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

Example 1 with JdbcHighWaterMarkAccumulableParam

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

the class AbstractJdbcDataSetProvider method updateHighWaterMark.

/**
 * Scans the specified field and updates the specified high water mark.
 */
@Nonnull
@VisibleForTesting
T updateHighWaterMark(@Nonnull final T dataSet, @Nonnull final String fieldName, @Nonnull final JdbcHighWaterMark highWaterMark, @Nonnull final KyloCatalogClient<T> client) {
    // Determine function to convert column to Long
    final DataType fieldType = schema(dataSet).apply(fieldName).dataType();
    final Function1<?, Long> toLong;
    if (fieldType == DataTypes.DateType) {
        toLong = new DateToLong();
    } else if (fieldType == DataTypes.TimestampType) {
        toLong = new TimestampToLong();
    } else {
        throw new KyloCatalogException("Unsupported column type for high water mark: " + fieldType);
    }
    // Create UDF and apply to field
    final String accumulableId = (highWaterMark.getName() != null) ? highWaterMark.getName() : UUID.randomUUID().toString();
    final Accumulable<JdbcHighWaterMark, Long> accumulable = accumulable(highWaterMark, accumulableId, new JdbcHighWaterMarkAccumulableParam(), client);
    final JdbcHighWaterMarkVisitor<?> visitor = new JdbcHighWaterMarkVisitor<>(accumulable, toLong);
    return map(dataSet, fieldName, visitor, fieldType);
}