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#684 Fix incorrect reader used when segment id generation is turned on.
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...scala/za/co/absa/cobrix/spark/cobol/source/regression/Test24FixLengthWithSegmentIds.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.regression | ||
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| import org.scalatest.wordspec.AnyWordSpec | ||
| 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 | ||
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| import java.nio.charset.StandardCharsets | ||
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| class Test24FixLengthWithSegmentIds extends AnyWordSpec with SparkTestBase with BinaryFileFixture with SimpleComparisonBase { | ||
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| private implicit val logger: Logger = LoggerFactory.getLogger(this.getClass) | ||
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| private val copybook = | ||
| """ 01 R. | ||
| 05 IND PIC X(1). | ||
| 05 SEGMENT1. | ||
| 10 FIELD1 PIC X(1). | ||
| 05 SEGMENT2 REDEFINES SEGMENT1. | ||
| 10 FIELD2 PIC X(2). | ||
| 05 SEGMENT3 REDEFINES SEGMENT1. | ||
| 10 FIELD3 PIC X(3). | ||
| """ | ||
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| val binFileContents: Array[Byte] = Array[Byte]( | ||
| // A1 | ||
| 0xC1.toByte, 0xF1.toByte, 0xF0.toByte, 0xF0.toByte, | ||
| // B22 | ||
| 0xC2.toByte, 0xF2.toByte, 0xF2.toByte, 0xF0.toByte, | ||
| // B33 | ||
| 0xC2.toByte, 0xF3.toByte, 0xF3.toByte, 0xF0.toByte, | ||
| // B44 | ||
| 0xC2.toByte, 0xF4.toByte, 0xF4.toByte, 0xF0.toByte, | ||
| // C555 | ||
| 0xC3.toByte, 0xF5.toByte, 0xF5.toByte, 0xF5.toByte | ||
| ) | ||
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| val textFileContents: String = "A1\nB22\nB33\nB44\nC555\n" | ||
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| val expected = """[{"Seg_Id0":"ID_0_0","IND":"A","SEGMENT1":{"FIELD1":"1"}},{"Seg_Id0":"ID_0_0","IND":"B","SEGMENT2":{"FIELD2":"22"}},{"Seg_Id0":"ID_0_0","IND":"B","SEGMENT2":{"FIELD2":"33"}},{"Seg_Id0":"ID_0_0","IND":"B","SEGMENT2":{"FIELD2":"44"}},{"Seg_Id0":"ID_0_0","IND":"C","SEGMENT3":{"FIELD3":"555"}}]""" | ||
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| "ASCII files" should { | ||
| "correctly work with segment id generation option" in { | ||
| withTempTextFile("fix_length_reg", ".txt", StandardCharsets.UTF_8, textFileContents) { tmpFileName => | ||
| val df = spark | ||
| .read | ||
| .format("cobol") | ||
| .option("copybook_contents", copybook) | ||
| .option("record_format", "D") | ||
| .option("segment_field", "IND") | ||
| .option("segment_id_level0", "A") | ||
| .option("segment_id_prefix", "ID") | ||
| .option("redefine-segment-id-map:0", "SEGMENT1 => A") | ||
| .option("redefine-segment-id-map:1", "SEGMENT2 => B") | ||
| .option("redefine-segment-id-map:2", "SEGMENT3 => C") | ||
| .option("pedantic", "true") | ||
| .load(tmpFileName) | ||
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| val actual = df.toJSON.collect().mkString("[", ",", "]") | ||
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| assertEqualsMultiline(actual, expected) | ||
| } | ||
| } | ||
| } | ||
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| "EBCDIC files" should { | ||
| "correctly work with segment id generation option" in { | ||
| withTempBinFile("fix_length_reg", ".dat", binFileContents) { tmpFileName => | ||
| val df = spark | ||
| .read | ||
| .format("cobol") | ||
| .option("copybook_contents", copybook) | ||
| .option("record_format", "F") | ||
| .option("segment_field", "IND") | ||
| .option("segment_id_prefix", "ID") | ||
| .option("segment_id_level0", "A") | ||
| .option("redefine-segment-id-map:0", "SEGMENT1 => A") | ||
| .option("redefine-segment-id-map:1", "SEGMENT2 => B") | ||
| .option("redefine-segment-id-map:2", "SEGMENT3 => C") | ||
| .option("pedantic", "true") | ||
| .load(tmpFileName) | ||
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| val actual = df.toJSON.collect().mkString("[", ",", "]") | ||
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| assertEqualsMultiline(actual, expected) | ||
| } | ||
| } | ||
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| "correctly work with segment id root generation option" in { | ||
| withTempBinFile("fix_length_reg", ".dat", binFileContents) { tmpFileName => | ||
| val df = spark | ||
| .read | ||
| .format("cobol") | ||
| .option("copybook_contents", copybook) | ||
| .option("record_format", "F") | ||
| .option("segment_field", "IND") | ||
| .option("segment_id_prefix", "ID") | ||
| .option("segment_id_root", "A") | ||
| .option("redefine-segment-id-map:0", "SEGMENT1 => A") | ||
| .option("redefine-segment-id-map:1", "SEGMENT2 => B") | ||
| .option("redefine-segment-id-map:2", "SEGMENT3 => C") | ||
| .option("pedantic", "true") | ||
| .load(tmpFileName) | ||
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| val actual = df.toJSON.collect().mkString("[", ",", "]") | ||
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| assertEqualsMultiline(actual, expected) | ||
| } | ||
| } | ||
| } | ||
| } |