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 of optimizations ApplicationMasters’ log. 1.3. Operation Logs Operation log will show how SQL queries are executed, such as query planning, execution, and statistic reports. Operation logs can reveal directly to end-users how their queries simple SQL language and JDBC interface to implement their own business logic. The basic capacity planning of Spark ThriftServer, the consolidation of underlying services, and all the optimizations can all

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 of optimizations ApplicationMasters’ log. 1.3. Operation Logs Operation log will show how SQL queries are executed, such as query planning, execution, and statistic reports. Operation logs can reveal directly to end-users how their queries simple SQL language and JDBC interface to implement their own business logic. The basic capacity planning of Spark ThriftServer, the consolidation of underlying services, and all the optimizations can all

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 of optimizations simple SQL language and JDBC interface to implement their own business logic. The basic capacity planning of Spark ThriftServer, the consolidation of underlying services, and all the optimizations can all true # spark.eventLog.longForm.enabled true # spark.eventLog.rolling.enabled true # spark.yarn.historyServer.address http://historyserver:18080

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 of optimizations simple SQL language and JDBC interface to implement their own business logic. The basic capacity planning of Spark ThriftServer, the consolidation of underlying services, and all the optimizations can all true # spark.eventLog.longForm.enabled true # spark.eventLog.rolling.enabled true # spark.yarn.historyServer.address http://historyserver:18080

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 of optimizations ApplicationMasters’ log. 1.4. Operation Logs Operation log will show how SQL queries are executed, such as query planning, execution, and statistic reports. Operation logs can reveal directly to end-users how their queries simple SQL language and JDBC interface to implement their own business logic. The basic capacity planning of Spark ThriftServer, the consolidation of underlying services, and all the optimizations can

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 of optimizations ApplicationMasters’ log. 1.4. Operation Logs Operation log will show how SQL queries are executed, such as query planning, execution, and statistic reports. Operation logs can reveal directly to end-users how their queries simple SQL language and JDBC interface to implement their own business logic. The basic capacity planning of Spark ThriftServer, the consolidation of underlying services, and all the optimizations can

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 of optimizations ApplicationMasters’ log. 1.4. Operation Logs Operation log will show how SQL queries are executed, such as query planning, execution, and statistic reports. Operation logs can reveal directly to end-users how their queries simple SQL language and JDBC interface to implement their own business logic. The basic capacity planning of Spark ThriftServer, the consolidation of underlying services, and all the optimizations can

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 of optimizations ApplicationMasters’ log. Operation Logs Operation log will show how SQL queries are executed, such as query planning, execution, and statistic reports. Operation logs can reveal directly to end-users how their queries simple SQL language and JDBC interface to implement their own business logic. The basic capacity planning of Spark ThriftServer, the consolidation of underlying services, and all the optimizations can all

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 of optimizations ApplicationMasters’ log. Operation Logs Operation log will show how SQL queries are executed, such as query planning, execution, and statistic reports. Operation logs can reveal directly to end-users how their queries simple SQL language and JDBC interface to implement their own business logic. The basic capacity planning of Spark ThriftServer, the consolidation of underlying services, and all the optimizations can all

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 of optimizations ApplicationMasters’ log. Operation Logs Operation log will show how SQL queries are executed, such as query planning, execution, and statistic reports. Operation logs can reveal directly to end-users how their queries simple SQL language and JDBC interface to implement their own business logic. The basic capacity planning of Spark ThriftServer, the consolidation of underlying services, and all the optimizations can all