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https://issues.apache.org/jira/browse/BEAM-4049?focusedWorklogId=90850&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-90850
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ASF GitHub Bot logged work on BEAM-4049:
----------------------------------------

                Author: ASF GitHub Bot
            Created on: 13/Apr/18 15:45
            Start Date: 13/Apr/18 15:45
    Worklog Time Spent: 10m 
      Work Description: aromanenko-dev commented on a change in pull request 
#5112: [BEAM-4049] Improve CassandraIO write throughput by performing async 
queries
URL: https://github.com/apache/beam/pull/5112#discussion_r181429894
 
 

 ##########
 File path: 
sdks/java/io/cassandra/src/main/java/org/apache/beam/sdk/io/cassandra/CassandraServiceImpl.java
 ##########
 @@ -350,19 +353,21 @@ public TokenRange(
    * Writer storing an entity into Apache Cassandra database.
    */
   protected class WriterImpl<T> implements Writer<T> {
-
+    private static final int CONCURRENT_ASYNC_QUERIES = 100;
 
 Review comment:
   Does this number can be dependent on any configure option (like number of 
(v)nodes, connections, etc)?

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Issue Time Tracking
-------------------

    Worklog Id:     (was: 90850)
    Time Spent: 20m  (was: 10m)

> Improve write throughput of CassandraIO
> ---------------------------------------
>
>                 Key: BEAM-4049
>                 URL: https://issues.apache.org/jira/browse/BEAM-4049
>             Project: Beam
>          Issue Type: Improvement
>          Components: io-java-cassandra
>    Affects Versions: 2.4.0
>            Reporter: Alexander Dejanovski
>            Assignee: Jean-Baptiste Onofré
>            Priority: Major
>              Labels: performance
>          Time Spent: 20m
>  Remaining Estimate: 0h
>
> The CassandraIO currently uses the mapper to perform writes in a synchronous 
> fashion. 
> This implies that writes are serialized and is a very suboptimal way of 
> writing to Cassandra.
> The IO should use the saveAsync() method instead of save() and should wait 
> for completion each time 100 queries are in flight, in order to avoid 
> overwhelming clusters.



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