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    PolarDB：Metrik kinerja

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    PolarDB：Metrik kinerja

    更新时间：Nov 11, 2025

    Indeks Kolom dalam Memori (IMCI) secara signifikan mempercepat operasi kueri SQL kompleks dan dapat meningkatkan kinerja kueri lebih dari 50 kali dibandingkan dengan mesin penyimpanan baris. Topik ini menggunakan tabel data dan pernyataan SQL dari benchmark TPC-H untuk menunjukkan keunggulan IMCI.

    Catatan

    Implementasi TPC-H dalam topik ini didasarkan pada Pengujian benchmark TPC-H. Hasil pengujian ini tidak dapat dibandingkan dengan hasil benchmark TPC-H yang dipublikasikan karena pengujian ini tidak memenuhi semua persyaratan TPC-H.

    Deskripsi pengujian

    TPC-H adalah benchmark kinerja yang umum digunakan, dikembangkan dan dirilis oleh Transaction Processing Performance Council (TPC), untuk mengevaluasi kemampuan analitis database. Set data untuk pengujian kueri IMCI ini mencakup 8 tabel data dan menjalankan 22 kueri SQL kompleks yang melibatkan operasi seperti statistik satu tabel, penggabungan multi-tabel, subkueri, agregasi, dan pengurutan.

    • Ukuran data pengujian: 100 GB.

    • Lingkungan pengujian:

      • ECS:

        • Jenis instance: 16-core 32 GB (ecs.c5.4xlarge), dengan ruang disk terpasang lebih dari 150 GB.

        • Citra: Alibaba Cloud Linux 3.2104 LTS 64-bit.

      • PolarDB for PostgreSQL kluster:

        • Mesin database: PostgreSQL 14, dengan versi mesin minor 14.10.20.0 atau yang lebih baru.

        • Edisi: Edisi Perusahaan.

        • Seri: Spesifikasi khusus.

        • Spesifikasi: 32-core 256 GB.

      Catatan

      Pastikan instance ECS dan kluster PolarDB berada dalam virtual private cloud (VPC) yang sama.

    Persiapan data

    1. Pada kluster PolarDB for PostgreSQL, buat akun istimewa dan buat database pengujian tpchdb.

    2. Masuk ke instance ECS dan siapkan data pengujian.

      1. Unduh alat TPC-H dbgen.tar.gz, unggah ke instance ECS, lalu ekstrak dan kompilasi.

        --- Ekstrak paket
tar -zxvf dbgen.tar.gz
--- Kompilasi kode
cd ./dbgen
make -f makefile.suite

      2. Gunakan alat TPC-H untuk menghasilkan data pengujian sebesar 100 GB. Operasi ini memerlukan waktu sekitar 30 menit.

        --- Ubah direktori ke dbgen
./dbgen -s 100 -f

    3. Pada instance ECS, gunakan alat koneksi database yang disediakan oleh PolarDB (PolarDB-Tools) untuk terhubung ke kluster Anda dan impor data pengujian ke database pengujian tpchdb.

      1. Pastikan Anda berada di direktori dbgen. Keluaran yang diharapkan adalah /<installation_path>/dbgen.

        --- Konfirmasi direktori saat ini
pwd

      2. Gunakan PolarDB-Tools untuk terhubung ke kluster dari baris perintah.

        /u01/polardb_pg_tools/bin/psql  -h <cluster_endpoint> -p <port_for_cluster_endpoint> -U <privileged_account> -d tpchdb

      3. Impor data pengujian.

        \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 '';

    Aktifkan dan buat indeks penyimpanan kolom

    1. Berdasarkan versi kluster PolarDB for PostgreSQL Anda, aktifkan fitur IMCI.

    2. Buat IMCI untuk tabel pengujian.

      --tabel partsupp
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);

--tabel part
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);

--tabel supplier
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);

--tabel customer
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);

--tabel orders
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);

--tabel lineitem
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);

--tabel nation
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);

--tabel region
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);

    3. Tetapkan parameter terkait IMCI untuk kueri selanjutnya. Untuk informasi lebih lanjut tentang parameter tersebut, lihat Parameter.

      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 TO 0;
SET polar_csi.memory_limit TO 65536;

    Jalankan kueri SQL

    Pada kluster PolarDB for PostgreSQL, jalankan 22 kueri SQL kompleks dan catat waktu eksekusinya.

    1. Anda dapat menggunakan \timing untuk mencatat total waktu eksekusi suatu pernyataan SQL.

      \timing

    2. Jalankan pernyataan SQL berikut secara berurutan.

      Query

      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

    Hasil pengujian

    Waktu yang diperlukan untuk membuat indeks penyimpanan kolom

    Kesimpulan: Pembuatan serial single-thread memerlukan total waktu 39 menit.

    Ruang penyimpanan yang digunakan oleh indeks penyimpanan kolom

    Kesimpulan:

    • Tabel heap pada mesin penyimpanan baris menggunakan ruang penyimpanan sebesar 126 GB.

    • Penggunaan ruang indeks penyimpanan kolom:

      • Jika kunci primer tidak disertakan (yaitu, polar_csi.enable_pk=false), IMCI menggunakan total ruang penyimpanan sebesar 25 GB, yaitu 20% dari ruang penyimpanan yang digunakan oleh tabel heap pada mesin penyimpanan baris. Mode ini cocok untuk membuat IMCI pada data statis.

      • Jika kunci primer disertakan (yaitu, polar_csi.enable_pk=true), IMCI menggunakan total ruang penyimpanan sebesar 53 GB, yaitu 42% dari ruang penyimpanan yang digunakan oleh tabel heap pada mesin penyimpanan baris. Mode ini cocok untuk membuat IMCI pada data dinamis.

      Nama tabel

      Jumlah baris dalam tabel

      Penyimpanan baris PostgreSQL

      Indeks penyimpanan kolom (tidak termasuk kunci primer)

      IMCI (dengan kunci primer)

      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

      Total

      866.037.932

      126 GB

      25 GB

      53 GB

    Kinerja kueri

    Kesimpulan:

    • Total waktu eksekusi dengan IMCI: 23,92 detik.

    • Total waktu eksekusi dengan mesin penyimpanan baris: 2.363,7 detik (Q15 timeout dan dihitung sebagai 500 detik).

    Kesimpulannya, IMCI berkinerja hampir 100 kali lebih cepat daripada mesin penyimpanan baris.

    Query

    Waktu yang diperlukan oleh IMCI (detik)

    Waktu yang diperlukan oleh mesin penyimpanan baris PostgreSQL (detik)

    Rasio percepatan (kali)

    Q1

    0,98

    41,629

    42,48

    Q2

    0,23

    78,402

    340,88

    Q3

    0,88

    18,376

    20,88

    Q4

    0,78

    3,929

    5,04

    Q5

    0,89

    14,801

    16,63

    Q6

    0,27

    4,782

    17,71

    Q7

    0,86

    17,661

    20,54

    Q8

    0,71

    21,952

    30,92

    Q9

    3,77

    362,42

    96,13

    Q10

    1,41

    18,313

    12,99

    Q11

    0,15

    8,307

    55,38

    Q12

    0,61

    7,146

    11,71

    Q13

    2,31

    308,555

    133,57

    Q14

    0,67

    10,658

    15,91

    Q15

    0,44

    Timeout, dihitung sebagai 500

    1136,36

    Q16

    0,44

    71,062

    161,50

    Q17

    0,84

    288

    342,86

    Q18

    2,58

    473,446

    183,51

    Q19

    1,42

    0,416

    0,29

    Q20

    0,54

    83

    153,70

    Q21

    2,68

    17,387

    6,49

    Q22

    0,46

    13,458

    29,26

    Ringkasan

    23,92

    2.363,7

    98,82

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