Github user chenliang613 commented on a diff in the pull request:
https://github.com/apache/carbondata/pull/1159#discussion_r126856684
--- Diff:
examples/spark2/src/main/scala/org/apache/carbondata/examples/DataUpdateDeleteExample.scala
---
@@ -0,0 +1,183 @@
+/*
+ * 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.SaveMode
+import org.apache.spark.sql.SparkSession
+
+import org.apache.carbondata.core.constants.CarbonCommonConstants
+import org.apache.carbondata.core.util.CarbonProperties
+
+object DataUpdateDeleteExample {
+
+ def main(args: Array[String]) {
+
+ val rootPath = new File(this.getClass.getResource("/").getPath
+ + "../../../..").getCanonicalPath
+
+ var hdfsStoreFlg = false;
+ if (args != null && args.size > 0) {
+ if ("true".equalsIgnoreCase(args(0))) {
+ hdfsStoreFlg = true
+ }
+ }
+ var storeLocation = s"$rootPath/examples/spark2/target/store"
+ var warehouse = s"$rootPath/examples/spark2/target/warehouse"
+ var metastoredb = s"$rootPath/examples/spark2/target"
+ var testData =
s"$rootPath/examples/spark2/src/main/resources/data_update.csv"
+ if (hdfsStoreFlg) {
+ storeLocation = "hdfs://nameservice1/carbon2/data/"
+ warehouse = "hdfs://nameservice1/carbon2/warehouse/"
+ metastoredb = "hdfs://nameservice1/carbon2/carbonstore/"
+ testData = "hdfs://nameservice1/carbon2/data_update.csv"
+ }
+
+ import org.apache.spark.sql.CarbonSession._
+ val spark = SparkSession
+ .builder()
+ .master("local")
+ .appName("CarbonSessionExample")
+ .config("spark.sql.warehouse.dir", warehouse)
+ .config("spark.driver.host", "localhost")
+ .config("spark.sql.crossJoin.enabled", "true")
+ .getOrCreateCarbonSession(storeLocation, metastoredb)
+ spark.sparkContext.setLogLevel("WARN")
+
+ // Specify date format based on raw data
+ CarbonProperties.getInstance()
+ .addProperty(CarbonCommonConstants.CARBON_DATE_FORMAT, "yyyy/MM/dd")
+
+ import spark.implicits._
+ // Drop table
+ spark.sql("DROP TABLE IF EXISTS update_table")
+ spark.sql("DROP TABLE IF EXISTS big_table")
+
+ spark.sql(s"""
+ CREATE TABLE IF NOT EXISTS update_table
+ (ID Int, country String,
+ name String, phonetype String, serialname char(10), salary Int)
+ STORED BY 'carbondata'
+ """)
+
+ spark.sql(s"""
+ LOAD DATA LOCAL INPATH '$testData' INTO TABLE update_table
+ """)
+
+ val df = spark.sparkContext.parallelize(1 to 2000000)
+ .map(x => (x, "name" + (1000000 + x), "2017/07/" + (x % 20 + 1),
+ "china", 2 * x))
+ .toDF("id", "name", "date", "country", "salary")
+ df.write
+ .format("carbondata")
+ .option("tableName", "big_table")
+ .option("tempCSV", "true")
+ .option("compress", "true")
+ .mode(SaveMode.Overwrite)
+ .save()
+
+ // loop update and delete in big_table
+ var loopCnt = 5
+ for (index <- 1 to loopCnt) {
+ // Update country with simple SET
+ var name = "name" + (1200000 + index)
+ spark.sql(s"""
+ UPDATE big_table SET (country) = ('india') WHERE name = '$name'
+ """).show()
+ // Query data after the above update
+ spark.sql(s"""
+ SELECT * FROM big_table WHERE name = '$name'
+ """).show()
+
+ // Update date with simple SET
+ name = "name" + (1200000 + loopCnt + index)
+ spark.sql(s"""
+ UPDATE big_table SET (date) = ('2018/08/08') WHERE name =
'$name'
+ """).show()
+ // Query data after the above update
+ spark.sql(s"""
+ SELECT * FROM big_table WHERE name = '$name'
+ """).show()
+
+ // Update salary with simple SET
+ name = "name" + (1200000 + loopCnt * 2 + index)
+ spark.sql(s"""
+ UPDATE big_table SET (salary) = (9999999) WHERE name = '$name'
+ """).show()
+ // Query data after the above update
+ spark.sql(s"""
+ SELECT * FROM big_table WHERE name = '$name'
+ """).show()
+
+ // Update data with subquery result SET
+ var id = loopCnt + index
+ spark.sql(s"""
+ UPDATE big_table
+ SET (big_table.country, big_table.name) = (SELECT u.country,
+ u.name FROM update_table u WHERE u.id = $index)
+ WHERE big_table.id < $id""").show()
+ // Query data after the above update
+ spark.sql(s"""
+ SELECT * FROM big_table where big_table.id < $id
+ """).show()
+
+ // Update data with join query result SET
+ id = 2000000 - index * 10
+ val id1 = loopCnt * 3 + index
+ val id2 = loopCnt * 4 + index
+ spark.sql(s"""
+ UPDATE big_table
+ SET (big_table.country, big_table.salary) =
+ (SELECT u.country, f.salary FROM update_table u FULL JOIN
update_table f
+ WHERE u.id = $id1 and f.id=$id2) WHERE big_table.id >
$id""").show()
+ // Query data after the above update
+ spark.sql(s"""
+ SELECT * FROM big_table where big_table.id < $id
+ """).show()
+
+ // delete by name
+ name = "name" + (1200000 + loopCnt * 3 + index)
+ spark.sql(s"""
+ DELETE FROM big_table WHERE name = '$name'
+ """).show()
+ // Query data after the above delete
+ spark.sql(s"""
+ SELECT * FROM big_table WHERE name = '$name'
+ """).show()
+
+ // delete by salary
+ var salary = 2000000*2 - index * 4
+ spark.sql(s"""
+ DELETE FROM big_table WHERE salary > $salary and salary <
9999999
+ """).show()
+ spark.sql(s"""
+ SELECT * FROM big_table WHERE salary > $salary and salary <
9999999
+ """).show()
+ }
+
+ spark.sql(s"""
+ SELECT count(*) FROM big_table
+ """).show()
+
+ // Drop table
+ spark.sql("DROP TABLE IF EXISTS update_table")
+ spark.sql("DROP TABLE IF EXISTS big_table")
+ }
--- End diff --
please add spark.stop() at the end.
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and wishes so, or if the feature is enabled but not working, please
contact infrastructure at [email protected] or file a JIRA ticket
with INFRA.
---
