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Star Schema Benchmark

Star Schema Benchmark(SSB)は、データウェアハウスシナリオにおける軽量なパフォーマンステストセットです。SSBはTPC-Hに基づく簡素化されたスタースキーマデータを提供し、主にスタースキーマにおけるマルチテーブルJOINクエリのパフォーマンステストに使用されます。また、業界では通常SSBをワイドテーブルモデル（SSB flatと呼ばれる）に平坦化し、クエリエンジンのパフォーマンステストに使用しています。

本ドキュメントでは主に、SSB 1000Gテストセットにおけるのパフォーマンスを紹介します。

Apache Dorisバージョン2.0.15.1に基づき、SSB標準テストデータセットで13のクエリをテストしました。

1. ハードウェア環境​

ハードウェア構成説明
マシン数4台のAliyun仮想マシン（1FE、3BEs）
CPUIntel Xeon (Ice Lake) Platinum 8369B 32C
メモリ128G
ディスクEnterprise SSD (PL0)

2. ソフトウェア環境​

  • Doris 3BEsと1FEをデプロイ
  • カーネルバージョン：Linux version 5.15.0-101-generic
  • OSバージョン：Ubuntu 20.04 LTS (Focal Fossa)
  • Dorisソフトウェアバージョン：Apache Doris 2.0.15.1
  • JDK：openjdk version "1.8.0_352-352"

3. テストデータ量​

SSBテーブル名行数注釈
lineorder5,999,989,709商品注文詳細
customer30,000,000顧客情報
part2,000,000部品情報
supplier2,000,000サプライヤー情報
dates2,556日付
lineorder_flat5,999,989,709データ平坦化後のワイドテーブル

4. SSB Flatテスト結果​

ここではApache Doris 2.0.15.1を比較テストに使用します。テストでは、Query Time(ms)を主要なパフォーマンス指標として使用します。テスト結果は以下の通りです：

QueryDoris 2.0.15.1 (ms)
q1.180
q1.210
q1.3110
q2.11680
q2.21210
q2.31060
q3.12010
q3.21560
q3.3600
q3.410
q4.12380
q4.2190
q4.3120
合計11020

5. 標準SSBテスト結果​

ここではApache Doris 2.0.15.1を比較テストに使用します。テストでは、Query Time(ms)を主要なパフォーマンス指標として使用します。テスト結果は以下の通りです：

QueryDoris 2.0.15.1 (ms)
q1.1330
q1.280
q1.380
q2.11780
q2.21970
q2.31510
q3.14000
q3.21720
q3.31510
q3.4160
q4.14010
q4.2840
q4.3400
合計19390

6. 環境準備​

まず公式ドキュメントを参照してApache Dorisをインストール・デプロイし、正常に動作するDorisクラスター（少なくとも1 FE 1 BEを含む、1 FE 3 BEsが推奨）を取得してください。

7. データ準備​

7.1 SSBデータ生成ツールのダウンロードとインストール​

以下のスクリプトを実行して、ssb-toolsツールをダウンロードし、コンパイルします。

sh bin/build-ssb-dbgen.sh

インストールが成功すると、dbgenバイナリがssb-dbgen/ディレクトリ下に生成されます。

7.2 SSBテストセットの生成​

以下のスクリプトを実行してSSBデータセットを生成します：

sh bin/gen-ssb-data.sh -s 1000

注意1: sh gen-ssb-data.sh -hでスクリプトのヘルプを確認してください。

注意2: データはssb-data/ディレクトリ配下に.tblという拡張子で生成されます。合計ファイルサイズは約600GBで、生成には数分から1時間程度かかる場合があります。

注意3: デフォルトでは100Gの標準テストデータセットが生成されます。

7.3 テーブルの作成​

7.3.1 doris-cluster.confファイルの準備​

スクリプトをインポートする前に、doris-cluster.confファイルにFEのIPポートやその他の情報を記述する必要があります。

ファイルは${DORIS_HOME}/tools/ssb-tools/conf/配下に配置されています。

ファイルの内容には、FEのIP、HTTPポート、ユーザー名、パスワード、およびインポートするデータのDB名が含まれます：

# Any of FE host
export FE_HOST='127.0.0.1'
# http_port in fe.conf
export FE_HTTP_PORT=8030
# query_port in fe.conf
export FE_QUERY_PORT=9030
# Doris username
export USER='root'
# Doris password
export PASSWORD=''
# The database where SSB tables located
export DB='ssb'

7.3.2 以下のスクリプトを実行してSSBテーブルを生成・作成する:​

sh bin/create-ssb-tables.sh -s 1000

または、create-ssb-tables.sql と create-ssb-flat-table.sql のテーブル作成文をコピーして、MySQLクライアントで実行してください。

7.4 データのインポート​

以下のコマンドを使用して、SSBテストセットの全データインポートとSSB FLATワイドテーブルデータの合成を完了し、テーブルにインポートします。

 sh bin/load-ssb-data.sh

7.5 インポートされたデータの確認​

select count(*) from part;
select count(*) from customer;
select count(*) from supplier;
select count(*) from dates;
select count(*) from lineorder;
select count(*) from lineorder_flat;

7.6 Query Test​

7.6.1 SQLのSSB FLATテスト​

--Q1.1
SELECT SUM(LO_EXTENDEDPRICE * LO_DISCOUNT) AS revenue
FROM lineorder_flat
WHERE
    LO_ORDERDATE >= 19930101
    AND LO_ORDERDATE <= 19931231
    AND LO_DISCOUNT BETWEEN 1 AND 3
    AND LO_QUANTITY < 25;

--Q1.2
SELECT SUM(LO_EXTENDEDPRICE * LO_DISCOUNT) AS revenue
FROM lineorder_flat
WHERE
    LO_ORDERDATE >= 19940101
  AND LO_ORDERDATE <= 19940131
  AND LO_DISCOUNT BETWEEN 4 AND 6
  AND LO_QUANTITY BETWEEN 26 AND 35;

--Q1.3
SELECT SUM(LO_EXTENDEDPRICE * LO_DISCOUNT) AS revenue
FROM lineorder_flat
WHERE
    weekofyear(LO_ORDERDATE) = 6
  AND LO_ORDERDATE >= 19940101
  AND LO_ORDERDATE <= 19941231
  AND LO_DISCOUNT BETWEEN 5 AND 7
  AND LO_QUANTITY BETWEEN 26 AND 35;

--Q2.1
SELECT
    SUM(LO_REVENUE), (LO_ORDERDATE DIV 10000) AS YEAR,
    P_BRAND
FROM lineorder_flat
WHERE P_CATEGORY = 'MFGR#12' AND S_REGION = 'AMERICA'
GROUP BY YEAR, P_BRAND
ORDER BY YEAR, P_BRAND;

--Q2.2
SELECT
    SUM(LO_REVENUE), (LO_ORDERDATE DIV 10000) AS YEAR,
    P_BRAND
FROM lineorder_flat
WHERE
    P_BRAND >= 'MFGR#2221'
  AND P_BRAND <= 'MFGR#2228'
  AND S_REGION = 'ASIA'
GROUP BY YEAR, P_BRAND
ORDER BY YEAR, P_BRAND;

--Q2.3
SELECT
    SUM(LO_REVENUE), (LO_ORDERDATE DIV 10000) AS YEAR,
    P_BRAND
FROM lineorder_flat
WHERE
    P_BRAND = 'MFGR#2239'
  AND S_REGION = 'EUROPE'
GROUP BY YEAR, P_BRAND
ORDER BY YEAR, P_BRAND;

--Q3.1
SELECT
    C_NATION,
    S_NATION, (LO_ORDERDATE DIV 10000) AS YEAR,
    SUM(LO_REVENUE) AS revenue
FROM lineorder_flat
WHERE
    C_REGION = 'ASIA'
  AND S_REGION = 'ASIA'
  AND LO_ORDERDATE >= 19920101
  AND LO_ORDERDATE <= 19971231
GROUP BY C_NATION, S_NATION, YEAR
ORDER BY YEAR ASC, revenue DESC;

--Q3.2
SELECT
    C_CITY,
    S_CITY, (LO_ORDERDATE DIV 10000) AS YEAR,
    SUM(LO_REVENUE) AS revenue
FROM lineorder_flat
WHERE
    C_NATION = 'UNITED STATES'
  AND S_NATION = 'UNITED STATES'
  AND LO_ORDERDATE >= 19920101
  AND LO_ORDERDATE <= 19971231
GROUP BY C_CITY, S_CITY, YEAR
ORDER BY YEAR ASC, revenue DESC;

--Q3.3
SELECT
    C_CITY,
    S_CITY, (LO_ORDERDATE DIV 10000) AS YEAR,
    SUM(LO_REVENUE) AS revenue
FROM lineorder_flat
WHERE
    C_CITY IN ('UNITED KI1', 'UNITED KI5')
  AND S_CITY IN ('UNITED KI1', 'UNITED KI5')
  AND LO_ORDERDATE >= 19920101
  AND LO_ORDERDATE <= 19971231
GROUP BY C_CITY, S_CITY, YEAR
ORDER BY YEAR ASC, revenue DESC;

--Q3.4
SELECT
    C_CITY,
    S_CITY, (LO_ORDERDATE DIV 10000) AS YEAR,
    SUM(LO_REVENUE) AS revenue
FROM lineorder_flat
WHERE
    C_CITY IN ('UNITED KI1', 'UNITED KI5')
  AND S_CITY IN ('UNITED KI1', 'UNITED KI5')
  AND LO_ORDERDATE >= 19971201
  AND LO_ORDERDATE <= 19971231
GROUP BY C_CITY, S_CITY, YEAR
ORDER BY YEAR ASC, revenue DESC;

--Q4.1
SELECT (LO_ORDERDATE DIV 10000) AS YEAR,
    C_NATION,
    SUM(LO_REVENUE - LO_SUPPLYCOST) AS profit
FROM lineorder_flat
WHERE
    C_REGION = 'AMERICA'
  AND S_REGION = 'AMERICA'
  AND P_MFGR IN ('MFGR#1', 'MFGR#2')
GROUP BY YEAR, C_NATION
ORDER BY YEAR ASC, C_NATION ASC;

--Q4.2
SELECT (LO_ORDERDATE DIV 10000) AS YEAR,
    S_NATION,
    P_CATEGORY,
    SUM(LO_REVENUE - LO_SUPPLYCOST) AS profit
FROM lineorder_flat
WHERE
    C_REGION = 'AMERICA'
  AND S_REGION = 'AMERICA'
  AND LO_ORDERDATE >= 19970101
  AND LO_ORDERDATE <= 19981231
  AND P_MFGR IN ('MFGR#1', 'MFGR#2')
GROUP BY YEAR, S_NATION, P_CATEGORY
ORDER BY
    YEAR ASC,
    S_NATION ASC,
    P_CATEGORY ASC;

--Q4.3
SELECT (LO_ORDERDATE DIV 10000) AS YEAR,
    S_CITY,
    P_BRAND,
    SUM(LO_REVENUE - LO_SUPPLYCOST) AS profit
FROM lineorder_flat
WHERE
    S_NATION = 'UNITED STATES'
  AND LO_ORDERDATE >= 19970101
  AND LO_ORDERDATE <= 19981231
  AND P_CATEGORY = 'MFGR#14'
GROUP BY YEAR, S_CITY, P_BRAND
ORDER BY YEAR ASC, S_CITY ASC, P_BRAND ASC;

7.6.2 SQL用SSB標準テスト​

--Q1.1
SELECT SUM(lo_extendedprice * lo_discount) AS REVENUE
FROM lineorder, dates
WHERE
    lo_orderdate = d_datekey
  AND d_year = 1993
  AND lo_discount BETWEEN 1 AND 3
  AND lo_quantity < 25;

--Q1.2
SELECT SUM(lo_extendedprice * lo_discount) AS REVENUE
FROM lineorder, dates
WHERE
    lo_orderdate = d_datekey
  AND d_yearmonth = 'Jan1994'
  AND lo_discount BETWEEN 4 AND 6
  AND lo_quantity BETWEEN 26 AND 35;
    
--Q1.3
SELECT
    SUM(lo_extendedprice * lo_discount) AS REVENUE
FROM lineorder, dates
WHERE
    lo_orderdate = d_datekey
  AND d_weeknuminyear = 6
  AND d_year = 1994
  AND lo_discount BETWEEN 5 AND 7
  AND lo_quantity BETWEEN 26 AND 35;
    
--Q2.1
SELECT SUM(lo_revenue), d_year, p_brand
FROM lineorder, dates, part, supplier
WHERE
    lo_orderdate = d_datekey
  AND lo_partkey = p_partkey
  AND lo_suppkey = s_suppkey
  AND p_category = 'MFGR#12'
  AND s_region = 'AMERICA'
GROUP BY d_year, p_brand
ORDER BY p_brand;

--Q2.2
SELECT SUM(lo_revenue), d_year, p_brand
FROM lineorder, dates, part, supplier
WHERE
    lo_orderdate = d_datekey
  AND lo_partkey = p_partkey
  AND lo_suppkey = s_suppkey
  AND p_brand BETWEEN 'MFGR#2221' AND 'MFGR#2228'
  AND s_region = 'ASIA'
GROUP BY d_year, p_brand
ORDER BY d_year, p_brand;

--Q2.3
SELECT SUM(lo_revenue), d_year, p_brand
FROM lineorder, dates, part, supplier
WHERE
    lo_orderdate = d_datekey
  AND lo_partkey = p_partkey
  AND lo_suppkey = s_suppkey
  AND p_brand = 'MFGR#2239'
  AND s_region = 'EUROPE'
GROUP BY d_year, p_brand
ORDER BY d_year, p_brand;

--Q3.1
SELECT
    c_nation,
    s_nation,
    d_year,
    SUM(lo_revenue) AS REVENUE
FROM customer, lineorder, supplier, dates
WHERE
    lo_custkey = c_custkey
  AND lo_suppkey = s_suppkey
  AND lo_orderdate = d_datekey
  AND c_region = 'ASIA'
  AND s_region = 'ASIA'
  AND d_year >= 1992
  AND d_year <= 1997
GROUP BY c_nation, s_nation, d_year
ORDER BY d_year ASC, REVENUE DESC;

--Q3.2
SELECT
    c_city,
    s_city,
    d_year,
    SUM(lo_revenue) AS REVENUE
FROM customer, lineorder, supplier, dates
WHERE
    lo_custkey = c_custkey
  AND lo_suppkey = s_suppkey
  AND lo_orderdate = d_datekey
  AND c_nation = 'UNITED STATES'
  AND s_nation = 'UNITED STATES'
  AND d_year >= 1992
  AND d_year <= 1997
GROUP BY c_city, s_city, d_year
ORDER BY d_year ASC, REVENUE DESC;

--Q3.3
SELECT
    c_city,
    s_city,
    d_year,
    SUM(lo_revenue) AS REVENUE
FROM customer, lineorder, supplier, dates
WHERE
    lo_custkey = c_custkey
  AND lo_suppkey = s_suppkey
  AND lo_orderdate = d_datekey
  AND (
            c_city = 'UNITED KI1'
        OR c_city = 'UNITED KI5'
    )
  AND (
            s_city = 'UNITED KI1'
        OR s_city = 'UNITED KI5'
    )
  AND d_year >= 1992
  AND d_year <= 1997
GROUP BY c_city, s_city, d_year
ORDER BY d_year ASC, REVENUE DESC;

--Q3.4
SELECT
    c_city,
    s_city,
    d_year,
    SUM(lo_revenue) AS REVENUE
FROM customer, lineorder, supplier, dates
WHERE
    lo_custkey = c_custkey
  AND lo_suppkey = s_suppkey
  AND lo_orderdate = d_datekey
  AND (
            c_city = 'UNITED KI1'
        OR c_city = 'UNITED KI5'
    )
  AND (
            s_city = 'UNITED KI1'
        OR s_city = 'UNITED KI5'
    )
  AND d_yearmonth = 'Dec1997'
GROUP BY c_city, s_city, d_year
ORDER BY d_year ASC, REVENUE DESC;

--Q4.1
SELECT
    d_year,
    c_nation,
    SUM(lo_revenue - lo_supplycost) AS PROFIT
FROM dates, customer, supplier, part, lineorder
WHERE
    lo_custkey = c_custkey
  AND lo_suppkey = s_suppkey
  AND lo_partkey = p_partkey
  AND lo_orderdate = d_datekey
  AND c_region = 'AMERICA'
  AND s_region = 'AMERICA'
  AND (
            p_mfgr = 'MFGR#1'
        OR p_mfgr = 'MFGR#2'
    )
GROUP BY d_year, c_nation
ORDER BY d_year, c_nation;

--Q4.2
SELECT
    d_year,
    s_nation,
    p_category,
    SUM(lo_revenue - lo_supplycost) AS PROFIT
FROM dates, customer, supplier, part, lineorder
WHERE
    lo_custkey = c_custkey
  AND lo_suppkey = s_suppkey
  AND lo_partkey = p_partkey
  AND lo_orderdate = d_datekey
  AND c_region = 'AMERICA'
  AND s_region = 'AMERICA'
  AND (
            d_year = 1997
        OR d_year = 1998
    )
  AND (
            p_mfgr = 'MFGR#1'
        OR p_mfgr = 'MFGR#2'
    )
GROUP BY d_year, s_nation, p_category
ORDER BY d_year, s_nation, p_category;

--Q4.3
SELECT
    d_year,
    s_city,
    p_brand,
    SUM(lo_revenue - lo_supplycost) AS PROFIT
FROM dates, customer, supplier, part, lineorder
WHERE
    lo_custkey = c_custkey
  AND lo_suppkey = s_suppkey
  AND lo_partkey = p_partkey
  AND lo_orderdate = d_datekey
  AND s_nation = 'UNITED STATES'
  AND (
            d_year = 1997
        OR d_year = 1998
    )
  AND p_category = 'MFGR#14'
GROUP BY d_year, s_city, p_brand
ORDER BY d_year, s_city, p_brand;

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