备案控制台
文档
产品文档
输入文档关键字查找
首页 云原生数据仓库AnalyticDB MySQL版 操作指南 数据安全 Spark全密态计算引擎 高性能版Spark全密态计算引擎性能测试报告

高性能版Spark全密态计算引擎性能测试报告

更新时间：
一键部署
产品详情
相关技术圈
我的收藏

本文介绍高性能版Spark全密态计算引擎与AnalyticDB for MySQL Spark的性能测试流程及对比结果，通过对比可知，在处理大规模数据集时，高性能版Spark全密态计算引擎相较于AnalyticDB for MySQL Spark 3.2.0版本的性能提升了0.9倍，具体性能对比详情请参见本文。

重要

本测试并未完全依照TPC-H基准测试规范，而是基于该测试规范进行了修改。本测试结果不能等同于完全遵守TPC-H测试规范所获得的测试结果，因此不能与完全遵守该测试规范获得的测试结果进行对比。

前提条件

  • AnalyticDB MySQL湖仓版（3.0）集群与OSS存储空间位于相同地域。

  • 已创建数据库账号。

  • 已创建Job型资源组。具体操作，请参见新建资源组。

  • 已为RAM用户授予AliyunADBFullAccess、AliyunADBSparkProcessingDataRole和AnalyticDB MySQL库表的读写权限。具体操作，请参见账号授权。

测试环境

配置项

说明

备注

地域及可用区

华东1（杭州）可用区K

不涉及。

网络类型

专有网络VPC

不涉及。

产品系列

湖仓版（3.0）集群

不涉及。

Spark资源规格

2xlarge（16 core 64 GB，8台）

不涉及。

执行引擎

  • AnalyticDB for MySQL Spark 3.2.0版本

  • 高性能版Spark全密态计算引擎

对比AnalyticDB for MySQL Spark和高性能版Spark全密态计算引擎的性能。

测试数据量

明文数据：1TB

密文数据：1TB

明文数据与密文数据的文件类型均为Parquet。

存储

OSS存储空间

不涉及。

测试数据

本文示例以TPC-H数据集为例。

  1. 在TPC官网下载TPC-H标准的数据生成工具DBGEN。

  2. 构造测试数据。更多信息，请参见构建数据。

    ./dbgen -s $scale -C $chunks -S $i -f

    TPC-H测试数据集包含customer、lineitem、nation、orders、part、partsupp、region、supplier八张表。

  3. 将上述步骤生成的八张表转换为Parquet格式。本文以customer为例，示例如下：

      val df = spark.read
  .format("csv")
  .option("header", "false")
  .option("delimiter", "|")
  .schema(StructType {
    StructField("c_custkey", IntegerType, true) ::
      StructField("c_name", StringType, true) ::
      StructField("c_address", StringType, true) ::
      StructField("c_nationkey", IntegerType, true) ::
      StructField("c_phone", StringType, true) ::
      StructField("c_acctbal", FloatType, true) ::
      StructField("c_mktsegment", StringType, true) ::
      StructField("c_comment", StringType, true) ::
      Nil
  })
  .load("customer.tbl")
  df.write.parquet("parquet/customer")
    说明

    本文仅展示将customer表转换为Parquet格式的示例语句，其他表与本示例相似。

  4. 将TPC-H测试数据集上传至OSS存储空间。本文示例为：oss://testBucketName/adb/Spark。

测试场景一：使用AnalyticDB for MySQL Spark处理明文数据

  1. 登录云原生数据仓库AnalyticDB MySQL控制台，在左上角选择集群所在地域。在左侧导航栏，单击集群列表，在湖仓版（3.0）页签，单击目标集群ID。

  2. 在左侧导航栏，单击作业开发 > SQL开发。

  3. 在SQLConsole窗口，选择Spark引擎和Job型资源组。

  4. 创建数据库。

    SET spark.driver.resourceSpec=2xlarge;
SET spark.executor.instances=8;
SET spark.executor.resourceSpec=2xlarge;
CREATE DATABASE adb_plain_db;

  5. 创建外表，用于存储明文数据。LOCATION为TPC-H测试数据集所在的OSS路径。本文以customer表为例，OSS路径为oss://testBucketName/adb/Spark/customer。

    SET spark.driver.resourceSpec=2xlarge;
SET spark.executor.instances=8;
SET spark.executor.resourceSpec=2xlarge;
USE adb_plain_db; 
CREATE TABLE IF NOT EXISTS customer 
 (
 c_custkey long,
 c_name string,
 c_address string,
 c_nationkey long,
 c_phone string,
 c_acctbal decimal(12, 2),
 c_mktsegment string,
 c_comment string
)
USING parquet 
LOCATION 'oss://testBucketName/adb/Spark/customer';

  6. 执行SQL计算，并记录SQL执行耗时。

    SET spark.driver.resourceSpec=2xlarge;
SET spark.executor.instances=8;
SET spark.executor.resourceSpec=2xlarge;
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'1998-09-02' - interval 1 day
GROUP BY
 l_returnflag,
 l_linestatus
ORDER BY
 l_returnflag,
 l_linestatus;

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;


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;

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;

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;

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;

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') AS shipping
GROUP BY
 supp_nation,
 cust_nation,
 l_year
ORDER BY
 supp_nation,
 cust_nation,
 l_year;

SELECT
 o_year,
 sum(
 CASE WHEN nation = 'BRAZIL' 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 = 'ECONOMY ANODIZED STEEL') AS all_nations
GROUP BY
 o_year
ORDER BY
 o_year;

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%') AS profit
GROUP BY
 nation,
 o_year
ORDER BY
 nation,
 o_year DESC;

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'1993-10-01' AND o_orderdate < date'1993-10-01' + 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;

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) * 0.0001000000
 FROM
 partsupp,
 supplier,
 nation
 WHERE
 ps_suppkey = s_suppkey
 AND s_nationkey = n_nationkey
 AND n_name = 'GERMANY')
ORDER BY
 value DESC;

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 ('MAIL', 'SHIP')
 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;

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

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;


SELECT
 s_suppkey,
 s_name,
 s_address,
 s_phone,
 total_revenue
FROM
 supplier,
 (
 SELECT
 l_suppkey AS supplier_no,
 sum(l_extendedprice * (1 - l_discount)) AS total_revenue
 FROM
 lineitem
 WHERE
 l_shipdate >= date'1996-01-01' AND l_shipdate < date'1996-01-01' + interval 3 month
 GROUP BY
 supplier_no) revenue0
WHERE
 s_suppkey = supplier_no
 AND total_revenue = (
 SELECT
 max(total_revenue)
 FROM (
 SELECT
 l_suppkey AS supplier_no,
 sum(l_extendedprice * (1 - l_discount)) AS total_revenue
 FROM
 lineitem
 WHERE
 l_shipdate >= date'1996-01-01' AND l_shipdate < date'1996-01-01' + interval 3 month
 GROUP BY
 supplier_no) revenue1)
ORDER BY
 s_suppkey;

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;

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 = 'MED BOX'
 AND l_quantity < (
 SELECT
 0.2 * avg(l_quantity)
 FROM
 lineitem
 WHERE
 l_partkey = p_partkey);

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;

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#23'
 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#34'
 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');

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;

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;

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)) AS custsale
GROUP BY
 cntrycode
ORDER BY
 cntrycode;

测试场景二：使用高性能版Spark全密态计算引擎处理明文数据

  1. 登录云原生数据仓库AnalyticDB MySQL控制台，在左上角选择集群所在地域。在左侧导航栏，单击集群列表，在湖仓版（3.0）页签，单击目标集群ID。

  2. 在左侧导航栏，单击作业开发 > SQL开发。

  3. 在SQLConsole窗口，选择Spark引擎和Job型资源组。

  4. 开启密态计算，并创建数据库。

    -- 开启密态计算
SET spark.adb.native.enabled=true;
-- 配置Spark资源规格
SET spark.driver.resourceSpec=2xlarge;
SET spark.executor.instances=8;
SET spark.executor.resourceSpec=2xlarge;
-- 创建数据库
CREATE DATABASE adb_external_db;

  5. 创建OSS外表，用于存储明文数据。LOCATION为TPC-H测试数据集所在的OSS路径。本文以customer表为例，OSS路径为oss://testBucketName/adb/Spark/customer。

    SET spark.adb.native.enabled=true;
SET spark.driver.resourceSpec=2xlarge;
SET spark.executor.instances=8;
SET spark.executor.resourceSpec=2xlarge;
USE adb_external_db;
CREATE TABLE IF NOT EXISTS customer 
 (
 c_custkey long,
 c_name string,
 c_address string,
 c_nationkey long,
 c_phone string,
 c_acctbal decimal(12, 2),
 c_mktsegment string,
 c_comment string
)
USING parquet 
LOCATION 'oss://testBucketName/adb/Spark/customer';

  6. 执行SQL计算，并记录SQL执行耗时。

    SET spark.driver.resourceSpec=2xlarge;
SET spark.executor.instances=8;
SET spark.executor.resourceSpec=2xlarge;
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'1998-09-02' - interval 1 day
GROUP BY
 l_returnflag,
 l_linestatus
ORDER BY
 l_returnflag,
 l_linestatus;

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;


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;

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;

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;

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;

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') AS shipping
GROUP BY
 supp_nation,
 cust_nation,
 l_year
ORDER BY
 supp_nation,
 cust_nation,
 l_year;

SELECT
 o_year,
 sum(
 CASE WHEN nation = 'BRAZIL' 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 = 'ECONOMY ANODIZED STEEL') AS all_nations
GROUP BY
 o_year
ORDER BY
 o_year;

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%') AS profit
GROUP BY
 nation,
 o_year
ORDER BY
 nation,
 o_year DESC;

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'1993-10-01' AND o_orderdate < date'1993-10-01' + 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;

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) * 0.0001000000
 FROM
 partsupp,
 supplier,
 nation
 WHERE
 ps_suppkey = s_suppkey
 AND s_nationkey = n_nationkey
 AND n_name = 'GERMANY')
ORDER BY
 value DESC;

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 ('MAIL', 'SHIP')
 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;

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

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;


SELECT
 s_suppkey,
 s_name,
 s_address,
 s_phone,
 total_revenue
FROM
 supplier,
 (
 SELECT
 l_suppkey AS supplier_no,
 sum(l_extendedprice * (1 - l_discount)) AS total_revenue
 FROM
 lineitem
 WHERE
 l_shipdate >= date'1996-01-01' AND l_shipdate < date'1996-01-01' + interval 3 month
 GROUP BY
 supplier_no) revenue0
WHERE
 s_suppkey = supplier_no
 AND total_revenue = (
 SELECT
 max(total_revenue)
 FROM (
 SELECT
 l_suppkey AS supplier_no,
 sum(l_extendedprice * (1 - l_discount)) AS total_revenue
 FROM
 lineitem
 WHERE
 l_shipdate >= date'1996-01-01' AND l_shipdate < date'1996-01-01' + interval 3 month
 GROUP BY
 supplier_no) revenue1)
ORDER BY
 s_suppkey;

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;

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 = 'MED BOX'
 AND l_quantity < (
 SELECT
 0.2 * avg(l_quantity)
 FROM
 lineitem
 WHERE
 l_partkey = p_partkey);

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;

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#23'
 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#34'
 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');

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;

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;

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)) AS custsale
GROUP BY
 cntrycode
ORDER BY
 cntrycode;

测试场景三：高性能版Spark全密态计算引擎处理密文数据

  1. 登录云原生数据仓库AnalyticDB MySQL控制台，在左上角选择集群所在地域。在左侧导航栏，单击集群列表，在湖仓版（3.0）页签，单击目标集群ID。

  2. 在左侧导航栏，单击作业开发 > SQL开发。

  3. 在SQLConsole窗口，选择Spark引擎和Job型资源组。

  4. 开启密态计算，设置用户的主密钥，并创建数据库。

    -- 开启密态计算
SET spark.adb.native.enabled=true;
-- 开启密文读写支持并设置主密钥列表，KMS Client 以及 CryptoFactory（开启后引擎可同时支持明文和密文）
SET spark.hadoop.parquet.encryption.key.list=kf:MDEyMzQ1Njc4OTAxMjM0****,kc1:bvCDwqcOJGSdZSEMLjfk****,kc2:kflI/sq+uf50Qhl1MmtG****;
SET spark.hadoop.parquet.encryption.kms.client.class=io.glutenproject.encryption.InMemoryKMS;
SET spark.hadoop.parquet.crypto.factory.class=org.apache.parquet.crypto.keytools.PropertiesDrivenCryptoFactory;
-- 配置Spark资源规格
SET spark.driver.resourceSpec=2xlarge;
SET spark.executor.instances=8;
SET spark.executor.resourceSpec=2xlarge;
--创建数据库
CREATE database IF NOT EXISTS adb_encryption_db;

  5. 创建OSS外表，用于存储明文数据。LOCATION为TPC-H测试数据集所在的OSS路径。本文以customer_tmp表为例，OSS路径为oss://testBucketName/adb/Spark/customer。

    SET spark.adb.native.enabled=true;
SET spark.hadoop.parquet.encryption.key.list=kf:MDEyMzQ1Njc4OTAxMjM0****,kc1:bvCDwqcOJGSdZSEMLjfk****,kc2:kflI/sq+uf50Qhl1MmtG****;
SET spark.hadoop.parquet.encryption.kms.client.class=io.glutenproject.encryption.InMemoryKMS;
SET spark.hadoop.parquet.crypto.factory.class=org.apache.parquet.crypto.keytools.PropertiesDrivenCryptoFactory;
SET spark.driver.resourceSpec=2xlarge;
SET spark.executor.instances=8;
SET spark.executor.resourceSpec=2xlarge;
USE adb_encryption_db;
CREATE TABLE IF NOT EXISTS customer_tmp
 (
 c_custkey long,
 c_name string,
 c_address string,
 c_nationkey long,
 c_phone string,
 c_acctbal decimal(12, 2),
 c_mktsegment string,
 c_comment string
)
USING parquet 
LOCATION 'oss://testBucketName/adb/Spark/customer';

  6. 创建OSS外表，用于存储密文数据。本文示例将customer外表的数据指定存储在oss://testBucketName/adb/Spark/enc_customer。

    SET spark.adb.native.enabled=true;
SET spark.hadoop.parquet.encryption.key.list=kf:MDEyMzQ1Njc4OTAxMjM0****,kc1:bvCDwqcOJGSdZSEMLjfk****,kc2:kflI/sq+uf50Qhl1MmtG****;
SET spark.hadoop.parquet.encryption.kms.client.class=io.glutenproject.encryption.InMemoryKMS;
SET spark.hadoop.parquet.crypto.factory.class=org.apache.parquet.crypto.keytools.PropertiesDrivenCryptoFactory;
SET spark.driver.resourceSpec=2xlarge;
SET spark.executor.instances=8;
SET spark.executor.resourceSpec=2xlarge;
USE adb_encryption_db;
CREATE TABLE IF NOT EXISTS customer
USING Parquet
OPTIONS (
 'parquet.encryption.column.keys'='kc1:c_name;kc2:c_phone',
 'parquet.encryption.footer.key'='kf'
)
LOCATION 'oss://testBucketName/adb/Spark/enc_customer'
AS
SELECT *
FROM customer_tmp;

  7. 执行SQL计算，并记录SQL执行耗时。

    SET spark.driver.resourceSpec=2xlarge;
SET spark.executor.instances=8;
SET spark.executor.resourceSpec=2xlarge;
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'1998-09-02' - interval 1 day
GROUP BY
 l_returnflag,
 l_linestatus
ORDER BY
 l_returnflag,
 l_linestatus;

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;


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;

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;

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;

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;

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') AS shipping
GROUP BY
 supp_nation,
 cust_nation,
 l_year
ORDER BY
 supp_nation,
 cust_nation,
 l_year;

SELECT
 o_year,
 sum(
 CASE WHEN nation = 'BRAZIL' 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 = 'ECONOMY ANODIZED STEEL') AS all_nations
GROUP BY
 o_year
ORDER BY
 o_year;

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%') AS profit
GROUP BY
 nation,
 o_year
ORDER BY
 nation,
 o_year DESC;

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'1993-10-01' AND o_orderdate < date'1993-10-01' + 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;

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) * 0.0001000000
 FROM
 partsupp,
 supplier,
 nation
 WHERE
 ps_suppkey = s_suppkey
 AND s_nationkey = n_nationkey
 AND n_name = 'GERMANY')
ORDER BY
 value DESC;

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 ('MAIL', 'SHIP')
 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;

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

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;


SELECT
 s_suppkey,
 s_name,
 s_address,
 s_phone,
 total_revenue
FROM
 supplier,
 (
 SELECT
 l_suppkey AS supplier_no,
 sum(l_extendedprice * (1 - l_discount)) AS total_revenue
 FROM
 lineitem
 WHERE
 l_shipdate >= date'1996-01-01' AND l_shipdate < date'1996-01-01' + interval 3 month
 GROUP BY
 supplier_no) revenue0
WHERE
 s_suppkey = supplier_no
 AND total_revenue = (
 SELECT
 max(total_revenue)
 FROM (
 SELECT
 l_suppkey AS supplier_no,
 sum(l_extendedprice * (1 - l_discount)) AS total_revenue
 FROM
 lineitem
 WHERE
 l_shipdate >= date'1996-01-01' AND l_shipdate < date'1996-01-01' + interval 3 month
 GROUP BY
 supplier_no) revenue1)
ORDER BY
 s_suppkey;

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;

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 = 'MED BOX'
 AND l_quantity < (
 SELECT
 0.2 * avg(l_quantity)
 FROM
 lineitem
 WHERE
 l_partkey = p_partkey);

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;

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#23'
 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#34'
 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');

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;

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;

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)) AS custsale
GROUP BY
 cntrycode
ORDER BY
 cntrycode;

测试结果

各场景下的测试结果对比如下：

测试场景

SQL执行总耗时（分钟）

AnalyticDB for MySQL Spark 3.2.0版本处理明文数据

72

高性能版Spark全密态计算引擎处理明文数据

34

高性能版Spark全密态计算引擎处理密文数据

37

image

通过上述对比可以得知，在处理大规模数据集时，高性能版Spark全密态计算引擎相较于AnalyticDB for MySQL Spark 3.2.0版本性能提升了0.9倍。高性能版Spark全密态计算引擎在保证数据传输与存储过程安全的同时，也提升了数据处理效率。

文档推荐
  • 本页导读 （1）
文档反馈