Use HUE to execute multiple SQL

HUE is a hadoop ui tool contributed by Cloudera to the apache community. It can manage Hadoop and connect to query systems such as Hive, Impala, etc. It is very convenient to use. However, when we submit SQL using HUE, only the last SQL will be executed by default. Therefore, when we execute the following SQL, an error will be reported:

It will prompt that the table does not exist (the error in the figure is the log thrown by the Impala query system), because HUE will only execute the last SQL by default. So, what if we want to execute multiple SQLs? It's very simple. Just select all the SQL in the dialog box and click Run to execute all the SQLs in sequence, as shown below:

We can see that all 3 SQLs have been successfully executed. Above the "Run" button, we can see that 3/3 is displayed, indicating the execution progress. However, if the semicolon is not displayed at the end of the SQL, even if you execute it after selecting all, HUE will execute the three SQLs as one SQL instead of splitting them by line breaks, as shown below:

We can see from the figure that the final SQL submitted is: create table student(id int, name string) insert into student values(1001,'Xiaoming') select * from student, so when we want to execute multiple SQLs in batches At that time, be sure to add a semicolon at the end of each SQL.

It is worth noting that these batches of SQL executed are all completed in the same session. In other words, if the session level parameter is set in the first SQL, it will affect the SQL executed later. For example, in impala, we can use this method to set the SQL submission queue:

Here, HUE does not automatically execute all SQL sequentially, but stops after the first execution is completed. At this time, we need to click the run button again to continue execution. It can be seen by referring to 1/2 and 2/2 in the above two figures. But the setting has indeed taken effect, that is to say, the SQL of select 1 is completed on the impala queue. This needs to be checked on the Impala management page, so I won’t repeat it here.

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