Set Operations (HD)

Combines results from merging two or more queries into a single result set.

Information at a Glance

Category Transform
Data source type DB
Sends output to other operators Yes
Data processing tool MapReduce / Spark
Note: The Set Operations (HD) operator is for Hadoop data only. For database data, use the Set Operations (DB) operator.

Input

Two or more databases.

Restrictions

  • The number and the order of the columns must be the same in all queries.
  • The data types must be compatible.
Note: Check Operator and Data Source Compatibility Matrix for specific exceptions.

Configuration

Parameter Description
Notes Any notes or helpful information about this operator's parameter settings. When you enter content in the Notes field, a yellow asterisk is displayed on the operator.
Sets Click Define Sets to display the Define Sets dialog box. For more information, see the Define Sets Dialog Box.
Store Results? Specifies whether to store the results.
  • true - results are stored.
  • false - the data set is passed to the next operator without storing.
Results Location The HDFS directory where the results of the operator are stored. This is the main directory, the subdirectory of which is specified in Results Name. Click Choose File to open the Hadoop File Explorer Dialog Box and browse to the storage location. Do not edit the text directly.
Results Name The name of the file in which to store the results.
Overwrite Specifies whether to delete existing data at that path and file name.
  • Yes - if the path exists, delete that file and save the results.
  • No - Fail if the path already exists.
Storage Format Select the format in which to store the results. The storage format is determined by your type of operator.

Typical formats are Avro, CSV, TSV, or Parquet.

Compression Select the type of compression for the output.
Available Parquet compression options.
  • GZIP
  • Deflate
  • Snappy
  • no compression

Available Avro compression options.

  • Deflate
  • Snappy
  • no compression
Use Spark If Yes (the default), uses Spark to optimize calculation time.
Advanced Spark Settings Automatic Optimization
  • Yes specifies using the default Spark optimization settings.
  • No enables providing customized Spark optimization. Click Edit Settings to customize Spark optimization. See Advanced Settings Dialog Box for more information.

Output

Visual Output
The data rows of the output table/view displayed (up to 200 rows).
Data Output
A data set of the joined data sets. This operator always creates a CSV output.
Related reference