# tHiveOutput

Connects to a given Hive database and writes the data it receives into a given Hive table or a directory in HDFS.

When ACID is enabled on the Hive side, a Spark Job cannot delete or update a table and unless data is compacted, this Job cannot correctly read aggregated data from a Hive table, either. This is a known limitation described in the Spark bug tracking system: https://issues.apache.org/jira/browse/SPARK-15348.

For more technologies supported by Talend, see [Talend components](https://help.qlik.com/talend/r/en-US/7.3/components/hive).

Depending on the Talend product you are using, this component can be used in one, some or all of the following Job frameworks:

* Spark Batch: see [tHiveOutput properties for Apache Spark Batch](https://help.qlik.com/talend/en-US/components/7.3/hive/thiveoutput-properties-for-apache-spark-batch).

  The component in this framework is available in all Talend products with Big Data and Talend Data Fabric.

* Spark Streaming: see [tHiveOutput properties for Apache Spark Streaming](https://help.qlik.com/talend/en-US/components/7.3/hive/thiveoutput-properties-for-apache-spark-streaming).

  This component is available in Talend Real Time Big Data Platform and Talend Data Fabric.

### In this section

* [tHiveOutput properties for Apache Spark Batch](https://help.qlik.com/talend/en-US/components/7.3/hive/thiveoutput-properties-for-apache-spark-batch)
* [tHiveOutput properties for Apache Spark Streaming](https://help.qlik.com/talend/en-US/components/7.3/hive/thiveoutput-properties-for-apache-spark-streaming)