Kinesis Analytics

Ryan Nienhuis shows how to write SQL against Amazon Kinesis queues:

In your application code, you interact primarily with in-application streams. For instance, a source in-application stream represents your configured Amazon Kinesis stream or Firehose delivery stream in the application, which by default is named “SOURCE_SQL_STREAM_001”. A destination in-application stream represents your configured destinations, which by default is named “DESTINATION_SQL_STREAM”. When interacting with in-application streams, the following is true:

  • The SELECT statement is used in the context of an INSERT statement. That is, when you select rows from one in-application stream, you insert results into another in-application stream.
  • The INSERT statement is always used in the context of a pump. That is, you use pumps to write to an in-application stream. A pump is the mechanism used to make an INSERT statement continuous.

There are two separate SQL statements in the template you selected in the first walkthrough. The first statement creates a target in-application stream for the SQL results; the second statement creates a PUMP for inserting into that stream and includes the SELECT statement.

This is worth looking into if you use AWS and have a need for streaming data.

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