| /* |
| * 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.examples |
| |
| import org.apache.spark.sql.SparkSession |
| |
| import org.apache.carbondata.core.constants.CarbonCommonConstants |
| import org.apache.carbondata.core.util.CarbonProperties |
| import org.apache.carbondata.examples.util.{AllDictionaryUtil, ExampleUtils} |
| |
| |
| object AllDictionaryExample { |
| |
| def main(args: Array[String]) { |
| val spark = ExampleUtils.createCarbonSession("AllDictionaryExample") |
| exampleBody(spark) |
| spark.close() |
| } |
| |
| def exampleBody(spark : SparkSession): Unit = { |
| val testData = ExampleUtils.currentPath + "/src/main/resources/dataSample.csv" |
| val csvHeader = "ID,date,country,name,phonetype,serialname,salary" |
| val dictCol = "|date|country|name|phonetype|serialname|" |
| val allDictFile = ExampleUtils.currentPath + "/target/data.dictionary" |
| |
| // extract all dictionary files from source data |
| AllDictionaryUtil.extractDictionary(spark.sparkContext, |
| testData, allDictFile, csvHeader, dictCol) |
| // Specify date format based on raw data |
| CarbonProperties.getInstance() |
| .addProperty(CarbonCommonConstants.CARBON_DATE_FORMAT, "yyyy/MM/dd") |
| |
| spark.sql("DROP TABLE IF EXISTS dictionary_table") |
| |
| spark.sql( |
| s""" |
| | CREATE TABLE IF NOT EXISTS dictionary_table( |
| | ID Int, |
| | date Date, |
| | country String, |
| | name String, |
| | phonetype String, |
| | serialname String, |
| | salary Int, |
| | floatField float |
| | ) STORED BY 'carbondata' |
| """.stripMargin) |
| |
| spark.sql(s""" |
| LOAD DATA LOCAL INPATH '$testData' into table dictionary_table |
| options('ALL_DICTIONARY_PATH'='$allDictFile', 'SINGLE_PASS'='true') |
| """) |
| |
| spark.sql(""" |
| SELECT * FROM dictionary_table |
| """).show() |
| |
| spark.sql(""" |
| SELECT * FROM dictionary_table where floatField=3.5 |
| """).show() |
| |
| CarbonProperties.getInstance().addProperty( |
| CarbonCommonConstants.CARBON_DATE_FORMAT, |
| CarbonCommonConstants.CARBON_DATE_DEFAULT_FORMAT) |
| |
| spark.sql("DROP TABLE IF EXISTS dictionary_table") |
| |
| // clean local dictionary files |
| AllDictionaryUtil.cleanDictionary(allDictFile) |
| } |
| } |