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ASF GitHub Bot logged work on HIVE-25102: ----------------------------------------- Author: ASF GitHub Bot Created on: 12/May/21 10:39 Start Date: 12/May/21 10:39 Worklog Time Spent: 10m Work Description: marton-bod commented on a change in pull request #2261: URL: https://github.com/apache/hive/pull/2261#discussion_r630926018 ########## File path: iceberg/iceberg-handler/src/main/java/org/apache/iceberg/mr/Catalogs.java ########## @@ -284,4 +333,40 @@ private static String getCatalogType(Configuration conf, String catalogName) { } } } + + public static class TableCache { + private static final Cache<String, Table> tableCache = Caffeine.newBuilder() + .expireAfterAccess(12, TimeUnit.HOURS).build(); Review comment: Shall we decrease this a bit? Perhaps 30 minutes would also suffice? Not sure what a "long" compilation time means for Hive usually. Decreasing it could give us some extra safety against cache pollution in case the hook-based eviction doesn't always go smoothly. Worst case in a very long compilation scenario, we might reload the table again eventually, but I'm assuming compilations that take 30+ minutes should be pretty rare? -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org Issue Time Tracking ------------------- Worklog Id: (was: 595201) Time Spent: 1h 20m (was: 1h 10m) > Cache Iceberg table objects within same query > --------------------------------------------- > > Key: HIVE-25102 > URL: https://issues.apache.org/jira/browse/HIVE-25102 > Project: Hive > Issue Type: Improvement > Reporter: László Pintér > Assignee: László Pintér > Priority: Major > Labels: pull-request-available > Time Spent: 1h 20m > Remaining Estimate: 0h > > We run Catalogs.loadTable(configuration, props) plenty of times which is > costly. > We should: > - Cache it maybe even globally based on the queryId > - Make sure that the query uses one snapshot during the whole execution of a > single query -- This message was sent by Atlassian Jira (v8.3.4#803005)