Open source Spark Structured Streaming doesn’t have a JDBC sink. You can implement your own ForEachWriter, or you can use my sink from here https://github.com/GaalDornick/spark/blob/master/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/JdbcSink.scala https://github.com/GaalDornick/spark/blob/master/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/JDBCSinkLog.scala
From: kant kodali <kanth...@gmail.com> Date: Wednesday, June 20, 2018 at 9:10 PM To: "user @spark" <user@spark.apache.org> Subject: Does Spark Structured Streaming have a JDBC sink or Do I need to use ForEachWriter? Hi All, Does Spark Structured Streaming have a JDBC sink or Do I need to use ForEachWriter? I see the following code in this link<https://urldefense.proofpoint.com/v2/url?u=https-3A__databricks.com_blog_2016_07_28_structured-2Dstreaming-2Din-2Dapache-2Dspark.html&d=DwMFaQ&c=pLULRYW__RtkwsQUPxJVDGboCTdgji3AcHNJU0BpTJE&r=F2RNeGILvLdBxn7RJ4effes_QFIiEsoVM2rPi9qX1DKow5HQSjq0_WhIW109SXQ4&m=FcA0Wjzr2amsglZyxyPuqiiwri2w5og155ep4snnVL0&s=06Y3TaQOdWi2I1xcJfXfNqg0k4tjAwsomT87XQVBQ5g&e=> and I can see that database name can be passed in the connection string, however, I wonder how to pass a table name? inputDF.groupBy($"action", window($"time", "1 hour")).count() .writeStream.format("jdbc") .save("jdbc:mysql//…") Thanks, Kant ________________________________________________________ The information contained in this e-mail is confidential and/or proprietary to Capital One and/or its affiliates and may only be used solely in performance of work or services for Capital One. The information transmitted herewith is intended only for use by the individual or entity to which it is addressed. If the reader of this message is not the intended recipient, you are hereby notified that any review, retransmission, dissemination, distribution, copying or other use of, or taking of any action in reliance upon this information is strictly prohibited. If you have received this communication in error, please contact the sender and delete the material from your computer.
