This topic provides an overview of the methods used to connect to different Lindorm engines and provides links to the relevant references.

Engine Connection method References
LindormTable Use LindormTable SQL to connect to a wide table engine.
Use an HBase API to connect to a wide table engine.
Use Cassandra Query Language (CQL) to connect to a wide table engine.
Use the Amazon Simple Storage Service (S3) protocol to connect to a wide table engine.
LindormTSDB Use Lindorm-cli to connect to a time series engine. Use Lindorm-cli to connect to and use a time series engine
Use a Java Database Connectivity (JDBC) driver to connect to a time series engine. Use a JDBC driver to connect to and use a time series engine (recommended)
Use a Lindorm JDBC driver to connect to a time series engine. Use a Lindorm JDBC driver to connect to and use a time series engine
LindormSearch Use Apache Solr shells to connect to a search engine. Use Search Shell to connect to and use LindormSearch
Use SQL to connect to a search engine. Use a JDBC driver to connect to and send SQL requests to LindormSearch
LindormDFS Use Hadoop Distributed File System (HDFS) shells to connect to a file engine. Use HDFS shells to connect to and use a file engine
Use open source HDFS clients to connect to a file engine. Use open source HDFS clients to connect to and use a file engine
Use HDFS FUSE to connect to a file engine. Use HDFS FUSE to connect to and use a file engine
Lindorm Distributed Processing System (LDPS) Use JDBC to connect to LDPS Use SQL to connect to LDPS
Create a Java job to connect to LDPS Create a job in Java
Create a Python job to connect to LDPS Create a job in Python
Lindorm streaming engine Use Lindorm-cli to connect to the Lindorm streaming engine Use Lindorm-cli to connect to and use the Lindorm streaming engine
Use an open source Apache Kafka client to connect to the Lindorm streaming engine Use an open source Apache Kafka client to write data to the Lindorm streaming engine