yihua commented on code in PR #19164: URL: https://github.com/apache/hudi/pull/19164#discussion_r3618423874
########## hudi-spark-datasource/hudi-spark-common/src/main/scala/org/apache/hudi/util/CachingIterator.scala: ########## @@ -26,6 +26,10 @@ package org.apache.hudi.util * * NOTE: [[hasNext]] and [[next]] are purposefully marked as final, requiring iteration * semantic to be implemented t/h overriding of a single [[doHasNext]] method + * + * TODO: this Scala trait has no production users -- the reader path uses the Java Review Comment: Fixed the description: Impact now notes the two comment-only production edits (CachingIterator TODO, SchemaProvider javadoc), and the Summary drops the removed duplicate-key-throw bullet. ########## hudi-spark-datasource/hudi-spark-common/src/test/scala/org/apache/hudi/TestSparkDatasourceSmallClasses.scala: ########## @@ -0,0 +1,159 @@ +/* + * 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.hudi + +import org.apache.hudi.exception.HoodieException +import org.apache.hudi.util.CachingIterator + +import org.apache.spark.sql.HoodieSparkCatalogUtils +import org.apache.spark.sql.connector.catalog.{Identifier, Table, TableCapability, TableCatalog} +import org.apache.spark.sql.connector.expressions.{Expressions, Transform} +import org.apache.spark.sql.connector.write.LogicalWriteInfo +import org.apache.spark.sql.hudi.catalog.BasicStagedTable +import org.apache.spark.sql.hudi.command.HoodieSparkValidateDuplicateKeyRecordMerger +import org.apache.spark.sql.types.{DataTypes, StructType} +import org.junit.jupiter.api.Assertions.{assertEquals, assertFalse, assertThrows, assertTrue, fail} +import org.junit.jupiter.api.Test +import org.mockito.Mockito.{mock, verify, when} + +/** + * Coverage for a handful of small, otherwise-untested classes in the Spark datasource: + * [[CachingIterator]], [[HoodieSparkCatalogUtils]], [[BasicStagedTable]] and + * [[HoodieSparkValidateDuplicateKeyRecordMerger]]. + */ +class TestSparkDatasourceSmallClasses { + + @Test + def testCachingIteratorYieldsAllElements(): Unit = { + val it = new SeqCachingIterator(Seq("a", "b", "c")) + val collected = scala.collection.mutable.ArrayBuffer[String]() + while (it.hasNext) { + collected += it.next + } + assertEquals(Seq("a", "b", "c"), collected.toSeq) + assertFalse(it.hasNext) + } + + @Test + def testCachingIteratorHasNextIsIdempotent(): Unit = { + val source = new CountingIterator(Seq("x", "y")) + val it = new SeqCachingIterator(source) + // Repeated hasNext without next must not advance the underlying iterator. + assertTrue(it.hasNext) + assertTrue(it.hasNext) + assertTrue(it.hasNext) + assertEquals(1, source.advances) + assertEquals("x", it.next) + assertEquals(1, source.advances) + assertTrue(it.hasNext) + assertEquals(2, source.advances) + assertEquals("y", it.next) + assertFalse(it.hasNext) + } + + @Test + def testMatchBucketTransformMatches(): Unit = { + val transform: Transform = Expressions.bucket(8, "id") + HoodieSparkCatalogUtils.MatchBucketTransform.unapply(transform) match { + case Some((numBuckets, refs, _)) => + assertEquals(8, numBuckets) + assertEquals("id", refs.head.fieldNames()(0)) + case None => fail("expected a bucket transform to match") + } + } + + @Test + def testMatchBucketTransformDoesNotMatchOthers(): Unit = { + val transform: Transform = Expressions.identity("id") + assertTrue(HoodieSparkCatalogUtils.MatchBucketTransform.unapply(transform).isEmpty) + } + + @Test + def testBasicStagedTableDelegatesToUnderlyingTable(): Unit = { + val ident = Identifier.of(Array("db"), "tbl") + val table = mock(classOf[Table]) + val catalog = mock(classOf[TableCatalog]) + val schema = new StructType().add("id", DataTypes.IntegerType) + when(table.schema()).thenReturn(schema) + when(table.partitioning()).thenReturn(Array.empty[Transform]) + when(table.capabilities()).thenReturn(java.util.EnumSet.of(TableCapability.BATCH_WRITE)) + when(table.properties()).thenReturn(java.util.Collections.singletonMap("k", "v")) + + val staged = BasicStagedTable(ident, table, catalog) + assertEquals("tbl", staged.name()) + assertEquals(schema, staged.schema()) + assertEquals(0, staged.partitioning().length) + assertTrue(staged.capabilities().contains(TableCapability.BATCH_WRITE)) + assertEquals("v", staged.properties().get("k")) + + // commit is a no-op; abort must drop the staged table through the catalog. + staged.commitStagedChanges() + staged.abortStagedChanges() + verify(catalog).dropTable(ident) + } + + @Test + def testBasicStagedTableRejectsNonWritableInfo(): Unit = { + val ident = Identifier.of(Array("db"), "tbl") + val staged = BasicStagedTable(ident, mock(classOf[Table]), mock(classOf[TableCatalog])) + val info = mock(classOf[LogicalWriteInfo]) + val ex = assertThrows(classOf[HoodieException], () => staged.newWriteBuilder(info)) Review Comment: Thanks for filing #19250 and fixing it in #19251; agreed the delegating branch is the one needing coverage, best handled there. -- 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]
