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https://issues.apache.org/jira/browse/SPARK-24630?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16561762#comment-16561762
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Genmao Yu edited comment on SPARK-24630 at 7/30/18 11:27 AM:
-------------------------------------------------------------
Practice to add the StreamSQL DDL, like this:
{code:java}
spark-sql> create source stream service_logs with
("type"="kafka","bootstrap.servers"="x.x.x.x:9092", "topic"="service_log");
Time taken: 1.833 seconds
spark-sql> desc service_logs;
key binary NULL
value binary NULL
topic string NULL
partition int NULL
offset bigint NULL
timestamp timestamp NULL
timestampType int NULL
Time taken: 0.394 seconds, Fetched 7 row(s)
spark-sql> create sink stream analysis with ("type"="kafka",
"outputMode"="complete", "bootstrap.servers"="x.x.x.x:9092",
"topic"="analysis", "checkpointLocation"="hdfs:///tmp/cp0");
Time taken: 0.027 seconds
spark-sql> insert into analysis select key, value, count(*) from service_logs
group by key, value;
Time taken: 0.355 seconds
{code}
was (Author: unclegen):
Try to add the StreamSQL DDL, like this:
{code:java}
spark-sql> create source stream service_logs with
("type"="kafka","bootstrap.servers"="x.x.x.x:9092", "topic"="service_log");
Time taken: 1.833 seconds
spark-sql> desc service_logs;
key binary NULL
value binary NULL
topic string NULL
partition int NULL
offset bigint NULL
timestamp timestamp NULL
timestampType int NULL
Time taken: 0.394 seconds, Fetched 7 row(s)
spark-sql> create sink stream analysis with ("type"="kafka",
"outputMode"="complete", "bootstrap.servers"="x.x.x.x:9092",
"topic"="analysis", "checkpointLocation"="hdfs:///tmp/cp0");
Time taken: 0.027 seconds
spark-sql> insert into analysis select key, value, count(*) from service_logs
group by key, value;
Time taken: 0.355 seconds
{code}
> SPIP: Support SQLStreaming in Spark
> -----------------------------------
>
> Key: SPARK-24630
> URL: https://issues.apache.org/jira/browse/SPARK-24630
> Project: Spark
> Issue Type: Improvement
> Components: Structured Streaming
> Affects Versions: 2.2.0, 2.2.1
> Reporter: Jackey Lee
> Priority: Minor
> Labels: SQLStreaming
> Attachments: SQLStreaming SPIP.pdf
>
>
> At present, KafkaSQL, Flink SQL(which is actually based on Calcite),
> SQLStream, StormSQL all provide a stream type SQL interface, with which users
> with little knowledge about streaming, can easily develop a flow system
> processing model. In Spark, we can also support SQL API based on
> StructStreamig.
> To support for SQL Streaming, there are two key points:
> 1, Analysis should be able to parse streaming type SQL.
> 2, Analyzer should be able to map metadata information to the corresponding
> Relation.
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