akkio-97 commented on a change in pull request #3773: URL: https://github.com/apache/carbondata/pull/3773#discussion_r466857297
########## File path: integration/presto/src/test/scala/org/apache/carbondata/presto/integrationtest/GenerateFiles.scala ########## @@ -0,0 +1,667 @@ +/* + * 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.carbondata.presto.integrationtest + +import java.io.{ByteArrayInputStream, ByteArrayOutputStream, DataInputStream, File, InputStream} +import java.util + +import scala.collection.JavaConverters._ + +import org.apache.avro +import org.apache.avro.file.DataFileWriter +import org.apache.avro.generic.{GenericDatumReader, GenericDatumWriter, GenericRecord} +import org.apache.avro.io.{DecoderFactory, Encoder} +import org.junit.Assert + +import org.apache.carbondata.core.cache.dictionary.DictionaryByteArrayWrapper +import org.apache.carbondata.core.constants.CarbonCommonConstants +import org.apache.carbondata.core.datastore.block.TableBlockInfo +import org.apache.carbondata.core.datastore.chunk.impl.DimensionRawColumnChunk +import org.apache.carbondata.core.datastore.chunk.reader.CarbonDataReaderFactory +import org.apache.carbondata.core.datastore.chunk.reader.dimension.v3.DimensionChunkReaderV3 +import org.apache.carbondata.core.datastore.compression.CompressorFactory +import org.apache.carbondata.core.datastore.filesystem.{CarbonFile, CarbonFileFilter} +import org.apache.carbondata.core.datastore.impl.FileFactory +import org.apache.carbondata.core.datastore.page.encoding.DefaultEncodingFactory +import org.apache.carbondata.core.metadata.ColumnarFormatVersion +import org.apache.carbondata.core.util.{CarbonMetadataUtil, DataFileFooterConverterV3} +import org.apache.carbondata.sdk.file.CarbonWriter + +class GenerateFiles { + + def singleLevelArrayFile() = { + val json1: String = + """ {"stringCol": "bob","intCol": 14,"doubleCol": 10.5,"realCol": 12.7, + |"boolCol": true,"arrayStringCol1":["Street1"],"arrayStringCol2": ["India", "Egypt"], + |"arrayIntCol": [1,2,3],"arrayBigIntCol":[70000,600000000],"arrayRealCol":[1.111,2.2], + |"arrayDoubleCol":[1.1,2.2,3.3], "arrayBooleanCol": [true, false, true]} """.stripMargin + val json2: String = + """ {"stringCol": "Alex","intCol": 15,"doubleCol": 11.5,"realCol": 13.7, + |"boolCol": true, "arrayStringCol1": ["Street1", "Street2"],"arrayStringCol2": ["Japan", + |"China", "India"],"arrayIntCol": [1,2,3,4],"arrayBigIntCol":[70000,600000000,8000], + |"arrayRealCol":[1.1,2.2,3.3],"arrayDoubleCol":[1.1,2.2,4.45,3.3], + |"arrayBooleanCol": [true, true, true]} """.stripMargin + val json3: String = + """ {"stringCol": "Rio","intCol": 16,"doubleCol": 12.5,"realCol": 14.7, + |"boolCol": true, "arrayStringCol1": ["Street1", "Street2","Street3"], + |"arrayStringCol2": ["China", "Brazil", "Paris", "France"],"arrayIntCol": [1,2,3,4,5], + |"arrayBigIntCol":[70000,600000000,8000,9111111111],"arrayRealCol":[1.1,2.2,3.3,4.45], + |"arrayDoubleCol":[1.1,2.2,4.45,5.5,3.3], "arrayBooleanCol": [true, false, true]} """ + .stripMargin + val json4: String = + """ {"stringCol": "bob","intCol": 14,"doubleCol": 10.5,"realCol": 12.7, + |"boolCol": true, "arrayStringCol1":["Street1"],"arrayStringCol2": ["India", "Egypt"], + |"arrayIntCol": [1,2,3],"arrayBigIntCol":[70000,600000000],"arrayRealCol":[1.1,2.2], + |"arrayDoubleCol":[1.1,2.2,3.3], "arrayBooleanCol": [true, false, true]} """.stripMargin + val json5: String = + """ {"stringCol": "Alex","intCol": 15,"doubleCol": 11.5,"realCol": 13.7, + |"boolCol": true, "arrayStringCol1": ["Street1", "Street2"],"arrayStringCol2": ["Japan", + |"China", "India"],"arrayIntCol": [1,2,3,4],"arrayBigIntCol":[70000,600000000,8000], + |"arrayRealCol":[1.1,2.2,3.3],"arrayDoubleCol":[4,1,21.222,15.231], + |"arrayBooleanCol": [false, false, false]} """.stripMargin + + + val mySchema = + """ { + | "name": "address", + | "type": "record", + | "fields": [ + | { + | "name": "stringCol", + | "type": "string" + | }, + | { + | "name": "intCol", + | "type": "int" + | }, + | { + | "name": "doubleCol", + | "type": "double" + | }, + | { + | "name": "realCol", + | "type": "float" + | }, + | { + | "name": "boolCol", + | "type": "boolean" + | }, + | { + | "name": "arrayStringCol1", + | "type": { + | "type": "array", + | "items": { + | "name": "street", + | "type": "string" + | } + | } + | }, + | { + | "name": "arrayStringCol2", + | "type": { + | "type": "array", + | "items": { + | "name": "street", + | "type": "string" + | } + | } + | }, + | { + | "name": "arrayIntCol", + | "type": { + | "type": "array", + | "items": { + | "name": "street", + | "type": "int" + | } + | } + | }, + | { + | "name": "arrayBigIntCol", + | "type": { + | "type": "array", + | "items": { + | "name": "street", + | "type": "long" + | } + | } + | }, + | { + | "name": "arrayRealCol", + | "type": { + | "type": "array", + | "items": { + | "name": "street", + | "type": "float" + | } + | } + | }, + | { + | "name": "arrayDoubleCol", + | "type": { + | "type": "array", + | "items": { + | "name": "street", + | "type": "double" + | } + | } + | }, + | { + | "name": "arrayBooleanCol", + | "type": { + | "type": "array", + | "items": { + | "name": "street", + | "type": "boolean" + | } + | } + | } + | ] + | } + """.stripMargin + + val nn = new avro.Schema.Parser().parse(mySchema) + val record1 = testUtil.jsonToAvro(json1, mySchema) + val record2 = testUtil.jsonToAvro(json2, mySchema) + val record3 = testUtil.jsonToAvro(json3, mySchema) + val record4 = testUtil.jsonToAvro(json4, mySchema) + val record5 = testUtil.jsonToAvro(json5, mySchema) + var writerPath = new File(this.getClass.getResource("/").getPath + + "../../target/store/sdk_output/files") + .getCanonicalPath + //getCanonicalPath gives path with \, but the code expects /. + writerPath = writerPath.replace("\\", "/") + try { + val writer = CarbonWriter.builder + .outputPath(writerPath) + .enableLocalDictionary(false) + .uniqueIdentifier(System.currentTimeMillis()) + .withAvroInput(nn) + .writtenBy("GenerateFiles") + .build() + writer.write(record1) + writer.write(record2) + writer.write(record3) + writer.write(record4) + writer.write(record5) + writer.close() + } catch { + case e: Exception => + e.printStackTrace() + Assert.fail(e.getMessage) + } + } + + def twoLevelArrayFile() = { + val json1 = + """ { + | "arrayArrayInt": [[1,2,3], [4,5]], + | "arrayArrayBigInt":[[90000,600000000],[8000],[911111111]], + | "arrayArrayReal":[[1.111,2.2], [9.139,2.98]], + | "arrayArrayDouble":[[1.111,2.2], [9.139,2.98989898]], + | "arrayArrayString":[["Japan", "China"], ["India"]], + | "arrayArrayBoolean":[[false, false], [false]] + | } """.stripMargin + val json2 = + """ { + | "arrayArrayInt": [[1,2,3], [0,5], [1,2,3,4,5], [4,5]], + | "arrayArrayBigInt":[[40000, 600000000, 8000],[9111111111]], + | "arrayArrayReal":[[1.111, 2.2], [9.139, 2.98], [9.99]], + | "arrayArrayDouble":[[1.111, 2.2],[9.139777, 2.98],[9.99888]], + | "arrayArrayString":[["China", "Brazil"], ["Paris", "France"]], + | "arrayArrayBoolean":[[false], [true, false]] + | } """.stripMargin + val json3 = + """ { + | "arrayArrayInt": [[1], [0], [3], [4,5]], + | "arrayArrayBigInt":[[5000],[600000000],[8000,9111111111],[20000],[600000000, + | 8000,9111111111]], + | "arrayArrayReal":[[9.198]], + | "arrayArrayDouble":[[0.1987979]], + | "arrayArrayString":[["Japan", "China", "India"]], + | "arrayArrayBoolean":[[false, true, false]] + | } """.stripMargin + val json4 = + """ { + | "arrayArrayInt": [[0,9,0,1,3,2,3,4,7]], + | "arrayArrayBigInt":[[5000, 600087000, 8000, 9111111111, 20000, 600000000, 8000, + | 977777]], + | "arrayArrayReal":[[1.111, 2.2], [9.139, 2.98, 4.67], [2.91, 2.2], [9.139, 2.98]], + | "arrayArrayDouble":[[1.111, 2.0, 4.67, 2.91, 2.2, 9.139, 2.98]], + | "arrayArrayString":[["Japan"], ["China"], ["India"]], + | "arrayArrayBoolean":[[false], [true], [false]] + | } """.stripMargin + + val mySchema = + """ { + | "name": "address", + | "type": "record", + | "fields": [ + | { + | "name": "arrayArrayInt", + | "type": { + | "type": "array", + | "items": { + | "name": "FloorNum", + | "type": "array", + | "items": { + | "name": "EachdoorNums", + | "type": "int" + | } + | } + | } + | }, + | { + | "name": "arrayArrayBigInt", + | "type": { + | "type": "array", + | "items": { + | "name": "FloorNum", + | "type": "array", + | "items": { + | "name": "EachdoorNums", + | "type": "long" + | } + | } + | } + | }, + | { + | "name": "arrayArrayReal", + | "type": { + | "type": "array", + | "items": { + | "name": "FloorNum", + | "type": "array", + | "items": { + | "name": "EachdoorNums", + | "type": "float" + | } + | } + | } + | }, + | { + | "name": "arrayArrayDouble", + | "type": { + | "type": "array", + | "items": { + | "name": "FloorNum", + | "type": "array", + | "items": { + | "name": "EachdoorNums", + | "type": "double" + | } + | } + | } + | }, + | { + | "name": "arrayArrayString", + | "type": { + | "type": "array", + | "items": { + | "name": "FloorNum", + | "type": "array", + | "items": { + | "name": "EachdoorNums", + | "type": "string" + | } + | } + | } + | }, + | { + | "name": "arrayArrayBoolean", + | "type": { + | "type": "array", + | "items": { + | "name": "FloorNum", + | "type": "array", + | "items": { + | "name": "EachdoorNums", + | "type": "boolean" + | } + | } + | } + | } + | ] + |} """.stripMargin + + val nn = new avro.Schema.Parser().parse(mySchema) + val record1 = testUtil.jsonToAvro(json1, mySchema) + val record2 = testUtil.jsonToAvro(json2, mySchema) + val record3 = testUtil.jsonToAvro(json3, mySchema) + val record4 = testUtil.jsonToAvro(json4, mySchema) + var writerPath = new File(this.getClass.getResource("/").getPath + + "../../target/store/sdk_output/files2") + .getCanonicalPath + //getCanonicalPath gives path with \, but the code expects /. + writerPath = writerPath.replace("\\", "/") + try { + val writer = CarbonWriter.builder + .outputPath(writerPath) + .enableLocalDictionary(false) + .uniqueIdentifier(System.currentTimeMillis()) + .withAvroInput(nn) + .writtenBy("GenerateFiles") + .build() + writer.write(record1) + writer.write(record2) + writer.write(record3) + writer.write(record4) + writer.close() + } catch { + case e: Exception => + e.printStackTrace() + Assert.fail(e.getMessage) + } + } + + def threeLevelArrayFile() = { + val json1 = + """ { + | "array3_Int": [[[1,2,3], [4,5]], [[6,7,8], [9]], [[1,2], [4,5]]], + | "array3_BigInt":[[[90000,600000000],[8000]],[[911111111]]], + | "array3_Real":[[[1.111,2.2], [9.139,2.98]]], + | "array3_Double":[[[1.111,2.2]], [[9.139,2.98989898]]], + | "array3_String":[[["Japan", "China"], ["Brazil", "Paris"]], [["India"]]], + | "array3_Boolean":[[[false, false], [false]], [[true]]] + | } """.stripMargin + val json2 = + """ { + | "array3_Int": [[[1,2,3], [0,5], [1,2,3,4,5], [4,5]]], + | "array3_BigInt":[[[40000,600000000,8000],[9111111111]]], + | "array3_Real":[[[1.111,2.2], [9.139,2.98]], [[9.99]]], + | "array3_Double":[[[1.111,2.2], [9.139777,2.98]], [[9.99888]]], + | "array3_String":[[["China", "Brazil"], ["Paris", "France"]]], + | "array3_Boolean":[[[false], [true, false]]] + | } """.stripMargin + val json3 = + """ { + | "array3_Int": [[[1],[0],[3]],[[4,5]]], + | "array3_BigInt":[[[5000],[600000000],[8000,9111111111],[20000],[600000000,8000, + | 9111111111]]], + | "array3_Real":[[[9.198]]], + | "array3_Double":[[[0.1987979]]], + | "array3_String":[[["Japan", "China", "India"]]], + | "array3_Boolean":[[[false, true, false]]] + | } """.stripMargin + val json4 = + """ { + | "array3_Int": [[[0,9,0,1,3,2,3,4,7]]], + | "array3_BigInt":[[[5000,600087000,8000,9111111111,20000,600000000,8000,977777]]], + | "array3_Real":[[[1.111,2.2], [9.139,2.98,4.67]], [[2.91,2.2], [9.139,2.98]]], + | "array3_Double":[[[1.111,2,4.67, 2.91,2.2, 9.139,2.98]]], + | "array3_String":[[["Japan"], ["China"], ["India"]]], + | "array3_Boolean":[[[false], [true], [false]]] + | } """.stripMargin + + val mySchema = + """ { + | "name": "address", + | "type": "record", + | "fields": [ + | { + | "name": "array3_Int", + | "type": { + | "type": "array", + | "items": { + | "type": "array", + | "items": { + | "type": "array", + | "items": { + | "type": "int" + | } + | } + | } + | } + | }, + | { + | "name": "array3_BigInt", + | "type": { + | "type": "array", + | "items": { + | "type": "array", + | "items": { + | "type": "array", + | "items": { + | "type": "long" + | } + | } + | } + | } + | }, + | { + | "name": "array3_Real", + | "type": { + | "type": "array", + | "items": { + | "type": "array", + | "items": { + | "type": "array", + | "items": { + | "type": "float" + | } + | } + | } + | } + | }, + | { + | "name": "array3_Double", + | "type": { + | "type": "array", + | "items": { + | "type": "array", + | "items": { + | "type": "array", + | "items": { + | "type": "double" + | } + | } + | } + | } + | }, + | { + | "name": "array3_String", + | "type": { + | "type": "array", + | "items": { + | "type": "array", + | "items": { + | "type": "array", + | "items": { + | "type": "string" + | } + | } + | } + | } + | }, + | { + | "name": "array3_Boolean", + | "type": { + | "type": "array", + | "items": { + | "type": "array", + | "items": { + | "type": "array", + | "items": { + | "type": "boolean" + | } + | } + | } + | } + | } + | ] + |} """.stripMargin + + val nn = new avro.Schema.Parser().parse(mySchema) + val record1 = testUtil.jsonToAvro(json1, mySchema) + val record2 = testUtil.jsonToAvro(json2, mySchema) + val record3 = testUtil.jsonToAvro(json3, mySchema) + val record4 = testUtil.jsonToAvro(json4, mySchema) + var writerPath = new File(this.getClass.getResource("/").getPath + + "../../target/store/sdk_output/files3") + .getCanonicalPath + //getCanonicalPath gives path with \, but the code expects /. + writerPath = writerPath.replace("\\", "/") + try { + val writer = CarbonWriter.builder + .outputPath(writerPath) + .enableLocalDictionary(false) + .uniqueIdentifier(System.currentTimeMillis()) + .withAvroInput(nn) + .writtenBy("GenerateFiles") + .build() + writer.write(record1) + writer.write(record2) + writer.write(record3) + writer.write(record4) + writer.close() + } catch { + case e: Exception => + e.printStackTrace() + Assert.fail(e.getMessage) + } + } + + object testUtil { + + def jsonToAvro(json: String, avroSchema: String): GenericRecord = { + var input: InputStream = null + var writer: DataFileWriter[GenericRecord] = null + var encoder: Encoder = null + var output: ByteArrayOutputStream = null + try { + val schema = new org.apache.avro.Schema.Parser().parse(avroSchema) + val reader = new GenericDatumReader[GenericRecord](schema) + input = new ByteArrayInputStream(json.getBytes()) + output = new ByteArrayOutputStream() + val din = new DataInputStream(input) + writer = new DataFileWriter[GenericRecord](new GenericDatumWriter[GenericRecord]()) + writer.create(schema, output) + val decoder = DecoderFactory.get().jsonDecoder(schema, din) + var datum: GenericRecord = reader.read(null, decoder) + return datum + } finally { + input.close() + writer.close() + } + } + + /** + * this method returns true if local dictionary is created for all the blocklets or not + * + * @return + */ + def getDimRawChunk(blockindex: Int, + storePath: String): util.ArrayList[DimensionRawColumnChunk] = { + val dataFiles = FileFactory.getCarbonFile(storePath) + .listFiles(new CarbonFileFilter() { + override def accept(file: CarbonFile): Boolean = { + if (file.getName + .endsWith(CarbonCommonConstants.FACT_FILE_EXT)) { + true + } else { + false + } + } + }) + val dimensionRawColumnChunks = read(dataFiles(0).getAbsolutePath, + blockindex) + dimensionRawColumnChunks + } + + def read(filePath: String, blockIndex: Int) = { + val carbonDataFiles = new File(filePath) + val dimensionRawColumnChunks = new + util.ArrayList[DimensionRawColumnChunk] + val offset = carbonDataFiles.length + val converter = new DataFileFooterConverterV3 + val fileReader = FileFactory.getFileHolder(FileFactory.getFileType(filePath)) + val actualOffset = fileReader.readLong(carbonDataFiles.getAbsolutePath, offset - 8) + val blockInfo = new TableBlockInfo(carbonDataFiles.getAbsolutePath, + actualOffset, + "0", + new Array[String](0), + carbonDataFiles.length, + ColumnarFormatVersion.V3, + null) + val dataFileFooter = converter.readDataFileFooter(blockInfo) + val blockletList = dataFileFooter.getBlockletList.asScala + for (blockletInfo <- blockletList) { + val dimensionColumnChunkReader = + CarbonDataReaderFactory + .getInstance + .getDimensionColumnChunkReader(ColumnarFormatVersion.V3, + blockletInfo, + carbonDataFiles.getAbsolutePath, + false).asInstanceOf[DimensionChunkReaderV3] + dimensionRawColumnChunks + .add(dimensionColumnChunkReader.readRawDimensionChunk(fileReader, blockIndex)) + } + dimensionRawColumnChunks + } + + def validateDictionary(rawColumnPage: DimensionRawColumnChunk, + data: Array[String]): Boolean = { + val local_dictionary = rawColumnPage.getDataChunkV3.local_dictionary + if (null != local_dictionary) { + val compressorName = CarbonMetadataUtil.getCompressorNameFromChunkMeta( + rawColumnPage.getDataChunkV3.getData_chunk_list.get(0).getChunk_meta) + val encodings = local_dictionary.getDictionary_meta.encoders + val encoderMetas = local_dictionary.getDictionary_meta.getEncoder_meta + val encodingFactory = DefaultEncodingFactory.getInstance + val decoder = encodingFactory.createDecoder(encodings, encoderMetas, compressorName) + val dictionaryPage = decoder + .decode(local_dictionary.getDictionary_data, + 0, + local_dictionary.getDictionary_data.length) + val dictionaryMap = new util.HashMap[DictionaryByteArrayWrapper, Integer] + val usedDictionaryValues = util.BitSet + .valueOf(CompressorFactory.getInstance.getCompressor(compressorName) + .unCompressByte(local_dictionary.getDictionary_values)) + var index = 0 + var i = usedDictionaryValues.nextSetBit(0) + while ( { i >= 0 }) { + dictionaryMap + .put(new DictionaryByteArrayWrapper(dictionaryPage.getBytes({ index += 1; index - 1 })), + i) + i = usedDictionaryValues.nextSetBit(i + 1) + } + for (i <- data.indices) { + if (null == dictionaryMap.get(new DictionaryByteArrayWrapper(data(i).getBytes))) { + return false + } + } + return true + } + false + } + + def checkForLocalDictionary(dimensionRawColumnChunks: util Review comment: done ---------------------------------------------------------------- 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. For queries about this service, please contact Infrastructure at: us...@infra.apache.org
