RelNode drel)
throws RelConversionException, SqlUnsupportedException {
Preconditions.checkArgument(drel.getConvention() == DrillRel.DRILL_LOGICAL);
RelTraitSet traits =
drel.getTraitSet().plus(Prel.DRILL_PHYSICAL).plus(DrillDistributionTrait.SINGLETON);
Prel phyRelNode;
try {
final RelNode relNode = planner.transform(DrillSqlWorker.PHYSICAL_MEM_RULES, traits, drel);
phyRelNode = (Prel) relNode.accept(new PrelFinalizer());
} catch (RelOptPlanner.CannotPlanException ex) {
logger.error(ex.getMessage());
if (JoinUtils.checkCartesianJoin(drel, new ArrayList<Integer>(), new ArrayList<Integer>())) {
throw new UnsupportedRelOperatorException(
"This query cannot be planned possibly due to either a cartesian join or an inequality join");
} else {
throw ex;
}
}
OptionManager queryOptions = context.getOptions();
if (context.getPlannerSettings().isMemoryEstimationEnabled()
&& !MemoryEstimationVisitor.enoughMemory(
phyRelNode, queryOptions, context.getActiveEndpoints().size())) {
log("Not enough memory for this plan", phyRelNode, logger);
logger.debug("Re-planning without hash operations.");
queryOptions.setOption(
OptionValue.createBoolean(
OptionValue.OptionType.QUERY, PlannerSettings.HASHJOIN.getOptionName(), false));
queryOptions.setOption(
OptionValue.createBoolean(
OptionValue.OptionType.QUERY, PlannerSettings.HASHAGG.getOptionName(), false));
try {
final RelNode relNode = planner.transform(DrillSqlWorker.PHYSICAL_MEM_RULES, traits, drel);
phyRelNode = (Prel) relNode.accept(new PrelFinalizer());
} catch (RelOptPlanner.CannotPlanException ex) {
logger.error(ex.getMessage());
if (JoinUtils.checkCartesianJoin(
drel, new ArrayList<Integer>(), new ArrayList<Integer>())) {
throw new UnsupportedRelOperatorException(
"This query cannot be planned possibly due to either a cartesian join or an inequality join");
} else {
throw ex;
}
}
}
/* The order of the following transformation is important */
/*
* 0.) For select * from join query, we need insert project on top of scan and a top project just
* under screen operator. The project on top of scan will rename from * to T1*, while the top project
* will rename T1* to *, before it output the final result. Only the top project will allow
* duplicate columns, since user could "explicitly" ask for duplicate columns ( select *, col, *).
* The rest of projects will remove the duplicate column when we generate POP in json format.
*/
phyRelNode = StarColumnConverter.insertRenameProject(phyRelNode);
/*
* 1.)
* Join might cause naming conflicts from its left and right child.
* In such case, we have to insert Project to rename the conflicting names.
*/
phyRelNode = JoinPrelRenameVisitor.insertRenameProject(phyRelNode);
/*
* 1.1) Swap left / right for INNER hash join, if left's row count is < (1 + margin) right's row count.
* We want to have smaller dataset on the right side, since hash table builds on right side.
*/
if (context.getPlannerSettings().isHashJoinSwapEnabled()) {
phyRelNode =
SwapHashJoinVisitor.swapHashJoin(
phyRelNode, new Double(context.getPlannerSettings().getHashJoinSwapMarginFactor()));
}
/*
* 1.2) Break up all expressions with complex outputs into their own project operations
*/
phyRelNode =
((Prel) phyRelNode)
.accept(
new SplitUpComplexExpressions(
planner.getTypeFactory(),
context.getDrillOperatorTable(),
context.getPlannerSettings().functionImplementationRegistry),
null);
/*
* 1.3) Projections that contain reference to flatten are rewritten as Flatten operators followed by Project
*/
phyRelNode =
((Prel) phyRelNode)
.accept(
new RewriteProjectToFlatten(
planner.getTypeFactory(), context.getDrillOperatorTable()),
null);
/*
* 2.)
* Since our operators work via names rather than indices, we have to make to reorder any
* output before we return data to the user as we may have accidentally shuffled things.
* This adds a trivial project to reorder columns prior to output.
*/
phyRelNode = FinalColumnReorderer.addFinalColumnOrdering(phyRelNode);
/*
* 3.)
* If two fragments are both estimated to be parallelization one, remove the exchange
* separating them
*/
phyRelNode = ExcessiveExchangeIdentifier.removeExcessiveEchanges(phyRelNode, targetSliceSize);
/* 4.)
* Add ProducerConsumer after each scan if the option is set
* Use the configured queueSize
*/
/* DRILL-1617 Disabling ProducerConsumer as it produces incorrect results
if (context.getOptions().getOption(PlannerSettings.PRODUCER_CONSUMER.getOptionName()).bool_val) {
long queueSize = context.getOptions().getOption(PlannerSettings.PRODUCER_CONSUMER_QUEUE_SIZE.getOptionName()).num_val;
phyRelNode = ProducerConsumerPrelVisitor.addProducerConsumerToScans(phyRelNode, (int) queueSize);
}
*/
/* 5.)
* if the client does not support complex types (Map, Repeated)
* insert a project which which would convert
*/
if (!context.getSession().isSupportComplexTypes()) {
logger.debug("Client does not support complex types, add ComplexToJson operator.");
phyRelNode = ComplexToJsonPrelVisitor.addComplexToJsonPrel(phyRelNode);
}
/* 6.)
* Insert LocalExchange (mux and/or demux) nodes
*/
phyRelNode = InsertLocalExchangeVisitor.insertLocalExchanges(phyRelNode, queryOptions);
/* 7.)
* Next, we add any required selection vector removers given the supported encodings of each
* operator. This will ultimately move to a new trait but we're managing here for now to avoid
* introducing new issues in planning before the next release
*/
phyRelNode = SelectionVectorPrelVisitor.addSelectionRemoversWhereNecessary(phyRelNode);
/* 8.)
* Finally, Make sure that the no rels are repeats.
* This could happen in the case of querying the same table twice as Optiq may canonicalize these.
*/
phyRelNode = RelUniqifier.uniqifyGraph(phyRelNode);
return phyRelNode;
}
private void returnPhysical(final PhysicalPlan plan) throws ExecutionSetupException {
final String jsonPlan = plan.unparse(queryContext.getConfig().getMapper().writer());
runPhysicalPlan(
DirectPlan.createDirectPlan(queryContext, new PhysicalFromLogicalExplain(jsonPlan)));
}
/**
* Set up the non-root fragments for execution. Some may be local, and some may be remote.
* Messages are sent immediately, so they may start returning data even before we complete this.
*
* @param fragments the fragments
* @throws ForemanException
*/
private void setupNonRootFragments(final Collection<PlanFragment> fragments)
throws ForemanException {
/*
* We will send a single message to each endpoint, regardless of how many fragments will be
* executed there. We need to start up the intermediate fragments first so that they will be
* ready once the leaf fragments start producing data. To satisfy both of these, we will
* make a pass through the fragments and put them into these two maps according to their
* leaf/intermediate state, as well as their target drillbit.
*/
final Multimap<DrillbitEndpoint, PlanFragment> leafFragmentMap = ArrayListMultimap.create();
final Multimap<DrillbitEndpoint, PlanFragment> intFragmentMap = ArrayListMultimap.create();
// record all fragments for status purposes.
for (final PlanFragment planFragment : fragments) {
logger.trace(
"Tracking intermediate remote node {} with data {}",
planFragment.getAssignment(),
planFragment.getFragmentJson());
queryManager.addFragmentStatusTracker(planFragment, false);
if (planFragment.getLeafFragment()) {
leafFragmentMap.put(planFragment.getAssignment(), planFragment);
} else {
intFragmentMap.put(planFragment.getAssignment(), planFragment);
}
}
/*
* We need to wait for the intermediates to be sent so that they'll be set up by the time
* the leaves start producing data. We'll use this latch to wait for the responses.
*
* However, in order not to hang the process if any of the RPC requests fails, we always
* count down (see FragmentSubmitFailures), but we count the number of failures so that we'll
* know if any submissions did fail.
*/
final int numIntFragments = intFragmentMap.keySet().size();
final ExtendedLatch endpointLatch = new ExtendedLatch(numIntFragments);
final FragmentSubmitFailures fragmentSubmitFailures = new FragmentSubmitFailures();
// send remote intermediate fragments
for (final DrillbitEndpoint ep : intFragmentMap.keySet()) {
sendRemoteFragments(ep, intFragmentMap.get(ep), endpointLatch, fragmentSubmitFailures);
}
final long timeout = RPC_WAIT_IN_MSECS_PER_FRAGMENT * numIntFragments;
if (numIntFragments > 0 && !endpointLatch.awaitUninterruptibly(timeout)) {
long numberRemaining = endpointLatch.getCount();
throw UserException.connectionError()
.message(
"Exceeded timeout (%d) while waiting send intermediate work fragments to remote nodes. "
+ "Sent %d and only heard response back from %d nodes.",
timeout, numIntFragments, numIntFragments - numberRemaining)
.build(logger);
}
// if any of the intermediate fragment submissions failed, fail the query
final List<FragmentSubmitFailures.SubmissionException> submissionExceptions =
fragmentSubmitFailures.submissionExceptions;
if (submissionExceptions.size() > 0) {
Set<DrillbitEndpoint> endpoints = Sets.newHashSet();
StringBuilder sb = new StringBuilder();
boolean first = true;
for (FragmentSubmitFailures.SubmissionException e :
fragmentSubmitFailures.submissionExceptions) {
DrillbitEndpoint endpoint = e.drillbitEndpoint;
if (endpoints.add(endpoint)) {
if (first) {
first = false;
} else {
sb.append(", ");
}
sb.append(endpoint.getAddress());
}
}
throw UserException.connectionError(submissionExceptions.get(0).rpcException)
.message("Error setting up remote intermediate fragment execution")
.addContext("Nodes with failures", sb.toString())
.build(logger);
}
injector.injectChecked(
queryContext.getExecutionControls(), "send-fragments", ForemanException.class);
/*
* Send the remote (leaf) fragments; we don't wait for these. Any problems will come in through
* the regular sendListener event delivery.
*/
for (final DrillbitEndpoint ep : leafFragmentMap.keySet()) {
sendRemoteFragments(ep, leafFragmentMap.get(ep), null, null);
}
}
private void log(final LogicalPlan plan) {
if (logger.isDebugEnabled()) {
logger.debug("Logical {}", plan.unparse(queryContext.getConfig()));
}
}
/**
* Called by execution pool to do query setup, and kick off remote execution.
*
* <p>Note that completion of this function is not the end of the Foreman's role in the query's
* lifecycle.
*/
@Override
public void run() {
// rename the thread we're using for debugging purposes
final Thread currentThread = Thread.currentThread();
final String originalName = currentThread.getName();
currentThread.setName(QueryIdHelper.getQueryId(queryId) + ":foreman");
// track how long the query takes
queryManager.markStartTime();
try {
injector.injectChecked(
queryContext.getExecutionControls(), "run-try-beginning", ForemanException.class);
queryText = queryRequest.getPlan();
// convert a run query request into action
switch (queryRequest.getType()) {
case LOGICAL:
parseAndRunLogicalPlan(queryRequest.getPlan());
break;
case PHYSICAL:
parseAndRunPhysicalPlan(queryRequest.getPlan());
break;
case SQL:
runSQL(queryRequest.getPlan());
break;
default:
throw new IllegalStateException();
}
injector.injectChecked(
queryContext.getExecutionControls(), "run-try-end", ForemanException.class);
} catch (final OutOfMemoryException | OutOfMemoryRuntimeException e) {
moveToState(QueryState.FAILED, UserException.memoryError(e).build(logger));
} catch (final ForemanException e) {
moveToState(QueryState.FAILED, e);
} catch (AssertionError | Exception ex) {
moveToState(
QueryState.FAILED,
new ForemanException(
"Unexpected exception during fragment initialization: " + ex.getMessage(), ex));
} catch (final OutOfMemoryError e) {
if ("Direct buffer memory".equals(e.getMessage())) {
moveToState(
QueryState.FAILED,
UserException.resourceError(e)
.message("One or more nodes ran out of memory while executing the query.")
.build(logger));
} else {
/*
* FragmentExecutors use a DrillbitStatusListener to watch out for the death of their query's Foreman. So, if we
* die here, they should get notified about that, and cancel themselves; we don't have to attempt to notify
* them, which might not work under these conditions.
*/
System.out.println("Node ran out of Heap memory, exiting.");
e.printStackTrace();
System.out.flush();
System.exit(-1);
}
} finally {
/*
* Begin accepting external events.
*
* Doing this here in the finally clause will guarantee that it occurs. Otherwise, if there
* is an exception anywhere during setup, it wouldn't occur, and any events that are generated
* as a result of any partial setup that was done (such as the FragmentSubmitListener,
* the ResponseSendListener, or an external call to cancel()), will hang the thread that makes the
* event delivery call.
*
* If we do throw an exception during setup, and have already moved to QueryState.FAILED, we just need to
* make sure that we can't make things any worse as those events are delivered, but allow
* any necessary remaining cleanup to proceed.
*
* Note that cancellations cannot be simulated before this point, i.e. pauses can be injected, because Foreman
* would wait on the cancelling thread to signal a resume and the cancelling thread would wait on the Foreman
* to accept events.
*/
acceptExternalEvents.countDown();
// If we received the resume signal before fragments are setup, the first call does not
// actually resume the
// fragments. Since setup is done, all fragments must have been delivered to remote nodes. Now
// we can resume.
if (resume) {
resume();
}
injector.injectPause(queryContext.getExecutionControls(), "foreman-ready", logger);
// restore the thread's original name
currentThread.setName(originalName);
}
/*
* Note that despite the run() completing, the Foreman continues to exist, and receives
* events (indirectly, through the QueryManager's use of stateListener), about fragment
* completions. It won't go away until everything is completed, failed, or cancelled.
*/
}