Chapter 1. Multi-tenancy CHAPTER TWO 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 SparkSubmit 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'; generated in 9.685752 ms 2020-11-02 20:51:50.228 INFO operation.ExecuteStatement: Processing kentyao's ˓→query[d80a2664-342d-4f38-baaa-82e88e68a43b]: RUNNING_STATE -> FINISHED_STATE, ˓→statement: select timestamp

Chapter 1. Multi-tenancy CHAPTER TWO 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 SparkSubmit 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'; generated in 9.685752 ms 2020-11-02 20:51:50.228 INFO operation.ExecuteStatement: Processing kentyao's ˓→query[d80a2664-342d-4f38-baaa-82e88e68a43b]: RUNNING_STATE -> FINISHED_STATE, ˓→statement: select timestamp

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 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'; generated in 9.685752 ms 2020-11-02 20:51:50.228 INFO operation.ExecuteStatement: Processing kentyao's query[d80a2664-342d-4f38-baaa-82e88e68a43b]: RUNNING_STATE -> FINISHED_STATE, statement: select timestamp

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 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'; generated in 9.685752 ms 2020-11-02 20:51:50.228 INFO operation.ExecuteStatement: Processing kentyao's query[d80a2664-342d-4f38-baaa-82e88e68a43b]: RUNNING_STATE -> FINISHED_STATE, statement: select timestamp

Chapter 1. Multi-tenancy CHAPTER TWO 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 SparkSubmit 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'; '2018-11-17'; 2021-10-28 13:56:27.509 INFO operation.ExecuteStatement: Processing kent's ˓→query[1f619182-20ad-4733-995b-a5e43b80d998]: INITIALIZED_STATE -> PENDING_STATE, ˓→statement: select timestamp

Chapter 1. Multi-tenancy CHAPTER TWO 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 SparkSubmit 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'; '2018-11-17'; 2021-10-28 13:56:27.509 INFO operation.ExecuteStatement: Processing kent's ˓→query[1f619182-20ad-4733-995b-a5e43b80d998]: INITIALIZED_STATE -> PENDING_STATE, ˓→statement: select timestamp

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 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'; '2018-11-17'; 2021-10-28 13:56:27.509 INFO operation.ExecuteStatement: Processing kent's query[1f619182-20ad-4733-995b-a5e43b80d998]: INITIALIZED_STATE - > PENDING_STATE, statement: 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 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'; '2018-11-17'; 2021-10-28 13:56:27.509 INFO operation.ExecuteStatement: Processing kent's query[1f619182-20ad-4733-995b-a5e43b80d998]: INITIALIZED_STATE - > PENDING_STATE, statement: select timestamp '2018-11-17'

Chapter 1. Multi-tenancy CHAPTER TWO 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 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'; '2018-11-17'; 2021-10-28 13:56:27.509 INFO operation.ExecuteStatement: Processing kent's␣ ˓→query[1f619182-20ad-4733-995b-a5e43b80d998]: INITIALIZED_STATE -> PENDING_STATE,␣ ˓→statement: select timestamp

Chapter 1. Multi-tenancy CHAPTER TWO 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 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'; '2018-11-17'; 2021-10-28 13:56:27.509 INFO operation.ExecuteStatement: Processing kent's␣ ˓→query[1f619182-20ad-4733-995b-a5e43b80d998]: INITIALIZED_STATE -> PENDING_STATE,␣ ˓→statement: select timestamp