[ https://issues.apache.org/jira/browse/SPARK-23077?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Pravin Agrawal updated SPARK-23077: ----------------------------------- Issue Type: Improvement (was: Bug) > Apache Structured Streaming: Bulk/Batch write support for Hive using > streaming dataset > -------------------------------------------------------------------------------------- > > Key: SPARK-23077 > URL: https://issues.apache.org/jira/browse/SPARK-23077 > Project: Spark > Issue Type: Improvement > Components: Structured Streaming > Affects Versions: 2.2.0 > Reporter: Pravin Agrawal > Priority: Minor > > Using Apache Spark 2.2: Structured Streaming, Create a program which reads > data from Kafka and write it to Hive. > Data incoming from Kafka topic @ 100 records/sec and write to Hive table. > **Hive Table Created:** > CREATE TABLE demo_user( timeaa BIGINT, numberbb INT, decimalcc DOUBLE, > stringdd STRING, booleanee BOOLEAN ) STORED AS ORC ; > **Insert via Manual Hive Query:** > INSERT INTO TABLE demo_user (1514133139123, 14, 26.4, 'pravin', true); > **Insert via spark structured streaming code:** > SparkConf conf = new SparkConf(); > conf.setAppName("testing"); > conf.setMaster("local[2]"); > conf.set("hive.metastore.uris", "thrift://localhost:9083"); > SparkSession session = > SparkSession.builder().config(conf).enableHiveSupport().getOrCreate(); > // workaround START: code to insert static data into hive > String insertQuery = "INSERT INTO TABLE demo_user (1514133139123, 14, 26.4, > 'pravin', true)"; > session.sql(insertQuery); > // workaround END: > // Solution START > Dataset<Row> dataset = readFromKafka(sparkSession); // private method > reading data from Kafka's 'xyz' topic > // some code which writes dataset into hive table demo_user > // Solution END -- This message was sent by Atlassian JIRA (v7.6.3#76005) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org