Github user zzcclp commented on a diff in the pull request:
https://github.com/apache/carbondata/pull/1840#discussion_r162839907
--- Diff:
examples/spark2/src/main/scala/org/apache/carbondata/examples/DStreamWithBatchTableExample.scala
---
@@ -0,0 +1,228 @@
+/*
+ * 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, PrintWriter}
+import java.net.ServerSocket
+
+import org.apache.spark.rdd.RDD
+import org.apache.spark.sql.{CarbonEnv, SaveMode, SparkSession}
+import org.apache.spark.streaming.{Seconds, StreamingContext, Time}
+
+import org.apache.carbondata.core.constants.CarbonCommonConstants
+import org.apache.carbondata.core.util.CarbonProperties
+import org.apache.carbondata.core.util.path.{CarbonStorePath,
CarbonTablePath}
+
+/**
+ * This example introduces how to use CarbonData batch load to integrate
+ * with Spark Streaming(it's DStream, not Spark Structured Streaming)
+ */
+// scalastyle:off println
+
+case class DStreamData(id: Int, name: String, city: String, salary: Float)
+
+object DStreamWithBatchTableExample {
--- End diff --
OK, but i think it's better to use 'CarbonBatchSparkStreamingExample'
instead of 'CarbonSparkStreamingExample', i will add another example called
'CarbonStreamSparkStreamingExample' after Carbon stream table integrates with
Spark Streaming.
---
