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AnalyticDB:Pengujian TPC-H

更新时间:Feb 26, 2026

TPC-H adalah benchmark yang mengevaluasi kemampuan analisis bisnis suatu database. Benchmark ini berfokus pada kueri kompleks dan dukungan pengambilan keputusan berkonkurensi tinggi. Topik ini menjelaskan cara menjalankan pengujian TPC-H di AnalyticDB for MySQL.

Persiapan

Sebelum menjalankan set pengujian benchmark TPC-H di lingkungan AnalyticDB for MySQL di Alibaba Cloud, selesaikan persiapan berikut.

  1. Buat kluster.

  2. Konfigurasikan daftar putih untuk kluster tersebut.

  3. Buat akun database di dalam kluster.

  4. Untuk menghubungkan ke kluster melalui Internet, ajukan titik akhir publik.

Buat tabel pengujian

Buat delapan tabel data dan satu view di AnalyticDB for MySQL untuk pengujian performa.

Aktifkan mesin komputasi Native dan XUANWU_V2 (Opsional)

Penting
  • Mesin komputasi Native hanya tersedia dalam pratinjau undangan. Hanya kluster yang menjalankan versi 3.2.2.1 atau lebih baru yang mendukung pengaktifan mesin komputasi Native dan XUANWU_V2 menggunakan perintah SET. Jika kluster Anda menjalankan versi sebelumnya, kirim tiket untuk menghubungi dukungan teknis dan meminta upgrade kernel. Setelah upgrade, Anda dapat menjalankan perintah SET untuk mengaktifkan mesin tersebut.

  • Upgrade kernel akan me-restart kluster, menyebabkan pemutusan koneksi sementara. Lakukan operasi ini selama jam sepi dan pastikan aplikasi Anda menerapkan mekanisme penyambungan ulang.

Untuk menguji hanya performa mesin komputasi native dan XUANWU dari AnalyticDB for MySQL, lewati langkah ini dan lanjutkan ke membuat tabel pengujian. Untuk menguji performa mesin komputasi Native dan XUANWU_V2, aktifkan terlebih dahulu sebelum membuat tabel pengujian dengan menjalankan perintah berikut:

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

Buat tabel pengujian

  • Buat database pengujian. Jika Anda telah membuatnya, lewati langkah ini.

    CREATE DATABASE IF NOT EXISTS tpch; 
  • 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),
      clustered key clustered_index(`l_orderkey` ASC)
    ) DISTRIBUTED BY HASH  (l_orderkey) PARTITION BY VALUE(date_format(l_shipdate, '%Y%m')) PARTITION NUM 1000 INDEX_ALL='N'COMPRESSION='lz4hc';
  • View 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

Hasilkan data uji TPC-H dan impor set data uji 1000 GB ke AnalyticDB for MySQL.

Catatan

Implementasi TPC-H dalam topik ini didasarkan pada benchmark TPC-H. Namun, pengujian dalam topik ini tidak memenuhi semua persyaratan benchmark TPC-H, sehingga hasilnya tidak dapat dibandingkan dengan hasil benchmark TPC-H yang dipublikasikan.

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

Nama tabel

Jumlah baris

customer

150 juta

lineitem

6 miliar

nation

25

orders

1,5 miliar

part

200 juta

partsupp

800 juta

region

5

supplier

10 juta

Impor data dari tabel eksternal OSS (Direkomendasikan)

Penting

Prosedur berikut hanya berlaku untuk kluster Edisi Perusahaan, Edisi Dasar, dan Edisi Data Lakehouse.

  1. Buat database eksternal.

    CREATE EXTERNAL DATABASE IF NOT EXISTS external_tpch;
  2. Anda dapat membuat delapan tabel eksternal.

    Catatan

    AnalyticDB for MySQL menyediakan path OSS tempat data uji TPC-H disimpan. Ganti path OSS pada parameter LOCATION sesuai dengan wilayah kluster Anda.

    Path OSS untuk wilayah berbeda

    Wilayah

    Path

    China (Hangzhou)

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

    China (Zhangjiakou)

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

    China (Beijing)

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

    China (Shanghai)

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

    China (Shenzhen)

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

    China (Qingdao)

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

    China (Guangzhou)

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

    China (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 DELIMITED FIELDS TERMINATED BY '|'
    STORED AS TEXTFILE
    LOCATION 'oss://dataset-cn-beijing-external/TPC-H/1TB/supplier/';
  3. Impor data dari tabel eksternal ke tabel internal yang telah Anda buat di bagian Buat tabel pengujian.

    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

    Pengoptimal kueri mengubah kueri menjadi rencana eksekusi untuk mesin eksekusi. Kualitas rencana ini memengaruhi performa kueri. Statistik berfungsi sebagai masukan bagi pengoptimal kueri untuk membantu menghasilkan rencana eksekusi berkualitas tinggi. Untuk performa optimal, kumpulkan informasi histogram untuk semua tabel setelah Anda mengimpor data. Untuk informasi selengkapnya, lihat Statistik.

Impor data menggunakan LOAD DATA

  1. Unduh tool pembangkit data standar TPC-H DBGEN dari website TPC, kompilasi, dan hasilkan file yang dapat dieksekusi dbgen.

    ./dbgen -s $scale -C $chunks -S $i -f
    • -s: Menentukan faktor skala. Misalnya, gunakan 100 untuk data 100 GB atau 1000 untuk data 1 TB.

    • -C: Menentukan jumlah total chunk.

    • -S: Menentukan indeks chunk yang akan dihasilkan dengan perintah saat ini.

      Catatan

      Satu pernyataan hanya menghasilkan satu chunk.

    Untuk informasi selengkapnya tentang cara menggunakan dbgen, lihat tpch-dbgen.

  2. Gunakan LOAD DATA untuk mengimpor file yang dihasilkan oleh dbgen ke AnalyticDB for MySQL.

    Contoh ini menggunakan sistem operasi Windows. Line feed-nya adalah \r\n.

    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

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

Lampiran: Set pengujian TPC-H

22 kueri SQL berikut dijalankan selama pengujian performa.

Catatan

Implementasi TPC-H dalam topik ini didasarkan pada benchmark TPC-H. Namun, pengujian dalam topik ini tidak memenuhi semua persyaratan 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;