Examples with BooleanOrAccumulatorParam com.thinkbiganalytics.kylo.catalog.spark.sources.spark.BooleanOrAccumulatorParam used on opensource projects

Example 1 with BooleanOrAccumulatorParam

use of com.thinkbiganalytics.kylo.catalog.spark.sources.spark.BooleanOrAccumulatorParam in project kylo by Teradata.

the class AbstractSparkDataSetProvider method read.

@Nonnull
@Override
public final T read(@Nonnull final KyloCatalogClient<T> client, @Nonnull final DataSetOptions options) {
    // Prepare reader
    final SparkDataSetContext<T> context = new SparkDataSetContext<>(options, client, this);
    final DataFrameReader reader = SparkUtil.prepareDataFrameReader(getDataFrameReader(client, context), context, client);
    final List<String> paths = context.getPaths();
    // Load and union data sets
    T dataSet = null;
    if (paths == null || paths.isEmpty() || context.isFileFormat()) {
        final Seq<String> pathSeq = (paths != null) ? JavaConversions.asScalaBuffer(paths) : null;
        dataSet = load(reader, pathSeq);
    } else {
        for (final String path : paths) {
            T load = load(reader, Seq$.MODULE$.<String>newBuilder().$plus$eq(path).result());
            dataSet = (dataSet == null) ? load : union(dataSet, load);
        }
    }
    // Delete files on job end
    if (context.isFileFormat() && "false".equalsIgnoreCase(SparkUtil.getOrElse(context.getOption(KEEP_SOURCE_FILE_OPTION), ""))) {
        final StructType schema = schema(dataSet);
        if (!schema.isEmpty()) {
            // Watch for when data set is read
            final Accumulable<Boolean, Boolean> accumulator = accumulable(Boolean.FALSE, UUID.randomUUID().toString(), new BooleanOrAccumulatorParam(), client);
            final FlaggingVisitor visitor = new FlaggingVisitor(accumulator);
            dataSet = map(dataSet, schema.apply(0).name(), visitor, schema.apply(0).dataType());
            // Delete paths on job end
            final DeletePathsListener jobListener = new DeletePathsListener(context.getPaths(), accumulator, getHadoopConfiguration(client));
            onJobEnd(jobListener, client);
        }
    }
    return dataSet;
}