Download metastore.thrift file

Warning Some features may not work without JavaScript. Please try enabling it if you encounter problems. Search PyPI Search. Latest version Released: Aug 23, Navigation Project description Release history Download files.

Project links Homepage. Maintainers quintoandar. Project details Project links Homepage. Download files Download the file for your platform. Files for hive-metastore-client, version 1. File type Wheel. Python version py3. If an init script for setting up the external metastore causes cluster creation failure, configure the init script to log , and debug the init script using the logs.

External metastore JDBC connection information is misconfigured. Verify the configured hostname, port, username, password, and JDBC driver class name. Also, make sure that the username has the right privilege to access the metastore database. External metastore database not properly initialized. Verify that you created the metastore database and put the correct database name in the JDBC connection string.

Then, start a new cluster with the following two Spark configuration options:. In this way, the Hive client library will try to create and initialize tables in the metastore database automatically when it tries to access them but finds them absent. This error can occur if a cluster using Runtime 3.

By default, Databricks also sets datanucleus. Therefore, the Hive client library cannot create metastore tables even if you set datanucleus. This strategy is, in general, safer for production environments since it prevents the metastore database to be accidentally upgraded. If you do want to use datanucleus. Also, you may want to flip both flags after initializing the metastore database to provide better protection to your production environment.

This exception may be thrown if the version of the cluster is 2. This issue has been fixed in 2. For 2. Support Feedback Try Databricks. Help Center Documentation Knowledge Base. Updated Nov 22, Send us feedback. External Apache Hive metastore This article describes how to set up Databricks clusters to connect to existing external Apache Hive metastores. Databricks Runtime Version 0. For details, see Identifier Case Sensitivity. If you use a read-only metastore database, Databricks strongly recommends that you set spark.

Hive metastore deployment modes In a production environment, you can deploy a Hive metastore in two modes: local and remote. Local mode The metastore client running inside a cluster connects to the underlying metastore database directly via JDBC. Remote mode Instead of connecting to the underlying database directly, the metastore client connects to a separate metastore service via the Thrift protocol. Network setup Databricks clusters run inside a virtual private cloud VPC.

Cluster configurations You must set three sets of configuration options to connect a cluster to an external metastore: Spark options configure Spark with the Hive metastore version and the JARs for the metastore client. Hive options configure the metastore client to connect to the external metastore. Search PyPI Search. Latest version Released: Apr 24, Navigation Project description Release history Download files. Project links Homepage. Maintainers lanzani.

Project description Project details Release history Download files Project description This project aims to be an up to date Python client to interact with the Hive metastore using the Thrift protocol.

Installation Install it with pip install hmsclient or directly from source python setup. Regenerate the Python thrift library The hmsclient. Otherwise the defaults will be used. Project details Project links Homepage.

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