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首页 云原生数据库 PolarDB 云原生数据库PolarDB PostgreSQL版 自研内核能力 向量化引擎 性能指标

性能指标

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向量化引擎对复杂SQL查询操作有明显的加速，查询性能对比行存引擎可提升50倍以上。本文以TPC-H测试的数据表和SQL为例，体验向量化引擎优势。

说明

本文的TPC-H的实现基于TPC-H的基准测试，并不能与已发布的TPC-H基准测试结果相比较，本文中的测试并不符合TPC-H基准测试的所有要求。

测试说明

TPC-H作为业界常用性能标准测试，由TPC委员会制定发布，用于评测数据库的分析能力。本次向量化引擎查询基础数据包含8张数据表，进行22条复杂的SQL查询，查询语句包含单表统计、多表 Join、子查询、聚合、排序等。

测试数据量：100 GB。

测试环境：

说明

ECS实例和PolarDB集群需保证在同一个VPC中。

  • ECS：

    • 实例规格：ecs.c5.4xlarge，挂载磁盘空间大于150 GB。

    • 实例镜像：Alibaba Cloud Linux 3.2104 64位。

  • PolarDB PostgreSQL版集群：

    • 数据库引擎：PostgreSQL 14，且内核小版本14.10.20.0及以上。

    • 产品版本：企业版。

    • 子系列：独享规格。

    • 规格：32核256 GB。

测试步骤

  1. ECS侧准备测试数据。

    1. 下载TPCH工具：dbgen.tar.gz。解压并编译。

      ---解压
tar -zxvf dbgen.tar.gz
---编译
cd ./dbgen
make -f makefile.suite

    2. 使用TPCH工具生成100 GB测试数据，预计执行时间约30分钟。

      ---切换到dbgen目录
./dbgen -s 100 -f

  2. PolarDB集群创建高权限账号和测试用数据库tpchdb，详细操作请参考创建数据库账号和创建数据库。

  3. 使用高权限账号连接PolarDB集群，将测试数据导入tpchdb数据库，连接集群请参考连接数据库集群，安装psql客户端请参考PolarDB-Tools。

    ---切换到dbgen目录，并使用psql连接集群
\i ./dss.ddl
\copy part from ./part.tbl with delimiter as '|' NULL '';
\copy region from ./region.tbl with delimiter as '|' NULL '';
\copy nation from ./nation.tbl with delimiter as '|' NULL '';
\copy orders from ./orders.tbl with delimiter as '|' NULL '';
\copy customer from ./customer.tbl with delimiter as '|' NULL '';
\copy lineitem from ./lineitem.tbl with delimiter as '|' NULL '';
\copy partsupp from ./partsupp.tbl with delimiter as '|' NULL '';
\copy supplier from ./supplier.tbl with delimiter as '|' NULL '';

  4. 在测试用数据库tpchdb中安装polar_csi插件，详细操作及使用限制请参考前提条件和安装向量化引擎插件。

  5. 为测试表格创建列存索引。

    --partsupp表
ALTER TABLE PARTSUPP ADD CONSTRAINT partsupp_pkey PRIMARY KEY (PS_PARTKEY, PS_SUPPKEY);
CREATE INDEX imps ON partsupp USING csi(ps_partkey, ps_suppkey, ps_availqty, ps_supplycost, ps_comment);

--part表
ALTER TABLE PART ADD CONSTRAINT part_kpey PRIMARY KEY (P_PARTKEY);
CREATE INDEX im_p ON part USING csi(p_partkey, p_name, p_mfgr, p_brand, p_type, p_size, p_container, p_retailprice, p_comment);

--supplier表
ALTER TABLE SUPPLIER ADD CONSTRAINT supplier_pkey PRIMARY KEY (S_SUPPKEY);
CREATE INDEX im_s ON supplier USING csi(s_suppkey, s_name, s_address, s_nationkey, s_phone, s_acctbal, s_comment);

--customer表
ALTER TABLE CUSTOMER ADD CONSTRAINT customer_pkey PRIMARY KEY (C_CUSTKEY);
CREATE INDEX im_c ON customer USING csi(c_custkey, c_name, c_address, c_nationkey, c_phone, c_acctbal, c_mktsegment, c_comment);

--orders表
ALTER TABLE ORDERS ADD CONSTRAINT orders_pkey PRIMARY KEY (O_ORDERKEY);
CREATE INDEX im_o ON orders USING csi(o_orderkey, o_custkey, o_orderstatus, o_totalprice, o_orderdate, o_orderpriority, o_clerk, o_shippriority, o_comment);

--lineitem表
ALTER TABLE LINEITEM ADD CONSTRAINT lineitem_pkey PRIMARY KEY (L_ORDERKEY, L_LINENUMBER);
CREATE INDEX im_l ON lineitem USING csi(l_orderkey, l_partkey, l_suppkey, l_linenumber, l_quantity, l_extendedprice, l_discount, l_tax, l_returnflag, l_linestatus, l_shipdate, l_commitdate, l_receiptdate, l_shipinstruct, l_shipmode, l_comment);

--nation表
ALTER TABLE NATION ADD CONSTRAINT nation_pkey PRIMARY KEY (N_NATIONKEY);
CREATE INDEX im_n ON nation USING csi(n_nationkey, n_name, n_regionkey, n_comment);

--region表
ALTER TABLE REGION ADD CONSTRAINT region_pkey PRIMARY KEY (R_REGIONKEY);
CREATE INDEX im_r ON region USING csi(r_regionkey, r_name, r_comment);

  6. 设置向量化引擎相关参数，便于后续查询。详细参数介绍请参考参数说明。

    SET polar_csi.enable_pk TO ON;
SET polar_csi.enable_query TO ON;
SET polar_csi.exec_parallel TO 32;
SET polar_csi.cost_threshold = 0;
SET polar_csi.memory_limit = 49152;

  7. 进行22条复杂的SQL查询并统计耗时。

    说明

    使用psql连接集群时可以使用\timing统计语句总计执行时间。

    查询语句

    SQL

    Q1

    EXPLAIN ANALYZE 
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' - '60 day'::interval
GROUP BY
    l_returnflag,
    l_linestatus
ORDER BY
    l_returnflag,
    l_linestatus;

    Q2

    EXPLAIN ANALYZE 
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 = 43
    and p_type like '%NICKEL'
    and s_nationkey = n_nationkey
    and n_regionkey = r_regionkey
    and r_name = 'MIDDLE EAST'
    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 = 'MIDDLE EAST'
    )
ORDER BY
    s_acctbal desc,
    n_name,
    s_name,
    p_partkey limit 100;

    Q3

    EXPLAIN ANALYZE 
SELECT
    l_orderkey,
    sum(l_extendedprice * (1 - l_discount)) as revenue,
    o_orderdate,
    o_shippriority
FROM
    customer,
    orders,
    lineitem
WHERE
    c_mktsegment = 'FURNITURE'
    and c_custkey = o_custkey
    and l_orderkey = o_orderkey
    and o_orderdate < date '1995-03-05'
    and l_shipdate > date '1995-03-05'
GROUP BY
    l_orderkey,
    o_orderdate,
    o_shippriority
ORDER BY
    revenue desc,
    o_orderdate limit 100;

    Q4

    EXPLAIN ANALYZE 
SELECT
    o_orderpriority,
    count(*) as order_count
FROM
    orders
WHERE
    o_orderdate >= date '1993-05-01'
    and o_orderdate < date '1993-05-01' + interval '3 month'::interval
    and exists (
    SELECT
    *
    FROM
    lineitem
    WHERE
    l_orderkey = o_orderkey
    and l_commitdate < l_receiptdate
    )
GROUP BY 
    o_orderpriority
ORDER BY
    o_orderpriority;

    Q5

    EXPLAIN ANALYZE 
SELECT
        n_name,
        sum(l_extendedprice * (1 - l_discount)) as revenue
FROM
        customer,
        orders,
        lineitem,
        supplier,
        nation,
        region
WHERE
        c_custkey = o_custkey
        and l_orderkey = o_orderkey
        and l_suppkey = s_suppkey
        and c_nationkey = s_nationkey
        and s_nationkey = n_nationkey
        and n_regionkey = r_regionkey
        and r_name = 'MIDDLE EAST'
        and o_orderdate >= date '1995-01-01'
        and o_orderdate < date '1995-01-01' + '1 year'::interval
GROUP BY
        n_name
ORDER BY
        revenue desc;

    Q6

    EXPLAIN ANALYZE 
SELECT
        sum(l_extendedprice * l_discount) as revenue
FROM
        lineitem
WHERE
        l_shipdate >= date '1993-01-01'
        and l_shipdate < date '1993-01-01' + '1 year'::interval
        and l_discount between 0.03 - 0.01 and 0.03 + 0.01
        and l_quantity < 24;

    Q7

    EXPLAIN ANALYZE  
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 = 'FRANCE'
                AND n2.n_name = 'GERMANY')
            OR (n1.n_name = 'GERMANY'
                AND n2.n_name = 'FRANCE'))
        AND l_shipdate BETWEEN CAST('1995-01-01' AS date)
        AND CAST('1996-12-31' AS date)) AS shipping
GROUP BY
    supp_nation,
    cust_nation,
    l_year
ORDER BY
    supp_nation,
    cust_nation,
    l_year;

    Q8

    EXPLAIN ANALYZE 
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 '1995-01-01'::date and '1996-12-31'::date
                        and p_type = 'PROMO POLISHED NICKEL'
        ) as all_nations
GROUP BY
        o_year
ORDER BY
        o_year;

    Q9

    EXPLAIN ANALYZE 
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 '%navajo%'
        ) as profit
GROUP BY
        nation,
        o_year
ORDER BY
        nation,
        o_year desc limit 100;

    Q10

    EXPLAIN ANALYZE 
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 '1993-08-01'
        and o_orderdate < date '1993-08-01' + '3 month'::interval
        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

    EXPLAIN ANALYZE 
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 = 'ALGERIA'
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 = 'ALGERIA'
                )
ORDER BY
        value desc;

    Q12

    EXPLAIN ANALYZE 
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 ('AIR', 'FOB')
        and l_commitdate < l_receiptdate
        and l_shipdate < l_commitdate
        and l_receiptdate >= date '1996-01-01'
        and l_receiptdate < date '1996-01-01' + '1 year'::interval
GROUP BY
        l_shipmode
ORDER BY
        l_shipmode;

    Q13

    EXPLAIN ANALYZE 
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

    EXPLAIN ANALYZE 
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 '1995-02-01'
        and l_shipdate < date '1995-02-01' + interval '1 month'::interval;

    Q15

    EXPLAIN ANALYZE 
WITH revenue0 as (
    SELECT
    l_suppkey as supplier_no,
    sum(l_extendedprice * (1 - l_discount)) as total_revenue
    FROM
    lineitem
    WHERE
    l_shipdate >= date '1995-08-01'
    and l_shipdate < date '1995-08-01' + '3 month'::interval
    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;

    Q16

    EXPLAIN ANALYZE 
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#13'
        and p_type not like 'ECONOMY BRUSHED%'
        and p_size in (11, 8, 10, 31, 21, 13, 32, 28)
        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 limit 100;

    Q17

    EXPLAIN ANALYZE 
SELECT
        sum(l_extendedprice) / 7.0 as avg_yearly
FROM
        lineitem,
        part
where
        p_partkey = l_partkey
        and p_brand = 'Brand#44'
        and p_container = 'MED PKG'
        and l_quantity < (
                SELECT
                        0.2 * avg(l_quantity)
                FROM
                        lineitem
                WHERE
                        l_partkey = p_partkey
        );

    Q18

    EXPLAIN ANALYZE 
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) > 313
        )
        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;
--LIMIT 100

    Q19

    EXPLAIN ANALYZE 
SELECT
        sum(l_extendedprice* (1 - l_discount)) as revenue
FROM
        lineitem,
        part
WHERE
        (
                p_partkey = l_partkey
                and p_brand = 'Brand#15'
                and p_container in ('SM CASE', 'SM BOX', 'SM PACK', 'SM PKG')
                and l_quantity >= 10 and l_quantity <= 10 + 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 >= 18 and l_quantity <= 18 + 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#21'
                and p_container in ('LG CASE', 'LG BOX', 'LG PACK', 'LG PKG')
                and l_quantity >= 30 and l_quantity <= 30 + 10
                and p_size between 1 and 15
                and l_shipmode in ('AIR', 'AIR REG')
                and l_shipinstruct = 'DELIVER IN PERSON'
        );
--LIMIT -1

    Q20

    EXPLAIN ANALYZE 
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 'lemon%'
                        )
                        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 '1997-01-01'
                                        and l_shipdate < date '1997-01-01' + '1 year'::interval
                        )
        )
        and s_nationkey = n_nationkey
        and n_name = 'INDONESIA'
ORDER BY
        s_name limit 100;

    Q21

    EXPLAIN ANALYZE 
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 = 'INDIA'
GROUP BY
        s_name
ORDER BY
        numwait desc,
        s_name limit 100;
--LIMIT 100

    Q22

    EXPLAIN ANALYZE 
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
                                ('16', '17', '24', '21', '19', '22', '15')
                        and c_acctbal > (
                                SELECT
                                        avg(c_acctbal)
                                FROM
                                        customer
                                WHERE
                                        c_acctbal > 0.00
                                        and substring(c_phone from 1 for 2) in
                                                ('16', '17', '24', '21', '19', '22', '15')
                        )
                        and not exists (
                                SELECT
                                        *
                                FROM
                                        orders
                                WHERE
                                        o_custkey = c_custkey
                        )
        ) as custsale
GROUP BY
        cntrycode
ORDER BY
        cntrycode;
--LIMIT -1

测试结果

创建列存索引耗时

测试结论：单线程串行创建共耗时39分钟。

列存索引占用空间

测试结论：

  • 行存引擎Heap表占用空间为126 GB。

  • 列存索引占用空间：

    • 不包含主键的情况下（即：polar_csi.enable_pk=false），总占用空间为25 GB，为行存引擎Heap表的20%。该模式适用于静态数据构建列存索引。

    • 包含主键的情况下（即：polar_csi.enable_pk=true），总占用空间为53 GB，为行存引擎Heap表的42%。该模式适用于动态数据的列存索引。

    表名称

    表中包含的数据行数

    PostgreSQL行存

    列存索引（不包含主键）

    列存索引（包含主键）

    LINEITEM

    600,037,902

    86 GB

    17 GB

    36 GB

    ORDERS

    150,000,000

    20 GB

    4406 MB

    9052 MB

    PARTSUPP

    80,000,000

    13 GB

    3452 MB

    6689 MB

    PART

    20,000,000

    3204 MB

    487 MB

    634 MB

    CUSTOMER

    15,000,000

    2808 MB

    992 MB

    1108 MB

    SUPPLIER

    1,000,000

    176 MB

    63 MB

    72 MB

    NATION

    25

    8 KB

    528 KB

    528 KB

    REGION

    5

    8 KB

    528 KB

    528 KB

    合计

    126 GB

    25 GB

    53 GB

查询性能

测试结果：

  • 向量化引擎总耗时：32.03秒。

  • 行存引擎总耗时：大于1863秒（Q15超时，不计时间）。

综上，向量化引擎性能是行存引擎性能的近60倍。

查询语句

PolarDB PostgreSQL版向量化引擎耗时

（单位：秒）

PostgreSQL 行存引擎耗时

（单位：秒）

Q1

1.55

41.629

Q2

0.69

78.402

Q3

1.82

18.376

Q4

1.78

3.929

Q5

2.31

14.801

Q6

1.65

4.782

Q7

2.47

17.661

Q8

2.66

21.952

Q9

3.86

362.42

Q10

1.45

18.313

Q11

0.36

8.307

Q12

0.93

7.146

Q13

2.37

308.555

Q14

0.89

10.658

Q15

0.35

超时

Q16

0.43

71.062

Q17

0.65

288

Q18

1.69

473.446

Q19

1.21

0.416

Q20

0.52

83

Q21

1.87

17.387

Q22

0.52

13.458

总计耗时

32.03

>=1863.7

PolarDB PostgreSQL向量化引擎 VS 行存引擎（TPCH 100GB耗时，单位：秒）

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