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AnalyticDB:Uji TPC-H

更新时间:Jul 06, 2025

Benchmark TPC-H digunakan untuk mengevaluasi kemampuan analisis bisnis dari database dengan fokus pada kueri kompleks dan performa dukungan keputusan berdaya konkurensi tinggi. Topik ini menjelaskan cara melakukan uji TPC-H di AnalyticDB for MySQL.

Persiapan

Sebelum menjalankan dan menguji kueri TPC-H di AnalyticDB for MySQL, selesaikan langkah-langkah berikut:

  1. Buat kluster AnalyticDB for MySQL.

  2. Konfigurasikan Daftar putih alamat IP untuk kluster tersebut.

  3. Buat akun basis data untuk kluster tersebut.

  4. Untuk terhubung ke kluster melalui Internet, ajukan Titik akhir publik.

Buat tabel uji

Anda harus membuat delapan tabel dan satu Tampilan di AnalyticDB for MySQL untuk pengujian performa.

(Opsional) Aktifkan mesin komputasi Native dan mesin XUANWU_V2

Penting

Mesin komputasi Native sedang dalam pratinjau undangan. Hanya kluster AnalyticDB for MySQL versi V3.2.2.1 atau lebih baru yang memungkinkan Anda menjalankan pernyataan SET untuk mengaktifkan mesin komputasi Native dan mesin XUANWU_V2. Untuk kluster AnalyticDB for MySQL sebelum versi V3.2.2.1, ajukan Tiket untuk meminta pembaruan versi minor, lalu jalankan pernyataan SET untuk mengaktifkan mesin komputasi Native dan mesin XUANWU_V2.

Saat versi minor dari kluster AnalyticDB for MySQL diperbarui, kluster akan dimulai ulang dan mungkin mengalami koneksi transien. Kami sarankan Anda melakukan pembaruan selama jam-jam sepi. Pastikan aplikasi Anda dikonfigurasi untuk secara otomatis menyambung ulang ke kluster AnalyticDB for MySQL.

Jika ingin menguji performa mesin komputasi native dan mesin XUANWU dari AnalyticDB for MySQL, lewati langkah ini dan langsung buat tabel uji. Jika ingin menguji performa mesin komputasi Native dan mesin XUANWU_V2 dari AnalyticDB for MySQL, jalankan pernyataan berikut untuk mengaktifkan mesin komputasi Native dan mesin XUANWU_V2 sebelum membuat tabel uji:

SET ADB_CONFIG native_engine_opt_enabled = true;
SET ADB_CONFIG rc_ddl_engine_rewrite_xuanwuv2 = true;

Buat tabel uji

  • tabel nation

    CREATE TABLE nation (
      n_nationkey INT NOT NULL COMMENT '',
      n_name VARCHAR NOT NULL COMMENT '',
      n_regionkey INT NOT NULL COMMENT '',
      n_comment VARCHAR COMMENT '',
      dummy VARCHAR,
      PRIMARY KEY (n_nationkey)
    ) DISTRIBUTED BY BROADCAST INDEX_ALL = 'Y' compression='lz4hc';
  • tabel region

    CREATE TABLE region (
      r_regionkey INT NOT NULL COMMENT '',
      r_name VARCHAR NOT NULL COMMENT '',
      r_comment VARCHAR COMMENT '',
      dummy VARCHAR,
      PRIMARY KEY (r_regionkey)
    ) DISTRIBUTED BY BROADCAST INDEX_ALL = 'Y' compression='lz4hc';
  • tabel part

    CREATE TABLE part (
      p_partkey INT NOT NULL COMMENT '',
      p_name VARCHAR NOT NULL COMMENT '',
      p_mfgr VARCHAR NOT NULL COMMENT '',
      p_brand VARCHAR(10) NOT NULL COMMENT '',
      p_type VARCHAR NOT NULL COMMENT '',
      p_size INT NOT NULL COMMENT '',
      p_container VARCHAR(10) NOT NULL COMMENT '',
      p_retailprice DOUBLE NOT NULL COMMENT '',
      p_comment VARCHAR NOT NULL COMMENT '',
      dummy VARCHAR,
      PRIMARY KEY (p_partkey)
    ) DISTRIBUTED BY HASH (p_partkey) INDEX_ALL = 'Y' compression='lz4hc';
  • tabel supplier

    CREATE TABLE supplier (
      s_suppkey INT NOT NULL COMMENT '',
      s_name VARCHAR NOT NULL COMMENT '',
      s_address VARCHAR NOT NULL COMMENT '',
      s_nationkey INT NOT NULL COMMENT '',
      s_phone VARCHAR(15) NOT NULL COMMENT '',
      s_acctbal DOUBLE NOT NULL COMMENT '',
      s_comment VARCHAR NOT NULL COMMENT '',
      dummy VARCHAR,
      PRIMARY KEY (s_suppkey)
    ) DISTRIBUTED BY HASH (s_suppkey) INDEX_ALL = 'Y' compression='lz4hc';
  • tabel partsupp

    CREATE TABLE partsupp (
      ps_partkey INT NOT NULL COMMENT '',
      ps_suppkey INT NOT NULL COMMENT '',
      ps_availqty INT NOT NULL COMMENT '',
      ps_supplycost DOUBLE NOT NULL COMMENT '',
      ps_comment VARCHAR NOT NULL COMMENT '',
      dummy VARCHAR,
      PRIMARY KEY (ps_partkey, ps_suppkey)
    ) DISTRIBUTED BY HASH (ps_partkey) INDEX_ALL = 'Y' compression='lz4hc';
  • tabel customer

    CREATE TABLE customer (
      c_custkey INT NOT NULL COMMENT '',
      c_name VARCHAR NOT NULL COMMENT '',
      c_address VARCHAR NOT NULL COMMENT '',
      c_nationkey INT NOT NULL COMMENT '',
      c_phone VARCHAR(15) NOT NULL COMMENT '',
      c_acctbal DOUBLE NOT NULL COMMENT '',
      c_mktsegment VARCHAR(10) NOT NULL COMMENT '',
      c_comment VARCHAR NOT NULL COMMENT '',
      dummy VARCHAR,
      PRIMARY KEY (c_custkey)
    ) DISTRIBUTED BY HASH (c_custkey) INDEX_ALL = 'Y' compression='lz4hc';
  • tabel orders

    CREATE TABLE orders (
      o_orderkey BIGINT NOT NULL COMMENT '',
      o_custkey INT NOT NULL COMMENT '',
      o_orderstatus VARCHAR(1) NOT NULL COMMENT '',
      o_totalprice DOUBLE NOT NULL COMMENT '',
      o_orderdate DATE NOT NULL COMMENT '',
      o_orderpriority VARCHAR(15) NOT NULL COMMENT '',
      o_clerk VARCHAR(15) NOT NULL COMMENT '',
      o_shippriority INT NOT NULL COMMENT '',
      o_comment VARCHAR NOT NULL COMMENT '',
      dummy VARCHAR,
      KEY idx_o_custkey (o_custkey),
      KEY idx_o_orderdate (o_orderdate),
      KEY idx_o_orderkey (o_orderkey),
      KEY idx_o_orderstatus (o_orderstatus)
    ) DISTRIBUTED BY HASH (o_orderkey) PARTITION BY VALUE(date_format(o_orderdate, '%Y%m')) PARTITION NUM 1000 INDEX_ALL = 'N' compression='lz4hc';
  • tabel lineitem

    CREATE TABLE lineitem (
      l_orderkey BIGINT NOT NULL COMMENT '',
      l_partkey INT NOT NULL COMMENT '',
      l_suppkey INT NOT NULL COMMENT '',
      l_linenumber INT NOT NULL COMMENT '',
      l_quantity DOUBLE NOT NULL COMMENT '',
      l_extendedprice DOUBLE NOT NULL COMMENT '',
      l_discount DOUBLE NOT NULL COMMENT '',
      l_tax DOUBLE NOT NULL COMMENT '',
      l_returnflag VARCHAR(1) NOT NULL COMMENT '',
      l_linestatus VARCHAR(1) NOT NULL COMMENT '',
      l_shipdate DATE NOT NULL COMMENT '',
      l_commitdate DATE NOT NULL COMMENT '',
      l_receiptdate DATE NOT NULL COMMENT '',
      l_shipinstruct VARCHAR(25) NOT NULL COMMENT '',
      l_shipmode VARCHAR(10) NOT NULL COMMENT '',
      l_comment VARCHAR NOT NULL COMMENT '',
      dummy VARCHAR,
      KEY idx_l_orderkey (l_orderkey),
      KEY idx_l_partkey (l_partkey),
      KEY idx_l_receiptdate (l_receiptdate),
      KEY idx_l_returnflag (l_returnflag),
      KEY idx_l_shipdate (l_shipdate),
      KEY idx_l_shipinstruct (l_shipinstruct),
      KEY idx_l_shipmode (l_shipmode),
      KEY idx_l_suppkey (l_suppkey)
    ) DISTRIBUTED BY HASH (l_orderkey) PARTITION BY VALUE(date_format(l_shipdate, '%Y%m')) PARTITION NUM 1000 INDEX_ALL = 'N' compression='lz4hc';
  • Tampilan revenue0

    CREATE VIEW `revenue0` AS
    SELECT
      `l_suppkey` supplier_no,
      `sum`(
        (
          `l_extendedprice` * (1 - `l_discount`)
        )
      ) total_revenue
    FROM
      lineitem
    WHERE
      (
        (`l_shipdate` >= DATE '1996-01-01')
        AND (
          `l_shipdate` < (
            DATE '1996-01-01' + INTERVAL '3' MONTH
          )
        )
      )
    GROUP BY
      `l_suppkey`;

Impor data

Bangun set data uji TPC-H dan impor 1.000 GB data uji TPC-H ke AnalyticDB for MySQL.

Catatan

Uji performa TPC-H yang dijelaskan dalam topik ini diimplementasikan berdasarkan uji benchmark TPC-H tetapi tidak memenuhi semua persyaratan uji benchmark TPC-H. Oleh karena itu, hasil uji yang dijelaskan dalam topik ini tidak dapat dibandingkan dengan hasil yang dipublikasikan dari uji benchmark TPC-H.

Tabel berikut mencantumkan jumlah baris di berbagai tabel dari set data uji TPC-H.

Nama tabel

Jumlah baris

customer

0,15 miliar

lineitem

6 miliar

nation

25

orders

1,5 miliar

part

0,2 miliar

partsupp

0,8 miliar

region

5

supplier

10 juta

Gunakan tabel eksternal OSS untuk mengimpor data (direkomendasikan)

Penting

Operasi ini hanya dapat dilakukan untuk kluster Enterprise Edition, Basic Edition, dan Data Lakehouse Edition.

  1. Buat basis data eksternal.

    CREATE EXTERNAL DATABASE IF NOT EXISTS external_tpch;
  2. Buat delapan tabel eksternal.

    Catatan

    AnalyticDB for MySQL menyediakan jalur Object Storage Service (OSS) yang dapat digunakan untuk menyimpan data uji TPC-H. Ganti jalur OSS yang ditentukan oleh parameter LOCATION berdasarkan wilayah tempat kluster AnalyticDB for MySQL berada.

    Jalur OSS untuk berbagai wilayah

    Wilayah

    Jalur

    Cina (Hangzhou)

    oss://dataset-cn-hangzhou-external/TPC-H/1TB

    Cina (Zhangjiakou)

    oss://dataset-cn-zhangjiakou-external/TPC-H/1TB

    Cina (Beijing)

    oss://dataset-cn-beijing-external/TPC-H/1TB

    Cina (Shanghai)

    oss://dataset-cn-shanghai-external/TPC-H/1TB

    Cina (Shenzhen)

    oss://dataset-cn-shenzhen-external/TPC-H/1TB

    Cina (Qingdao)

    oss://dataset-cn-qingdao-external/TPC-H/1TB

    Cina (Guangzhou)

    oss://dataset-cn-guangzhou-external/TPC-H/1TB

    Cina (Hong Kong)

    oss://dataset-cn-hongkong-external/TPC-H/1TB

    Singapura

    oss://dataset-ap-southeast-1-external/TPC-H/1TB

    Malaysia (Kuala Lumpur)

    oss://dataset-ap-southeast-3-external/TPC-H/1TB

    Jepang (Tokyo)

    oss://dataset-ap-northeast-1-external/TPC-H/1TB

    Indonesia (Jakarta)

    oss://dataset-ap-southeast-5-external/TPC-H/1TB

    Jerman (Frankfurt)

    oss://dataset-eu-central-1-external/TPC-H/1TB

    AS (Silicon Valley)

    oss://dataset-us-west-1-external/TPC-H/1TB

    Inggris (London)

    oss://dataset-eu-west-1-external/TPC-H/1TB

    AS (Virginia)

    oss://dataset-us-east-1-external/TPC-H/1TB

    CREATE EXTERNAl TABLE external_tpch.nation (
    	n_nationkey int NOT NULL COMMENT '',
    	n_name varchar NOT NULL COMMENT '',
    	n_regionkey int NOT NULL COMMENT '',
    	n_comment varchar COMMENT '',
    	`dummy` varchar
    )
    ROW FORMAT DELIMITED FIELDS TERMINATED BY '|'
    STORED AS TEXTFILE
    LOCATION 'oss://dataset-cn-beijing-external/TPC-H/1TB/nation/';
    
    CREATE EXTERNAl TABLE external_tpch.customer (
    	c_custkey int NOT NULL COMMENT '',
    	c_name varchar NOT NULL COMMENT '',
    	c_address varchar NOT NULL COMMENT '',
    	c_nationkey int NOT NULL COMMENT '',
    	c_phone varchar(15) NOT NULL COMMENT '',
    	c_acctbal double NOT NULL COMMENT '',
    	c_mktsegment varchar(10) NOT NULL COMMENT '',
    	c_comment varchar NOT NULL COMMENT '',
    	`dummy` varchar
    )
    ROW FORMAT DELIMITED FIELDS TERMINATED BY '|'
    STORED AS TEXTFILE
    LOCATION 'oss://dataset-cn-beijing-external/TPC-H/1TB/customer/';
    
    CREATE EXTERNAl TABLE external_tpch.lineitem (
    	l_orderkey bigint NOT NULL COMMENT '',
    	l_partkey int NOT NULL COMMENT '',
    	l_suppkey int NOT NULL COMMENT '',
    	l_linenumber int NOT NULL COMMENT '',
    	l_quantity double NOT NULL COMMENT '',
    	l_extendedprice double NOT NULL COMMENT '',
    	l_discount double NOT NULL COMMENT '',
    	l_tax double NOT NULL COMMENT '',
    	l_returnflag varchar(1) NOT NULL COMMENT '',
    	l_linestatus varchar(1) NOT NULL COMMENT '',
    	l_shipdate date NOT NULL COMMENT '',
    	l_commitdate date NOT NULL COMMENT '',
    	l_receiptdate date NOT NULL COMMENT '',
    	l_shipinstruct varchar(25) NOT NULL COMMENT '',
    	l_shipmode varchar(10) NOT NULL COMMENT '',
    	l_comment varchar NOT NULL COMMENT '',
    	dummy varchar
    )
    ROW FORMAT DELIMITED FIELDS TERMINATED BY '|'
    STORED AS TEXTFILE
    LOCATION 'oss://dataset-cn-beijing-external/TPC-H/1TB/lineitem/';
    
    CREATE EXTERNAl TABLE external_tpch.orders (
    	o_orderkey bigint NOT NULL COMMENT '',
    	o_custkey int NOT NULL COMMENT '',
    	o_orderstatus varchar(1) NOT NULL COMMENT '',
    	o_totalprice double NOT NULL COMMENT '',
    	o_orderdate date NOT NULL COMMENT '',
    	o_orderpriority varchar(15) NOT NULL COMMENT '',
    	o_clerk varchar(15) NOT NULL COMMENT '',
    	o_shippriority int NOT NULL COMMENT '',
    	o_comment varchar NOT NULL COMMENT '',
    	dummy varchar
    )
    ROW FORMAT DELIMITED FIELDS TERMINATED BY '|'
    STORED AS TEXTFILE
    LOCATION 'oss://dataset-cn-beijing-external/TPC-H/1TB/orders/';
    
    CREATE EXTERNAl TABLE external_tpch.part (
    	p_partkey int NOT NULL COMMENT '',
    	p_name varchar NOT NULL COMMENT '',
    	p_mfgr varchar NOT NULL COMMENT '',
    	p_brand varchar(10) NOT NULL COMMENT '',
    	p_type varchar NOT NULL COMMENT '',
    	p_size int NOT NULL COMMENT '',
    	p_container varchar(10) NOT NULL COMMENT '',
    	p_retailprice double NOT NULL COMMENT '',
    	p_comment varchar NOT NULL COMMENT '',
    	dummy varchar
    )
    ROW FORMAT DELIMITED FIELDS TERMINATED BY '|'
    STORED AS TEXTFILE
    LOCATION 'oss://dataset-cn-beijing-external/TPC-H/1TB/part/';
    
    CREATE EXTERNAl TABLE external_tpch.partsupp (
    	ps_partkey int NOT NULL COMMENT '',
    	ps_suppkey int NOT NULL COMMENT '',
    	ps_availqty int NOT NULL COMMENT '',
    	ps_supplycost double NOT NULL COMMENT '',
    	ps_comment varchar NOT NULL COMMENT '',
    	dummy varchar
    )
    ROW FORMAT DELIMITED FIELDS TERMINATED BY '|'
    STORED AS TEXTFILE
    LOCATION 'oss://dataset-cn-beijing-external/TPC-H/1TB/partsupp/';
    
    
    CREATE EXTERNAl TABLE external_tpch.region (
    	r_regionkey int NOT NULL COMMENT '',
    	r_name varchar NOT NULL COMMENT '',
    	r_comment varchar COMMENT '',
    	dummy varchar
    )
    ROW FORMAT DELIMITED FIELDS TERMINATED BY '|'
    STORED AS TEXTFILE
    LOCATION 'oss://dataset-cn-beijing-external/TPC-H/1TB/region/';
    
    CREATE EXTERNAl TABLE external_tpch.supplier (
    	s_suppkey int NOT NULL COMMENT '',
    	s_name varchar NOT NULL COMMENT '',
    	s_address varchar NOT NULL COMMENT '',
    	s_nationkey int NOT NULL COMMENT '',
    	s_phone varchar(15) NOT NULL COMMENT '',
    	s_acctbal double NOT NULL COMMENT '',
    	s_comment varchar NOT NULL COMMENT '',
    	dummy varchar
    )
    ROW FORMAT DELIMITEDFIELDS TERMINATED BY '|'  
    STORED AS TEXTFILE  
    LOCATION 'oss://dataset-cn-beijing-external/TPC-H/1TB/supplier/';
  3. Impor data dari tabel eksternal ke tabel internal AnalyticDB for MySQL yang sesuai seperti yang dijelaskan dalam bagian "Buat tabel uji" dari topik ini.

    INSERT OVERWRITE INTO customer  
    SELECT *  
    FROM external_tpch.customer;  
      
    INSERT OVERWRITE INTO lineitem  
    SELECT *  
    FROM external_tpch.lineitem;  
      
    INSERT  INTO nation  
    SELECT *  
    FROM external_tpch.nation;  
      
    INSERT OVERWRITE INTO orders  
    SELECT *  
    FROM external_tpch.orders;  
      
    INSERT OVERWRITE INTO part  
    SELECT *  
    FROM external_tpch.part;  
      
    INSERT OVERWRITE INTO partsupp  
    SELECT *  
    FROM external_tpch.partsupp;  
      
    INSERT  INTO region  
    SELECT *  
    FROM external_tpch.region;  
      
    INSERT OVERWRITE INTO supplier  
    SELECT *  
    FROM external_tpch.supplier;
  4. Kumpulkan statistik.

    ANALYZE TABLE customer UPDATE HISTOGRAM;  
    ANALYZE TABLE lineitem UPDATE HISTOGRAM;  
    ANALYZE TABLE nation UPDATE HISTOGRAM;  
    ANALYZE TABLE orders UPDATE HISTOGRAM;  
    ANALYZE TABLE part UPDATE HISTOGRAM;  
    ANALYZE TABLE partsupp UPDATE HISTOGRAM;  
    ANALYZE TABLE region UPDATE HISTOGRAM;  
    ANALYZE TABLE supplier UPDATE HISTOGRAM;
    Catatan

    Query optimizer mengubah query menjadi rencana eksekusi yang dijalankan oleh mesin eksekusi. Kualitas rencana eksekusi memengaruhi performa kueri. Statistik dapat digunakan untuk membantu query optimizer menghasilkan rencana eksekusi berkualitas tinggi. Setelah mengimpor data, Anda harus mengumpulkan statistik histogram pada semua tabel untuk mendapatkan performa optimal. Untuk informasi lebih lanjut tentang statistik, lihat Statistik.

Jalankan pernyataan LOAD DATA untuk mengimpor data

  1. Unduh alat pembuatan data TPC-H DBGEN dari situs resmi TPC dan kompilasi file yang diunduh untuk menghasilkan file biner yang dapat dieksekusi bernama dbgen.

    ./dbgen -s $scale -C $chunks -S $i -f
    • -s: faktor skala (SF), yang menentukan ukuran database. Nilai 100 menentukan 100 GB. Nilai 1000 menentukan 1 TB.

    • -C: jumlah total chunk.

    • -S: nomor seri dari chunk yang dibuat oleh perintah saat ini.

      Catatan

      Satu perintah hanya dapat menghasilkan satu chunk.

    Untuk informasi lebih lanjut tentang cara menggunakan DBGEN, kunjungi GitHub.

  2. Jalankan pernyataan LOAD DATA untuk mengimpor file yang dihasilkan oleh DBGEN ke AnalyticDB for MySQL.

    Dalam contoh ini, klien MySQL Windows digunakan untuk terhubung ke AnalyticDB for MySQL untuk impor data, dan line feeds (\r\n) digunakan.

    LOAD DATA LOCAL INFILE 'customer.tbl' INTO TABLE CUSTOMER   
    FIELDS TERMINATED BY '|'  LINES TERMINATED BY '\r\n';  
    LOAD DATA LOCAL INFILE 'orders.tbl'   INTO TABLE ORDERS     
    FIELDS TERMINATED BY '|'  LINES TERMINATED BY '\r\n';  
    LOAD DATA LOCAL INFILE 'lineitem.tbl' INTO TABLE LINEITEM   
    FIELDS TERMINATED BY '|'  LINES TERMINATED BY '\r\n';  
    LOAD DATA LOCAL INFILE 'nation.tbl'   INTO TABLE NATION     
    FIELDS TERMINATED BY '|'  LINES TERMINATED BY '\r\n';  
    LOAD DATA LOCAL INFILE 'partsupp.tbl' INTO TABLE PARTSUPP   
    FIELDS TERMINATED BY '|'  LINES TERMINATED BY '\r\n';  
    LOAD DATA LOCAL INFILE 'part.tbl'     INTO TABLE PART       
    FIELDS TERMINATED BY '|'   LINES TERMINATED BY '\r\n';  
    LOAD DATA LOCAL INFILE 'region.tbl'   INTO TABLE REGION     
    FIELDS TERMINATED BY '|'  LINES TERMINATED BY '\r\n';  
    LOAD DATA LOCAL INFILE 'supplier.tbl' INTO TABLE SUPPLIER   
    FIELDS TERMINATED BY '|'  LINES TERMINATED BY '\r\n';
  3. Kumpulkan statistik.

    ANALYZE TABLE customer UPDATE HISTOGRAM;  
    ANALYZE TABLE lineitem UPDATE HISTOGRAM;  
    ANALYZE TABLE nation UPDATE HISTOGRAM;  
    ANALYZE TABLE orders UPDATE HISTOGRAM;  
    ANALYZE TABLE part UPDATE HISTOGRAM;  
    ANALYZE TABLE partsupp UPDATE HISTOGRAM;  
    ANALYZE TABLE region UPDATE HISTOGRAM;  
    ANALYZE TABLE supplier UPDATE HISTOGRAM;
    Catatan

    Query optimizer mengubah query menjadi rencana eksekusi yang dijalankan oleh mesin eksekusi. Kualitas rencana eksekusi memengaruhi performa kueri. Statistik tentang kolom data dapat digunakan untuk membantu query optimizer menghasilkan rencana eksekusi berkualitas tinggi. Setelah mengimpor data, Anda harus mengumpulkan statistik histogram pada semua tabel untuk mendapatkan performa optimal. Untuk informasi lebih lanjut tentang statistik, lihat Statistik.

Lampiran: Kueri uji TPC-H

Pengujian performa mencakup 22 kueri SQL berikut.

Catatan

Implementasi TPC-H dalam topik ini berasal dari benchmark TPC-H tetapi tidak mematuhi semua persyaratan dari benchmark TPC-H.

  • SQL1

    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 '90' DAY
    GROUP BY l_returnflag, l_linestatus
    ORDER BY l_returnflag, l_linestatus;
  • SQL2

    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 = 15  
    	AND p_type LIKE '%BRASS'  
    	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;
  • SQL3

    SELECT l_orderkey, sum(l_extendedprice * (1 - l_discount)) AS revenue  
    	, o_orderdate, o_shippriority  
    FROM customer, orders, lineitem  
    WHERE c_mktsegment = 'BUILDING'  
    	AND c_custkey = o_custkey  
    	AND l_orderkey = o_orderkey  
    	AND o_orderdate < DATE '1995-03-15'  
    	AND l_shipdate > DATE '1995-03-15'  
    GROUP BY l_orderkey, o_orderdate, o_shippriority  
    ORDER BY revenue DESC, o_orderdate  
    LIMIT 10;
  • SQL4

    SELECT o_orderpriority, count(*) AS order_count  
    FROM orders  
    WHERE o_orderdate >= DATE '1993-07-01'  
    	AND o_orderdate < DATE '1993-07-01' + 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;
  • SQL5

    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 = 'ASIA'  
    	AND o_orderdate >= DATE '1994-01-01'  
    	AND o_orderdate < DATE '1994-01-01' + INTERVAL '1' YEAR  
    GROUP BY n_name  
    ORDER BY revenue DESC;
  • SQL6

    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;
  • SQL7

    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 DATE '1995-01-01' AND DATE '1996-12-31'  
    ) shipping  
    GROUP BY supp_nation, cust_nation, l_year  
    ORDER BY supp_nation, cust_nation, l_year;
  • SQL8

    SELECT o_year  
    	, sum(CASE  
    		WHEN nation = 'PERU' 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 = 'AMERICA'  
    		AND s_nationkey = n2.n_nationkey  
    		AND o_orderdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31'  
    		AND p_type = 'PROMO BURNISHED TIN'  
    ) all_nations  
    GROUP BY o_year  
    ORDER BY o_year;
  • SQL9

    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 '%green%'  
    ) profit  
    GROUP BY nation, o_year  
    ORDER BY nation, o_year DESC;
  • SQL10

    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 '1993-09-01'  
    	AND o_orderdate < DATE '1993-09-01' + 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
  • SQL11

    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 = 'GERMANY'  
    GROUP BY ps_partkey  
    HAVING sum(ps_supplycost * ps_availqty) > (  
    	SELECT sum(ps_supplycost * ps_availqty) * 0.0000001000  
    	FROM partsupp, supplier, nation  
    	WHERE ps_suppkey = s_suppkey  
    		AND s_nationkey = n_nationkey  
    		AND n_name = 'GERMANY'  
    )  
    ORDER BY value DESC;
  • SQL12

    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 ('TRUCK', 'AIR')  
    	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;
  • SQL13

    SELECT c_count, count(*) AS custdist
    FROM (
    	SELECT c_custkey, count(o_orderkey) AS c_count
    	FROM customer
    		LEFT JOIN orders
    		ON c_custkey = o_custkey
    			AND o_comment NOT LIKE '%special%requests%'
    	GROUP BY c_custkey
    ) AS c_orders (c_custkey, c_count)
    GROUP BY c_count
    ORDER BY custdist DESC, c_count DESC;
  • SQL14

    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 '1995-09-01'  
    	AND l_shipdate < DATE '1995-09-01' + INTERVAL '1' MONTH;
  • SQL15

    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;
  • SQL16

    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#45'  
    	AND p_type NOT LIKE 'MEDIUM POLISHED%'  
    	AND p_size IN (49, 14, 23, 45, 19, 3, 36, 9)  
    	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;
  • SQL17

    SELECT sum(l_extendedprice) / 7.0 AS avg_yearly  
    FROM lineitem, part  
    WHERE p_partkey = l_partkey  
    	AND p_brand = 'Brand#23'  
    	AND p_container = 'SM CAN'  
    	AND l_quantity < (  
    		SELECT 0.2 * avg(l_quantity)  
    		FROM lineitem  
    		WHERE l_partkey = p_partkey  
    	);
  • SQL18

    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) > 300  
    	)  
    	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;
  • SQL19

    SELECT sum(l_extendedprice * (1 - l_discount)) AS revenue  
    FROM lineitem, part  
    WHERE (p_partkey = l_partkey  
    		AND p_brand = 'Brand#12'  
    		AND p_container IN ('SM CASE', 'SM BOX', 'SM PACK', 'SM PKG')  
    		AND l_quantity >= 1  
    		AND l_quantity <= 1 + 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#42'  
    		AND p_container IN ('MED BAG', 'MED BOX', 'MED PKG', 'MED PACK')  
    		AND l_quantity >= 10  
    		AND l_quantity <= 10 + 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#45'  
    		AND p_container IN ('LG CASE', 'LG BOX', 'LG PACK', 'LG PKG')  
    		AND l_quantity >= 20  
    		AND l_quantity <= 20 + 10  
    		AND p_size BETWEEN 1 AND 15  
    		AND l_shipmode IN ('AIR', 'AIR REG')  
    		AND l_shipinstruct = 'DELIVER IN PERSON');
  • SQL20

    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 'forest%'  
    			)  
    			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 '1994-01-01'  
    					AND l_shipdate < DATE '1994-01-01' + INTERVAL '1' YEAR  
    			)  
    	)  
    	AND s_nationkey = n_nationkey  
    	AND n_name = 'CANADA'  
    ORDER BY s_name;
  • SQL21

    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 = 'SAUDI ARABIA'  
    GROUP BY s_name  
    ORDER BY numwait DESC, s_name  
    LIMIT 100;
  • SQL22

    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  
    		)  
    ) custsale  
    GROUP BY cntrycode  
    ORDER BY cntrycode;