[ https://issues.apache.org/jira/browse/SPARK-22552?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Sean Owen reassigned SPARK-22552: --------------------------------- Assignee: (was: Shixiong Zhu) Priority: Minor (was: Major) Fix Version/s: (was: 2.2.2) (was: 2.3.0) > Cannot Union multiple kafka streams > ----------------------------------- > > Key: SPARK-22552 > URL: https://issues.apache.org/jira/browse/SPARK-22552 > Project: Spark > Issue Type: Bug > Components: Structured Streaming > Affects Versions: 2.2.0 > Reporter: sachin malhotra > Priority: Minor > > When unioning multiple kafka streams I learned that the resulting dataframe > only contains the data that exists in the dataframe that initiated the union > i.e. if df1.union(df2) (or a chaining of unions) the result will only contain > the rows that exist in df1. > Now to be more specific this occurs when data comes in during the same > micro-batch for all three streams. If you wait for each single row to be > processed for each stream the union does return the right results. > For example, if you have 3 kafka streams and you: > send message 1 to stream 1, WAIT for batch to finish, send message 2 to > stream 2, wait for batch to finish, send message 3 to stream 3, wait for > batch to finish. Union will return the right data. > But if you, > send message 1,2,3, WAIT for batch to finish, you only receive data in the > first stream when unioning all three dataframes -- This message was sent by Atlassian JIRA (v6.4.14#64029) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org