This topic describes how to test the performance of data sharing for producer and consumer instances in AnalyticDB for PostgreSQL in Serverless mode.
Test description
The producer and consumer instances used for data sharing have the same instance specifications.
- Compute node specifications: 4 cores, 16 GB
- Number of compute nodes: 4
- Region and zone: Singapore Zone A
- Minor version: V1.0.1.0
For more information about how to create an instance, see Create an AnalyticDB for PostgreSQL instance.
In this test, the DbGen tool is used to generate 100 GB of raw data. For more information about how to install DbGen and import data, see the "Generate test data" section of the TPC-H topic.
Test procedure
- Enable data sharing for the producer and consumer instances. For more information, see Enable data sharing for instances.
- Perform the following operations on the producer instance for preparations:
- Connect to the producer instance. For more information, see Use client tools to connect to an instance.
Note In this test, the psql client is used.
- Create a database named db01 and switch to the db01 database.
CREATE DATEBASE db01; \c db01
- Query the UUID of the db01 database.
SELECT current_database_uuid();
- Create a schema named tpch and set it as the default schema.
CREATE SCHEMA IF NOT EXISTS tpch; SET search_path = tpch;
- Create eight test tables for TPC-H.
CREATE TABLE customer ( c_custkey integer NOT NULL, c_name character varying(25) NOT NULL, c_address character varying(40) NOT NULL, c_nationkey integer NOT NULL, c_phone character(15) NOT NULL, c_acctbal numeric(15,2) NOT NULL, c_mktsegment character(10) NOT NULL, c_comment character varying(117) NOT NULL ) distributed by (c_custkey); CREATE TABLE lineitem ( l_orderkey bigint NOT NULL, l_partkey integer NOT NULL, l_suppkey integer NOT NULL, l_linenumber integer NOT NULL, l_quantity numeric(15,2) NOT NULL, l_extendedprice numeric(15,2) NOT NULL, l_discount numeric(15,2) NOT NULL, l_tax numeric(15,2) NOT NULL, l_returnflag character(1) NOT NULL, l_linestatus character(1) NOT NULL, l_shipdate date NOT NULL, l_commitdate date NOT NULL, l_receiptdate date NOT NULL, l_shipinstruct character(25) NOT NULL, l_shipmode char(10) NOT NULL, l_comment varchar(44) NOT NULL ) distributed by (l_orderkey); CREATE TABLE nation ( n_nationkey integer NOT NULL, n_name character(25) NOT NULL, n_regionkey integer NOT NULL, n_comment character varying(152) ) distributed by (n_nationkey); CREATE TABLE orders ( o_orderkey bigint NOT NULL, o_custkey integer NOT NULL, o_orderstatus character(1) NOT NULL, o_totalprice numeric(15,2) NOT NULL, o_orderdate date NOT NULL, o_orderpriority character(15) NOT NULL, o_clerk character(15) NOT NULL, o_shippriority integer NOT NULL, o_comment character varying(79) NOT NULL ) distributed by (o_orderkey); CREATE TABLE part ( p_partkey integer NOT NULL, p_name character varying(55) NOT NULL, p_mfgr character(25) NOT NULL, p_brand character(10) NOT NULL, p_type character varying(25) NOT NULL, p_size integer NOT NULL, p_container character(10) NOT NULL, p_retailprice numeric(15,2) NOT NULL, p_comment character varying(23) NOT NULL ) distributed by (p_partkey); CREATE TABLE partsupp ( ps_partkey integer NOT NULL, ps_suppkey integer NOT NULL, ps_availqty integer NOT NULL, ps_supplycost numeric(15,2) NOT NULL, ps_comment character varying(199) NOT NULL ) distributed by (ps_partkey); CREATE TABLE region ( r_regionkey integer NOT NULL, r_name character(25) NOT NULL, r_comment character varying(152) ) distributed by (r_regionkey); CREATE TABLE supplier ( s_suppkey integer NOT NULL, s_name character(25) NOT NULL, s_address character varying(40) NOT NULL, s_nationkey integer NOT NULL, s_phone character(15) NOT NULL, s_acctbal numeric(15,2) NOT NULL, s_comment character varying(101) NOT NULL ) distributed by (s_suppkey);
- Import test data. You can use an Object Storage Service (OSS) external table or the
\copy command to import data to AnalyticDB for PostgreSQL in Serverless mode. For more information, see Use an external table to import data from OSS at a high speed or Use the \copy command to import data from your computer to AnalyticDB for PostgreSQL.
The following example shows how to run the \copy command to import data. Replace
'/path/to/localfile'
with the actual path that stores your test data.\COPY customer FROM '/path/to/localfile'; \COPY lineitem FROM '/path/to/localfile'; \COPY nation FROM '/path/to/localfile'; \COPY orders FROM '/path/to/localfile'; \COPY part FROM '/path/to/localfile'; \COPY partsupp FROM '/path/to/localfile'; \COPY region FROM '/path/to/localfile'; \COPY supplier FROM '/path/to/localfile';
- Connect to the producer instance. For more information, see Use client tools to connect to an instance.
- Perform the following operations on the consumer instance for preparations:
- Connect to the consumer instance. For more information, see Use client tools to connect to an instance.
- Create a database named db02 and switch to the db02 database.
CREATE DATEBASE db02; \c db02
- Query the UUID of the db02 database.
SELECT current_database_uuid();
- Perform the following operations on the producer instance for data sharing:
- Create a data share.
CREATE DATASHARE s01;
- Add the eight test tables to the data share.
ALTER DATASHARE s01 ADD TABLE tpch_col.supplier; ALTER DATASHARE s01 ADD TABLE tpch_col.region; ALTER DATASHARE s01 ADD TABLE tpch_col.partsupp; ALTER DATASHARE s01 ADD TABLE tpch_col.part; ALTER DATASHARE s01 ADD TABLE tpch_col.orders; ALTER DATASHARE s01 ADD TABLE tpch_col.nation; ALTER DATASHARE s01 ADD TABLE tpch_col.lineitem; ALTER DATASHARE s01 ADD TABLE tpch_col.customer;
- Authorize the db02 database of the consumer instance to consume the data share.
GRANT USAGE ON DATASHARE s01 TO DATABASE "db02-uuid";
Note Replace"db02-uuid"
with the UUID of the db02 database obtained in Step 3.
- Create a data share.
- Perform the following operations on the consumer instance for data sharing:
- Import the data share to the consumer instance.
IMPORT DATASHARE s01 AS s01a FROM DATABASE "db01-uuid";
Note Replace"db01-uuid"
with the UUID of the db01 database obtained in Step 2. - Analyze the eight test tables contained in the data share.
ANALYZE customer; ANALYZE lineitem; ANALYZE nation; ANALYZE orders; ANALYZE part; ANALYZE partsupp; ANALYZE region; ANALYZE supplier;
- Import the data share to the consumer instance.
- Execute 22 queries of TPC-H.
Note Before the test, set the optimizer parameter to off. For more information about how to modify parameters, see Configure parameters.
-- Q1 select l_returnflag, l_linestatus, sum(l_quantity) as sum_qty, sum(l_extendedprice) as sum_base_price, sum(l_extendedprice * (1 - l_discount)) as sum_disc_price, sum(l_extendedprice * (1 - l_discount) * (1 + l_tax)) as sum_charge, avg(l_quantity) as avg_qty, avg(l_extendedprice) as avg_price, avg(l_discount) as avg_disc, count(*) as count_order from lineitem where l_shipdate <= date '1998-12-01' - interval '93 day' group by l_returnflag, l_linestatus order by l_returnflag, l_linestatus; -- Q2 select s_acctbal, s_name, n_name, p_partkey, p_mfgr, s_address, s_phone, s_comment from part, supplier, partsupp, nation, region where p_partkey = ps_partkey and s_suppkey = ps_suppkey and p_size = 23 and p_type like '%STEEL' and s_nationkey = n_nationkey and n_regionkey = r_regionkey and r_name = 'EUROPE' and ps_supplycost = ( select min(ps_supplycost) from partsupp, supplier, nation, region where p_partkey = ps_partkey and s_suppkey = ps_suppkey and s_nationkey = n_nationkey and n_regionkey = r_regionkey and r_name = 'EUROPE' ) order by s_acctbal desc, n_name, s_name, p_partkey limit 100; -- Q3 select l_orderkey, sum(l_extendedprice * (1 - l_discount)) as revenue, o_orderdate, o_shippriority from customer, orders, lineitem where c_mktsegment = 'MACHINERY' and c_custkey = o_custkey and l_orderkey = o_orderkey and o_orderdate < date '1995-03-24' and l_shipdate > date '1995-03-24' group by l_orderkey, o_orderdate, o_shippriority order by revenue desc, o_orderdate limit 10; -- Q4 select o_orderpriority, count(*) as order_count from orders where o_orderdate >= date '1996-08-01' and o_orderdate < date '1996-08-01' + interval '3' month and exists ( select * from lineitem where l_orderkey = o_orderkey and l_commitdate < l_receiptdate ) group by o_orderpriority order by o_orderpriority; -- Q6 select sum(l_extendedprice * l_discount) as revenue from lineitem where l_shipdate >= date '1994-01-01' and l_shipdate < date '1994-01-01' + interval '1' year and l_discount between 0.06 - 0.01 and 0.06 + 0.01 and l_quantity < 24; -- Q7 select supp_nation, cust_nation, l_year, sum(volume) as revenue from ( select n1.n_name as supp_nation, n2.n_name as cust_nation, extract(year from l_shipdate) as l_year, l_extendedprice * (1 - l_discount) as volume from supplier, lineitem, orders, customer, nation n1, nation n2 where s_suppkey = l_suppkey and o_orderkey = l_orderkey and c_custkey = o_custkey and s_nationkey = n1.n_nationkey and c_nationkey = n2.n_nationkey and ( (n1.n_name = 'JORDAN' and n2.n_name = 'INDONESIA') or (n1.n_name = 'INDONESIA' and n2.n_name = 'JORDAN') ) and l_shipdate between date '1995-01-01' and date '1996-12-31' ) as shipping group by supp_nation, cust_nation, l_year order by supp_nation, cust_nation, l_year; -- Q8 select o_year, sum(case when nation = 'INDONESIA' then volume else 0 end) / sum(volume) as mkt_share from ( select extract(year from o_orderdate) as o_year, l_extendedprice * (1 - l_discount) as volume, n2.n_name as nation from part, supplier, lineitem, orders, customer, nation n1, nation n2, region where p_partkey = l_partkey and s_suppkey = l_suppkey and l_orderkey = o_orderkey and o_custkey = c_custkey and c_nationkey = n1.n_nationkey and n1.n_regionkey = r_regionkey and r_name = 'ASIA' and s_nationkey = n2.n_nationkey and o_orderdate between date '1995-01-01' and date '1996-12-31' and p_type = 'STANDARD BRUSHED BRASS' ) as all_nations group by o_year order by o_year; -- Q9 select nation, o_year, sum(amount) as sum_profit from ( select n_name as nation, extract(year from o_orderdate) as o_year, l_extendedprice * (1 - l_discount) - ps_supplycost * l_quantity as amount from part, supplier, lineitem, partsupp, orders, nation where s_suppkey = l_suppkey and ps_suppkey = l_suppkey and ps_partkey = l_partkey and p_partkey = l_partkey and o_orderkey = l_orderkey and s_nationkey = n_nationkey and p_name like '%chartreuse%' ) as profit group by nation, o_year order by nation, o_year desc; -- Q10 select c_custkey, c_name, sum(l_extendedprice * (1 - l_discount)) as revenue, c_acctbal, n_name, c_address, c_phone, c_comment from customer, orders, lineitem, nation where c_custkey = o_custkey and l_orderkey = o_orderkey and o_orderdate >= date '1994-08-01' and o_orderdate < date '1994-08-01' + interval '3' month and l_returnflag = 'R' and c_nationkey = n_nationkey group by c_custkey, c_name, c_acctbal, c_phone, n_name, c_address, c_comment order by revenue desc limit 20; -- Q11 select ps_partkey, sum(ps_supplycost * ps_availqty) as value from partsupp, supplier, nation where ps_suppkey = s_suppkey and s_nationkey = n_nationkey and n_name = 'INDONESIA' group by ps_partkey having sum(ps_supplycost * ps_availqty) > ( select sum(ps_supplycost * ps_availqty) * 0.0001000000 from partsupp, supplier, nation where ps_suppkey = s_suppkey and s_nationkey = n_nationkey and n_name = 'INDONESIA' ) order by value desc; -- Q12 select l_shipmode, sum(case when o_orderpriority = '1-URGENT' or o_orderpriority = '2-HIGH' then 1 else 0 end) as high_line_count, sum(case when o_orderpriority <> '1-URGENT' and o_orderpriority <> '2-HIGH' then 1 else 0 end) as low_line_count from orders, lineitem where o_orderkey = l_orderkey and l_shipmode in ('REG AIR', 'TRUCK') and l_commitdate < l_receiptdate and l_shipdate < l_commitdate and l_receiptdate >= date '1994-01-01' and l_receiptdate < date '1994-01-01' + interval '1' year group by l_shipmode order by l_shipmode; -- Q13 select c_count, count(*) as custdist from ( select c_custkey, count(o_orderkey) from customer left outer join orders on c_custkey = o_custkey and o_comment not like '%pending%requests%' group by c_custkey ) as c_orders (c_custkey, c_count) group by c_count order by custdist desc, c_count desc; -- Q14 select 100.00 * sum(case when p_type like 'PROMO%' then l_extendedprice * (1 - l_discount) else 0 end) / sum(l_extendedprice * (1 - l_discount)) as promo_revenue from lineitem, part where l_partkey = p_partkey and l_shipdate >= date '1994-11-01' and l_shipdate < date '1994-11-01' + interval '1' month; -- Q15 create view revenue0 (supplier_no, total_revenue) as select l_suppkey, sum(l_extendedprice * (1 - l_discount)) from lineitem where l_shipdate >= date '1997-10-01' and l_shipdate < date '1997-10-01' + interval '3' month group by l_suppkey; select s_suppkey, s_name, s_address, s_phone, total_revenue from supplier, revenue0 where s_suppkey = supplier_no and total_revenue = ( select max(total_revenue) from revenue0 ) order by s_suppkey; drop view revenue0; -- Q16 select p_brand, p_type, p_size, count(distinct ps_suppkey) as supplier_cnt from partsupp, part where p_partkey = ps_partkey and p_brand <> 'Brand#44' and p_type not like 'SMALL BURNISHED%' and p_size in (36, 27, 34, 45, 11, 6, 25, 16) and ps_suppkey not in ( select s_suppkey from supplier where s_comment like '%Customer%Complaints%' ) group by p_brand, p_type, p_size order by supplier_cnt desc, p_brand, p_type, p_size; -- Q17 select sum(l_extendedprice) / 7.0 as avg_yearly from lineitem, part where p_partkey = l_partkey and p_brand = 'Brand#42' and p_container = 'JUMBO PACK' and l_quantity < ( select 0.2 * avg(l_quantity) from lineitem where l_partkey = p_partkey ); -- Q18 select c_name, c_custkey, o_orderkey, o_orderdate, o_totalprice, sum(l_quantity) from customer, orders, lineitem where o_orderkey in ( select l_orderkey from lineitem group by l_orderkey having sum(l_quantity) > 312 ) and c_custkey = o_custkey and o_orderkey = l_orderkey group by c_name, c_custkey, o_orderkey, o_orderdate, o_totalprice order by o_totalprice desc, o_orderdate limit 100; -- Q19 select sum(l_extendedprice* (1 - l_discount)) as revenue from lineitem, part where ( p_partkey = l_partkey and p_brand = 'Brand#43' and p_container in ('SM CASE', 'SM BOX', 'SM PACK', 'SM PKG') and l_quantity >= 5 and l_quantity <= 5 + 10 and p_size between 1 and 5 and l_shipmode in ('AIR', 'AIR REG') and l_shipinstruct = 'DELIVER IN PERSON' ) or ( p_partkey = l_partkey and p_brand = 'Brand#45' and p_container in ('MED BAG', 'MED BOX', 'MED PKG', 'MED PACK') and l_quantity >= 12 and l_quantity <= 12 + 10 and p_size between 1 and 10 and l_shipmode in ('AIR', 'AIR REG') and l_shipinstruct = 'DELIVER IN PERSON' ) or ( p_partkey = l_partkey and p_brand = 'Brand#11' and p_container in ('LG CASE', 'LG BOX', 'LG PACK', 'LG PKG') and l_quantity >= 24 and l_quantity <= 24 + 10 and p_size between 1 and 15 and l_shipmode in ('AIR', 'AIR REG') and l_shipinstruct = 'DELIVER IN PERSON' ); -- Q20 select s_name, s_address from supplier, nation where s_suppkey in ( select ps_suppkey from partsupp where ps_partkey in ( select p_partkey from part where p_name like 'magenta%' ) and ps_availqty > ( select 0.5 * sum(l_quantity) from lineitem where l_partkey = ps_partkey and l_suppkey = ps_suppkey and l_shipdate >= date '1996-01-01' and l_shipdate < date '1996-01-01' + interval '1' year ) ) and s_nationkey = n_nationkey and n_name = 'RUSSIA' order by s_name; -- Q21 select s_name, count(*) as numwait from supplier, lineitem l1, orders, nation where s_suppkey = l1.l_suppkey and o_orderkey = l1.l_orderkey and o_orderstatus = 'F' and l1.l_receiptdate > l1.l_commitdate and exists ( select * from lineitem l2 where l2.l_orderkey = l1.l_orderkey and l2.l_suppkey <> l1.l_suppkey ) and not exists ( select * from lineitem l3 where l3.l_orderkey = l1.l_orderkey and l3.l_suppkey <> l1.l_suppkey and l3.l_receiptdate > l3.l_commitdate ) and s_nationkey = n_nationkey and n_name = 'MOZAMBIQUE' group by s_name order by numwait desc, s_name limit 100; -- Q22 select cntrycode, count(*) as numcust, sum(c_acctbal) as totacctbal from ( select substring(c_phone from 1 for 2) as cntrycode, c_acctbal from customer where substring(c_phone from 1 for 2) in ('13', '31', '23', '29', '30', '18', '17') and c_acctbal > ( select avg(c_acctbal) from customer where c_acctbal > 0.00 and substring(c_phone from 1 for 2) in ('13', '31', '23', '29', '30', '18', '17') ) and not exists ( select * from orders where o_custkey = c_custkey ) ) as custsale group by cntrycode order by cntrycode;
Test results
Query | Query duration on the producer instance (unit: seconds) | Query duration on the consumer instance (unit: seconds) |
---|---|---|
Q1 | 287.04 | 291.46 |
Q2 | 18.49 | 20.14 |
Q3 | 143.08 | 169.46 |
Q4 | 61.54 | 72.78 |
Q5 | 105.46 | 152.77 |
Q6 | 23.78 | 32.56 |
Q7 | 84.42 | 96.63 |
Q8 | 77.01 | 87.33 |
Q9 | 329.42 | 340.8 |
Q10 | 81.72 | 89.85 |
Q11 | 18.18 | 18.24 |
Q12 | 62.93 | 70.79 |
Q13 | 141.13 | 146.47 |
Q14 | 29.35 | 38.33 |
Q15 | 56.76 | 74.08 |
Q16 | 20.47 | 20.27 |
Q17 | 944.35 | 960.16 |
Q18 | 228.83 | 256.7 |
Q19 | 57.03 | 65.63 |
Q20 | 192.67 | 199.1 |
Q21 | 289.82 | 303.06 |
Q22 | 48.86 | 57.07 |
Total duration | 3,302.32 | 3,563.69 |
Conclusions
In the TPC-H test scenario that involves 100 GB of shared data, the consumer instance can provide more than 90% the query performance of the producer instance.