Github user chenerlu commented on a diff in the pull request:
https://github.com/apache/carbondata/pull/1042#discussion_r122658340
--- Diff:
examples/spark2/src/main/scala/org/apache/carbondata/examples/CarbonShowPartitionInfo.scala
---
@@ -0,0 +1,111 @@
+/*
+ * 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 java.io.File
+
+import org.apache.spark.sql.SparkSession
+
+object CarbonShowPartitionInfo {
+ def main(args: Array[String]) {
+
+ CarbonShowPartitionInfo.extracted("t3", args)
+ }
+ def extracted(tableName: String, args: Array[String]): Unit = {
+ val rootPath = new File(this.getClass.getResource("/").getPath
+ + "../../../..").getCanonicalPath
+ val storeLocation = s"$rootPath/examples/spark2/target/store"
+ val warehouse = s"$rootPath/examples/spark2/target/warehouse"
+ val metastoredb = s"$rootPath/examples/spark2/target"
+ val testData =
s"$rootPath/examples/spark2/src/main/resources/bitmaptest2.csv"
+ import org.apache.spark.sql.CarbonSession._
+ val spark = SparkSession
+ .builder()
+ .master("local")
+ .appName("CarbonDataLoad")
+ .config("spark.sql.warehouse.dir", warehouse)
+ .getOrCreateCarbonSession(storeLocation, metastoredb)
+
+ // range partition
+ spark.sql("DROP TABLE IF EXISTS t1")
+ // hash partition
+ spark.sql("DROP TABLE IF EXISTS t3")
+ // list partition
+ spark.sql("DROP TABLE IF EXISTS t5")
+
+ spark.sql("""
+ | CREATE TABLE IF NOT EXISTS t1
+ | (
+ | vin String,
+ | phonenumber Long,
+ | country String,
+ | area String
+ | )
+ | PARTITIONED BY (logdate Timestamp)
+ | STORED BY 'carbondata'
+ | TBLPROPERTIES('PARTITION_TYPE'='RANGE',
+ | 'RANGE_INFO'='20140101, 2015/01/01 ,2016-01-01')
+ """.stripMargin)
+
+ spark.sql("""
+ | CREATE TABLE IF NOT EXISTS t3
+ | (
+ | logdate Timestamp,
+ | phonenumber Long,
+ | country String,
+ | area String
+ | )
+ | PARTITIONED BY (vin String)
+ | STORED BY 'carbondata'
+ |
TBLPROPERTIES('PARTITION_TYPE'='HASH','NUM_PARTITIONS'='5')
+ """.stripMargin)
+
+ spark.sql("""
+ | CREATE TABLE IF NOT EXISTS t5
+ | (
+ | vin String,
+ | logdate Timestamp,
+ | phonenumber Long,
+ | area String
+ |)
+ | PARTITIONED BY (country string)
+ | STORED BY 'carbondata'
+ | TBLPROPERTIES('PARTITION_TYPE'='LIST',
+ | 'LIST_INFO'='(China,United States),UK ,japan,(Canada,Russia),
South Korea ')
+ """.stripMargin)
+
+ spark.sparkContext.setLogLevel("WARN")
+ spark.sql(s"""
+ SHOW PARTITIONS t1
+ """).show()
+ spark.sql(s"""
+ SHOW PARTITIONS t3
+ """).show()
+ spark.sql(s"""
+ SHOW PARTITIONS t5
+ """).show()
+
+ // range partition
+ spark.sql("DROP TABLE IF EXISTS t1")
+ // hash partition
+ spark.sql("DROP TABLE IF EXISTS t3")
+ // list partition
+ spark.sql("DROP TABLE IF EXISTS t5")
+
--- End diff --
Suggest close spark session as last.
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