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Posted to issues@spark.apache.org by "Jungtaek Lim (JIRA)" <ji...@apache.org> on 2019/04/11 08:46:00 UTC
[jira] [Updated] (SPARK-26154) Stream-stream joins - left outer
join gives inconsistent output
[ https://issues.apache.org/jira/browse/SPARK-26154?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Jungtaek Lim updated SPARK-26154:
---------------------------------
Priority: Blocker (was: Critical)
> Stream-stream joins - left outer join gives inconsistent output
> ---------------------------------------------------------------
>
> Key: SPARK-26154
> URL: https://issues.apache.org/jira/browse/SPARK-26154
> Project: Spark
> Issue Type: Bug
> Components: Structured Streaming
> Affects Versions: 2.3.2
> Environment: Spark version - Spark 2.3.2
> OS- Suse 11
> Reporter: Haripriya
> Priority: Blocker
> Labels: correctness
>
> Stream-stream joins using left outer join gives inconsistent output
> The data processed once, is being processed again and gives null value. In Batch 2, the input data "3" is processed. But again in batch 6, null value is provided for same data
> Steps
> In spark-shell
> {code:java}
> scala> import org.apache.spark.sql.functions.{col, expr}
> import org.apache.spark.sql.functions.{col, expr}
> scala> import org.apache.spark.sql.streaming.Trigger
> import org.apache.spark.sql.streaming.Trigger
> scala> val lines_stream1 = spark.readStream.
> | format("kafka").
> | option("kafka.bootstrap.servers", "ip:9092").
> | option("subscribe", "topic1").
> | 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", "5 seconds ")
> lines_stream1: org.apache.spark.sql.Dataset[org.apache.spark.sql.Row] = [data: string, recordTime: timestamp]
> scala> val lines_stream2 = spark.readStream.
> | format("kafka").
> | option("kafka.bootstrap.servers", "ip:9092").
> | option("subscribe", "topic2").
> | 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", "10 seconds ")
> lines_stream2: org.apache.spark.sql.Dataset[org.apache.spark.sql.Row] = [data1: string, recordTime1: timestamp]
> scala> val query = lines_stream1.join(lines_stream2, expr (
> | """
> | | data == data1 and
> | | recordTime1 >= recordTime and
> | | recordTime1 <= recordTime + interval 5 seconds
> | """.stripMargin),"left").
> | writeStream.
> | option("truncate","false").
> | outputMode("append").
> | format("console").option("checkpointLocation", "/tmp/leftouter/").
> | trigger(Trigger.ProcessingTime ("5 seconds")).
> | start()
> query: org.apache.spark.sql.streaming.StreamingQuery = org.apache.spark.sql.execution.streaming.StreamingQueryWrapper@1a48f55b
> {code}
> Step2 : Start producing data
> kafka-console-producer.sh --broker-list ip:9092 --topic topic1
> >1
> >2
> >3
> >4
> >5
> >aa
> >bb
> >cc
> kafka-console-producer.sh --broker-list ip:9092 --topic topic2
> >2
> >2
> >3
> >4
> >5
> >aa
> >cc
> >ee
> >ee
>
> Output obtained:
> {code:java}
> Batch: 0
> -------------------------------------------
> +----+----------+-----+-----------+
> |data|recordTime|data1|recordTime1|
> +----+----------+-----+-----------+
> +----+----------+-----+-----------+
> -------------------------------------------
> Batch: 1
> -------------------------------------------
> +----+----------+-----+-----------+
> |data|recordTime|data1|recordTime1|
> +----+----------+-----+-----------+
> +----+----------+-----+-----------+
> -------------------------------------------
> Batch: 2
> -------------------------------------------
> +----+-----------------------+-----+-----------------------+
> |data|recordTime |data1|recordTime1 |
> +----+-----------------------+-----+-----------------------+
> |3 |2018-11-22 20:09:35.053|3 |2018-11-22 20:09:36.506|
> |2 |2018-11-22 20:09:31.613|2 |2018-11-22 20:09:33.116|
> +----+-----------------------+-----+-----------------------+
> -------------------------------------------
> Batch: 3
> -------------------------------------------
> +----+-----------------------+-----+-----------------------+
> |data|recordTime |data1|recordTime1 |
> +----+-----------------------+-----+-----------------------+
> |4 |2018-11-22 20:09:38.654|4 |2018-11-22 20:09:39.818|
> +----+-----------------------+-----+-----------------------+
> -------------------------------------------
> Batch: 4
> -------------------------------------------
> +----+-----------------------+-----+-----------------------+
> |data|recordTime |data1|recordTime1 |
> +----+-----------------------+-----+-----------------------+
> |5 |2018-11-22 20:09:44.809|5 |2018-11-22 20:09:47.452|
> |1 |2018-11-22 20:09:22.662|null |null |
> +----+-----------------------+-----+-----------------------+
> -------------------------------------------
> Batch: 5
> -------------------------------------------
> +----+-----------------------+-----+-----------------------+
> |data|recordTime |data1|recordTime1 |
> +----+-----------------------+-----+-----------------------+
> |cc |2018-11-22 20:10:06.654|cc |2018-11-22 20:10:08.701|
> |aa |2018-11-22 20:10:01.536|aa |2018-11-22 20:10:03.259|
> +----+-----------------------+-----+-----------------------+
> -------------------------------------------
> Batch: 6
> -------------------------------------------
> +----+-----------------------+-----+-----------+
> |data|recordTime |data1|recordTime1|
> +----+-----------------------+-----+-----------+
> |3 |2018-11-22 20:09:35.053|null |null |
> +----+-----------------------+-----+-----------+
> {code}
>
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