Github user chenliang613 commented on a diff in the pull request:
https://github.com/apache/carbondata/pull/1159#discussion_r127114297
--- Diff: examples/spark2/src/main/scala/org/apache/carbondata/examples/DataUpdateDeleteExample.scala ---
@@ -0,0 +1,173 @@
+/*
+ * 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 java.text.SimpleDateFormat
+
+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]) {
+
+ // for local files
+ val rootPath = new File(this.getClass.getResource("/").getPath
+ + "../../../..").getCanonicalPath
+ // for hdfs files
+ // var rootPath = "hdfs://hdfs-host/carbon"
+
+ var storeLocation = s"$rootPath/examples/spark2/target/store"
+ var warehouse = s"$rootPath/examples/spark2/target/warehouse"
+ var metastoredb = s"$rootPath/examples/spark2/target"
+
+ import org.apache.spark.sql.CarbonSession._
+ val spark = SparkSession
+ .builder()
+ .master("local")
+ .appName("DataUpdateDeleteExample")
+ .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 t3")
+ spark.sql("DROP TABLE IF EXISTS t5")
+
+ // use code to create table t5 and insert data
+ var sdf = new SimpleDateFormat("yyyy-MM-dd")
+ var df = spark.sparkContext.parallelize(1 to 10)
+ .map(x => (x, new java.sql.Date(sdf.parse("2015-07-" + (x % 10 + 10)).getTime),
+ "china", "aaa" + x, "phone" + 555 * x, "ASD" + (60000 + x), 14999 + x))
+ .toDF("ID", "date", "country", "name", "phonetype", "serialname", "salary")
--- End diff --
To easier identify data from different table, please change as below :
toDF("t3.ID", "t3.date", "t3.country", "t3.name", "t3.phonetype", "t3.serialname", "t3.salary")
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