File System Optional referenced by Spark Hadoop Distributed File System is a part of Hadoop framework, used to store and process the datasets. You can interact with any Spark-compatible versions of re-optimization that occurs during query execution. In terms of technical architecture, the AQE is a framework of dynamic planning and replanning of queries based on runtime statistics, which supports a variety Spark SQL. Ranger Security Support (Recommended) Apache Ranger [https://ranger.apache.org/] is a framework to enable, monitor and manage comprehensive data security across the Hadoop platform but end before

File System Optional referenced by Spark Hadoop Distributed File System is a part of Hadoop framework, used to store and process the datasets. You can interact with any Spark-compatible versions of re-optimization that occurs during query execution. In terms of technical architecture, the AQE is a framework of dynamic planning and replanning of queries based on runtime statistics, which supports a variety Spark SQL. Ranger Security Support (Recommended) Apache Ranger [https://ranger.apache.org/] is a framework to enable, monitor and manage comprehensive data security across the Hadoop platform but end before

re-optimization that occurs during query execution. In terms of technical architecture, the AQE is a framework of dynamic planning and replanning of queries based on runtime statistics, which supports a variety Support (Recommended) 78 Chapter 6. High Availability Kyuubi, Release 1.3.0 Apache Ranger is a framework to enable, monitor and manage comprehensive data security across the Hadoop plat- form but end before Kyuubi will support the new Apache Spark version in future. Thanks to the adaptive query execution framework (AQE), Kyuubi can do these optimization. What feature does Kyuubi SQL extension provide • merging

re-optimization that occurs during query execution. In terms of technical architecture, the AQE is a framework of dynamic planning and replanning of queries based on runtime statistics, which supports a variety Support (Recommended) 78 Chapter 6. High Availability Kyuubi, Release 1.3.0 Apache Ranger is a framework to enable, monitor and manage comprehensive data security across the Hadoop plat- form but end before Kyuubi will support the new Apache Spark version in future. Thanks to the adaptive query execution framework (AQE), Kyuubi can do these optimization. What feature does Kyuubi SQL extension provide • merging

File System Optional referenced by Spark Hadoop Distributed File System is a part of Hadoop framework, used to store and process the datasets. You can interact with any Spark-compatible versions of re-optimization that occurs during query execution. In terms of technical architecture, the AQE is a framework of dynamic planning and replanning of queries based on runtime statistics, which supports a variety Spark SQL. Ranger Security Support (Recommended) Apache Ranger [https://ranger.apache.org/] is a framework to enable, monitor and manage comprehensive data security across the Hadoop platform but end before

File System Optional referenced by Spark Hadoop Distributed File System is a part of Hadoop framework, used to store and process the datasets. You can interact with any Spark-compatible versions of re-optimization that occurs during query execution. In terms of technical architecture, the AQE is a framework of dynamic planning and replanning of queries based on runtime statistics, which supports a variety Spark SQL. Ranger Security Support (Recommended) Apache Ranger [https://ranger.apache.org/] is a framework to enable, monitor and manage comprehensive data security across the Hadoop platform but end before

re-optimization that occurs during query execution. In terms of technical architecture, the AQE is a framework of dynamic planning and replanning of queries based on runtime statistics, which supports a variety Standard Based Authorization for Spark SQL. Ranger Security Support (Recommended) Apache Ranger is a framework to enable, monitor and manage comprehensive data security across the Hadoop plat- form but end before will support the new Apache Spark version in the future. Thanks to the adaptive query execution framework (AQE), Kyuubi can do these optimizations. What feature does Kyuubi SQL extension provide • merging

re-optimization that occurs during query execution. In terms of technical architecture, the AQE is a framework of dynamic planning and replanning of queries based on runtime statistics, which supports a variety Standard Based Authorization for Spark SQL. Ranger Security Support (Recommended) Apache Ranger is a framework to enable, monitor and manage comprehensive data security across the Hadoop plat- form but end before will support the new Apache Spark version in the future. Thanks to the adaptive query execution framework (AQE), Kyuubi can do these optimizations. What feature does Kyuubi SQL extension provide • merging

re-optimization that occurs during query execution. In terms of technical architecture, the AQE is a framework of dynamic planning and replanning of queries based on runtime statistics, which supports a variety row/colum-level fine-grained access control to meet the real-world data security need. Apache Ranger is a framework to enable, monitor and manage comprehensive data security across the Hadoop platform. This plugin Authentication Since 1.6.0, Kyuubi JDBC driver implements the Kerberos authentication based on JAAS framework instead of Hadoop UserGroupInformation, which means it does not forcibly rely on Hadoop dependencies

File System Optional referenced by Spark Hadoop Distributed File System is a part of Hadoop framework, used to store and process the datasets. You can interact with any Spark-compatible versions of re-optimization that occurs during query execution. In terms of technical architecture, the AQE is a framework of dynamic planning and replanning of queries based on runtime statistics, which supports a variety Spark SQL. Ranger Security Support (Recommended) Apache Ranger [https://ranger.apache.org/] is a framework to enable, monitor and manage comprehensive data security across the Hadoop platform but end before