Create and use a materialized view

You can create a materialized view of a query to calculate and store results of an expensive operation, such as join.

In this task, you create and populate example tables. You create a materialized view of a join of the tables. Subsequently, when you run a query to join the tables, the query plan takes advantage of the precomputed join to accelerate processing. This task is over-simplified and is intended to show the syntax and output of a materialized view, not to demonstrate accelerated processing that results in a real-world task, which would process a large amount of data.

In Data Analytics Studio (DAS), the Hive shell, or other Hive UI, create two tables:

CREATE TABLE emps (
   empid INT,
   deptno INT,
   name VARCHAR(256),
   salary FLOAT,
   hire_date TIMESTAMP);
                    
CREATE TABLE depts (
   deptno INT,
   deptname VARCHAR(256),
   locationid INT);

Insert some data into the tables for example purposes:

INSERT INTO TABLE emps VALUES (10001,101,'jane doe',250000,'2018-01-10');
INSERT INTO TABLE emps VALUES (10002,100,'somporn klailee',210000,'2017-12-25');
INSERT INTO TABLE emps VALUES (10003,200,'jeiranan thongnopneua',175000,'2018-05-05');
                    
INSERT INTO TABLE depts VALUES (100,'HR',10);
INSERT INTO TABLE depts VALUES (101,'Eng',11);
INSERT INTO TABLE depts VALUES (200,'Sup',20);

Create a materialized view to join the tables:

CREATE MATERIALIZED VIEW mv1
  AS SELECT empid, deptname, hire_date
  FROM emps JOIN depts
  ON (emps.deptno = depts.deptno)
  WHERE hire_date >= '2017-01-01';

Execute a query that takes advantage of the precomputation performed by the materialized view:

SELECT empid, deptname
  FROM emps
  JOIN depts
  ON (emps.deptno = depts.deptno)
  WHERE hire_date >= '2017-01-01'
  AND hire_date <= '2019-01-01';

Output is:

+--------+-----------+
| empid  | deptname  |
+--------+-----------+
| 10003  | Sup       |
| 10002  | HR        |
| 10001  | Eng       |
+--------+-----------+

In Cloudera Manager, enable explain logging: Navigate to Clusters > HIVE_ON_TEZ-1 > Configuration, search for hive.log.explain.output, check HiveServer2 Default Group, and click Save Changes.

Verify that the query rewrite used the materialized view by running an extended EXPLAIN statement:

EXPLAIN EXTENDED SELECT empid, deptname
  FROM emps
  JOIN depts
  ON (emps.deptno = depts.deptno)
  WHERE hire_date >= '2017-01-01'
  AND hire_date <= '2019-01-01';

The output shows the alias default.mv1 for the materialized view in the TableScan section of the plan.

OPTIMIZED SQL: SELECT `empid`, `deptname`          
FROM `default`.`mv1`                               
WHERE TIMESTAMP '2019-01-01 00:00:00.000000000' >= `hire_date` 
STAGE DEPENDENCIES:                                
  Stage-0 is a root stage                          
                                                                           
STAGE PLANS:                                       
  Stage: Stage-0                                   
    Fetch Operator                                 
      limit: -1                                    
      Processor Tree:                              
        TableScan                                  
          alias: default.mv1                       
          filterExpr: (hire_date <= TIMESTAMP'2019-01-01 
            00:00:00') (type: boolean) |
          GatherStats: false                       
          Filter Operator                          
            isSamplingPred: false                  
            predicate: (hire_date <= TIMESTAMP'2019-01-01 
              00:00:00') (type: boolean) 
            Select Operator                        
              expressions: empid (type: int), deptname (type: varchar(256)) 
              outputColumnNames: _col0, _col1      
              ListSink

Create and use a materialized view

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