Integrating Apache Hive with Spark and BI
Hive Warehouse Connector for accessing Apache Spark data
Getting started with HWC
HWC limitations
Reading data through HWC
Direct Reader mode introduction
Using Direct Reader mode
Direct Reader configuration properties
Direct Reader limitations
JDBC read mode introduction
Using JDBC read mode
JDBC mode configuration properties
JDBC mode limitations
Kerberos configurations for HWC
Writing data through HWC
HWC and DataFrame APIs
HWC and DataFrame API limitations
HWC supported types mapping
Catalog operations
Read and write operations
Commit transaction for Direct Reader
Close HiveWarehouseSession operations
Use HWC for streaming
HWC API Examples
Hive Warehouse Connector Interfaces
Submit a Scala or Java application
HWC integration pyspark, sparklyr, and Zeppelin
Submit a Python app
Reading and writing Hive tables in R
Livy interpreter configuration
Read and write Hive tables in Zeppelin
Apache Hive-Kafka integration
Create a table for a Kafka stream
Querying Kafka data
Query live data from Kafka
Perform ETL by ingesting data from Kafka into Hive
Writing data to Kafka
Write transformed Hive data to Kafka
Set consumer and producer properties as table properties
Kafka storage handler and table properties
Connecting Hive to BI tools using a JDBC/ODBC driver
Getting the JDBC or ODBC driver in Data Hub
Integrating Hive and a BI tool