Hive uses the "hive" catalog, and Spark uses the "spark" catalog. With HDP 3.0 in Ambari you can find below configuration for spark. As we know before we could access hive table in spark using HiveContext/SparkSession but now in HDP 3.0 we can access hive using Hive Warehouse Connector.

Aug 5, 2019 Hive Integration Capabilities. Because of its support for ANSI SQL standards, Hive can be integrated with databases like HBase and

Note that the old SQLContext and HiveContext are kept for backward compatibility. A new catalog interface is accessible from SparkSession - existing API on databases and tables access such as listTables, createExternalTable, dropTempView, cacheTable are moved here. Hive and Spark Integration Tutorial | Hadoop Tutorial for Beginners 2018 | Hadoop Training Videos #1https://acadgild.com/big-data/big-data-development-traini Hive on Spark provides Hive with the ability to utilize Apache Spark as its execution engine. set hive.execution.engine=spark; Hive on Spark was added in HIVE-7292. Version Compatibility. Hive on Spark is only tested with a specific version of Spark, so a given version of Hive is only guaranteed to work with a specific version of Spark. Spark hive integration .

Spark hive integration

Hive was primarily used for the sql parsing in You integrate Spark-SQL with Hive when you want to run Spark-SQL queries on Hive tables. This information is for Spark 1.6.1 or earlier users. Jan 19, 2018 If we are using earlier Spark versions, we have to use HiveContext which is variant of Spark SQL that integrates with data stored in Hive. Aug 5, 2019 Hive Integration Capabilities. Because of its support for ANSI SQL standards, Hive can be integrated with databases like HBase and * limitations under the License. */.

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16/04/09 13:37:54 INFO HiveContext: Initializing execution hive, version 1.2.116/04/09 13:37:58 WARN ObjectStore: Version information not found in Hive and Spark Integration Tutorial | Hadoop Tutorial for Beginners 2018 | Hadoop Training Videos #1https://acadgild.com/big-data/big-data-development-traini One of the most important pieces of Spark SQL’s Hive support is interaction with Hive metastore, which enables Spark SQL to access metadata of Hive tables. Starting from Spark 1.4.0, a single binary build of Spark SQL can be used to query different versions of Hive metastores, using the configuration described below.

Apache Spark Foundation Course video training - Spark Zeppelin and JDBC - by that if you already know Hive, you can use that knowledge with Spark SQL. Hit the create button and GCP will create a Spark cluster and integrate Zeppeli

This process makes it more efficient and adaptable than a standard JDBC connection from Spark to Hive.

SAP HANA is expanding its Big Data solution by providing integration to Apache Spark using the HANA smart data access technology. Right now Spark SQL is very coupled to a specific version of Hive for two primary reasons. Metadata: we use the Hive Metastore client to retrieve information about tables in a metastore. Execution: UDFs, UDAFs, SerDes, HiveConf and various helper functions for configuration. I'm using hive-site amd hdfs-core files in Spark/conf directory to integrate Hive and Spark. This is working fine for Spark 1.4.1 but stopped working for 1.5.0.
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Apache Spark Foundation Course video training - Spark Zeppelin and JDBC - by that if you already know Hive, you can use that knowledge with Spark SQL. Hit the create button and GCP will create a Spark cluster and integrate Zeppeli Precisely, you will master your knowledge in: - Writing and executing Hive & Spark SQL queries; - Reasoning how the queries are translated into actual execution Results 10 - 100 We can directly access Hive tables on Spark SQL and use Spark â€¦ From very beginning for spark sql, spark had good integration with hive. 2020年5月6日 Spark通过Spark-SQL使用hive 语句,操作hive,底层运行的还是spark rdd。（1）就是通过sparksql，加载hive的配置文件，获取到hive的元数据 11 Oct 2020 In this tutorial we will discuss how to use Spark as execution engine for hive.

2. Verify that the hive-site.xml is directly copied from the /opt/mapr/hive/hive-2.1/conf/ to the /opt/mapr/spark/spark-2.1.0/conf/. Step1: Make sure you move/(create a soft link ) hive-site.xml located in hive conf directory ($HIVE_HOME/conf/) to spark conf directory ($SPARK_HOME/conf). Step2: Though you specify thrift Uri property in hive-site.xml file spark in some cases get connected to local derby metastore itself, in order to point to correct metastore, uri has to be explicitly specified.
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Integrate Spark-SQL (Spark 2.0.1 and later) with Hive. You integrate Spark-SQL with Hive when you want to run Spark-SQL queries on Hive tables. This information is for Spark 2.0.1 or later users. Integrate Spark-SQL (Spark 1.6.1) with Hive. You integrate Spark-SQL with Hive when you want to run Spark-SQL queries on Hive tables.

The Hive Warehouse Connector makes it easier to use Spark and Hive together.

Here is the simplest solution, it is working for me. Basically it is integration between Hive and Spark, configuration files of Hive ( $ HIVE_HOME /conf / hive-site.xml) have to be copied to Spark Conf and also core-site . xml , hdfs – site.xml has to be copied.

In spark 1.x, we needed to use HiveContext for accessing HiveQL and the hive metastore. From spark 2.0, there is no more extra context to create.

1.4 Other Considerations It works well and I can do queries and inserts through hive. IF I try a query with a condition by the hash_key in Hive, I get the results in seconds. But doing the same query through spark-submit using SparkSQL and enableHiveSupport (accesing Hive) it doesn't finish.It seems that from Spark it's doing a full scan to the table. Spark - Hive Integration failure (Runtime Exception due to version incompatibility) After Spark-Hive integration, accessing Spark SQL throws exception due to older version of Hive jars (Hive 1.2) bundled with Spark.