[
https://issues.apache.org/jira/browse/SPARK-25834?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Sachin Ramachandra Setty updated SPARK-25834:
---------------------------------------------
Description:
Execute the below program and can see there is no AnalysisException thrown
import java.sql.Timestamp
import org.apache.spark.sql.functions.\{col, expr}
import org.apache.spark.sql.streaming.Trigger
val lines_stream1 = spark.readStream.
format("kafka").
option("kafka.bootstrap.servers", "10.18.99.58:21005,10.18.99.55:21005").
option("subscribe", "test11").
option("includeTimestamp", true).
load().
selectExpr("CAST (value AS String)","CAST(timestamp AS
TIMESTAMP)").as[(String,Timestamp)].
select(col("value") as("data"),col("timestamp") as("recordTime")).
select("data","recordTime").
withWatermark("recordTime", "20 seconds ")
val lines_stream2 = spark.readStream.
format("kafka").
option("kafka.bootstrap.servers", "10.18.99.58:21005,10.18.99.55:21005").
option("subscribe", "test22").
option("includeTimestamp", value = true).
load().
selectExpr("CAST (value AS String)","CAST(timestamp AS
TIMESTAMP)").as[(String,Timestamp)].
select(col("value") as("data1"),col("timestamp") as("recordTime1")).
select("data1","recordTime1").
withWatermark("recordTime1", "20 seconds ")
val query = lines_stream1.join(lines_stream2, expr (
"""
| data == data1 and
| recordTime1 >= recordTime and
| recordTime1 <= recordTime + interval 20 seconds
""".stripMargin),"*left*").
writeStream.
option("truncate","false").
outputMode("*update*").
format("console").
trigger(Trigger.ProcessingTime ("2 second")).
start()
query.awaitTermination()
As per the document
[https://spark.apache.org/docs/2.3.2/structured-streaming-programming-guide.html#stream-stream-joins]
joins are only supported in append mode
*As of Spark 2.3, you can use joins only when the query is in Append output
mode. Other output modes are not yet supported.*
Inner join is working as per spark documentation but it is failed for outer
joins
was:
Execute the below program and can see there is no AnalysisException thrown
import java.sql.Timestamp
import org.apache.spark.sql.functions.\{col, expr}
import org.apache.spark.sql.streaming.Trigger
val lines_stream1 = spark.readStream.
format("kafka").
option("kafka.bootstrap.servers", "10.18.99.58:21005,10.18.99.55:21005").
option("subscribe", "test11").
option("includeTimestamp", true).
load().
selectExpr("CAST (value AS String)","CAST(timestamp AS
TIMESTAMP)").as[(String,Timestamp)].
select(col("value") as("data"),col("timestamp") as("recordTime")).
select("data","recordTime").
withWatermark("recordTime", "20 seconds ")
val lines_stream2 = spark.readStream.
format("kafka").
option("kafka.bootstrap.servers", "10.18.99.58:21005,10.18.99.55:21005").
option("subscribe", "test22").
option("includeTimestamp", value = true).
load().
selectExpr("CAST (value AS String)","CAST(timestamp AS
TIMESTAMP)").as[(String,Timestamp)].
select(col("value") as("data1"),col("timestamp") as("recordTime1")).
select("data1","recordTime1").
withWatermark("recordTime1", "20 seconds ")
val query = lines_stream1.join(lines_stream2, expr (
"""
| data == data1 and
| recordTime1 >= recordTime and
| recordTime1 <= recordTime + interval 20 seconds
""".stripMargin),"right").
writeStream.
option("truncate","false").
outputMode("update").
format("console").
trigger(Trigger.ProcessingTime ("2 second")).
start()
query.awaitTermination()
As per the document
[https://spark.apache.org/docs/2.3.2/structured-streaming-programming-guide.html#stream-stream-joins]
joins are only supported in append mode
*As of Spark 2.3, you can use joins only when the query is in Append output
mode. Other output modes are not yet supported.*
Inner join is working as per spark documentation but it is failed for outer
joins
> stream stream Outer join with update mode is not throwing exception
> -------------------------------------------------------------------
>
> Key: SPARK-25834
> URL: https://issues.apache.org/jira/browse/SPARK-25834
> Project: Spark
> Issue Type: Bug
> Components: Structured Streaming
> Affects Versions: 2.3.1, 2.3.2
> Reporter: Sachin Ramachandra Setty
> Priority: Minor
>
> Execute the below program and can see there is no AnalysisException thrown
> import java.sql.Timestamp
> import org.apache.spark.sql.functions.\{col, expr}
> import org.apache.spark.sql.streaming.Trigger
> val lines_stream1 = spark.readStream.
> format("kafka").
> option("kafka.bootstrap.servers", "10.18.99.58:21005,10.18.99.55:21005").
> option("subscribe", "test11").
> option("includeTimestamp", true).
> load().
> selectExpr("CAST (value AS String)","CAST(timestamp AS
> TIMESTAMP)").as[(String,Timestamp)].
> select(col("value") as("data"),col("timestamp") as("recordTime")).
> select("data","recordTime").
> withWatermark("recordTime", "20 seconds ")
> val lines_stream2 = spark.readStream.
> format("kafka").
> option("kafka.bootstrap.servers", "10.18.99.58:21005,10.18.99.55:21005").
> option("subscribe", "test22").
> option("includeTimestamp", value = true).
> load().
> selectExpr("CAST (value AS String)","CAST(timestamp AS
> TIMESTAMP)").as[(String,Timestamp)].
> select(col("value") as("data1"),col("timestamp") as("recordTime1")).
> select("data1","recordTime1").
> withWatermark("recordTime1", "20 seconds ")
> val query = lines_stream1.join(lines_stream2, expr (
> """
> | data == data1 and
> | recordTime1 >= recordTime and
> | recordTime1 <= recordTime + interval 20 seconds
> """.stripMargin),"*left*").
> writeStream.
> option("truncate","false").
> outputMode("*update*").
> format("console").
> trigger(Trigger.ProcessingTime ("2 second")).
> start()
> query.awaitTermination()
> As per the document
> [https://spark.apache.org/docs/2.3.2/structured-streaming-programming-guide.html#stream-stream-joins]
>
> joins are only supported in append mode
> *As of Spark 2.3, you can use joins only when the query is in Append output
> mode. Other output modes are not yet supported.*
> Inner join is working as per spark documentation but it is failed for outer
> joins
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