Github user QiangCai commented on a diff in the pull request:
https://github.com/apache/carbondata/pull/2695#discussion_r215484019
--- Diff:
examples/spark2/src/main/scala/org/apache/carbondata/examples/StreamSQLExample.scala
---
@@ -0,0 +1,190 @@
+/*
+ * 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.sql.{CarbonEnv, SparkSession}
+import org.apache.spark.sql.streaming.{ProcessingTime, StreamingQuery}
+
+import org.apache.carbondata.core.metadata.schema.table.CarbonTable
+import org.apache.carbondata.core.util.path.CarbonTablePath
+import org.apache.carbondata.examples.util.ExampleUtils
+import org.apache.carbondata.streaming.parser.CarbonStreamParser
+
+// scalastyle:off println
+object StreamSQLExample {
+ def main(args: Array[String]) {
+
+ // setup paths
+ val rootPath = new File(this.getClass.getResource("/").getPath
+ + "../../../..").getCanonicalPath
+
+ val spark =
ExampleUtils.createCarbonSession("StructuredStreamingExample", 4)
+ val streamTableName = s"stream_table"
+
+ val requireCreateTable = true
+
+ if (requireCreateTable) {
+ // drop table if exists previously
+ spark.sql(s"DROP TABLE IF EXISTS $streamTableName")
+ spark.sql("DROP TABLE IF EXISTS source")
+
+ // Create target carbon table and populate with initial data
+ spark.sql(
+ s"""
+ | CREATE TABLE $streamTableName(
+ | id INT,
+ | name STRING,
+ | city STRING,
+ | salary FLOAT
+ | )
+ | STORED AS carbondata
+ | TBLPROPERTIES(
+ | 'streaming'='true', 'sort_columns'='name')
+ """.stripMargin)
+
+ // batch load
+ val path =
s"$rootPath/examples/spark2/src/main/resources/streamSample.csv"
+ spark.sql(
+ s"""
+ | LOAD DATA LOCAL INPATH '$path'
+ | INTO TABLE $streamTableName
+ | OPTIONS('HEADER'='true')
+ """.stripMargin)
+ }
+
+ spark.sql(
+ """
+ | CREATE TABLE source (
+ | id INT,
+ | name STRING,
+ | city STRING,
+ | salary FLOAT
+ | )
+ | STORED AS carbondata
+ | TBLPROPERTIES(
+ | 'streaming'='source',
+ | 'format'='kafka',
+ | 'kafka.bootstrap.servers'='localhost:9092',
+ | 'subscribe'='test')
+ """.stripMargin)
+
+ spark.sql(
+ s"""
+ | CREATE STREAM ingest ON TABLE $streamTableName
+ | STMPROPERTIES(
+ | 'trigger' = 'ProcessingTime',
+ | 'interval' = '3 seconds',
+ |
'carbon.stream.parser'='org.apache.carbondata.streaming.parser.CSVStreamParserImp',
+ | 'BAD_RECORDS_ACTION'='force')
+ | AS SELECT * FROM source
+ """.stripMargin)
+
+ (1 to 1000).foreach { i =>
+ spark.sql(s"select * from $streamTableName")
+ .show(100, truncate = false)
+ Thread.sleep(5000)
+ }
+
+ spark.stop()
+ System.out.println("streaming finished")
+ }
+
+ def showTableCount(spark: SparkSession, tableName: String): Thread = {
--- End diff --
please remove unused code
---
