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/*
* 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.spark.carbondata.vectorreader
import org.apache.spark.sql.Row
import org.apache.spark.sql.execution.RowDataSourceScanExec
import org.apache.spark.sql.execution.strategy.CarbonDataSourceScan
import org.apache.spark.sql.test.util.QueryTest
import org.scalatest.BeforeAndAfterAll
import org.apache.carbondata.core.constants.CarbonCommonConstants
import org.apache.carbondata.core.util.CarbonProperties
class VectorReaderTestCase extends QueryTest with BeforeAndAfterAll {
override def beforeAll {
sql("DROP TABLE IF EXISTS vectorreader")
// clean data folder
CarbonProperties.getInstance()
.addProperty(CarbonCommonConstants.CARBON_TIMESTAMP_FORMAT, "yyyy/MM/dd")
sql("CREATE TABLE vectorreader (ID Int, date Timestamp, country String, name String, phonetype String," +
"serialname String, salary Int) STORED AS carbondata")
sql(s"LOAD DATA INPATH '$resourcesPath/source.csv' INTO TABLE vectorreader")
}
test("test vector reader") {
sqlContext.setConf("carbon.enable.vector.reader", "true")
val plan = sql(
"""select * from vectorreader""".stripMargin).queryExecution.executedPlan
var batchReader = false
plan.collect {
case s: CarbonDataSourceScan => batchReader = true
}
assert(batchReader, "batch reader should exist when carbon.enable.vector.reader is true")
}
test("test without vector reader") {
sqlContext.setConf("carbon.enable.vector.reader", "false")
val plan = sql(
"""select * from vectorreader""".stripMargin).queryExecution.executedPlan
var rowReader = false
plan.collect {
case s: RowDataSourceScanExec => rowReader = true
}
assert(rowReader, "row reader should exist by default")
}
test("test vector reader for random measure selection") {
sqlContext.setConf("carbon.enable.vector.reader", "true")
checkAnswer(sql("""select salary, ID from vectorreader where ID = 94""".stripMargin),
Seq(Row(15093, 94)))
}
override def afterAll {
CarbonProperties.getInstance()
.addProperty(CarbonCommonConstants.CARBON_TIMESTAMP_FORMAT,
CarbonCommonConstants.CARBON_TIMESTAMP_DEFAULT_FORMAT)
sqlContext.setConf(
"carbon.enable.vector.reader", CarbonCommonConstants.ENABLE_VECTOR_READER_DEFAULT)
sql("DROP TABLE IF EXISTS vectorreader")
}
}