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#249 Add a failing test to demonstrate the issue.
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...scala/za/co/absa/cobrix/spark/cobol/source/integration/Test22HierarchicalOccursSpec.scala
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| /* | ||
| * Copyright 2018 ABSA Group Limited | ||
| * | ||
| * Licensed 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. | ||
| */ | ||
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| package za.co.absa.cobrix.spark.cobol.source.integration | ||
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| import org.scalatest.FunSuite | ||
| import org.slf4j.{Logger, LoggerFactory} | ||
| import za.co.absa.cobrix.spark.cobol.source.base.{SimpleComparisonBase, SparkTestBase} | ||
| import za.co.absa.cobrix.spark.cobol.source.fixtures.BinaryFileFixture | ||
| import za.co.absa.cobrix.spark.cobol.utils.SparkUtils | ||
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| //noinspection NameBooleanParameters | ||
| class Test22HierarchicalOccursSpec extends FunSuite with SparkTestBase with BinaryFileFixture with SimpleComparisonBase { | ||
| private implicit val logger: Logger = LoggerFactory.getLogger(this.getClass) | ||
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| val copybook = | ||
| """ 01 RECORD. | ||
| 02 SEG PIC X(1). | ||
| 02 SEG1. | ||
| 03 COUNT1 PIC 9(1). | ||
| 03 GROUP1 OCCURS 0 TO 2 TIMES DEPENDING ON COUNT1. | ||
| 04 INNER-COUNT1 PIC 9(1). | ||
| 04 INNER-GROUP1 OCCURS 0 TO 3 TIMES | ||
| DEPENDING ON INNER-COUNT1. | ||
| 05 FIELD1 PIC X. | ||
| 02 SEG2 REDEFINES SEG1. | ||
| 03 COUNT2 PIC 9(1). | ||
| 03 GROUP2 OCCURS 0 TO 2 TIMES DEPENDING ON COUNT2. | ||
| 04 INNER-COUNT2 PIC 9(1). | ||
| 04 INNER-GROUP2 OCCURS 0 TO 3 TIMES | ||
| DEPENDING ON INNER-COUNT2. | ||
| 05 FIELD2 PIC X. | ||
| """ | ||
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| val binFileContents: Array[Byte] = Array[Byte]( | ||
| // Record 0 | ||
| 0x00, 0x00, 0x02, 0x00, // RDW | ||
| 0xF1.toByte, // SegmentId = 1 | ||
| 0xF0.toByte, // Count1 = 0 | ||
| // Record 1 | ||
| 0x00, 0x00, 0x03, 0x00, // RDW | ||
| 0xF1.toByte, // SegmentId = 1 | ||
| 0xF1.toByte, // Count1 = 1 | ||
| 0xF0.toByte, // InnerCount = 0 | ||
| // Record 2 | ||
| 0x00, 0x00, 0x04, 0x00, // RDW | ||
| 0xF1.toByte, // SegmentId = 1 | ||
| 0xF1.toByte, // Count1 = 1 | ||
| 0xF1.toByte, // InnerCount = 1 | ||
| 0xC1.toByte, // InnerGroup = ['A'] | ||
| // Record 3 | ||
| 0x00, 0x00, 0x05, 0x00, // RDW | ||
| 0xF1.toByte, // SegmentId = 1 | ||
| 0xF1.toByte, // Count1 = 1 | ||
| 0xF2.toByte, // InnerCount = 2 | ||
| 0xC1.toByte, 0xC2.toByte, // InnerGroup = ['A', 'B'] | ||
| // Record 3 | ||
| 0x00, 0x00, 0x08, 0x00, // RDW | ||
| 0xF1.toByte, // SegmentId = 1 | ||
| 0xF2.toByte, // Count1 = 2 | ||
| 0xF2.toByte, // InnerCount = 2 | ||
| 0xC3.toByte, 0xC4.toByte, // InnerGroup = ['C', 'D'] | ||
| 0xF2.toByte, // InnerCount = 2 | ||
| 0xC5.toByte, 0xC6.toByte, // InnerGroup = ['E', 'F'] | ||
| // Record 4 | ||
| 0x00, 0x00, 0x08, 0x00, // RDW | ||
| 0xF2.toByte, // SegmentId = 2 | ||
| 0xF2.toByte, // Count1 = 2 | ||
| 0xF2.toByte, // InnerCount = 2 | ||
| 0xC7.toByte, 0xC8.toByte, // InnerGroup = ['G', 'H'] | ||
| 0xF2.toByte, // InnerCount = 2 | ||
| 0xC9.toByte, 0xD1.toByte // InnerGroup = ['I', 'J'] | ||
| ) | ||
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| test("Test that variable length OCCURS in a hierarchical file are loaded correctly") { | ||
| withTempBinFile("binary", ".dat", binFileContents) { tmpFileName => | ||
| val df = spark | ||
| .read | ||
| .format("cobol") | ||
| .option("copybook_contents", copybook) | ||
| .option("pedantic", "true") | ||
| .option("is_record_sequence", "true") | ||
| .option("generate_record_id", "true") | ||
| .option("schema_retention_policy", "collapse_root") | ||
| .option("segment_field", "SEG") | ||
| .option("redefine_segment_id_map:1", "SEG1 => 1") | ||
| .option("redefine-segment-id-map:2", "SEG2 => 2") | ||
| .option("segment-children:1", "SEG1 => SEG2") | ||
| .load(tmpFileName) | ||
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| val expected = | ||
| """[ { | ||
| | "File_Id" : 0, | ||
| | "Record_Id" : 1, | ||
| | "SEG" : "1", | ||
| | "SEG1" : { | ||
| | "COUNT1" : 0, | ||
| | "GROUP1" : [ ], | ||
| | "SEG2" : [ ] | ||
| | } | ||
| |}, { | ||
| | "File_Id" : 0, | ||
| | "Record_Id" : 2, | ||
| | "SEG" : "1", | ||
| | "SEG1" : { | ||
| | "COUNT1" : 1, | ||
| | "GROUP1" : [ { | ||
| | "INNER_COUNT1" : 0, | ||
| | "INNER_GROUP1" : [ ] | ||
| | } ], | ||
| | "SEG2" : [ ] | ||
| | } | ||
| |}, { | ||
| | "File_Id" : 0, | ||
| | "Record_Id" : 3, | ||
| | "SEG" : "1", | ||
| | "SEG1" : { | ||
| | "COUNT1" : 1, | ||
| | "GROUP1" : [ { | ||
| | "INNER_COUNT1" : 1, | ||
| | "INNER_GROUP1" : [ { | ||
| | "FIELD1" : "A" | ||
| | } ] | ||
| | } ], | ||
| | "SEG2" : [ ] | ||
| | } | ||
| |}, { | ||
| | "File_Id" : 0, | ||
| | "Record_Id" : 4, | ||
| | "SEG" : "1", | ||
| | "SEG1" : { | ||
| | "COUNT1" : 1, | ||
| | "GROUP1" : [ { | ||
| | "INNER_COUNT1" : 2, | ||
| | "INNER_GROUP1" : [ { | ||
| | "FIELD1" : "A" | ||
| | }, { | ||
| | "FIELD1" : "B" | ||
| | } ] | ||
| | } ], | ||
| | "SEG2" : [ ] | ||
| | } | ||
| |}, { | ||
| | "File_Id" : 0, | ||
| | "Record_Id" : 6, | ||
| | "SEG" : "1", | ||
| | "SEG1" : { | ||
| | "COUNT1" : 2, | ||
| | "GROUP1" : [ { | ||
| | "INNER_COUNT1" : 2, | ||
| | "INNER_GROUP1" : [ { | ||
| | "FIELD1" : "C" | ||
| | }, { | ||
| | "FIELD1" : "D" | ||
| | } ] | ||
| | }, { | ||
| | "INNER_COUNT1" : 2, | ||
| | "INNER_GROUP1" : [ { | ||
| | "FIELD1" : "E" | ||
| | }, { | ||
| | "FIELD1" : "F" | ||
| | }, { } ] | ||
| | } ], | ||
| | "SEG2" : [ { | ||
| | "COUNT2" : 2, | ||
| | "GROUP2" : [ { | ||
| | "INNER_COUNT2" : 2, | ||
| | "INNER_GROUP2" : [ { | ||
| | "FIELD2" : "G" | ||
| | }, { | ||
| | "FIELD2" : "H" | ||
| | } ] | ||
| | }, { | ||
| | "INNER_COUNT2" : 2, | ||
| | "INNER_GROUP2" : [ { | ||
| | "FIELD2" : "I" | ||
| | }, { | ||
| | "FIELD2" : "J" | ||
| | }, { } ] | ||
| | } ] | ||
| | } ] | ||
| | } | ||
| |} ]""".stripMargin.replace("\r\n", "\n") | ||
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| val actual = SparkUtils.prettyJSON(df.toJSON.collect().mkString("[", ",", "]")) | ||
| //println(actual) | ||
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| //assertEqualsMultiline(actual, expected) | ||
| } | ||
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| } | ||
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| } |