Examples with IPrestoSparkQueryExecution com.facebook.presto.spark.classloader_interface.IPrestoSparkQueryExecution used on opensource projects

Example 1 with IPrestoSparkQueryExecution

use of com.facebook.presto.spark.classloader_interface.IPrestoSparkQueryExecution in project presto by prestodb.

the class PrestoSparkQueryRunner method execute.

@Override
public MaterializedResult execute(Session session, String sql) {
    IPrestoSparkQueryExecutionFactory executionFactory = prestoSparkService.getQueryExecutionFactory();
    IPrestoSparkQueryExecution execution = executionFactory.create(sparkContext, createSessionInfo(session), Optional.of(sql), Optional.empty(), Optional.empty(), Optional.empty(), Optional.empty(), new TestingPrestoSparkTaskExecutorFactoryProvider(instanceId), Optional.empty(), Optional.empty());
    List<List<Object>> results = execution.execute();
    List<MaterializedRow> rows = results.stream().map(result -> new MaterializedRow(DEFAULT_PRECISION, result)).collect(toImmutableList());
    if (execution instanceof PrestoSparkQueryExecution) {
        PrestoSparkQueryExecution p = (PrestoSparkQueryExecution) execution;
        if (!p.getUpdateType().isPresent()) {
            return new MaterializedResult(rows, p.getOutputTypes());
        } else {
            return new MaterializedResult(rows, p.getOutputTypes(), ImmutableMap.of(), ImmutableSet.of(), p.getUpdateType(), OptionalLong.of((Long) getOnlyElement(getOnlyElement(rows).getFields())), ImmutableList.of());
        }
    } else {
        return new MaterializedResult(rows, ImmutableList.of(), ImmutableMap.of(), ImmutableSet.of(), Optional.empty(), OptionalLong.empty(), ImmutableList.of());
    }
}

Example 2 with IPrestoSparkQueryExecution

use of com.facebook.presto.spark.classloader_interface.IPrestoSparkQueryExecution in project presto by prestodb.

the class PrestoSparkQueryExecutionFactory method create.

@Override
public IPrestoSparkQueryExecution create(SparkContext sparkContext, PrestoSparkSession prestoSparkSession, Optional<String> sqlText, Optional<String> sqlLocation, Optional<String> sqlFileHexHash, Optional<String> sqlFileSizeInBytes, Optional<String> sparkQueueName, PrestoSparkTaskExecutorFactoryProvider executorFactoryProvider, Optional<String> queryStatusInfoOutputLocation, Optional<String> queryDataOutputLocation) {
    PrestoSparkConfInitializer.checkInitialized(sparkContext);
    String sql;
    if (sqlText.isPresent()) {
        checkArgument(!sqlLocation.isPresent(), "sqlText and sqlLocation should not be set at the same time");
        sql = sqlText.get();
    } else {
        checkArgument(sqlLocation.isPresent(), "sqlText or sqlLocation must be present");
        byte[] sqlFileBytes = metadataStorage.read(sqlLocation.get());
        if (sqlFileSizeInBytes.isPresent()) {
            if (Integer.valueOf(sqlFileSizeInBytes.get()) != sqlFileBytes.length) {
                throw new PrestoException(MALFORMED_QUERY_FILE, format("sql file size %s is different from expected sqlFileSizeInBytes %s", sqlFileBytes.length, sqlFileSizeInBytes.get()));
            }
        }
        if (sqlFileHexHash.isPresent()) {
            try {
                MessageDigest md = MessageDigest.getInstance("SHA-512");
                String actualHexHashCode = BaseEncoding.base16().lowerCase().encode(md.digest(sqlFileBytes));
                if (!sqlFileHexHash.get().equals(actualHexHashCode)) {
                    throw new PrestoException(MALFORMED_QUERY_FILE, format("actual hash code %s is different from expected sqlFileHexHash %s", actualHexHashCode, sqlFileHexHash.get()));
                }
            } catch (NoSuchAlgorithmException e) {
                throw new PrestoException(GENERIC_INTERNAL_ERROR, "unsupported hash algorithm", e);
            }
        }
        sql = new String(sqlFileBytes, UTF_8);
    }
    log.info("Query: %s", sql);
    QueryStateTimer queryStateTimer = new QueryStateTimer(systemTicker());
    queryStateTimer.beginPlanning();
    QueryId queryId = queryIdGenerator.createNextQueryId();
    log.info("Starting execution for presto query: %s", queryId);
    System.out.printf("Query id: %s\n", queryId);
    sparkContext.conf().set(PRESTO_QUERY_ID_CONFIG, queryId.getId());
    SessionContext sessionContext = PrestoSparkSessionContext.createFromSessionInfo(prestoSparkSession, credentialsProviders, authenticatorProviders);
    Session session = sessionSupplier.createSession(queryId, sessionContext);
    session = sessionPropertyDefaults.newSessionWithDefaultProperties(session, Optional.empty(), Optional.empty());
    WarningCollector warningCollector = warningCollectorFactory.create(getWarningHandlingLevel(session));
    PlanAndMore planAndMore = null;
    try {
        TransactionId transactionId = transactionManager.beginTransaction(true);
        session = session.beginTransactionId(transactionId, transactionManager, accessControl);
        queryMonitor.queryCreatedEvent(new BasicQueryInfo(createQueryInfo(session, sql, PLANNING, Optional.empty(), sparkQueueName, Optional.empty(), queryStateTimer, Optional.empty(), warningCollector)));
        // including queueing time
        Duration queryMaxRunTime = getQueryMaxRunTime(session);
        // excluding queueing time
        Duration queryMaxExecutionTime = getQueryMaxExecutionTime(session);
        // pick a smaller one as we are not tracking queueing for Presto on Spark
        Duration queryTimeout = queryMaxRunTime.compareTo(queryMaxExecutionTime) < 0 ? queryMaxRunTime : queryMaxExecutionTime;
        long queryCompletionDeadline = System.currentTimeMillis() + queryTimeout.toMillis();
        settingsRequirements.verify(sparkContext, session);
        queryStateTimer.beginAnalyzing();
        PreparedQuery preparedQuery = queryPreparer.prepareQuery(session, sql, warningCollector);
        Optional<QueryType> queryType = StatementUtils.getQueryType(preparedQuery.getStatement().getClass());
        if (queryType.isPresent() && (queryType.get() == QueryType.DATA_DEFINITION)) {
            queryStateTimer.endAnalysis();
            DDLDefinitionTask<?> task = (DDLDefinitionTask<?>) ddlTasks.get(preparedQuery.getStatement().getClass());
            return new PrestoSparkDataDefinitionExecution(task, preparedQuery.getStatement(), transactionManager, accessControl, metadata, session, queryStateTimer, warningCollector);
        } else {
            planAndMore = queryPlanner.createQueryPlan(session, preparedQuery, warningCollector);
            SubPlan fragmentedPlan = planFragmenter.fragmentQueryPlan(session, planAndMore.getPlan(), warningCollector);
            log.info(textDistributedPlan(fragmentedPlan, metadata.getFunctionAndTypeManager(), session, true));
            fragmentedPlan = configureOutputPartitioning(session, fragmentedPlan);
            TableWriteInfo tableWriteInfo = getTableWriteInfo(session, fragmentedPlan);
            JavaSparkContext javaSparkContext = new JavaSparkContext(sparkContext);
            CollectionAccumulator<SerializedTaskInfo> taskInfoCollector = new CollectionAccumulator<>();
            taskInfoCollector.register(sparkContext, Option.empty(), false);
            CollectionAccumulator<PrestoSparkShuffleStats> shuffleStatsCollector = new CollectionAccumulator<>();
            shuffleStatsCollector.register(sparkContext, Option.empty(), false);
            TempStorage tempStorage = tempStorageManager.getTempStorage(storageBasedBroadcastJoinStorage);
            queryStateTimer.endAnalysis();
            return new PrestoSparkQueryExecution(javaSparkContext, session, queryMonitor, taskInfoCollector, shuffleStatsCollector, prestoSparkTaskExecutorFactory, executorFactoryProvider, queryStateTimer, warningCollector, sql, planAndMore, fragmentedPlan, sparkQueueName, taskInfoCodec, sparkTaskDescriptorJsonCodec, queryStatusInfoJsonCodec, queryDataJsonCodec, rddFactory, tableWriteInfo, transactionManager, createPagesSerde(blockEncodingManager), executionExceptionFactory, queryTimeout, queryCompletionDeadline, metadataStorage, queryStatusInfoOutputLocation, queryDataOutputLocation, tempStorage, nodeMemoryConfig, waitTimeMetrics);
        }
    } catch (Throwable executionFailure) {
        queryStateTimer.beginFinishing();
        try {
            rollback(session, transactionManager);
        } catch (RuntimeException rollbackFailure) {
            log.error(rollbackFailure, "Encountered error when performing rollback");
        }
        queryStateTimer.endQuery();
        Optional<ExecutionFailureInfo> failureInfo = Optional.empty();
        if (executionFailure instanceof PrestoSparkExecutionException) {
            failureInfo = executionExceptionFactory.extractExecutionFailureInfo((PrestoSparkExecutionException) executionFailure);
            verify(failureInfo.isPresent());
        }
        if (!failureInfo.isPresent()) {
            failureInfo = Optional.of(toFailure(executionFailure));
        }
        try {
            QueryInfo queryInfo = createQueryInfo(session, sql, FAILED, Optional.ofNullable(planAndMore), sparkQueueName, failureInfo, queryStateTimer, Optional.empty(), warningCollector);
            queryMonitor.queryCompletedEvent(queryInfo);
            if (queryStatusInfoOutputLocation.isPresent()) {
                PrestoSparkQueryStatusInfo prestoSparkQueryStatusInfo = createPrestoSparkQueryInfo(queryInfo, Optional.ofNullable(planAndMore), warningCollector, OptionalLong.empty());
                metadataStorage.write(queryStatusInfoOutputLocation.get(), queryStatusInfoJsonCodec.toJsonBytes(prestoSparkQueryStatusInfo));
            }
        } catch (RuntimeException eventFailure) {
            log.error(eventFailure, "Error publishing query immediate failure event");
        }
        throw failureInfo.get().toFailure();
    }
}

Example 3 with IPrestoSparkQueryExecution

use of com.facebook.presto.spark.classloader_interface.IPrestoSparkQueryExecution in project presto by prestodb.

the class PrestoSparkRunner method run.

public void run(String user, Optional<Principal> principal, Map<String, String> extraCredentials, String catalog, String schema, Optional<String> source, Optional<String> userAgent, Optional<String> clientInfo, Set<String> clientTags, Map<String, String> sessionProperties, Map<String, Map<String, String>> catalogSessionProperties, Optional<String> sqlText, Optional<String> sqlLocation, Optional<String> sqlFileHexHash, Optional<String> sqlFileSizeInBytes, Optional<String> traceToken, Optional<String> sparkQueueName, Optional<String> queryStatusInfoOutputLocation, Optional<String> queryDataOutputLocation) {
    IPrestoSparkQueryExecutionFactory queryExecutionFactory = driverPrestoSparkService.getQueryExecutionFactory();
    PrestoSparkSession session = new PrestoSparkSession(user, principal, extraCredentials, Optional.ofNullable(catalog), Optional.ofNullable(schema), source, userAgent, clientInfo, clientTags, Optional.empty(), Optional.empty(), sessionProperties, catalogSessionProperties, traceToken);
    IPrestoSparkQueryExecution queryExecution = queryExecutionFactory.create(distribution.getSparkContext(), session, sqlText, sqlLocation, sqlFileHexHash, sqlFileSizeInBytes, sparkQueueName, new DistributionBasedPrestoSparkTaskExecutorFactoryProvider(distribution), queryStatusInfoOutputLocation, queryDataOutputLocation);
    List<List<Object>> results = queryExecution.execute();
    System.out.println("Rows: " + results.size());
    results.forEach(System.out::println);
}