s/HdfsDesign.html], with permissions. Ease of Use You only need to be familiar with Structured Query Language (SQL) and Java Database Connectivity (JDBC) to handle massive data. It helps you focus on analytics engine. Concurrent execution: multiple Spark applications work together Quick response: long-running Spark applications without startup cost Optimal execution plan: fully supports Spark SQL 1.5.2. Execute Statements If the beeline session is successfully connected, then you can run any query supported by Spark SQL now. For example, 0: jdbc:hive2://localhost:10009/> select timestamp '2018-11-17';

s/HdfsDesign.html], with permissions. Ease of Use You only need to be familiar with Structured Query Language (SQL) and Java Database Connectivity (JDBC) to handle massive data. It helps you focus on analytics engine. Concurrent execution: multiple Spark applications work together Quick response: long-running Spark applications without startup cost Optimal execution plan: fully supports Spark SQL 1.5.2. Execute Statements If the beeline session is successfully connected, then you can run any query supported by Spark SQL now. For example, 0: jdbc:hive2://localhost:10009/> select timestamp '2018-11-17';

s/HdfsDesign.html], with permissions. Ease of Use You only need to be familiar with Structured Query Language (SQL) and Java Database Connectivity (JDBC) to handle massive data. It helps you focus on analytics engine. Concurrent execution: multiple Spark applications work together Quick response: long-running Spark applications without startup cost Optimal execution plan: fully supports Spark SQL 1.5.2. Execute Statements If the beeline session is successfully connected, then you can run any query supported by Spark SQL now. For example, 0: jdbc:hive2://10.242.189.214:2181/> select timestamp '2018-11-17';

s/HdfsDesign.html], with permissions. Ease of Use You only need to be familiar with Structured Query Language (SQL) and Java Database Connectivity (JDBC) to handle massive data. It helps you focus on analytics engine. Concurrent execution: multiple Spark applications work together Quick response: long-running Spark applications without startup cost Optimal execution plan: fully supports Spark SQL 1.5.2. Execute Statements If the beeline session is successfully connected, then you can run any query supported by Spark SQL now. For example, 0: jdbc:hive2://10.242.189.214:2181/> select timestamp '2018-11-17';

hdfs/HdfsDesign.html], with permissions. Ease of Use You only need to be familiar with Structured Query Language (SQL) and Java Database Connectivity (JDBC) to handle massive data. It helps you focus on analytics engine. Concurrent execution: multiple Spark applications work together Quick response: long-running Spark applications without startup cost Optimal execution plan: fully supports Spark SQL Execute Spark SQL Statements If the beeline session is successfully connected, then you can run any query supported by Spark SQL now. For example, 0: jdbc:hive2://10.242.189.214:2181/> select timestamp '2018-11-17';

hdfs/HdfsDesign.html], with permissions. Ease of Use You only need to be familiar with Structured Query Language (SQL) and Java Database Connectivity (JDBC) to handle massive data. It helps you focus on analytics engine. Concurrent execution: multiple Spark applications work together Quick response: long-running Spark applications without startup cost Optimal execution plan: fully supports Spark SQL Execute Spark SQL Statements If the beeline session is successfully connected, then you can run any query supported by Spark SQL now. For example, 0: jdbc:hive2://10.242.189.214:2181/> select timestamp '2018-11-17';

hdfs/HdfsDesign.html], with permissions. Ease of Use You only need to be familiar with Structured Query Language (SQL) and Java Database Connectivity (JDBC) to handle massive data. It helps you focus on analytics engine. Concurrent execution: multiple Spark applications work together Quick response: long-running Spark applications without startup cost Optimal execution plan: fully supports Spark SQL Execute Spark SQL Statements If the beeline session is successfully connected, then you can run any query supported by Spark SQL now. For example, 0: jdbc:hive2://10.242.189.214:2181/> select timestamp '2018-11-17';

gateway to provide serverless SQL on Data Warehouses and Lakehouses. Kyuubi builds distributed SQL query engines on top of various kinds of modern computing frameworks, e.g., Apache Spark [https://spark [https://doris.apache.org/], Hive [https://hive.apache.org/], and Trino [https://trino.io/], etc, to query massive datasets distributed over fleets of machines from heterogeneous data sources. The Kyuubi miscellaneous ones. It provides methods that allow clients to submit SQL queries and receive the query results, submit metadata requests and receive metadata results. It enables easy submission of self-contained

gateway to provide serverless SQL on Data Warehouses and Lakehouses. Kyuubi builds distributed SQL query engines on top of various kinds of modern computing frameworks, e.g., Apache Spark [https://spark [https://doris.apache.org/], Hive [https://hive.apache.org/], and Trino [https://trino.io/], etc, to query massive datasets distributed over fleets of machines from heterogeneous data sources. The Kyuubi miscellaneous ones. It provides methods that allow clients to submit SQL queries and receive the query results, submit metadata requests and receive metadata results. It enables easy submission of self-contained

gateway to provide serverless SQL on Data Warehouses and Lakehouses. Kyuubi builds distributed SQL query engines on top of various kinds of modern computing frameworks, e.g., Apache Spark [https://spark [https://doris.apache.org/], Hive [https://hive.apache.org/], and Trino [https://trino.io/], etc, to query massive datasets distributed over fleets of machines from heterogeneous data sources. The Kyuubi miscellaneous ones. It provides methods that allow clients to submit SQL queries and receive the query results, submit metadata requests and receive metadata results. It enables easy submission of self-contained