Spark hive integration

From spark 2.0, there is no more extra context to create. It integrates directly with the spark session. SparkSession is now the new entry point of Spark that replaces the old SQLContext and HiveContext. 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.

Both provide compatibilities for each other. from os.path import abspath from pyspark.sql import SparkSession from pyspark.sql import Row # warehouse_location points to the default location for managed databases and tables warehouse_location = abspath ('spark-warehouse') spark = SparkSession \ . builder \ . appName ("Python Spark SQL Hive integration example") \ . config ("spark.sql.warehouse.dir", warehouse_location) \ . enableHiveSupport \ . getOrCreate # spark is an existing SparkSession spark.

A Hive metastore warehouse (aka spark-warehouse) is the directory where Spark SQL persists tables whereas a Hive metastore (aka metastore_db) is a relational database to manage the metadata of the persistent relational entities, e.g. databases, tables, columns, partitions.

Se hela listan på cwiki.apache.org Spark and Hive integration has changed in HDInsight 4.0. In HDInsight 4.0, Spark and Hive use independent catalogs for accessing SparkSQL or Hive tables. A table created by Spark lives in the Spark catalog.

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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. I think that the problem is that 1.5.0 can now work with different versions of Hive Metastore and probably I need to specify which version I'm using. 2018-07-08 · Hana Hadoop integration with HANA spark controller gives us the ability to have federated data access between HANA and hive meta store. In this blog we will see this capability with a simple example.

I am using hadoop 3.1.2, spark 2.4.5 (scala 2.11 prebuilt with user-provided hadoop) and 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. Sep 26, 2016 When you start to work with hive , at first we need HiveContext (inherits SqlContext) , core-site.xml , hdfs-site.xml and hive-site.xml for spark.
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For example, Spark 3.0 was released with a builtin Hive client (2.3.7), so, ideally, the version of server should >= 2.3.x. 2019-05-07 The short answer is that Spark is not entirely compatible with recent versions of Hive found in CDH, but may still work for a lot of use cases.

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This process makes it more efficient and adaptable than a standard JDBC connection from Spark to Hive. 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. Jan 16, 2018 Generic - Issue Resolution Se hela listan på cwiki.apache.org 2014-10-12 · Improved integration with Apache Hive Hortonworks is contributing to Spark to enable support for Hive 0.13, and as the Hive community marches towards Hive 0.14, will contribute additional Hive innovations that can be leveraged by Spark. This allows SparkSQL to use modern versions of Hive to access data for machine learning, modeling etc. 2019-08-05 · Spark not only supports MapReduce, it also supports SQL-based data extraction.