[ https://issues.apache.org/jira/browse/HIVE-18111?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Rui Li updated HIVE-18111: -------------------------- Resolution: Fixed Fix Version/s: 3.0.0 Status: Resolved (was: Patch Available) Pushed to master. Thanks Sahil for reviewing. > Fix temp path for Spark DPP sink > -------------------------------- > > Key: HIVE-18111 > URL: https://issues.apache.org/jira/browse/HIVE-18111 > Project: Hive > Issue Type: Bug > Components: Spark > Reporter: Rui Li > Assignee: Rui Li > Fix For: 3.0.0 > > Attachments: HIVE-18111.1.patch, HIVE-18111.2.patch, > HIVE-18111.3.patch, HIVE-18111.4.patch, HIVE-18111.5.patch, HIVE-18111.5.patch > > > Before HIVE-17877, each DPP sink has only one target work. The output path of > a DPP work is {{TMP_PATH/targetWorkId/dppWorkId}}. When we do the pruning, > each map work reads DPP outputs under {{TMP_PATH/targetWorkId}}. > After HIVE-17877, each DPP sink can have multiple target works. It's possible > that a map work needs to read DPP outputs from multiple > {{TMP_PATH/targetWorkId}}. To solve this, I think we can have a DPP output > path specific to each query, e.g. {{QUERY_TMP_PATH/dpp_output}}. Each DPP > work outputs to {{QUERY_TMP_PATH/dpp_output/dppWorkId}}. And each map work > reads from {{QUERY_TMP_PATH/dpp_output}}. -- This message was sent by Atlassian JIRA (v6.4.14#64029)