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https://issues.apache.org/jira/browse/SPARK-29361?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16944987#comment-16944987
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Jungtaek Lim commented on SPARK-29361:
--------------------------------------
The plan for now is overloading below methods marked as "DeveloperApi" to have
boolean field "isStreaming", like SQLContext.internalCreateDataFrame which is
not a public API.
> SQLContext
{code}
def createDataFrame(rowRDD: JavaRDD[Row], schema: StructType, boolean
isStreaming): DataFrame
def createDataFrame(rowRDD: JavaRDD[Row], schema: StructType, boolean
isStreaming): DataFrame
{code}
> SparkSession
{code}
def createDataFrame(rowRDD: RDD[Row], schema: StructType, boolean isStreaming):
DataFrame
def createDataFrame(rowRDD: JavaRDD[Row], schema: StructType, boolean
isStreaming): DataFrame
{code}
since they finally calls SparkSession.internalCreateDataFrame which has
isStreaming field, it is just passing additional parameter. Given we don't
allow default parameter for developer api to support interop with Java, 4 new
methods should be introduced instead of fixing existing 4 methods.
> Enable streaming source support on DSv1
> ----------------------------------------
>
> Key: SPARK-29361
> URL: https://issues.apache.org/jira/browse/SPARK-29361
> Project: Spark
> Issue Type: Improvement
> Components: Spark Core
> Affects Versions: 3.0.0
> Reporter: Jungtaek Lim
> Priority: Major
>
> DSv2 is heavily diverged between Spark 2.x and 3.x, and started from some
> times before, Spark community suggested to not deal with old DSv2 and wait
> for new DSv2.
> The only consistent option between Spark 2.x and 3.x is DSv1, but supporting
> streaming source is missed in DSv1. This issue tracks the effort to add
> support for streaming source on DSv1.
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