voonhous commented on code in PR #18098: URL: https://github.com/apache/hudi/pull/18098#discussion_r3021415791
########## hudi-spark-datasource/hudi-spark/src/test/scala/org/apache/hudi/blob/TestReadBlobSQL.scala: ########## @@ -0,0 +1,394 @@ +/* + * 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.blob + +import org.apache.hudi.blob.BlobTestHelpers._ +import org.apache.hudi.testutils.HoodieClientTestBase + +import org.apache.spark.sql.functions._ +import org.junit.jupiter.api.Assertions._ +import org.junit.jupiter.api.Test + +/** + * Tests for the read_blob() SQL function. + * + * This test suite verifies: + * <ul> + * <li>Basic SQL integration with read_blob()</li> + * <li>Integration with WHERE clauses, JOINs</li> + * <li>Configuration parameter handling</li> + * <li>Error handling for invalid inputs</li> + * </ul> + */ +class TestReadBlobSQL extends HoodieClientTestBase { + + @Test + def testBasicReadBlobSQL(): Unit = { + val filePath = createTestFile(tempDir, "basic.bin", 10000) + + // Create table with blob column + val df = sparkSession.createDataFrame(Seq( + (1, "record1", filePath, 0L, 100L), + (2, "record2", filePath, 100L, 100L), + (3, "record3", filePath, 200L, 100L) + )).toDF("id", "name", "external_path", "offset", "length") + .withColumn("file_info", + blobStructCol("file_info", col("external_path"), col("offset"), col("length"))) + .select("id", "name", "file_info") + + df.createOrReplaceTempView("test_table") + + // Use SQL with read_blob + val result = sparkSession.sql(""" + SELECT id, name, read_blob(file_info) as data + FROM test_table + WHERE id <= 2 + """) + + val rows = result.collect() + assertEquals(2, rows.length) + + // Verify data is binary + val data1 = rows(0).getAs[Array[Byte]]("data") + assertEquals(100, data1.length) + + // Verify content matches expected pattern + assertBytesContent(data1) + + val data2 = rows(1).getAs[Array[Byte]]("data") + assertEquals(100, data2.length) + assertBytesContent(data2, expectedOffset = 100) + } + + @Test + def testReadBlobWithJoin(): Unit = { + val filePath = createTestFile(tempDir, "join.bin", 10000) + + // Create blob table + val blobDF = sparkSession.createDataFrame(Seq( + (1, filePath, 0L, 100L), + (2, filePath, 100L, 100L) Review Comment: What happens for filePaths points to a file that does not exist? -- 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]
