contains all kinds of SQL engines that we support • licenses: a bunch of licenses included. • jars: packages needed by the Kyuubi server. • logs: where the logs of the Kyuubi server locates. • pid: stores mode for experimental purposes only. In a real production environment, we always have a communal standalone metadata store, to manage the metadata of persistent relational entities, e.g. databases, tables and prefer the Spark AQE to be off, while bob will activate his SQL engine application on a Spark standalone cluster with 8g heap memory for each executor and obey the Spark AQE behavior of Kyuubi system

contains all kinds of SQL engines that we support • licenses: a bunch of licenses included. • jars: packages needed by the Kyuubi server. • logs: where the logs of the Kyuubi server locates. • pid: stores mode for experimental purposes only. In a real production environment, we always have a communal standalone metadata store, to manage the metadata of persistent relational entities, e.g. databases, tables and prefer the Spark AQE to be off, while bob will activate his SQL engine application on a Spark standalone cluster with 8g heap memory for each executor and obey the Spark AQE behavior of Kyuubi system

contains all kinds of SQL engines that we support • licenses: a bunch of licenses included. • jars: packages needed by the Kyuubi server. • logs: where the logs of the Kyuubi server locates. • pid: stores mode for experimental purposes only. In a real production environment, we always have a communal standalone metadata store, to manage the metadata of persistent relational entities, e.g. databases, tables and prefer the Spark AQE to be off, while bob will activate his SQL engine application on a Spark standalone cluster with 8g heap memory for each executor and obey the Spark AQE behavior of Kyuubi system

contains all kinds of SQL engines that we support • licenses: a bunch of licenses included. • jars: packages needed by the Kyuubi server. • logs: where the logs of the Kyuubi server locates. • pid: stores mode for experimental purposes only. In a real production environment, we always have a communal standalone metadata store, to manage the metadata of persistent relational entities, e.g. databases, tables and prefer the Spark AQE to be off, while bob will activate his SQL engine application on a Spark standalone cluster with 8g heap memory for each executor and obey the Spark AQE behavior of Kyuubi system

contains all kinds of SQL engines that we support • licenses: a bunch of licenses included. • jars: packages needed by the Kyuubi server. • logs: where the logs of the Kyuubi server locates. • pid: stores mode for experimental purposes only. In a real production environment, we always have a communal standalone metadata store, to manage the metadata of persistent relational entities, e.g. databases, tables and prefer the Spark AQE to be off, while bob will activate his SQL engine application on a Spark standalone cluster with 8g heap memory for each executor and obey the Spark AQE behavior of Kyuubi system

contains all kinds of SQL engines that we support • licenses: a bunch of licenses included. • jars: packages needed by the Kyuubi server. • logs: where the logs of the Kyuubi server locates. • pid: stores mode for experimental purposes only. In a real production environment, we always have a communal standalone metadata store, to manage the metadata of persistent relational entities, e.g. databases, tables and prefer the Spark AQE to be off, while bob will activate his SQL engine application on a Spark standalone cluster with 8g heap memory for each executor and obey the Spark AQE behavior of Kyuubi system

contains all kinds of SQL engines that we support • licenses: a bunch of licenses included. • jars: packages needed by the Kyuubi server. • logs: where the logs of the Kyuubi server locates. • pid: stores mode for experimental purposes only. In a real production environment, we always have a communal standalone metadata store, to manage the metadata of persistent relational entities, e.g. databases, tables and prefer the Spark AQE to be off, while bob will activate his SQL engine application on a Spark standalone cluster with 8g heap memory for each executor and obey the Spark AQE behavior of Kyuubi system

contains all kinds of SQL engines that we support • licenses: a bunch of licenses included. • jars: packages needed by the Kyuubi server. • logs: where the logs of the Kyuubi server locates. • pid: stores mode for experimental purposes only. In a real production environment, we always have a communal standalone metadata store, to manage the metadata of persistent relational entities, e.g. databases, tables and prefer the Spark AQE to be off, while bob will activate his SQL engine application on a Spark standalone cluster with 8g heap memory for each executor and obey the Spark AQE behavior of Kyuubi system

support, e.g. Apache Spark, Apache Flink, Trino. • licenses: a bunch of licenses included. • jars: packages needed by the Kyuubi server. • logs: where the logs of the Kyuubi server locates. • pid: stores mode for experimental purposes only. In a real production environment, we always have a communal standalone metadata store, to manage the metadata of persistent relational entities, e.g. databases, tables and prefer the Spark AQE to be off, while bob will activate his SQL engine application on a Spark standalone cluster with 8g heap memory for each executor and obey the Spark AQE behavior of Kyuubi system

support, e.g. Apache Spark, Apache Flink, Trino. • licenses: a bunch of licenses included. • jars: packages needed by the Kyuubi server. • logs: where the logs of the Kyuubi server locates. • pid: stores mode for experimental purposes only. In a real production environment, we always have a communal standalone metadata store, to manage the metadata of persistent relational entities, e.g. databases, tables and prefer the Spark AQE to be off, while bob will activate his SQL engine application on a Spark standalone cluster with 8g heap memory for each executor and obey the Spark AQE behavior of Kyuubi system