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Presto Queries are not working with Hive Table data at S3 #5375
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I have
Hive connector config
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@rajitsaha this should be posted to mailing list instead. Here we should post only well defined (on low level) issues, e.g. "Presto fails planning when there are two identical window functions". |
I believe your issue is with You can use |
@rajitsaha : could you please tell us whether @rschlussel's suggestion worked for you? If so, please close this issue. Thanks! |
Also should be addressed by https://github.com/prestodb/presto/pull/5417/files for the next release. |
Modifying this parameter node-scheduler.network-topology=flat works for me! Thx guys! |
Hi
I have created Hortonworks 2.4 cluster with AWS EC2 nodes with Ambaru 2.2.2. Then deployed
Teradata Presto "presto-server-rpm-0.141t-1.x86_64". I have created data with TPCDS . And same data is copied both in HDFS and S3. I have two Hive external tables one pointing to HDFS data ( Hive table : tpcds_bin_partitioned_orc_10.web_sales ) and one pointing to S3 data ( Hive Table : s3_tpcds_bin_partitioned_orc_10.web_sales )
The presto query with Hive table pointing to HDFS data is working fine but Hive table pointing to S3 data is failing with following error
com.facebook.presto.spi.PrestoException: No nodes available to run query at com.facebook.presto.execution.scheduler.SimpleNodeSelector.computeAssignments(SimpleNodeSelector.java:120) at com.facebook.presto.execution.scheduler.DynamicSplitPlacementPolicy.computeAssignments(DynamicSplitPlacementPolicy.java:42) at com.facebook.presto.execution.scheduler.SourcePartitionedScheduler.schedule(SourcePartitionedScheduler.java:97) at com.facebook.presto.execution.scheduler.SqlQueryScheduler.schedule(SqlQueryScheduler.java:326) at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511) at java.util.concurrent.FutureTask.run(FutureTask.java:266) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617) at java.lang.Thread.run(Thread.java:745)
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