| /* |
| * 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.{SaveMode, SparkSession} |
| |
| import org.apache.carbondata.examples.util.ExampleUtils |
| |
| object CarbonDataFrameExample { |
| |
| def main(args: Array[String]) { |
| val spark = ExampleUtils.createCarbonSession("CarbonDataFrameExample") |
| exampleBody(spark) |
| spark.close() |
| } |
| |
| def exampleBody(spark : SparkSession): Unit = { |
| // Writes Dataframe to CarbonData file: |
| import spark.implicits._ |
| val df = spark.sparkContext.parallelize(1 to 100) |
| .map(x => ("a" + x % 10, "b", x)) |
| .toDF("c1", "c2", "number") |
| |
| // Saves dataframe to carbondata file |
| df.write |
| .format("carbondata") |
| .option("tableName", "carbon_df_table") |
| .option("partitionColumns", "c1") // a list of column names |
| .mode(SaveMode.Overwrite) |
| .save() |
| |
| spark.sql(""" SELECT * FROM carbon_df_table """).show() |
| |
| spark.sql("SHOW PARTITIONS carbon_df_table").show() |
| |
| // Specify schema |
| import org.apache.spark.sql.types.{StructType, StructField, StringType, IntegerType} |
| val customSchema = StructType(Array( |
| StructField("c1", StringType), |
| StructField("c2", StringType), |
| StructField("number", IntegerType))) |
| |
| // Reads carbondata to dataframe |
| val carbondf = spark.read |
| .format("carbondata") |
| .schema(customSchema) |
| // .option("dbname", "db_name") the system will use "default" as dbname if not set this option |
| .option("tableName", "carbon_df_table") |
| .load() |
| |
| // Dataframe operations |
| carbondf.printSchema() |
| carbondf.select($"c1", $"number" + 10).show() |
| carbondf.filter($"number" > 31).show() |
| |
| spark.sql("DROP TABLE IF EXISTS carbon_df_table") |
| } |
| } |