/** Creates a test environment with bin, config and plugins directories. */
static Tuple<Path, Environment> createEnv(FileSystem fs, Function<String, Path> temp)
throws IOException {
Path home = temp.apply("install-plugin-command-tests");
Files.createDirectories(home.resolve("bin"));
Files.createFile(home.resolve("bin").resolve("elasticsearch"));
Files.createDirectories(home.resolve("config"));
Files.createFile(home.resolve("config").resolve("elasticsearch.yml"));
Path plugins = Files.createDirectories(home.resolve("plugins"));
assertTrue(Files.exists(plugins));
Settings settings = Settings.builder().put("path.home", home).build();
return Tuple.tuple(home, new Environment(settings));
}
private static Tuple<Integer, Integer> randomPrimariesAndReplicas(final int numNodes) {
final int numPrimaries;
final int numReplicas;
if (randomBoolean()) {
// test with some nodes having no shards
numPrimaries = 1;
numReplicas = randomIntBetween(0, numNodes - 2);
} else {
// test with all nodes having at least one shard
numPrimaries = randomIntBetween(1, 5);
numReplicas = numNodes - 1;
}
return Tuple.tuple(numPrimaries, numReplicas);
}
/**
* Returns a tuple containing random stored field values and their corresponding expected values
* once printed out via {@link
* org.elasticsearch.common.xcontent.ToXContent#toXContent(XContentBuilder, ToXContent.Params)}
* and parsed back via {@link org.elasticsearch.common.xcontent.XContentParser#objectText()}.
* Generates values based on what can get printed out. Stored fields values are retrieved from
* lucene and converted via {@link
* org.elasticsearch.index.mapper.MappedFieldType#valueForDisplay(Object)} to either strings,
* numbers or booleans.
*
* @param random Random generator
* @param xContentType the content type, used to determine what the expected values are for float
* numbers.
*/
public static Tuple<List<Object>, List<Object>> randomStoredFieldValues(
Random random, XContentType xContentType) {
int numValues = RandomNumbers.randomIntBetween(random, 1, 5);
List<Object> originalValues = new ArrayList<>();
List<Object> expectedParsedValues = new ArrayList<>();
int dataType = RandomNumbers.randomIntBetween(random, 0, 8);
for (int i = 0; i < numValues; i++) {
switch (dataType) {
case 0:
long randomLong = random.nextLong();
originalValues.add(randomLong);
expectedParsedValues.add(randomLong);
break;
case 1:
int randomInt = random.nextInt();
originalValues.add(randomInt);
expectedParsedValues.add(randomInt);
break;
case 2:
Short randomShort = (short) random.nextInt();
originalValues.add(randomShort);
expectedParsedValues.add(randomShort.intValue());
break;
case 3:
Byte randomByte = (byte) random.nextInt();
originalValues.add(randomByte);
expectedParsedValues.add(randomByte.intValue());
break;
case 4:
double randomDouble = random.nextDouble();
originalValues.add(randomDouble);
expectedParsedValues.add(randomDouble);
break;
case 5:
Float randomFloat = random.nextFloat();
originalValues.add(randomFloat);
if (xContentType == XContentType.CBOR) {
// with CBOR we get back a float
expectedParsedValues.add(randomFloat);
} else if (xContentType == XContentType.SMILE) {
// with SMILE we get back a double
expectedParsedValues.add(randomFloat.doubleValue());
} else {
// with JSON AND YAML we get back a double, but with float precision.
expectedParsedValues.add(Double.parseDouble(randomFloat.toString()));
}
break;
case 6:
boolean randomBoolean = random.nextBoolean();
originalValues.add(randomBoolean);
expectedParsedValues.add(randomBoolean);
break;
case 7:
String randomString =
random.nextBoolean()
? RandomStrings.randomAsciiOfLengthBetween(random, 3, 10)
: randomUnicodeOfLengthBetween(random, 3, 10);
originalValues.add(randomString);
expectedParsedValues.add(randomString);
break;
case 8:
byte[] randomBytes =
RandomStrings.randomUnicodeOfLengthBetween(random, 10, 50)
.getBytes(StandardCharsets.UTF_8);
BytesArray randomBytesArray = new BytesArray(randomBytes);
originalValues.add(randomBytesArray);
if (xContentType == XContentType.JSON || xContentType == XContentType.YAML) {
// JSON and YAML write the base64 format
expectedParsedValues.add(Base64.getEncoder().encodeToString(randomBytes));
} else {
// SMILE and CBOR write the original bytes as they support binary format
expectedParsedValues.add(randomBytesArray);
}
break;
default:
throw new UnsupportedOperationException();
}
}
return Tuple.tuple(originalValues, expectedParsedValues);
}
static {
buildersByType =
MapBuilder.<String, IndexFieldData.Builder>newMapBuilder()
.put("string", new PagedBytesIndexFieldData.Builder())
.put("float", new FloatArrayIndexFieldData.Builder())
.put("double", new DoubleArrayIndexFieldData.Builder())
.put(
"byte",
new PackedArrayIndexFieldData.Builder()
.setNumericType(IndexNumericFieldData.NumericType.BYTE))
.put(
"short",
new PackedArrayIndexFieldData.Builder()
.setNumericType(IndexNumericFieldData.NumericType.SHORT))
.put(
"int",
new PackedArrayIndexFieldData.Builder()
.setNumericType(IndexNumericFieldData.NumericType.INT))
.put(
"long",
new PackedArrayIndexFieldData.Builder()
.setNumericType(IndexNumericFieldData.NumericType.LONG))
.put("geo_point", new GeoPointDoubleArrayIndexFieldData.Builder())
.put(ParentFieldMapper.NAME, new ParentChildIndexFieldData.Builder())
.put("binary", new DisabledIndexFieldData.Builder())
.immutableMap();
docValuesBuildersByType =
MapBuilder.<String, IndexFieldData.Builder>newMapBuilder()
.put("string", new DocValuesIndexFieldData.Builder())
.put(
"float",
new DocValuesIndexFieldData.Builder()
.numericType(IndexNumericFieldData.NumericType.FLOAT))
.put(
"double",
new DocValuesIndexFieldData.Builder()
.numericType(IndexNumericFieldData.NumericType.DOUBLE))
.put(
"byte",
new DocValuesIndexFieldData.Builder()
.numericType(IndexNumericFieldData.NumericType.BYTE))
.put(
"short",
new DocValuesIndexFieldData.Builder()
.numericType(IndexNumericFieldData.NumericType.SHORT))
.put(
"int",
new DocValuesIndexFieldData.Builder()
.numericType(IndexNumericFieldData.NumericType.INT))
.put(
"long",
new DocValuesIndexFieldData.Builder()
.numericType(IndexNumericFieldData.NumericType.LONG))
.put("geo_point", new GeoPointBinaryDVIndexFieldData.Builder())
.put("binary", new BytesBinaryDVIndexFieldData.Builder())
.immutableMap();
buildersByTypeAndFormat =
MapBuilder.<Tuple<String, String>, IndexFieldData.Builder>newMapBuilder()
.put(Tuple.tuple("string", PAGED_BYTES_FORMAT), new PagedBytesIndexFieldData.Builder())
.put(Tuple.tuple("string", FST_FORMAT), new FSTBytesIndexFieldData.Builder())
.put(Tuple.tuple("string", DOC_VALUES_FORMAT), new DocValuesIndexFieldData.Builder())
.put(Tuple.tuple("string", DISABLED_FORMAT), new DisabledIndexFieldData.Builder())
.put(Tuple.tuple("float", ARRAY_FORMAT), new FloatArrayIndexFieldData.Builder())
.put(
Tuple.tuple("float", DOC_VALUES_FORMAT),
new DocValuesIndexFieldData.Builder()
.numericType(IndexNumericFieldData.NumericType.FLOAT))
.put(Tuple.tuple("float", DISABLED_FORMAT), new DisabledIndexFieldData.Builder())
.put(Tuple.tuple("double", ARRAY_FORMAT), new DoubleArrayIndexFieldData.Builder())
.put(
Tuple.tuple("double", DOC_VALUES_FORMAT),
new DocValuesIndexFieldData.Builder()
.numericType(IndexNumericFieldData.NumericType.DOUBLE))
.put(Tuple.tuple("double", DISABLED_FORMAT), new DisabledIndexFieldData.Builder())
.put(
Tuple.tuple("byte", ARRAY_FORMAT),
new PackedArrayIndexFieldData.Builder()
.setNumericType(IndexNumericFieldData.NumericType.BYTE))
.put(
Tuple.tuple("byte", DOC_VALUES_FORMAT),
new DocValuesIndexFieldData.Builder()
.numericType(IndexNumericFieldData.NumericType.BYTE))
.put(Tuple.tuple("byte", DISABLED_FORMAT), new DisabledIndexFieldData.Builder())
.put(
Tuple.tuple("short", ARRAY_FORMAT),
new PackedArrayIndexFieldData.Builder()
.setNumericType(IndexNumericFieldData.NumericType.SHORT))
.put(
Tuple.tuple("short", DOC_VALUES_FORMAT),
new DocValuesIndexFieldData.Builder()
.numericType(IndexNumericFieldData.NumericType.SHORT))
.put(Tuple.tuple("short", DISABLED_FORMAT), new DisabledIndexFieldData.Builder())
.put(
Tuple.tuple("int", ARRAY_FORMAT),
new PackedArrayIndexFieldData.Builder()
.setNumericType(IndexNumericFieldData.NumericType.INT))
.put(
Tuple.tuple("int", DOC_VALUES_FORMAT),
new DocValuesIndexFieldData.Builder()
.numericType(IndexNumericFieldData.NumericType.INT))
.put(Tuple.tuple("int", DISABLED_FORMAT), new DisabledIndexFieldData.Builder())
.put(
Tuple.tuple("long", ARRAY_FORMAT),
new PackedArrayIndexFieldData.Builder()
.setNumericType(IndexNumericFieldData.NumericType.LONG))
.put(
Tuple.tuple("long", DOC_VALUES_FORMAT),
new DocValuesIndexFieldData.Builder()
.numericType(IndexNumericFieldData.NumericType.LONG))
.put(Tuple.tuple("long", DISABLED_FORMAT), new DisabledIndexFieldData.Builder())
.put(
Tuple.tuple("geo_point", ARRAY_FORMAT),
new GeoPointDoubleArrayIndexFieldData.Builder())
.put(
Tuple.tuple("geo_point", DOC_VALUES_FORMAT),
new GeoPointBinaryDVIndexFieldData.Builder())
.put(Tuple.tuple("geo_point", DISABLED_FORMAT), new DisabledIndexFieldData.Builder())
.put(
Tuple.tuple("geo_point", COMPRESSED_FORMAT),
new GeoPointCompressedIndexFieldData.Builder())
.put(
Tuple.tuple("binary", DOC_VALUES_FORMAT), new BytesBinaryDVIndexFieldData.Builder())
.put(Tuple.tuple("binary", DISABLED_FORMAT), new DisabledIndexFieldData.Builder())
.immutableMap();
}
public <IFD extends IndexFieldData<?>> IFD getForField(FieldMapper<?> mapper) {
final FieldMapper.Names fieldNames = mapper.names();
final FieldDataType type = mapper.fieldDataType();
final boolean docValues = mapper.hasDocValues();
IndexFieldData<?> fieldData = loadedFieldData.get(fieldNames.indexName());
if (fieldData == null) {
synchronized (loadedFieldData) {
fieldData = loadedFieldData.get(fieldNames.indexName());
if (fieldData == null) {
IndexFieldData.Builder builder = null;
String format = type.getFormat(indexSettings);
if (format != null
&& FieldDataType.DOC_VALUES_FORMAT_VALUE.equals(format)
&& !docValues) {
logger.warn(
"field ["
+ fieldNames.fullName()
+ "] has no doc values, will use default field data format");
format = null;
}
if (format != null) {
builder = buildersByTypeAndFormat.get(Tuple.tuple(type.getType(), format));
if (builder == null) {
logger.warn(
"failed to find format ["
+ format
+ "] for field ["
+ fieldNames.fullName()
+ "], will use default");
}
}
if (builder == null && docValues) {
builder = docValuesBuildersByType.get(type.getType());
}
if (builder == null) {
builder = buildersByType.get(type.getType());
}
if (builder == null) {
throw new ElasticsearchIllegalArgumentException(
"failed to find field data builder for field "
+ fieldNames.fullName()
+ ", and type "
+ type.getType());
}
IndexFieldDataCache cache = fieldDataCaches.get(fieldNames.indexName());
if (cache == null) {
// we default to node level cache, which in turn defaults to be unbounded
// this means changing the node level settings is simple, just set the bounds there
String cacheType =
type.getSettings().get("cache", indexSettings.get("index.fielddata.cache", "node"));
if ("resident".equals(cacheType)) {
cache =
new IndexFieldDataCache.Resident(
indexService, fieldNames, type, indicesFieldDataCacheListener);
} else if ("soft".equals(cacheType)) {
cache =
new IndexFieldDataCache.Soft(
indexService, fieldNames, type, indicesFieldDataCacheListener);
} else if ("node".equals(cacheType)) {
cache =
indicesFieldDataCache.buildIndexFieldDataCache(
indexService, index, fieldNames, type);
} else {
throw new ElasticsearchIllegalArgumentException(
"cache type not supported ["
+ cacheType
+ "] for field ["
+ fieldNames.fullName()
+ "]");
}
fieldDataCaches.put(fieldNames.indexName(), cache);
}
GlobalOrdinalsBuilder globalOrdinalBuilder =
new InternalGlobalOrdinalsBuilder(index(), indexSettings);
fieldData =
builder.build(
index,
indexSettings,
mapper,
cache,
circuitBreakerService,
indexService.mapperService(),
globalOrdinalBuilder);
loadedFieldData.put(fieldNames.indexName(), fieldData);
}
}
}
return (IFD) fieldData;
}
@SuppressWarnings("unchecked")
public <IFD extends IndexFieldData<?>> IFD getForField(MappedFieldType fieldType) {
final Names fieldNames = fieldType.names();
final FieldDataType type = fieldType.fieldDataType();
if (type == null) {
throw new IllegalArgumentException(
"found no fielddata type for field [" + fieldNames.fullName() + "]");
}
final boolean docValues = fieldType.hasDocValues();
IndexFieldData.Builder builder = null;
String format = type.getFormat(indexSettings);
if (format != null && FieldDataType.DOC_VALUES_FORMAT_VALUE.equals(format) && !docValues) {
logger.warn(
"field ["
+ fieldNames.fullName()
+ "] has no doc values, will use default field data format");
format = null;
}
if (format != null) {
builder = buildersByTypeAndFormat.get(Tuple.tuple(type.getType(), format));
if (builder == null) {
logger.warn(
"failed to find format ["
+ format
+ "] for field ["
+ fieldNames.fullName()
+ "], will use default");
}
}
if (builder == null && docValues) {
builder = docValuesBuildersByType.get(type.getType());
}
if (builder == null) {
builder = buildersByType.get(type.getType());
}
if (builder == null) {
throw new IllegalArgumentException(
"failed to find field data builder for field "
+ fieldNames.fullName()
+ ", and type "
+ type.getType());
}
IndexFieldDataCache cache;
synchronized (this) {
cache = fieldDataCaches.get(fieldNames.indexName());
if (cache == null) {
// we default to node level cache, which in turn defaults to be unbounded
// this means changing the node level settings is simple, just set the bounds there
String cacheType =
type.getSettings()
.get("cache", indexSettings.get(FIELDDATA_CACHE_KEY, FIELDDATA_CACHE_VALUE_NODE));
if (FIELDDATA_CACHE_VALUE_NODE.equals(cacheType)) {
cache = indicesFieldDataCache.buildIndexFieldDataCache(listener, index, fieldNames, type);
} else if ("none".equals(cacheType)) {
cache = new IndexFieldDataCache.None();
} else {
throw new IllegalArgumentException(
"cache type not supported ["
+ cacheType
+ "] for field ["
+ fieldNames.fullName()
+ "]");
}
fieldDataCaches.put(fieldNames.indexName(), cache);
}
}
return (IFD)
builder.build(index, indexSettings, fieldType, cache, circuitBreakerService, mapperService);
}
@Override
protected PrimaryResponse<IngestShardResponse, IngestShardRequest> shardOperationOnPrimary(
ClusterState clusterState, PrimaryOperationRequest shardRequest) {
final IngestShardRequest request = shardRequest.request;
IndexShard indexShard =
indicesService
.indexServiceSafe(shardRequest.request.index())
.shardSafe(shardRequest.shardId);
int successSize = 0;
List<IngestItemFailure> failure = newLinkedList();
int size = request.items().size();
long[] versions = new long[size];
Set<Tuple<String, String>> mappingsToUpdate = newHashSet();
for (int i = 0; i < size; i++) {
IngestItemRequest item = request.items().get(i);
if (item.request() instanceof IndexRequest) {
IndexRequest indexRequest = (IndexRequest) item.request();
Engine.IndexingOperation op = null;
try {
// validate, if routing is required, that we got routing
MappingMetaData mappingMd =
clusterState.metaData().index(request.index()).mappingOrDefault(indexRequest.type());
if (mappingMd != null && mappingMd.routing().required()) {
if (indexRequest.routing() == null) {
throw new RoutingMissingException(
indexRequest.index(), indexRequest.type(), indexRequest.id());
}
}
SourceToParse sourceToParse =
SourceToParse.source(SourceToParse.Origin.PRIMARY, indexRequest.source())
.type(indexRequest.type())
.id(indexRequest.id())
.routing(indexRequest.routing())
.parent(indexRequest.parent())
.timestamp(indexRequest.timestamp())
.ttl(indexRequest.ttl());
long version;
if (indexRequest.opType() == IndexRequest.OpType.INDEX) {
Engine.Index index =
indexShard
.prepareIndex(sourceToParse)
.version(indexRequest.version())
.versionType(indexRequest.versionType())
.origin(Engine.Operation.Origin.PRIMARY);
op = index;
indexShard.index(index);
version = index.version();
} else {
Engine.Create create =
indexShard
.prepareCreate(sourceToParse)
.version(indexRequest.version())
.versionType(indexRequest.versionType())
.origin(Engine.Operation.Origin.PRIMARY);
op = create;
indexShard.create(create);
version = create.version();
}
versions[i] = indexRequest.version();
// update the version on request so it will happen on the replicas
indexRequest.version(version);
successSize++;
} catch (Throwable e) {
// rethrow the failure if we are going to retry on primary and let parent failure to
// handle it
if (retryPrimaryException(e)) {
// restore updated versions...
for (int j = 0; j < i; j++) {
applyVersion(request.items().get(j), versions[j]);
}
logger.error(e.getMessage(), e);
throw new ElasticsearchException(e.getMessage());
}
if (e instanceof ElasticsearchException
&& ((ElasticsearchException) e).status() == RestStatus.CONFLICT) {
logger.error(
"[{}][{}] failed to execute bulk item (index) {}",
e,
shardRequest.request.index(),
shardRequest.shardId,
indexRequest);
} else {
logger.error(
"[{}][{}] failed to execute bulk item (index) {}",
e,
shardRequest.request.index(),
shardRequest.shardId,
indexRequest);
}
failure.add(new IngestItemFailure(item.id(), ExceptionsHelper.detailedMessage(e)));
// nullify the request so it won't execute on the replicas
request.items().set(i, null);
} finally {
// update mapping on master if needed, we won't update changes to the same type, since
// once its changed, it won't have mappers added
if (op != null && op.parsedDoc().mappingsModified()) {
mappingsToUpdate.add(Tuple.tuple(indexRequest.index(), indexRequest.type()));
}
}
} else if (item.request() instanceof DeleteRequest) {
DeleteRequest deleteRequest = (DeleteRequest) item.request();
try {
Engine.Delete delete =
indexShard
.prepareDelete(deleteRequest.type(), deleteRequest.id(), deleteRequest.version())
.versionType(deleteRequest.versionType())
.origin(Engine.Operation.Origin.PRIMARY);
indexShard.delete(delete);
// update the request with teh version so it will go to the replicas
deleteRequest.version(delete.version());
successSize++;
} catch (Throwable e) {
// rethrow the failure if we are going to retry on primary and let parent failure to
// handle it
if (retryPrimaryException(e)) {
// restore updated versions...
for (int j = 0; j < i; j++) {
applyVersion(request.items().get(j), versions[j]);
}
logger.error(e.getMessage(), e);
throw new ElasticsearchException(e.getMessage());
}
if (e instanceof ElasticsearchException
&& ((ElasticsearchException) e).status() == RestStatus.CONFLICT) {
logger.trace(
"[{}][{}] failed to execute bulk item (delete) {}",
e,
shardRequest.request.index(),
shardRequest.shardId,
deleteRequest);
} else {
logger.debug(
"[{}][{}] failed to execute bulk item (delete) {}",
e,
shardRequest.request.index(),
shardRequest.shardId,
deleteRequest);
}
failure.add(new IngestItemFailure(item.id(), ExceptionsHelper.detailedMessage(e)));
// nullify the request so it won't execute on the replicas
request.items().set(i, null);
}
}
}
if (!mappingsToUpdate.isEmpty()) {
for (Tuple<String, String> mappingToUpdate : mappingsToUpdate) {
logger.info("mapping update {} {}", mappingToUpdate.v1(), mappingToUpdate.v2());
updateMappingOnMaster(mappingToUpdate.v1(), mappingToUpdate.v2());
}
}
IngestShardResponse response =
new IngestShardResponse(
new ShardId(request.index(), request.shardId()), successSize, failure);
return new PrimaryResponse<IngestShardResponse, IngestShardRequest>(
shardRequest.request, response, null);
}
public void testClusterStateBatchedUpdates() throws BrokenBarrierException, InterruptedException {
AtomicInteger counter = new AtomicInteger();
class Task {
private AtomicBoolean state = new AtomicBoolean();
private final int id;
Task(int id) {
this.id = id;
}
public void execute() {
if (!state.compareAndSet(false, true)) {
throw new IllegalStateException();
} else {
counter.incrementAndGet();
}
}
@Override
public boolean equals(Object o) {
if (this == o) {
return true;
}
if (o == null || getClass() != o.getClass()) {
return false;
}
Task task = (Task) o;
return id == task.id;
}
@Override
public int hashCode() {
return id;
}
@Override
public String toString() {
return Integer.toString(id);
}
}
int numberOfThreads = randomIntBetween(2, 8);
int taskSubmissionsPerThread = randomIntBetween(1, 64);
int numberOfExecutors = Math.max(1, numberOfThreads / 4);
final Semaphore semaphore = new Semaphore(numberOfExecutors);
class TaskExecutor implements ClusterStateTaskExecutor<Task> {
private final List<Set<Task>> taskGroups;
private AtomicInteger counter = new AtomicInteger();
private AtomicInteger batches = new AtomicInteger();
private AtomicInteger published = new AtomicInteger();
public TaskExecutor(List<Set<Task>> taskGroups) {
this.taskGroups = taskGroups;
}
@Override
public BatchResult<Task> execute(ClusterState currentState, List<Task> tasks)
throws Exception {
for (Set<Task> expectedSet : taskGroups) {
long count = tasks.stream().filter(expectedSet::contains).count();
assertThat(
"batched set should be executed together or not at all. Expected "
+ expectedSet
+ "s. Executing "
+ tasks,
count,
anyOf(equalTo(0L), equalTo((long) expectedSet.size())));
}
tasks.forEach(Task::execute);
counter.addAndGet(tasks.size());
ClusterState maybeUpdatedClusterState = currentState;
if (randomBoolean()) {
maybeUpdatedClusterState = ClusterState.builder(currentState).build();
batches.incrementAndGet();
semaphore.acquire();
}
return BatchResult.<Task>builder().successes(tasks).build(maybeUpdatedClusterState);
}
@Override
public boolean runOnlyOnMaster() {
return false;
}
@Override
public void clusterStatePublished(ClusterChangedEvent clusterChangedEvent) {
published.incrementAndGet();
semaphore.release();
}
}
ConcurrentMap<String, AtomicInteger> processedStates = new ConcurrentHashMap<>();
List<Set<Task>> taskGroups = new ArrayList<>();
List<TaskExecutor> executors = new ArrayList<>();
for (int i = 0; i < numberOfExecutors; i++) {
executors.add(new TaskExecutor(taskGroups));
}
// randomly assign tasks to executors
List<Tuple<TaskExecutor, Set<Task>>> assignments = new ArrayList<>();
int taskId = 0;
for (int i = 0; i < numberOfThreads; i++) {
for (int j = 0; j < taskSubmissionsPerThread; j++) {
TaskExecutor executor = randomFrom(executors);
Set<Task> tasks = new HashSet<>();
for (int t = randomInt(3); t >= 0; t--) {
tasks.add(new Task(taskId++));
}
taskGroups.add(tasks);
assignments.add(Tuple.tuple(executor, tasks));
}
}
Map<TaskExecutor, Integer> counts = new HashMap<>();
int totalTaskCount = 0;
for (Tuple<TaskExecutor, Set<Task>> assignment : assignments) {
final int taskCount = assignment.v2().size();
counts.merge(assignment.v1(), taskCount, (previous, count) -> previous + count);
totalTaskCount += taskCount;
}
final CountDownLatch updateLatch = new CountDownLatch(totalTaskCount);
final ClusterStateTaskListener listener =
new ClusterStateTaskListener() {
@Override
public void onFailure(String source, Exception e) {
fail(ExceptionsHelper.detailedMessage(e));
}
@Override
public void clusterStateProcessed(
String source, ClusterState oldState, ClusterState newState) {
processedStates.computeIfAbsent(source, key -> new AtomicInteger()).incrementAndGet();
updateLatch.countDown();
}
};
final ConcurrentMap<String, AtomicInteger> submittedTasksPerThread = new ConcurrentHashMap<>();
CyclicBarrier barrier = new CyclicBarrier(1 + numberOfThreads);
for (int i = 0; i < numberOfThreads; i++) {
final int index = i;
Thread thread =
new Thread(
() -> {
final String threadName = Thread.currentThread().getName();
try {
barrier.await();
for (int j = 0; j < taskSubmissionsPerThread; j++) {
Tuple<TaskExecutor, Set<Task>> assignment =
assignments.get(index * taskSubmissionsPerThread + j);
final Set<Task> tasks = assignment.v2();
submittedTasksPerThread
.computeIfAbsent(threadName, key -> new AtomicInteger())
.addAndGet(tasks.size());
final TaskExecutor executor = assignment.v1();
if (tasks.size() == 1) {
clusterService.submitStateUpdateTask(
threadName,
tasks.stream().findFirst().get(),
ClusterStateTaskConfig.build(randomFrom(Priority.values())),
executor,
listener);
} else {
Map<Task, ClusterStateTaskListener> taskListeners = new HashMap<>();
tasks.stream().forEach(t -> taskListeners.put(t, listener));
clusterService.submitStateUpdateTasks(
threadName,
taskListeners,
ClusterStateTaskConfig.build(randomFrom(Priority.values())),
executor);
}
}
barrier.await();
} catch (BrokenBarrierException | InterruptedException e) {
throw new AssertionError(e);
}
});
thread.start();
}
// wait for all threads to be ready
barrier.await();
// wait for all threads to finish
barrier.await();
// wait until all the cluster state updates have been processed
updateLatch.await();
// and until all of the publication callbacks have completed
semaphore.acquire(numberOfExecutors);
// assert the number of executed tasks is correct
assertEquals(totalTaskCount, counter.get());
// assert each executor executed the correct number of tasks
for (TaskExecutor executor : executors) {
if (counts.containsKey(executor)) {
assertEquals((int) counts.get(executor), executor.counter.get());
assertEquals(executor.batches.get(), executor.published.get());
}
}
// assert the correct number of clusterStateProcessed events were triggered
for (Map.Entry<String, AtomicInteger> entry : processedStates.entrySet()) {
assertThat(submittedTasksPerThread, hasKey(entry.getKey()));
assertEquals(
"not all tasks submitted by " + entry.getKey() + " received a processed event",
entry.getValue().get(),
submittedTasksPerThread.get(entry.getKey()).get());
}
}
