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Realtime Compute for Apache Flink:Makalah putih performa (uji performa Nexmark)

更新时间:Jan 22, 2026

Topik ini menjelaskan penggunaan Nexmark untuk menguji kinerja Realtime Compute for Apache Flink.

Kinerja

Dengan konfigurasi sumber daya komputasi sebesar 1 compute unit (CU) di Realtime Compute for Apache Flink, performa 19 kueri Nexmark berkisar antara 5.000 hingga 55.000 catatan per detik (RPS).

  • Untuk operasi sederhana, seperti penyaringan aliran tunggal dan transformasi string, 1 CU dapat memproses 40.000 hingga 55.000 catatan per detik.

  • Untuk operasi kompleks, seperti JOIN, GROUP BY, atau fungsi window, 1 CU dapat memproses 5.000 hingga 10.000 catatan per detik.

Prasyarat

  • Java Development Kit (JDK) 1.8.x atau versi yang lebih baru telah diinstal.

  • Maven versi 3.8.2 telah terpasang.

  • Git telah diinstal. Untuk mengunduh Git, lihat Git.

  • Nexmark telah terpasang. Untuk informasi lebih lanjut tentang Nexmark, lihat Nexmark.

  • Ruang kerja telah dibuat. Untuk informasi selengkapnya, lihat Aktifkan Realtime Compute for Apache Flink.

    Catatan

    Nexmark dan Git adalah situs web pihak ketiga. Anda mungkin mengalami penundaan akses atau kegagalan.

Alat uji

测试图片

  • Tabel sumber Nexmark: Menghasilkan data uji berdasarkan transaksi per detik (TPS) yang diperlukan untuk pengujian.

  • Transformasi: 19 kueri Nexmark.

  • Tabel sink Blackhole: Menghilangkan dampak performa dari penyimpanan hulu dan hilir agar fokus pada pengujian performa Flink.

Persiapan data

  1. Jalankan perintah berikut di command-line interface (CLI) untuk mengunduh dan mengompilasi kode sumber Nexmark.

    cd <path>
    git clone https://github.com/nexmark/nexmark.git
    cd nexmark/nexmark-flink
    mvn clean package
    Catatan

    <path> menentukan jalur kustom tempat file nexmark.git disimpan.

  2. Buat konektor Nexmark.

    1. Masuk ke Konsol Realtime Compute for Apache Flink.

    2. Pada kolom Actions ruang kerja target, klik Console.

    3. Di sisi kanan halaman Connectors, klik Create Custom Connector.

    4. Pada kotak dialog yang muncul, klik Select File. Gambar berikut menunjukkan contohnya.Upload a job

      Catatan

      Paket berada di direktori `/nexmark/nexmark-flink/target`. File nexmark-flink-0.2-SNAPSHOT.jar adalah paket yang telah dikompilasi.

    5. Klik Next, lalu klik Finish.

Tabel berikut menjelaskan parameter konektor Nexmark.

Parameter

Nilai Parameter

Deskripsi

first-event.rate

10000000

Laju pembuatan data.

next-event.rate

events.num

100000000

Jumlah event yang akan dihasilkan.

bid.proportion

92%

Persentase acara Bid.

auction.proportion

6%

Persentase acara Auction.

person.proportion

2%

Persentase acara Person.

Prosedur pengujian

  1. Buat Pekerjaan kueri berikut. Untuk informasi selengkapnya tentang cara membuat pekerjaan, lihat Peta pengembangan Pekerjaan.

q0

CREATE TEMPORARY TABLE nexmark_table (  
    event_type INT,
    person ROW < id BIGINT, name VARCHAR, emailAddress VARCHAR, creditCard VARCHAR, city VARCHAR, state VARCHAR, dateTime TIMESTAMP(3), extra VARCHAR >,
    auction ROW < id BIGINT, itemName VARCHAR, description VARCHAR, initialBid BIGINT, reserve BIGINT, dateTime TIMESTAMP(3), expires TIMESTAMP(3), seller BIGINT, category BIGINT, extra VARCHAR >,
    bid ROW < auction BIGINT, bidder BIGINT, price BIGINT, channel VARCHAR, url VARCHAR, dateTime TIMESTAMP(3), extra VARCHAR >,
    dateTime AS CASE 
        WHEN event_type = 0 
        THEN person.dateTime 
        WHEN event_type = 1 
        THEN auction.dateTime 
        ELSE bid.dateTime 
    END,
    WATERMARK FOR dateTime AS dateTime - INTERVAL '4' SECOND
) 
WITH (
    'connector' = 'nexmark',
    'first-event.rate' = '10000000',
    'next-event.rate' = '10000000',
    'events.num' = '100000000',
    'person.proportion' = '2',
    'auction.proportion' = '6',
    'bid.proportion' = '92'
);

CREATE TEMPORARY TABLE discard_sink (
    auction BIGINT,
    bidder BIGINT,
    price BIGINT,
    channel VARCHAR,
    url VARCHAR,
    dateTime TIMESTAMP(3),
    extra VARCHAR
) 
WITH ('connector' = 'blackhole');

CREATE TEMPORARY VIEW bid AS
    SELECT 
        bid.auction,
        bid.bidder,
        bid.price,
        bid.channel,
        bid.url,
        dateTime,
        bid.extra 
    FROM
        `vvp`.`default`.nexmark_table 
    WHERE
        event_type = 2;

INSERT INTO discard_sink
    SELECT 
        auction, bidder, price, channel, url, dateTime, extra 
    FROM
        bid;

q1

CREATE TEMPORARY TABLE nexmark_table (  
    event_type INT,
    person ROW < id BIGINT, name VARCHAR, emailAddress VARCHAR, creditCard VARCHAR, city VARCHAR, state VARCHAR, dateTime TIMESTAMP(3), extra VARCHAR >,
    auction ROW < id BIGINT, itemName VARCHAR, description VARCHAR, initialBid BIGINT, reserve BIGINT, dateTime TIMESTAMP(3), expires TIMESTAMP(3), seller BIGINT, category BIGINT, extra VARCHAR >,
    bid ROW < auction BIGINT, bidder BIGINT, price BIGINT, channel VARCHAR, url VARCHAR, dateTime TIMESTAMP(3), extra VARCHAR >,
    dateTime AS CASE 
        WHEN event_type = 0 
        THEN person.dateTime 
        WHEN event_type = 1 
        THEN auction.dateTime 
        ELSE bid.dateTime 
    END,
    WATERMARK FOR dateTime AS dateTime - INTERVAL '4' SECOND
) 
WITH (
    'connector' = 'nexmark',
    'first-event.rate' = '10000000',
    'next-event.rate' = '10000000',
    'events.num' = '100000000',
    'person.proportion' = '2',
    'auction.proportion' = '6',
    'bid.proportion' = '92'
);

CREATE TEMPORARY TABLE discard_sink (
    auction BIGINT,
    bidder BIGINT,
    price DECIMAL(23, 3),
    channel VARCHAR,
    url VARCHAR,
    dateTime TIMESTAMP(3),
    extra VARCHAR
) 
WITH ('connector' = 'blackhole');

CREATE TEMPORARY VIEW bid AS
    SELECT 
        bid.auction,
        bid.bidder,
        bid.price,
        bid.channel,
        bid.url,
        dateTime,
        bid.extra 
    FROM
        `vvp`.`default`.nexmark_table 
    WHERE
        event_type = 2;

INSERT INTO discard_sink
    SELECT 
        auction,
        bidder,
        0.908 * price as price, -- convert dollar to euro
        channel,
        url,
        dateTime,
        extra 
    FROM
        bid;

q2

CREATE TEMPORARY TABLE nexmark_table (   
    event_type INT,
    person ROW < id BIGINT, name VARCHAR, emailAddress VARCHAR, creditCard VARCHAR, city VARCHAR, state VARCHAR, dateTime TIMESTAMP(3), extra VARCHAR >,
    auction ROW < id BIGINT, itemName VARCHAR, description VARCHAR, initialBid BIGINT, reserve BIGINT, dateTime TIMESTAMP(3), expires TIMESTAMP(3), seller BIGINT, category BIGINT, extra VARCHAR >,
    bid ROW < auction BIGINT, bidder BIGINT, price BIGINT, channel VARCHAR, url VARCHAR, dateTime TIMESTAMP(3), extra VARCHAR >,
    dateTime AS CASE 
        WHEN event_type = 0 
        THEN person.dateTime 
        WHEN event_type = 1 
        THEN auction.dateTime 
        ELSE bid.dateTime 
    END,
    WATERMARK FOR dateTime AS dateTime - INTERVAL '4' SECOND
) 
WITH (
    'connector' = 'nexmark',
    'first-event.rate' = '10000000',
    'next-event.rate' = '10000000',
    'events.num' = '100000000',
    'person.proportion' = '2',
    'auction.proportion' = '6',
    'bid.proportion' = '92'
);

CREATE TEMPORARY TABLE discard_sink (
    auction BIGINT,
    bidder BIGINT,
    price BIGINT,
    channel VARCHAR,
    url VARCHAR,
    dateTime TIMESTAMP(3),
    extra VARCHAR
) 
WITH ('connector' = 'blackhole');

CREATE TEMPORARY VIEW bid AS
    SELECT 
        bid.auction,
        bid.bidder,
        bid.price,
        bid.channel,
        bid.url,
        dateTime,
        bid.extra 
    FROM
        `vvp`.`default`.nexmark_table 
    WHERE
        event_type = 2;

INSERT INTO discard_sink
    SELECT 
        auction, bidder, price, channel, url, dateTime, extra 
    FROM
        bid 
    WHERE
        MOD(auction, 123) = 0;

q3

CREATE TEMPORARY TABLE nexmark_table (  
    event_type INT,
    person ROW < id BIGINT, name VARCHAR, emailAddress VARCHAR, creditCard VARCHAR, city VARCHAR, state VARCHAR, dateTime TIMESTAMP(3), extra VARCHAR >,
    auction ROW < id BIGINT, itemName VARCHAR, description VARCHAR, initialBid BIGINT, reserve BIGINT, dateTime TIMESTAMP(3), expires TIMESTAMP(3), seller BIGINT, category BIGINT, extra VARCHAR >,
    bid ROW < auction BIGINT, bidder BIGINT, price BIGINT, channel VARCHAR, url VARCHAR, dateTime TIMESTAMP(3), extra VARCHAR >,
    dateTime AS CASE 
        WHEN event_type = 0 
        THEN person.dateTime 
        WHEN event_type = 1 
        THEN auction.dateTime 
        ELSE bid.dateTime 
    END,
    WATERMARK FOR dateTime AS dateTime - INTERVAL '4' SECOND
) 
WITH (
    'connector' = 'nexmark',
    'first-event.rate' = '10000000',
    'next-event.rate' = '10000000',
    'events.num' = '100000000',
    'person.proportion' = '2',
    'auction.proportion' = '6',
    'bid.proportion' = '92'
);

CREATE TEMPORARY TABLE discard_sink (name VARCHAR, city VARCHAR, state VARCHAR, id BIGINT) 
WITH ('connector' = 'blackhole');

CREATE TEMPORARY VIEW person AS
    SELECT 
        person.id,
        person.name,
        person.emailAddress,
        person.creditCard,
        person.city,
        person.state,
        dateTime,
        person.extra 
    FROM
        `vvp`.`default`.nexmark_table 
    WHERE
        event_type = 0;

CREATE TEMPORARY VIEW auction AS
    SELECT 
        auction.id,
        auction.itemName,
        auction.description,
        auction.initialBid,
        auction.reserve,
        dateTime,
        auction.expires,
        auction.seller,
        auction.category,
        auction.extra 
    FROM
        nexmark_table 
    WHERE
        event_type = 1;

INSERT INTO discard_sink
    SELECT 
        P.name, P.city, P.state, A.id 
    FROM
        auction AS A 
        INNER JOIN person AS P
            on A.seller = P.id 
    WHERE
        A.category = 10 
            and(P.state = 'OR' 
            OR P.state = 'ID' 
            OR P.state = 'CA');

q4

CREATE TEMPORARY TABLE nexmark_table (  
    event_type INT,
    person ROW < id BIGINT, name VARCHAR, emailAddress VARCHAR, creditCard VARCHAR, city VARCHAR, state VARCHAR, dateTime TIMESTAMP(3), extra VARCHAR >,
    auction ROW < id BIGINT, itemName VARCHAR, description VARCHAR, initialBid BIGINT, reserve BIGINT, dateTime TIMESTAMP(3), expires TIMESTAMP(3), seller BIGINT, category BIGINT, extra VARCHAR >,
    bid ROW < auction BIGINT, bidder BIGINT, price BIGINT, channel VARCHAR, url VARCHAR, dateTime TIMESTAMP(3), extra VARCHAR >,
    dateTime AS CASE 
        WHEN event_type = 0 
        THEN person.dateTime 
        WHEN event_type = 1 
        THEN auction.dateTime 
        ELSE bid.dateTime 
    END,
    WATERMARK FOR dateTime AS dateTime - INTERVAL '4' SECOND
) 
WITH (
    'connector' = 'nexmark',
    'first-event.rate' = '10000000',
    'next-event.rate' = '10000000',
    'events.num' = '100000000',
    'person.proportion' = '2',
    'auction.proportion' = '6',
    'bid.proportion' = '92'
);

CREATE TEMPORARY TABLE discard_sink (id BIGINT, final BIGINT) 
WITH ('connector' = 'blackhole');

CREATE TEMPORARY VIEW auction AS
    SELECT 
        auction.id,
        auction.itemName,
        auction.description,
        auction.initialBid,
        auction.reserve,
        dateTime,
        auction.expires,
        auction.seller,
        auction.category,
        auction.extra 
    FROM
        nexmark_table 
    WHERE
        event_type = 1;

CREATE TEMPORARY VIEW bid AS
    SELECT 
        bid.auction,
        bid.bidder,
        bid.price,
        bid.channel,
        bid.url,
        dateTime,
        bid.extra 
    FROM
        `vvp`.`default`.nexmark_table 
    WHERE
        event_type = 2;

INSERT INTO discard_sink
    SELECT 
        Q.category, AVG(Q.final) 
    FROM
        (
            SELECT 
                MAX(B.price) AS final, A.category 
            FROM
                auction A, bid B 
            WHERE
                A.id = B.auction 
                    AND B.dateTime BETWEEN A.dateTime AND A.expires 
            GROUP BY
                A.id, A.category
        ) Q 
    GROUP BY
        Q.category;

q5

CREATE TEMPORARY TABLE nexmark_table (   
    event_type INT,
    person ROW < id BIGINT, name VARCHAR, emailAddress VARCHAR, creditCard VARCHAR, city VARCHAR, state VARCHAR, dateTime TIMESTAMP(3), extra VARCHAR >,
    auction ROW < id BIGINT, itemName VARCHAR, description VARCHAR, initialBid BIGINT, reserve BIGINT, dateTime TIMESTAMP(3), expires TIMESTAMP(3), seller BIGINT, category BIGINT, extra VARCHAR >,
    bid ROW < auction BIGINT, bidder BIGINT, price BIGINT, channel VARCHAR, url VARCHAR, dateTime TIMESTAMP(3), extra VARCHAR >,
    dateTime AS CASE 
        WHEN event_type = 0 
        THEN person.dateTime 
        WHEN event_type = 1 
        THEN auction.dateTime 
        ELSE bid.dateTime 
    END,
    WATERMARK FOR dateTime AS dateTime - INTERVAL '4' SECOND
) 
WITH (
    'connector' = 'nexmark',
    'first-event.rate' = '10000000',
    'next-event.rate' = '10000000',
    'events.num' = '100000000',
    'person.proportion' = '2',
    'auction.proportion' = '6',
    'bid.proportion' = '92'
);

CREATE TEMPORARY TABLE discard_sink (auction BIGINT, num BIGINT) 
WITH ('connector' = 'blackhole');

CREATE TEMPORARY VIEW bid AS
    SELECT 
        bid.auction,
        bid.bidder,
        bid.price,
        bid.channel,
        bid.url,
        dateTime,
        bid.extra 
    FROM
        `vvp`.`default`.nexmark_table 
    WHERE
        event_type = 2;

INSERT INTO discard_sink
    SELECT 
        AuctionBids.auction, AuctionBids.num 
    FROM
        (
            SELECT 
                B1.auction,
                count(*) AS num,
                HOP_START(B1.dateTime, INTERVAL '2' SECOND, INTERVAL '10' SECOND) AS starttime,
                HOP_END(B1.dateTime, INTERVAL '2' SECOND, INTERVAL '10' SECOND) AS endtime 
            FROM
                bid B1 
            GROUP BY
                B1.auction,
                HOP(B1.dateTime, INTERVAL '2' SECOND, INTERVAL '10' SECOND)
        ) AS AuctionBids 
        JOIN (
            SELECT 
                max(CountBids.num) AS maxn,
                CountBids.starttime,
                CountBids.endtime 
            FROM
                (
                    SELECT 
                        count(*) AS num,
                        HOP_START(B2.dateTime, INTERVAL '2' SECOND, INTERVAL '10' SECOND) AS starttime,
                        HOP_END(B2.dateTime, INTERVAL '2' SECOND, INTERVAL '10' SECOND) AS endtime 
                    FROM
                        bid B2 
                    GROUP BY
                        B2.auction,
                        HOP(B2.dateTime, INTERVAL '2' SECOND, INTERVAL '10' SECOND)
                ) AS CountBids 
            GROUP BY
                CountBids.starttime, CountBids.endtime
        ) AS MaxBids
            ON AuctionBids.starttime = MaxBids.starttime 
                AND AuctionBids.endtime = MaxBids.endtime 
                AND AuctionBids.num >= MaxBids.maxn;

q7

CREATE TEMPORARY TABLE nexmark_table (  
    event_type INT,
    person ROW < id BIGINT, name VARCHAR, emailAddress VARCHAR, creditCard VARCHAR, city VARCHAR, state VARCHAR, dateTime TIMESTAMP(3), extra VARCHAR >,
    auction ROW < id BIGINT, itemName VARCHAR, description VARCHAR, initialBid BIGINT, reserve BIGINT, dateTime TIMESTAMP(3), expires TIMESTAMP(3), seller BIGINT, category BIGINT, extra VARCHAR >,
    bid ROW < auction BIGINT, bidder BIGINT, price BIGINT, channel VARCHAR, url VARCHAR, dateTime TIMESTAMP(3), extra VARCHAR >,
    dateTime AS CASE 
        WHEN event_type = 0 
        THEN person.dateTime 
        WHEN event_type = 1 
        THEN auction.dateTime 
        ELSE bid.dateTime 
    END,
    WATERMARK FOR dateTime AS dateTime - INTERVAL '4' SECOND
) 
WITH (
    'connector' = 'nexmark',
    'first-event.rate' = '10000000',
    'next-event.rate' = '10000000',
    'events.num' = '100000000',
    'person.proportion' = '2',
    'auction.proportion' = '6',
    'bid.proportion' = '92'
);

CREATE TEMPORARY TABLE discard_sink (
    auction BIGINT,
    bidder BIGINT,
    price BIGINT,
    dateTime TIMESTAMP(3),
    extra VARCHAR
) 
WITH ('connector' = 'blackhole');

CREATE TEMPORARY VIEW bid AS
    SELECT 
        bid.auction,
        bid.bidder,
        bid.price,
        bid.channel,
        bid.url,
        dateTime,
        bid.extra 
    FROM
        `vvp`.`default`.nexmark_table 
    WHERE
        event_type = 2;

INSERT INTO discard_sink
    SELECT 
        B.auction, B.price, B.bidder, B.dateTime, B.extra 
    from
        bid B 
        JOIN (
            SELECT 
                MAX(B1.price) AS maxprice,
                TUMBLE_ROWTIME(B1.dateTime, INTERVAL '10' SECOND) as dateTime 
            FROM
                bid B1 
            GROUP BY
                TUMBLE(B1.dateTime, INTERVAL '10' SECOND)
        ) B1
            ON B.price = B1.maxprice 
    WHERE
        B.dateTime BETWEEN B1.dateTime - INTERVAL '10' SECOND AND B1.dateTime;

q8

CREATE TEMPORARY TABLE nexmark_table (   
    event_type INT,
    person ROW < id BIGINT, name VARCHAR, emailAddress VARCHAR, creditCard VARCHAR, city VARCHAR, state VARCHAR, dateTime TIMESTAMP(3), extra VARCHAR >,
    auction ROW < id BIGINT, itemName VARCHAR, description VARCHAR, initialBid BIGINT, reserve BIGINT, dateTime TIMESTAMP(3), expires TIMESTAMP(3), seller BIGINT, category BIGINT, extra VARCHAR >,
    bid ROW < auction BIGINT, bidder BIGINT, price BIGINT, channel VARCHAR, url VARCHAR, dateTime TIMESTAMP(3), extra VARCHAR >,
    dateTime AS CASE 
        WHEN event_type = 0 
        THEN person.dateTime 
        WHEN event_type = 1 
        THEN auction.dateTime 
        ELSE bid.dateTime 
    END,
    WATERMARK FOR dateTime AS dateTime - INTERVAL '4' SECOND
) 
WITH (
    'connector' = 'nexmark',
    'first-event.rate' = '10000000',
    'next-event.rate' = '10000000',
    'events.num' = '100000000',
    'person.proportion' = '2',
    'auction.proportion' = '6',
    'bid.proportion' = '92'
);

CREATE TEMPORARY TABLE discard_sink (id BIGINT, name VARCHAR, stime TIMESTAMP(3)) 
WITH ('connector' = 'blackhole');

CREATE TEMPORARY VIEW person AS
    SELECT 
        person.id,
        person.name,
        person.emailAddress,
        person.creditCard,
        person.city,
        person.state,
        dateTime,
        person.extra 
    FROM
        `vvp`.`default`.nexmark_table 
    WHERE
        event_type = 0;

CREATE TEMPORARY VIEW auction AS
    SELECT 
        auction.id,
        auction.itemName,
        auction.description,
        auction.initialBid,
        auction.reserve,
        dateTime,
        auction.expires,
        auction.seller,
        auction.category,
        auction.extra 
    FROM
        `vvp`.`default`.nexmark_table 
    WHERE
        event_type = 1;

INSERT INTO discard_sink
    SELECT 
        P.id, P.name, P.starttime 
    FROM
        (
            SELECT 
                P.id,
                P.name,
                TUMBLE_START(P.dateTime, INTERVAL '10' SECOND) AS starttime,
                TUMBLE_END(P.dateTime, INTERVAL '10' SECOND) AS endtime 
            FROM
                person P 
            GROUP BY
                P.id,
                P.name,
                TUMBLE(P.dateTime, INTERVAL '10' SECOND)
        ) P 
        JOIN (
            SELECT 
                A.seller,
                TUMBLE_START(A.dateTime, INTERVAL '10' SECOND) AS starttime,
                TUMBLE_END(A.dateTime, INTERVAL '10' SECOND) AS endtime 
            FROM
                auction A 
            GROUP BY
                A.seller,
                TUMBLE(A.dateTime, INTERVAL '10' SECOND)
        ) A
            ON P.id = A.seller 
                AND P.starttime = A.starttime 
                AND P.endtime = A.endtime;

q9

CREATE TEMPORARY TABLE nexmark_table (
    event_type INT,
    person ROW < id BIGINT, name VARCHAR, emailAddress VARCHAR, creditCard VARCHAR, city VARCHAR, state VARCHAR, dateTime TIMESTAMP(3), extra VARCHAR >,
    auction ROW < id BIGINT, itemName VARCHAR, description VARCHAR, initialBid BIGINT, reserve BIGINT, dateTime TIMESTAMP(3), expires TIMESTAMP(3), seller BIGINT, category BIGINT, extra VARCHAR >,
    bid ROW < auction BIGINT, bidder BIGINT, price BIGINT, channel VARCHAR, url VARCHAR, dateTime TIMESTAMP(3), extra VARCHAR >,
    dateTime AS CASE 
        WHEN event_type = 0 
        THEN person.dateTime 
        WHEN event_type = 1 
        THEN auction.dateTime 
        ELSE bid.dateTime 
    END,
    WATERMARK FOR dateTime AS dateTime - INTERVAL '4' SECOND
) 
WITH (
    'connector' = 'nexmark',
    'first-event.rate' = '10000000',
    'next-event.rate' = '10000000',
    'events.num' = '100000000',
    'person.proportion' = '2',
    'auction.proportion' = '6',
    'bid.proportion' = '92'
);

CREATE TEMPORARY TABLE discard_sink (
    id BIGINT,
    itemName VARCHAR,
    description VARCHAR,
    initialBid BIGINT,
    reserve BIGINT,
    dateTime TIMESTAMP(3),
    expires TIMESTAMP(3),
    seller BIGINT,
    category BIGINT,
    extra VARCHAR,
    auction BIGINT,
    bidder BIGINT,
    price BIGINT,
    bid_dateTime TIMESTAMP(3),
    bid_extra VARCHAR
) 
WITH ('connector' = 'blackhole');

CREATE TEMPORARY VIEW auction AS
    SELECT 
        auction.id,
        auction.itemName,
        auction.description,
        auction.initialBid,
        auction.reserve,
        dateTime,
        auction.expires,
        auction.seller,
        auction.category,
        auction.extra 
    FROM
        `vvp`.`default`.nexmark_table 
    WHERE
        event_type = 1;

CREATE TEMPORARY VIEW bid AS
    SELECT 
        bid.auction,
        bid.bidder,
        bid.price,
        bid.channel,
        bid.url,
        dateTime,
        bid.extra 
    FROM
        `vvp`.`default`.nexmark_table 
    WHERE
        event_type = 2;

INSERT INTO discard_sink
    SELECT 
        id,
        itemName,
        description,
        initialBid,
        reserve,
        dateTime,
        expires,
        seller,
        category,
        extra,
        auction,
        bidder,
        price,
        bid_dateTime,
        bid_extra 
    FROM
        (
            SELECT 
                A.*,
                B.auction,
                B.bidder,
                B.price,
                B.dateTime AS bid_dateTime,
                B.extra AS bid_extra,
                ROW_NUMBER() 
                    OVER (
                        PARTITION BY
                            A.id
                        ORDER BY
                            B.price DESC, B.dateTime ASC
                    ) AS rownum 
            FROM
                auction A, bid B 
            WHERE
                A.id = B.auction 
                    AND B.dateTime BETWEEN A.dateTime AND A.expires
        ) 
    WHERE
        rownum <= 1;

q11

CREATE TEMPORARY TABLE nexmark_table (
    event_type INT,
    person ROW < id BIGINT, name VARCHAR, emailAddress VARCHAR, creditCard VARCHAR, city VARCHAR, state VARCHAR, dateTime TIMESTAMP(3), extra VARCHAR >,
    auction ROW < id BIGINT, itemName VARCHAR, description VARCHAR, initialBid BIGINT, reserve BIGINT, dateTime TIMESTAMP(3), expires TIMESTAMP(3), seller BIGINT, category BIGINT, extra VARCHAR >,
    bid ROW < auction BIGINT, bidder BIGINT, price BIGINT, channel VARCHAR, url VARCHAR, dateTime TIMESTAMP(3), extra VARCHAR >,
    dateTime AS CASE 
        WHEN event_type = 0 
        THEN person.dateTime 
        WHEN event_type = 1 
        THEN auction.dateTime 
        ELSE bid.dateTime 
    END,
    WATERMARK FOR dateTime AS dateTime - INTERVAL '4' SECOND
) 
WITH (
    'connector' = 'nexmark',
    'first-event.rate' = '10000000',
    'next-event.rate' = '10000000',
    'events.num' = '100000000',
    'person.proportion' = '2',
    'auction.proportion' = '6',
    'bid.proportion' = '92'
);

CREATE TEMPORARY TABLE discard_sink (
    bidder BIGINT,
    bid_count BIGINT,
    starttime TIMESTAMP(3),
    endtime TIMESTAMP(3)
) 
WITH ('connector' = 'blackhole');

CREATE TEMPORARY VIEW bid AS
    SELECT 
        bid.auction,
        bid.bidder,
        bid.price,
        bid.channel,
        bid.url,
        dateTime,
        bid.extra 
    FROM
        `vvp`.`default`.nexmark_table 
    WHERE
        event_type = 2;

INSERT INTO discard_sink
    SELECT 
        B.bidder,
        count(*) as bid_count,
        SESSION_START(B.dateTime, INTERVAL '10' SECOND) as starttime,
        SESSION_END(B.dateTime, INTERVAL '10' SECOND) as endtime 
    FROM
        bid B 
    GROUP BY
        B.bidder, SESSION(B.dateTime, INTERVAL '10' SECOND);

q12

CREATE TEMPORARY TABLE nexmark_table (
    event_type INT,
    person ROW < id BIGINT, name VARCHAR, emailAddress VARCHAR, creditCard VARCHAR, city VARCHAR, state VARCHAR, dateTime TIMESTAMP(3), extra VARCHAR >,
    auction ROW < id BIGINT, itemName VARCHAR, description VARCHAR, initialBid BIGINT, reserve BIGINT, dateTime TIMESTAMP(3), expires TIMESTAMP(3), seller BIGINT, category BIGINT, extra VARCHAR >,
    bid ROW < auction BIGINT, bidder BIGINT, price BIGINT, channel VARCHAR, url VARCHAR, dateTime TIMESTAMP(3), extra VARCHAR >,
    dateTime AS CASE 
        WHEN event_type = 0 
        THEN person.dateTime 
        WHEN event_type = 1 
        THEN auction.dateTime 
        ELSE bid.dateTime 
    END,
    WATERMARK FOR dateTime AS dateTime - INTERVAL '4' SECOND
) 
WITH (
    'connector' = 'nexmark',
    'first-event.rate' = '10000000',
    'next-event.rate' = '10000000',
    'events.num' = '100000000',
    'person.proportion' = '2',
    'auction.proportion' = '6',
    'bid.proportion' = '92'
);

CREATE TEMPORARY TABLE discard_sink (
    bidder BIGINT,
    bid_count BIGINT,
    starttime TIMESTAMP(3),
    endtime TIMESTAMP(3)
) 
WITH ('connector' = 'blackhole');

CREATE TEMPORARY VIEW bid AS
    SELECT 
        bid.auction,
        bid.bidder,
        bid.price,
        bid.channel,
        bid.url,
        dateTime,
        bid.extra 
    FROM
        `vvp`.`default`.nexmark_table 
    WHERE
        event_type = 2;

INSERT INTO discard_sink
    SELECT 
        B.bidder,
        count(*) as bid_count,
        TUMBLE_START(B.p_time, INTERVAL '10' SECOND) as starttime,
        TUMBLE_END(B.p_time, INTERVAL '10' SECOND) as endtime 
    FROM
        (
            SELECT 
                *, PROCTIME() as p_time 
            FROM
                bid
        ) B 
    GROUP BY
        B.bidder, TUMBLE(B.p_time, INTERVAL '10' SECOND);

q15

CREATE TEMPORARY TABLE nexmark_table (
    event_type INT,
    person ROW < id BIGINT, name VARCHAR, emailAddress VARCHAR, creditCard VARCHAR, city VARCHAR, state VARCHAR, dateTime TIMESTAMP(3), extra VARCHAR >,
    auction ROW < id BIGINT, itemName VARCHAR, description VARCHAR, initialBid BIGINT, reserve BIGINT, dateTime TIMESTAMP(3), expires TIMESTAMP(3), seller BIGINT, category BIGINT, extra VARCHAR >,
    bid ROW < auction BIGINT, bidder BIGINT, price BIGINT, channel VARCHAR, url VARCHAR, dateTime TIMESTAMP(3), extra VARCHAR >,
    dateTime AS CASE 
        WHEN event_type = 0 
        THEN person.dateTime 
        WHEN event_type = 1 
        THEN auction.dateTime 
        ELSE bid.dateTime 
    END,
    WATERMARK FOR dateTime AS dateTime - INTERVAL '4' SECOND
) 
WITH (
    'connector' = 'nexmark',
    'first-event.rate' = '10000000',
    'next-event.rate' = '10000000',
    'events.num' = '100000000',
    'person.proportion' = '2',
    'auction.proportion' = '6',
    'bid.proportion' = '92'
);

CREATE TEMPORARY TABLE discard_sink (
    `day` VARCHAR,
    total_bids BIGINT,
    rank1_bids BIGINT,
    rank2_bids BIGINT,
    rank3_bids BIGINT,
    total_bidders BIGINT,
    rank1_bidders BIGINT,
    rank2_bidders BIGINT,
    rank3_bidders BIGINT,
    total_auctions BIGINT,
    rank1_auctions BIGINT,
    rank2_auctions BIGINT,
    rank3_auctions BIGINT
) 
WITH ('connector' = 'blackhole');

CREATE TEMPORARY VIEW bid AS
    SELECT 
        bid.auction,
        bid.bidder,
        bid.price,
        bid.channel,
        bid.url,
        dateTime,
        bid.extra 
    FROM
        `vvp`.`default`.nexmark_table 
    WHERE
        event_type = 2;

INSERT INTO discard_sink
    SELECT 
        DATE_FORMAT(dateTime, 'yyyy-MM-dd') as `day`,
        count(*) AS total_bids,
        count(*) 
            filter(where price < 10000) AS rank1_bids,
        count(*) 
            filter(where price >= 10000 
                and price < 1000000) AS rank2_bids,
        count(*) 
            filter(where price >= 1000000) AS rank3_bids,
        count(distinct bidder) AS total_bidders,
        count(distinct bidder) 
            filter(where price < 10000) AS rank1_bidders,
        count(distinct bidder) 
            filter(where price >= 10000 
                and price < 1000000) AS rank2_bidders,
        count(distinct bidder) 
            filter(where price >= 1000000) AS rank3_bidders,
        count(distinct auction) AS total_auctions,
        count(distinct auction) 
            filter(where price < 10000) AS rank1_auctions,
        count(distinct auction) 
            filter(where price >= 10000 
                and price < 1000000) AS rank2_auctions,
        count(distinct auction) 
            filter(where price >= 1000000) AS rank3_auctions 
    FROM
        bid 
    GROUP BY
        DATE_FORMAT(dateTime, 'yyyy-MM-dd');

q16

CREATE TEMPORARY TABLE nexmark_table (
    event_type INT,
    person ROW < id BIGINT, name VARCHAR, emailAddress VARCHAR, creditCard VARCHAR, city VARCHAR, state VARCHAR, dateTime TIMESTAMP(3), extra VARCHAR >,
    auction ROW < id BIGINT, itemName VARCHAR, description VARCHAR, initialBid BIGINT, reserve BIGINT, dateTime TIMESTAMP(3), expires TIMESTAMP(3), seller BIGINT, category BIGINT, extra VARCHAR >,
    bid ROW < auction BIGINT, bidder BIGINT, price BIGINT, channel VARCHAR, url VARCHAR, dateTime TIMESTAMP(3), extra VARCHAR >,
    dateTime AS CASE 
        WHEN event_type = 0 
        THEN person.dateTime 
        WHEN event_type = 1 
        THEN auction.dateTime 
        ELSE bid.dateTime 
    END,
    WATERMARK FOR dateTime AS dateTime - INTERVAL '4' SECOND
) 
WITH (
    'connector' = 'nexmark',
    'first-event.rate' = '10000000',
    'next-event.rate' = '10000000',
    'events.num' = '100000000',
    'person.proportion' = '2',
    'auction.proportion' = '6',
    'bid.proportion' = '92'
);

CREATE TEMPORARY TABLE discard_sink (
    channel VARCHAR,
    `day` VARCHAR,
    `minute` VARCHAR,
    total_bids BIGINT,
    rank1_bids BIGINT,
    rank2_bids BIGINT,
    rank3_bids BIGINT,
    total_bidders BIGINT,
    rank1_bidders BIGINT,
    rank2_bidders BIGINT,
    rank3_bidders BIGINT,
    total_auctions BIGINT,
    rank1_auctions BIGINT,
    rank2_auctions BIGINT,
    rank3_auctions BIGINT
) 
WITH ('connector' = 'blackhole');

CREATE TEMPORARY VIEW bid AS
    SELECT 
        bid.auction,
        bid.bidder,
        bid.price,
        bid.channel,
        bid.url,
        dateTime,
        bid.extra 
    FROM
        `vvp`.`default`.nexmark_table 
    WHERE
        event_type = 2;

INSERT INTO discard_sink
    SELECT 
        channel,
        DATE_FORMAT(dateTime, 'yyyy-MM-dd') as `day`,
        max(DATE_FORMAT(dateTime, 'HH:mm')) as `minute`,
        count(*) AS total_bids,
        count(*) 
            filter(where price < 10000) AS rank1_bids,
        count(*) 
            filter(where price >= 10000 
                and price < 1000000) AS rank2_bids,
        count(*) 
            filter(where price >= 1000000) AS rank3_bids,
        count(distinct bidder) AS total_bidders,
        count(distinct bidder) 
            filter(where price < 10000) AS rank1_bidders,
        count(distinct bidder) 
            filter(where price >= 10000 
                and price < 1000000) AS rank2_bidders,
        count(distinct bidder) 
            filter(where price >= 1000000) AS rank3_bidders,
        count(distinct auction) AS total_auctions,
        count(distinct auction) 
            filter(where price < 10000) AS rank1_auctions,
        count(distinct auction) 
            filter(where price >= 10000 
                and price < 1000000) AS rank2_auctions,
        count(distinct auction) 
            filter(where price >= 1000000) AS rank3_auctions 
    FROM
        bid 
    GROUP BY
        channel, DATE_FORMAT(dateTime, 'yyyy-MM-dd');

q17

CREATE TEMPORARY TABLE nexmark_table (
    event_type INT,
    person ROW < id BIGINT, name VARCHAR, emailAddress VARCHAR, creditCard VARCHAR, city VARCHAR, state VARCHAR, dateTime TIMESTAMP(3), extra VARCHAR >,
    auction ROW < id BIGINT, itemName VARCHAR, description VARCHAR, initialBid BIGINT, reserve BIGINT, dateTime TIMESTAMP(3), expires TIMESTAMP(3), seller BIGINT, category BIGINT, extra VARCHAR >,
    bid ROW < auction BIGINT, bidder BIGINT, price BIGINT, channel VARCHAR, url VARCHAR, dateTime TIMESTAMP(3), extra VARCHAR >,
    dateTime AS CASE 
        WHEN event_type = 0 
        THEN person.dateTime 
        WHEN event_type = 1 
        THEN auction.dateTime 
        ELSE bid.dateTime 
    END,
    WATERMARK FOR dateTime AS dateTime - INTERVAL '4' SECOND
) 
WITH (
    'connector' = 'nexmark',
    'first-event.rate' = '10000000',
    'next-event.rate' = '10000000',
    'events.num' = '100000000',
    'person.proportion' = '2',
    'auction.proportion' = '6',
    'bid.proportion' = '92'
);

CREATE TEMPORARY TABLE discard_sink (
    auction BIGINT,
    `day` VARCHAR,
    total_bids BIGINT,
    rank1_bids BIGINT,
    rank2_bids BIGINT,
    rank3_bids BIGINT,
    min_price BIGINT,
    max_price BIGINT,
    avg_price BIGINT,
    sum_price BIGINT
) 
WITH ('connector' = 'blackhole');

CREATE TEMPORARY VIEW bid AS
    SELECT 
        bid.auction,
        bid.bidder,
        bid.price,
        bid.channel,
        bid.url,
        dateTime,
        bid.extra 
    FROM
        `vvp`.`default`.nexmark_table 
    WHERE
        event_type = 2;

INSERT INTO discard_sink
    SELECT 
        auction,
        DATE_FORMAT(dateTime, 'yyyy-MM-dd') as `day`,
        count(*) AS total_bids,
        count(*) 
            filter(where price < 10000) AS rank1_bids,
        count(*) 
            filter(where price >= 10000 
                and price < 1000000) AS rank2_bids,
        count(*) 
            filter(where price >= 1000000) AS rank3_bids,
        min(price) AS min_price,
        max(price) AS max_price,
        avg(price) AS avg_price,
        sum(price) AS sum_price 
    FROM
        bid 
    GROUP BY
        auction, DATE_FORMAT(dateTime, 'yyyy-MM-dd');

q18

CREATE TEMPORARY TABLE nexmark_table (
    event_type INT,
    person ROW < id BIGINT, name VARCHAR, emailAddress VARCHAR, creditCard VARCHAR, city VARCHAR, state VARCHAR, dateTime TIMESTAMP(3), extra VARCHAR >,
    auction ROW < id BIGINT, itemName VARCHAR, description VARCHAR, initialBid BIGINT, reserve BIGINT, dateTime TIMESTAMP(3), expires TIMESTAMP(3), seller BIGINT, category BIGINT, extra VARCHAR >,
    bid ROW < auction BIGINT, bidder BIGINT, price BIGINT, channel VARCHAR, url VARCHAR, dateTime TIMESTAMP(3), extra VARCHAR >,
    dateTime AS CASE 
        WHEN event_type = 0 
        THEN person.dateTime 
        WHEN event_type = 1 
        THEN auction.dateTime 
        ELSE bid.dateTime 
    END,
    WATERMARK FOR dateTime AS dateTime - INTERVAL '4' SECOND
) 
WITH (
    'connector' = 'nexmark',
    'first-event.rate' = '10000000',
    'next-event.rate' = '10000000',
    'events.num' = '100000000',
    'person.proportion' = '2',
    'auction.proportion' = '6',
    'bid.proportion' = '92'
);

CREATE TEMPORARY TABLE discard_sink (
    auction BIGINT,
    bidder BIGINT,
    price BIGINT,
    channel VARCHAR,
    url VARCHAR,
    dateTime TIMESTAMP(3),
    extra VARCHAR
) 
WITH ('connector' = 'blackhole');

CREATE TEMPORARY VIEW bid AS
    SELECT 
        bid.auction,
        bid.bidder,
        bid.price,
        bid.channel,
        bid.url,
        dateTime,
        bid.extra 
    FROM
        `vvp`.`default`.nexmark_table 
    WHERE
        event_type = 2;

INSERT INTO discard_sink
    SELECT 
        auction, bidder, price, channel, url, dateTime, extra 
    FROM
        (
            SELECT 
                *,
                ROW_NUMBER() 
                    OVER (
                        PARTITION BY
                            bidder, auction
                        ORDER BY
                            dateTime DESC
                    ) AS rank_number 
            FROM
                bid
        ) 
    WHERE
        rank_number <= 1;

q19

CREATE TEMPORARY TABLE nexmark_table (
    event_type INT,
    person ROW < id BIGINT, name VARCHAR, emailAddress VARCHAR, creditCard VARCHAR, city VARCHAR, state VARCHAR, dateTime TIMESTAMP(3), extra VARCHAR >,
    auction ROW < id BIGINT, itemName VARCHAR, description VARCHAR, initialBid BIGINT, reserve BIGINT, dateTime TIMESTAMP(3), expires TIMESTAMP(3), seller BIGINT, category BIGINT, extra VARCHAR >,
    bid ROW < auction BIGINT, bidder BIGINT, price BIGINT, channel VARCHAR, url VARCHAR, dateTime TIMESTAMP(3), extra VARCHAR >,
    dateTime AS CASE 
        WHEN event_type = 0 
        THEN person.dateTime 
        WHEN event_type = 1 
        THEN auction.dateTime 
        ELSE bid.dateTime 
    END,
    WATERMARK FOR dateTime AS dateTime - INTERVAL '4' SECOND
) 
WITH (
    'connector' = 'nexmark',
    'first-event.rate' = '10000000',
    'next-event.rate' = '10000000',
    'events.num' = '100000000',
    'person.proportion' = '2',
    'auction.proportion' = '6',
    'bid.proportion' = '92'
);

CREATE TEMPORARY TABLE discard_sink (
    auction BIGINT,
    bidder BIGINT,
    price BIGINT,
    channel VARCHAR,
    url VARCHAR,
    dateTime TIMESTAMP(3),
    extra VARCHAR,
    rank_number BIGINT
) 
WITH ('connector' = 'blackhole');

CREATE TEMPORARY VIEW bid AS
    SELECT 
        bid.auction,
        bid.bidder,
        bid.price,
        bid.channel,
        bid.url,
        dateTime,
        bid.extra 
    FROM
        `vvp`.`default`.nexmark_table 
    WHERE
        event_type = 2;

INSERT INTO discard_sink
    SELECT 
        * 
    FROM
        (
            SELECT 
                *,
                ROW_NUMBER() 
                    OVER (
                        PARTITION BY
                            auction
                        ORDER BY
                            price DESC
                    ) AS rank_number 
            FROM
                bid
        ) 
    WHERE
        rank_number <= 10;

q20

CREATE TEMPORARY TABLE nexmark_table (
    event_type INT,
    person ROW < id BIGINT, name VARCHAR, emailAddress VARCHAR, creditCard VARCHAR, city VARCHAR, state VARCHAR, dateTime TIMESTAMP(3), extra VARCHAR >,
    auction ROW < id BIGINT, itemName VARCHAR, description VARCHAR, initialBid BIGINT, reserve BIGINT, dateTime TIMESTAMP(3), expires TIMESTAMP(3), seller BIGINT, category BIGINT, extra VARCHAR >,
    bid ROW < auction BIGINT, bidder BIGINT, price BIGINT, channel VARCHAR, url VARCHAR, dateTime TIMESTAMP(3), extra VARCHAR >,
    dateTime AS CASE 
        WHEN event_type = 0 
        THEN person.dateTime 
        WHEN event_type = 1 
        THEN auction.dateTime 
        ELSE bid.dateTime 
    END,
    WATERMARK FOR dateTime AS dateTime - INTERVAL '4' SECOND
) 
WITH (
    'connector' = 'nexmark',
    'first-event.rate' = '10000000',
    'next-event.rate' = '10000000',
    'events.num' = '100000000',
    'person.proportion' = '2',
    'auction.proportion' = '6',
    'bid.proportion' = '92'
);

CREATE TEMPORARY TABLE discard_sink (
    auction BIGINT,
    bidder BIGINT,
    price BIGINT,
    channel VARCHAR,
    url VARCHAR,
    bid_dateTime TIMESTAMP(3),
    bid_extra VARCHAR,
    itemName VARCHAR,
    description VARCHAR,
    initialBid BIGINT,
    reserve BIGINT,
    auction_dateTime TIMESTAMP(3),
    expires TIMESTAMP(3),
    seller BIGINT,
    category BIGINT,
    auction_extra VARCHAR
) 
WITH ('connector' = 'blackhole');

CREATE TEMPORARY VIEW auction AS
    SELECT 
        auction.id,
        auction.itemName,
        auction.description,
        auction.initialBid,
        auction.reserve,
        dateTime,
        auction.expires,
        auction.seller,
        auction.category,
        auction.extra 
    FROM
        `vvp`.`default`.nexmark_table 
    WHERE
        event_type = 1;

CREATE TEMPORARY VIEW bid AS
    SELECT 
        bid.auction,
        bid.bidder,
        bid.price,
        bid.channel,
        bid.url,
        dateTime,
        bid.extra 
    FROM
        `vvp`.`default`.nexmark_table 
    WHERE
        event_type = 2;

INSERT INTO discard_sink
    SELECT 
        auction,
        bidder,
        price,
        channel,
        url,
        B.dateTime,
        B.extra,
        itemName,
        description,
        initialBid,
        reserve,
        A.dateTime,
        expires,
        seller,
        category,
        A.extra 
    FROM
        bid AS B 
        INNER JOIN auction AS A
            on B.auction = A.id 
    WHERE
        A.category = 10;

q21

CREATE TEMPORARY TABLE nexmark_table (
    event_type INT,
    person ROW < id BIGINT, name VARCHAR, emailAddress VARCHAR, creditCard VARCHAR, city VARCHAR, state VARCHAR, dateTime TIMESTAMP(3), extra VARCHAR >,
    auction ROW < id BIGINT, itemName VARCHAR, description VARCHAR, initialBid BIGINT, reserve BIGINT, dateTime TIMESTAMP(3), expires TIMESTAMP(3), seller BIGINT, category BIGINT, extra VARCHAR >,
    bid ROW < auction BIGINT, bidder BIGINT, price BIGINT, channel VARCHAR, url VARCHAR, dateTime TIMESTAMP(3), extra VARCHAR >,
    dateTime AS CASE 
        WHEN event_type = 0 
        THEN person.dateTime 
        WHEN event_type = 1 
        THEN auction.dateTime 
        ELSE bid.dateTime 
    END,
    WATERMARK FOR dateTime AS dateTime - INTERVAL '4' SECOND
) 
WITH (
    'connector' = 'nexmark',
    'first-event.rate' = '10000000',
    'next-event.rate' = '10000000',
    'events.num' = '100000000',
    'person.proportion' = '2',
    'auction.proportion' = '6',
    'bid.proportion' = '92'
);

CREATE TEMPORARY TABLE discard_sink (
    auction BIGINT,
    bidder BIGINT,
    price BIGINT,
    channel VARCHAR,
    channel_id VARCHAR
) 
WITH ('connector' = 'blackhole');

CREATE TEMPORARY VIEW bid AS
    SELECT 
        bid.auction,
        bid.bidder,
        bid.price,
        bid.channel,
        bid.url,
        dateTime,
        bid.extra 
    FROM
        `vvp`.`default`.nexmark_table 
    WHERE
        event_type = 2;

INSERT INTO discard_sink
    SELECT 
        auction,
        bidder,
        price,
        channel,
        CASE 
            WHEN lower(channel) = 'apple' 
            THEN '0' 
            WHEN lower(channel) = 'google' 
            THEN '1' 
            WHEN lower(channel) = 'facebook' 
            THEN '2' 
            WHEN lower(channel) = 'baidu' 
            THEN '3' 
            ELSE REGEXP_EXTRACT(url, '(&|^)channel_id=([^&]*)', 2) 
        END AS channel_id 
    FROM
        bid 
    where
        REGEXP_EXTRACT(url, '(&|^)channel_id=([^&]*)', 2) is not null 
            or lower(channel) in ('apple', 'google', 'facebook', 'baidu');

q22

CREATE TEMPORARY TABLE nexmark_table (
    event_type INT,
    person ROW < id BIGINT, name VARCHAR, emailAddress VARCHAR, creditCard VARCHAR, city VARCHAR, state VARCHAR, dateTime TIMESTAMP(3), extra VARCHAR >,
    auction ROW < id BIGINT, itemName VARCHAR, description VARCHAR, initialBid BIGINT, reserve BIGINT, dateTime TIMESTAMP(3), expires TIMESTAMP(3), seller BIGINT, category BIGINT, extra VARCHAR >,
    bid ROW < auction BIGINT, bidder BIGINT, price BIGINT, channel VARCHAR, url VARCHAR, dateTime TIMESTAMP(3), extra VARCHAR >,
    dateTime AS CASE 
        WHEN event_type = 0 
        THEN person.dateTime 
        WHEN event_type = 1 
        THEN auction.dateTime 
        ELSE bid.dateTime 
    END,
    WATERMARK FOR dateTime AS dateTime - INTERVAL '4' SECOND
) 
WITH (
    'connector' = 'nexmark',
    'first-event.rate' = '10000000',
    'next-event.rate' = '10000000',
    'events.num' = '100000000',
    'person.proportion' = '2',
    'auction.proportion' = '6',
    'bid.proportion' = '92'
);

CREATE TEMPORARY TABLE discard_sink (
    auction BIGINT,
    bidder BIGINT,
    price BIGINT,
    channel VARCHAR,
    dir1 VARCHAR,
    dir2 VARCHAR,
    dir3 VARCHAR
) 
WITH ('connector' = 'blackhole');

CREATE TEMPORARY VIEW bid AS
    SELECT 
        bid.auction,
        bid.bidder,
        bid.price,
        bid.channel,
        bid.url,
        dateTime,
        bid.extra 
    FROM
        `vvp`.`default`.nexmark_table 
    WHERE
        event_type = 2;

INSERT INTO discard_sink
    SELECT 
        auction,
        bidder,
        price,
        channel,
        SPLIT_INDEX(url, '/', 3) as dir1,
        SPLIT_INDEX(url, '/', 4) as dir2,
        SPLIT_INDEX(url, '/', 5) as dir3 
    FROM
        bid;
  1. Klik tab di sebelah kanan, lalu di bawah More Configurations, atur Engine Version menjadi Vvr-6.0.4-flink-1.15.

  2. Di sudut kanan atas editor SQL, klik Deploy.

  3. Pada halaman Operation Center > Job O&M, klik Pekerjaan target. Pada tab Deployment Details, di bagian Resource Configuration, klik Edit di pojok kanan atas. Atur parameter Concurrency menjadi 1, parameter TaskManager Memory menjadi 4 GiB, dan parameter TaskManager CPU Cores menjadi 1 Core. Gambar berikut menunjukkan konfigurasinya.Resource configuration settings

  4. Setelah konfigurasi selesai, klik Save di pojok kanan atas bagian Resource Configuration.

  5. Untuk setiap Pekerjaan target, klik Start pada kolom Actions.

  6. Setelah status Pekerjaan target berubah menjadi Completed, klik nama Pekerjaan target tersebut. Pada tab Running Events, lihat Start Time dan End Time Pekerjaan tersebut, seperti yang ditunjukkan di bawah ini.

    • Waktu mulai: Pekerjaan berhasil dimulai.

    • Waktu selesai: Pekerjaan berhasil selesai.

Hasil yang diharapkan

Catatan

Duration adalah selisih antara End Time dan Start Time. RPS adalah hasil pembagian events.num dengan Duration.

Query

Waktu Mulai

Waktu Selesai

Durasi (detik)

RPS

q0

2023-02-07 11:55:13

2023-02-07 12:26:00

1.847

54,141

q1

2023-02-07 12:28:06

2023-02-07 12:58:53

1.847

54,141

q2

2023-02-07 12:29:13

2023-02-07 13:00:02

1,849

54,083

q3

2023-02-07 12:47:12

2023-02-07 13:18:01

1.849

54083

q4

2023-02-07 13:30:08

2023-02-07 14:04:46

2,078

48,123

q5

2023-02-07 14:15:07

2023-02-07 14:45:45

1.838

54,406

q7

2023-02-07 14:24:13

2023-02-07 17:08:42

9,869

10,132

q8

2023-02-07 14:27:09

2023-02-07 14:57:47

1.838

54,406

q9

2023-02-07 14:35:53

2023-02-07 15:38:16

3.743

26.716

q11

2023-02-07 14:38:14

2023-02-07 15:08:53

1.839

54,377

q12

2023-02-07 14:40:36

2023-02-07 15:11:15

1.839 s

54,377

q15

2023-02-07 14:42:43

2023-02-07 15:13:22

1.839

54,377

q16

2023-02-07 14:46:17

2023-02-07 16:03:09

4,012

24,925

q17

2023-02-07 16:02:19

2023-02-07 16:33:07

1.848

54.112

q18

2023-02-07 16:04:43

2023-02-07 16:41:08

2,185

45,766

q19

2023-02-07 16:07:13

2023-02-07 16:40:01

1.968

50,813

q20

2023-02-07 16:13:29

2023-02-07 16:59:13

2,744

36,443

q21

2023-02-07 16:16:32

2023-02-07 16:47:11

1.849

54,083

q22

2023-02-07 16:18:53

2023-02-07 16:49:41

1.848

54,112