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ASF GitHub Bot logged work on HIVE-26498: ----------------------------------------- Author: ASF GitHub Bot Created on: 09/Sep/22 13:02 Start Date: 09/Sep/22 13:02 Worklog Time Spent: 10m Work Description: kasakrisz commented on code in PR #3552: URL: https://github.com/apache/hive/pull/3552#discussion_r967046476 ########## ql/src/java/org/apache/hadoop/hive/ql/optimizer/calcite/rules/views/HiveMaterializedViewUtils.java: ########## @@ -160,11 +181,79 @@ public static Boolean isOutdatedMaterializedView( return false; } + private static Boolean isOutdatedMaterializedView( + MaterializationSnapshot snapshot, Hive db, + Set<TableName> tablesUsed, Table materializedViewTable) throws HiveException { + List<String> tablesUsedNames = tablesUsed.stream() + .map(tableName -> TableName.getDbTable(tableName.getDb(), tableName.getTable())) + .collect(Collectors.toList()); + + Map<String, String> snapshotMap = snapshot.getTableSnapshots(); + if (snapshotMap == null || snapshotMap.isEmpty()) { + LOG.debug("Materialized view " + materializedViewTable.getFullyQualifiedName() + + " ignored for rewriting as we could not obtain current snapshot ids"); + return null; + } + + Set<String> storedTablesUsed = materializedViewTable.getMVMetadata().getSourceTableFullNames(); + for (String fullyQualifiedTableName : tablesUsedNames) { + // Note. If the materialized view does not contain a table that is contained in the query, + // we do not need to check whether that specific table is outdated or not. If a rewriting + // is produced in those cases, it is because that additional table is joined with the + // existing tables with an append-columns only join, i.e., PK-FK + not null. + if (!storedTablesUsed.contains(fullyQualifiedTableName)) { + continue; + } + + Table table = db.getTable(fullyQualifiedTableName); + if (table.getStorageHandler() == null) { + LOG.debug("Materialized view {} ignored for rewriting as we could not storage handler of table {}", + materializedViewTable.getFullyQualifiedName(), fullyQualifiedTableName); + return null; + } + String currentTableSnapshot = table.getStorageHandler().getCurrentSnapshotId(table); + if (isBlank(currentTableSnapshot)) { Review Comment: Refactored this API and it's usage: * Renamed `getCurrentSnapshotId` to `getCurrentSnapshotContext` and return a `SnapshotContext` object wraps the `long snapshotId` instead of `String` * `getCurrentSnapshotContext` default implementation returns `null` and the Iceberg implementation can also return `null` if the table is empty so no current snapshot exists. * introduced `boolean areSnapshotsSupported` API method to distinguish between empty table and snapshots are not supported by the storage handler. * Adjusted the usage at client side when checking MV is up-to-date. Issue Time Tracking ------------------- Worklog Id: (was: 807393) Time Spent: 4h 50m (was: 4h 40m) > Implement MV maintenance with Iceberg sources using full rebuild > ---------------------------------------------------------------- > > Key: HIVE-26498 > URL: https://issues.apache.org/jira/browse/HIVE-26498 > Project: Hive > Issue Type: Sub-task > Components: Materialized views > Reporter: Krisztian Kasa > Assignee: Krisztian Kasa > Priority: Major > Labels: pull-request-available > Time Spent: 4h 50m > Remaining Estimate: 0h > > {code} > set hive.support.concurrency=true; > set hive.txn.manager=org.apache.hadoop.hive.ql.lockmgr.DbTxnManager; > create external table tbl_ice(a int, b string, c int) stored by iceberg > stored as orc tblproperties ('format-version'='2'); > insert into tbl_ice values (1, 'one', 50), (2, 'two', 51), (3, 'three', 52), > (4, 'four', 53), (5, 'five', 54); > create materialized view mat1 as > select b, c from tbl_ice where c > 52; > insert into tbl_ice values (111, 'one', 55), (333, 'two', 56); > explain cbo > alter materialized view mat1 rebuild; > alter materialized view mat1 rebuild; > {code} > MV full rebuild plan > {code} > CBO PLAN: > HiveProject(b=[$1], c=[$2]) > HiveFilter(condition=[>($2, 52)]) > HiveTableScan(table=[[default, tbl_ice]], table:alias=[tbl_ice]) > {code} -- This message was sent by Atlassian Jira (v8.20.10#820010)