felipepessoto commented on code in PR #12967: URL: https://github.com/apache/gluten/pull/12967#discussion_r3992030847
########## backends-velox/src-delta40/test/scala/org/apache/spark/sql/delta/GlutenDeltaStatsSuite.scala: ########## @@ -0,0 +1,68 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one or more + * contributor license agreements. See the NOTICE file distributed with + * this work for additional information regarding copyright ownership. + * The ASF licenses this file to You under the Apache License, Version 2.0 + * (the "License"); you may not use this file except in compliance with + * the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +package org.apache.spark.sql.delta + +import org.apache.spark.sql.Row +import org.apache.spark.sql.delta.sources.DeltaSQLConf +import org.apache.spark.sql.delta.test.DeltaSQLCommandTest + +class GlutenDeltaStatsSuite extends DeltaSQLCommandTest { + + import testImplicits._ + + test("collect TIMESTAMP_NTZ statistics natively") { + withSQLConf(DeltaSQLConf.DELTA_COLLECT_STATS.key -> "true") { + withTempDir { + dir => + val path = dir.getCanonicalPath + val data = Seq( + "1969-12-31 23:59:59.999999", + "2024-01-01 00:00:00.123456" + ).toDF("input") + .selectExpr( + "cast(input as timestamp_ntz) as ts", + "struct(cast(input as timestamp_ntz) as ts) as nested") + + data.coalesce(1).write.format("delta").save(path) + + val actual = spark.read.format("delta").load(path) + assert(actual.collect().toSet == data.collect().toSet) + + val addFiles = DeltaLog.forTable(spark, path).update().allFiles.collect() + assert(addFiles.length == 1) + val stats = addFiles.head.stats + assert(stats != null) + val statsValues = Seq(stats) + .toDF("stats") + .selectExpr( + "get_json_object(stats, '$.minValues.ts')", + "get_json_object(stats, '$.minValues.nested.ts')", + "get_json_object(stats, '$.maxValues.ts')", + "get_json_object(stats, '$.maxValues.nested.ts')" + ) + .head() + assert( + statsValues == Row( + "1969-12-31T23:59:59.999", + "1969-12-31T23:59:59.999", + "2024-01-01T00:00:00.123", + "2024-01-01T00:00:00.123"), + stats) Review Comment: Thanks @rui-mo and @zhztheplayer. Implemented it. Both Delta 3.3 and 4.x regression suites now capture the statistics tracker's task-local transformed plan, assert that at least one plan was observed for the write, and verify that every captured plan contains `HashAggregateExecTransformer`. This prevents a write that falls back entirely to vanilla Delta from silently passing. The hook is enabled only in test mode. These local-mode tests capture plans in a thread-safe queue, and the observer is scoped around the write with cleanup in `finally`. Normal production execution does not invoke the callback. -- 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. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected] --------------------------------------------------------------------- To unsubscribe, e-mail: [email protected] For additional commands, e-mail: [email protected]
