First implementation of merge. #145
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This iteration only covers the two cases covered by spark 1.5: 1. Merging using "on" using only one column 2. Merging using "left_on" and "right_on" - there is no restriction on number of columns used but they must differ in name Currently merging without specifying "on", "left_on" or "right_on" is not supported. This feature will be supported starting Spark 1.6. Refer to Spark issue https://issues.apache.org/jira/browse/SPARK-10246 for more information. By default, the "copy" argument in the merge function does not apply to the Spark framework but has been left in the function for completeness.
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This iteration only covers the two cases covered by spark 1.5:
number of columns used but they must differ in name
Currently merging without specifying "on", "left_on" or "right_on" is not
supported. This feature will be supported starting Spark 1.6. Refer to
Spark issue https://issues.apache.org/jira/browse/SPARK-10246 for more
information.
By default, the "copy" argument in the merge function does not apply to
the Spark framework but has been left in the function for completeness.