Examples with SQLDataset io.cdap.cdap.etl.api.engine.sql.dataset.SQLDataset used on opensource projects

Example 6 with SQLDataset

use of io.cdap.cdap.etl.api.engine.sql.dataset.SQLDataset in project cdap by cdapio.

the class BatchSQLEngineAdapter method getDatasetForStage.

/**
 * Function used to fetch the dataset for an input stage.
 *
 * @param stageName
 * @return
 */
private SQLDataset getDatasetForStage(String stageName) {
    // Wait for the previous push or execute jobs to complete
    SQLEngineJobKey pushJobKey = new SQLEngineJobKey(stageName, SQLEngineJobType.PUSH);
    SQLEngineJobKey execJobKey = new SQLEngineJobKey(stageName, SQLEngineJobType.EXECUTE);
    if (jobs.containsKey(pushJobKey)) {
        SQLEngineJob<SQLDataset> job = (SQLEngineJob<SQLDataset>) jobs.get(pushJobKey);
        waitForJobAndThrowException(job);
        return job.waitFor();
    } else if (jobs.containsKey(execJobKey)) {
        SQLEngineJob<SQLDataset> job = (SQLEngineJob<SQLDataset>) jobs.get(execJobKey);
        waitForJobAndThrowException(job);
        return job.waitFor();
    } else {
        throw new IllegalArgumentException("No SQL Engine job exists for stage " + stageName);
    }
}

Example 7 with SQLDataset

use of io.cdap.cdap.etl.api.engine.sql.dataset.SQLDataset in project cdap by cdapio.

the class BatchSQLEngineAdapter method tryRelationalTransform.

/**
 * This method is called when engine is present and is willing to try performing a relational transform.
 *
 * @param stageSpec stage specification
 * @param transform transform plugin
 * @param input     input collections
 * @return resulting collection or empty optional if tranform can't be done with this engine
 */
public Optional<SQLEngineJob<SQLDataset>> tryRelationalTransform(StageSpec stageSpec, RelationalTransform transform, Map<String, SparkCollection<Object>> input) {
    String stageName = stageSpec.getName();
    Map<String, Relation> inputRelations = input.entrySet().stream().collect(Collectors.toMap(Map.Entry::getKey, e -> sqlEngine.getRelation(new SQLRelationDefinition(e.getKey(), stageSpec.getInputSchemas().get(e.getKey())))));
    BasicRelationalTransformContext pluginContext = new BasicRelationalTransformContext(getSQLRelationalEngine(), inputRelations, stageSpec.getInputSchemas(), stageSpec.getOutputSchema());
    if (!transform.transform(pluginContext)) {
        // Plugin was not able to do relational tranform with this engine
        return Optional.empty();
    }
    if (pluginContext.getOutputRelation() == null) {
        // Plugin said that tranformation was success but failed to set output
        throw new IllegalStateException("Plugin " + transform + " did not produce a relational output");
    }
    if (!pluginContext.getOutputRelation().isValid()) {
        // An output is set to invalid relation, probably some of transforms are not supported by an engine
        return Optional.empty();
    }
    // Ensure input and output schemas for this stage are supported by the engine
    if (stageSpec.getInputSchemas().values().stream().anyMatch(s -> !sqlEngine.supportsInputSchema(s))) {
        return Optional.empty();
    }
    if (!sqlEngine.supportsOutputSchema(stageSpec.getOutputSchema())) {
        return Optional.empty();
    }
    // Validate transformation definition with engine
    SQLTransformDefinition transformDefinition = new SQLTransformDefinition(stageName, pluginContext.getOutputRelation(), stageSpec.getOutputSchema(), Collections.emptyMap(), Collections.emptyMap());
    if (!sqlEngine.canTransform(transformDefinition)) {
        return Optional.empty();
    }
    return Optional.of(runJob(stageSpec.getName(), SQLEngineJobType.EXECUTE, () -> {
        // Push all stages that need to be pushed to execute this aggregation
        input.forEach((name, collection) -> {
            if (!exists(name)) {
                push(name, stageSpec.getInputSchemas().get(name), collection);
            }
        });
        // Initialize metrics collector
        DefaultStageMetrics stageMetrics = new DefaultStageMetrics(metrics, stageName);
        StageStatisticsCollector statisticsCollector = statsCollectors.get(stageName);
        // Collect input datasets and execute transformation
        Map<String, SQLDataset> inputDatasets = input.keySet().stream().collect(Collectors.toMap(Function.identity(), this::getDatasetForStage));
        // Count input records
        for (SQLDataset inputDataset : inputDatasets.values()) {
            countRecordsIn(inputDataset, statisticsCollector, stageMetrics);
        }
        // Execute transform
        SQLTransformRequest sqlContext = new SQLTransformRequest(inputDatasets, stageSpec.getName(), pluginContext.getOutputRelation(), stageSpec.getOutputSchema());
        SQLDataset transformed = sqlEngine.transform(sqlContext);
        // Count output records
        countRecordsOut(transformed, statisticsCollector, stageMetrics);
        return transformed;
    }));
}

Example 8 with SQLDataset

use of io.cdap.cdap.etl.api.engine.sql.dataset.SQLDataset in project cdap by caskdata.

the class BatchSQLEngineAdapter method joinInternal.

/**
 * Join implementation. This method has blocking calls and should be executed in a separate thread.
 *
 * @param joinRequest the Join Request
 * @return
 * @throws SQLEngineException if any of the preceding jobs fails.
 */
private SQLDataset joinInternal(SQLJoinRequest joinRequest) throws SQLEngineException {
    String datasetName = joinRequest.getDatasetName();
    DefaultStageMetrics stageMetrics = new DefaultStageMetrics(metrics, datasetName);
    StageStatisticsCollector statisticsCollector = statsCollectors.get(datasetName);
    // Count input metrics for each of the preceding stages.
    for (SQLDataset inputDataset : joinRequest.getInputDatasets()) {
        countRecordsIn(inputDataset, statisticsCollector, stageMetrics);
    }
    // Execute Join job.
    SQLDataset joinDataset = (SQLDataset) sqlEngine.join(joinRequest);
    // Count output rows and complete future.
    countRecordsOut(joinDataset, statisticsCollector, stageMetrics);
    return joinDataset;
}

Example 9 with SQLDataset

use of io.cdap.cdap.etl.api.engine.sql.dataset.SQLDataset in project cdap by caskdata.

the class BatchSQLEngineAdapter method pullInternal.

/**
 * Pull implementation. This method has blocking calls and should be executed in a separate thread.
 *
 * @param dataset the dataset to pull.
 * @return {@link JavaRDD} representing the records contained in this dataset.
 * @throws SQLEngineException if the pull process fails.
 */
@SuppressWarnings("unchecked,raw")
private <T> JavaRDD<T> pullInternal(SQLDataset dataset) throws SQLEngineException {
    // Create pull operation for this dataset and wait until completion
    SQLPullRequest pullRequest = new SQLPullRequest(dataset);
    // If so, we will process this request using a producer.
    for (PullCapability capability : sqlEngine.getPullCapabilities()) {
        SQLDatasetProducer producer = sqlEngine.getProducer(pullRequest, capability);
        // If a producer is able to produce records for this pull request, extract the RDD from this request.
        if (producer != null) {
            RecordCollection recordCollection = producer.produce(dataset);
            // If the collection that got generarted is not an instance of a SparkRecordCollection, skip.
            if (recordCollection instanceof SparkRecordCollection) {
                Schema schema = dataset.getSchema();
                return (JavaRDD<T>) ((SparkRecordCollection) recordCollection).getDataFrame().javaRDD().map(r -> DataFrames.fromRow((Row) r, schema));
            }
        }
    }
    // If no capabilities could be used to produce records, proceed using the Pull Provider.
    SQLPullDataset<StructuredRecord, ?, ?> sqlPullDataset = sqlEngine.getPullProvider(pullRequest);
    // Run operation to read from the InputFormatProvider supplied by this operation.
    ClassLoader classLoader = Objects.firstNonNull(Thread.currentThread().getContextClassLoader(), getClass().getClassLoader());
    JavaPairRDD pairRDD = RDDUtils.readUsingInputFormat(jsc, sqlPullDataset, classLoader, Object.class, Object.class);
    return pairRDD.flatMap(new TransformFromPairFunction(sqlPullDataset.fromKeyValue()));
}

Example 10 with SQLDataset

use of io.cdap.cdap.etl.api.engine.sql.dataset.SQLDataset in project cdap by caskdata.

the class BatchSQLEngineAdapter method join.

/**
 * Executes a Join operation in the SQL engine
 *
 * @param datasetName    the dataset name to use to store the result of the join operation
 * @param joinDefinition the Join Definition
 * @return Job representing this join operation
 */
@SuppressWarnings("unchecked,raw")
public SQLEngineJob<SQLDataset> join(String datasetName, JoinDefinition joinDefinition) {
    return runJob(datasetName, SQLEngineJobType.EXECUTE, () -> {
        Collection<SQLDataset> inputDatasets = getJoinInputDatasets(joinDefinition);
        SQLJoinRequest joinRequest = new SQLJoinRequest(datasetName, joinDefinition, inputDatasets);
        if (!sqlEngine.canJoin(joinRequest)) {
            throw new IllegalArgumentException("Unable to execute this join in the SQL engine");
        }
        return joinInternal(joinRequest);
    });
}