examples/spark/src/main/scala/org/apache/carbondata/examples/DatasourceExample.scala

/*
 * 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
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package org.apache.carbondata.examples

import org.apache.spark.sql.{SaveMode, SQLContext}

import org.apache.carbondata.examples.util.ExampleUtils

object DatasourceExample {

  def main(args: Array[String]) {
    // use CarbonContext to write CarbonData files
    val cc = ExampleUtils.createCarbonContext("DatasourceExample")
    ExampleUtils.writeSampleCarbonFile(cc, "table1")

    // Use SQLContext to read CarbonData files
    val sqlContext = new SQLContext(cc.sparkContext)
    sqlContext.sql(
      s"""
        | CREATE TEMPORARY TABLE source
        | USING org.apache.spark.sql.CarbonSource
        | OPTIONS (path '${cc.storePath}/default/table1')
      """.stripMargin)
    sqlContext.sql("SELECT c1, c2, count(*) FROM source WHERE c3 > 100 GROUP BY c1, c2").show

    // delete carbondata file
    ExampleUtils.cleanSampleCarbonFile(cc, "table1")
  }
}