Example: Aggregate pushdown v2

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This example shows aggregate pushdown between the foreign tables of the same remote HIVE/SPARK server to that remote HIVE/SPARK server:

Tables on HIVE/SPARK server:

0: jdbc:hive2://localhost:10000> describe emp;
+-----------+------------+----------+--+
| col_name  | data_type  | comment  |
+-----------+------------+----------+--+
| empno     | int        | NULL     |
| ename     | string     | NULL     |
| job       | string     | NULL     |
| mgr       | int        | NULL     |
| hiredate  | date       | NULL     |
| sal       | int        | NULL     |
| comm      | int        | NULL     |
| deptno    | int        | NULL     |
+-----------+------------+----------+--+
8 rows selected (0.747 seconds)
0: jdbc:hive2://localhost:10000> describe dept;
+-----------+------------+----------+--+
| col_name  | data_type  | comment  |
+-----------+------------+----------+--+
| deptno    | int        | NULL     |
| dname     | string     | NULL     |
| loc       | string     | NULL     |
+-----------+------------+----------+--+
3 rows selected (0.067 seconds)

Tables on Postgres server:

-- load extension first time after install
CREATE EXTENSION hdfs_fdw;

-- create server object
CREATE SERVER hdfs_server FOREIGN DATA WRAPPER hdfs_fdw OPTIONS(host 'localhost', port '10000', client_type 'spark', auth_type 'LDAP');

-- create user mapping
CREATE USER MAPPING FOR public SERVER hdfs_server OPTIONS (username 'user1', password 'pwd123');

-- create foreign table
CREATE FOREIGN TABLE dept (
    deptno          INTEGER,
    dname           VARCHAR(14),
    loc             VARCHAR(13)
)
SERVER hdfs_server OPTIONS (dbname 'fdw_db', table_name 'dept');

CREATE FOREIGN TABLE emp (
    empno           INTEGER,
    ename           VARCHAR(10),
    job             VARCHAR(9),
    mgr             INTEGER,
    hiredate        DATE,
    sal             INTEGER,
    comm            INTEGER,
    deptno          INTEGER
)
SERVER hdfs_server OPTIONS (dbname 'fdw_db', table_name 'emp');

Query with aggregate pushdown:

-- aggregate functions
EXPLAIN (VERBOSE, COSTS OFF)
SELECT deptno, COUNT(*),SUM(sal),MAX(sal),MIN(sal),AVG(sal) FROM emp
GROUP BY deptno
HAVING deptno IN (10,20)
ORDER BY deptno;

Output

QUERY PLAN                                                                         
------------------------------------------------------------------------------------------------------------------------------------------------------------------
 Sort
   Output: deptno, (count(*)), (sum(sal)), (max(sal)), (min(sal)), (avg(sal))
   Sort Key: emp.deptno
   ->  Foreign Scan
         Output: deptno, (count(*)), (sum(sal)), (max(sal)), (min(sal)), (avg(sal))
         Relations: Aggregate on (k_test.emp)
         Remote SQL: SELECT , count(*), sum(), max(), min(), avg() FROM . WHERE (  IN (10,20)) GROUP BY 
(7 rows)