如何使用Data Lake Analytics + OSS分析CSV格式的TPC-H数据集，很多新手对此不是很清楚，为了帮助大家解决这个难题，下面小编将为大家详细讲解，有这方面需求的人可以来学习下，希望你能有所收获。
如果您已经开通，可以跳过该步骤。如果没有开通，可以参考：https://help.aliyun.com/document_detail/70386.html
进行产品开通服务申请。
可以从这下载TPC-H 100MB的数据集：
https://public-datasets-cn-hangzhou.oss-cn-hangzhou.aliyuncs.com/tpch_100m_data.zip
登录阿里云官网的OSS控制台：https://oss.console.aliyun.com/overview
规划您要使用的OSS bucket，创建或选择好后，点击“文件管理”，因为有8个数据文件，为每个数据文件创建对应的文件目录：
创建好8个目录如下：
点击进入目录，上传相应的数据文件，例如，customer目录，则上传customer.tbl文件。
上传好后，如下图。然后，依次把其他7个数据文件也上传到对应的目录下。
至此，8个数据文件都上传到了您的OSS bucket中：
oss://xxx/tpch_100m/customer/customer.tbloss://xxx/tpch_100m/lineitem/lineitem.tbloss://xxx/tpch_100m/nation/nation.tbloss://xxx/tpch_100m/orders/orders.tbloss://xxx/tpch_100m/part/part.tbloss://xxx/tpch_100m/partsupp/partsupp.tbloss://xxx/tpch_100m/region/region.tbloss://xxx/tpch_100m/supplier/supplier.tbl
https://openanalytics.console.aliyun.com/
点击“登录数据库”，输入开通服务时分配的用户名和密码，登录Data Lake Analytics控制台。
输入创建SCHEMA的语句，点击“同步执行”。
CREATE SCHEMA tpch_100m with DBPROPERTIES( LOCATION = 'oss://test-bucket-julian-1/tpch_100m/', catalog='oss');
（注意：目前在同一个阿里云region，Data Lake Analytics的schema名全局唯一，建议schema名尽量根据业务定义，已有重名schema，在创建时会提示报错，则请换一个schema名字。）
Schema创建好后，在“数据库”的下拉框中，选择刚刚创建的schema。然后在SQL文本框中输入建表语句，点击同步执行。
建表语句语法参考：https://help.aliyun.com/document_detail/72006.html
TPC-H对应的8个表的建表语句如下，分别贴入文档框中执行（LOCATION子句中的数据文件位置请根据您的实际OSS bucket目录相应修改）。（注意：目前控制台中还不支持多个SQL语句执行，请单条语句执行。）
CREATE EXTERNAL TABLE nation ( N_NATIONKEY INT, N_NAME STRING, N_ID STRING, N_REGIONKEY INT, N_COMMENT STRING) ROW FORMAT DELIMITED FIELDS TERMINATED BY '|' STORED AS TEXTFILE LOCATION 'oss://test-bucket-julian-1/tpch_100m/nation';CREATE EXTERNAL TABLE lineitem ( L_ORDERKEY INT, L_PARTKEY INT, L_SUPPKEY INT, L_LINENUMBER INT, L_QUANTITY DOUBLE, L_EXTENDEDPRICE DOUBLE, L_DISCOUNT DOUBLE, L_TAX DOUBLE, L_RETURNFLAG STRING, L_LINESTATUS STRING, L_SHIPDATE DATE, L_COMMITDATE DATE, L_RECEIPTDATE DATE, L_SHIPINSTRUCT STRING, L_SHIPMODE STRING, L_COMMENT STRING) ROW FORMAT DELIMITED FIELDS TERMINATED BY '|' STORED AS TEXTFILE LOCATION 'oss://test-bucket-julian-1/tpch_100m/lineitem';CREATE EXTERNAL TABLE orders ( O_ORDERKEY INT, O_CUSTKEY INT, O_ORDERSTATUS STRING, O_TOTALPRICE DOUBLE, O_ORDERDATE DATE, O_ORDERPRIORITY STRING, O_CLERK STRING, O_SHIPPRIORITY INT, O_COMMENT STRING) ROW FORMAT DELIMITED FIELDS TERMINATED BY '|' STORED AS TEXTFILE LOCATION 'oss://test-bucket-julian-1/tpch_100m/orders';CREATE EXTERNAL TABLE supplier ( S_SUPPKEY INT, S_NAME STRING, S_ADDRESS STRING, S_NATIONKEY INT, S_PHONE STRING, S_ACCTBAL DOUBLE, S_COMMENT STRING) ROW FORMAT DELIMITED FIELDS TERMINATED BY '|' STORED AS TEXTFILE LOCATION 'oss://test-bucket-julian-1/tpch_100m/supplier';CREATE EXTERNAL TABLE partsupp ( PS_PARTKEY INT, PS_SUPPKEY INT, PS_AVAILQTY INT, PS_SUPPLYCOST DOUBLE, PS_COMMENT STRING) ROW FORMAT DELIMITED FIELDS TERMINATED BY '|' STORED AS TEXTFILE LOCATION 'oss://test-bucket-julian-1/tpch_100m/partsupp';CREATE EXTERNAL TABLE customer ( C_CUSTKEY INT, C_NAME STRING, C_ADDRESS STRING, C_NATIONKEY INT, C_PHONE STRING, C_ACCTBAL DOUBLE, C_MKTSEGMENT STRING, C_COMMENT STRING) ROW FORMAT DELIMITED FIELDS TERMINATED BY '|' STORED AS TEXTFILE LOCATION 'oss://test-bucket-julian-1/tpch_100m/customer';CREATE EXTERNAL TABLE part ( P_PARTKEY INT, P_NAME STRING, P_MFGR STRING, P_BRAND STRING, P_TYPE STRING, P_SIZE INT, P_CONTAINER STRING, P_RETAILPRICE DOUBLE, P_COMMENT STRING) ROW FORMAT DELIMITED FIELDS TERMINATED BY '|' STORED AS TEXTFILE LOCATION 'oss://test-bucket-julian-1/tpch_100m/part';CREATE EXTERNAL TABLE region ( R_REGIONKEY INT, R_NAME STRING, R_COMMENT STRING) ROW FORMAT DELIMITED FIELDS TERMINATED BY '|' STORED AS TEXTFILE LOCATION 'oss://test-bucket-julian-1/tpch_100m/region';
查看更多
建表完毕后，刷新页面，在左边导航条中能看到schema下的8张表。
TPC-H总共22条查询，如下：
Q1:
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_orderFROM lineitemWHERE l_shipdate <= date '1998-12-01' - INTERVAL '93' dayGROUP BY l_returnflag, l_linestatusORDER BY l_returnflag, l_linestatusLIMIT 1;
查看更多
Q2:
SELECT s_acctbal, s_name, n_name, p_partkey, p_mfgr, s_address, s_phone, s_commentFROM part, supplier, partsupp, nation, regionWHERE p_partkey = ps_partkeyAND s_suppkey = ps_suppkeyAND p_size = 35AND p_type LIKE '%NICKEL'AND s_nationkey = n_nationkeyAND n_regionkey = r_regionkeyAND r_name = 'MIDDLE EAST'
查看更多
Q3:
SELECT l_orderkey, Sum(l_extendedprice * (1 - l_discount)) AS revenue, o_orderdate, o_shippriorityFROM customer, orders, lineitemWHERE c_mktsegment = 'AUTOMOBILE'AND c_custkey = o_custkeyAND l_orderkey = o_orderkeyAND o_orderdate < date '1995-03-31'AND l_shipdate > date '1995-03-31'GROUP BY l_orderkey, o_orderdate, o_shippriorityORDER BY revenue DESC, o_orderdateLIMIT 10;
Q4:
SELECT o_orderpriority, Count(*) AS order_countFROM orders, lineitemWHERE o_orderdate >= date '1997-10-01'AND o_orderdate < date '1997-10-01' + INTERVAL '3' monthAND l_orderkey = o_orderkeyAND l_commitdate < l_receiptdateGROUP BY o_orderpriorityORDER BY o_orderpriorityLIMIT 1;
Q5:
SELECT n_name, Sum(l_extendedprice * (1 - l_discount)) AS revenueFROM customer, orders, lineitem, supplier, nation, regionWHERE c_custkey = o_custkeyAND l_orderkey = o_orderkeyAND l_suppkey = s_suppkeyAND c_nationkey = s_nationkeyAND s_nationkey = n_nationkeyAND n_regionkey = r_regionkeyAND r_name = 'ASIA'AND o_orderdate >= date '1995-01-01'AND o_orderdate < date '1995-01-01' + INTERVAL '1' yearGROUP BY n_nameORDER BY revenue DESCLIMIT 1;
Q6:
SELECT sum(l_extendedprice * l_discount) AS revenueFROM lineitemWHERE l_shipdate >= date '1995-01-01'AND l_shipdate < date '1995-01-01' + interval '1' yearAND l_discount between 0.04 - 0.01 AND 0.04 + 0.01AND l_quantity < 24LIMIT 1;
Q7:
SELECT supp_nation, cust_nation, l_year, Sum(volume) AS revenueFROM ( 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 = 'GERMANY' AND n2.n_name = 'INDIA') OR ( n1.n_name = 'INDIA' AND n2.n_name = 'GERMANY') ) AND l_shipdate BETWEEN date '1995-01-01' AND date '1996-12-31' ) AS shippingGROUP BY supp_nation, cust_nation, l_yearORDER BY supp_nation, cust_nation, l_yearLIMIT 1;
查看更多
Q8:
SELECT o_year, Sum( CASE WHEN nation = 'INDIA' THEN volume ELSE 0 end) / Sum(volume) AS mkt_shareFROM ( 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 = 'ASIA' AND s_nationkey = n2.n_nationkey AND o_orderdate BETWEEN date '1995-01-01' AND date '1996-12-31' AND p_type = 'STANDARD ANODIZED STEEL' ) AS all_nationsGROUP BY o_yearORDER BY o_yearLIMIT 1;
查看更多
Q9:
SELECT nation, o_year, Sum(amount) AS sum_profitFROM ( 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 '%aquamarine%' ) AS profitGROUP BY nation, o_yearORDER BY nation, o_year DESCLIMIT 1;
查看更多
Q10:
SELECT c_custkey, c_name, Sum(l_extendedprice * (1 - l_discount)) AS revenue, c_acctbal, n_name, c_address, c_phone, c_commentFROM customer, orders, lineitem, nationWHERE c_custkey = o_custkeyAND l_orderkey = o_orderkeyAND o_orderdate >= date '1994-08-01'AND o_orderdate < date '1994-08-01' + INTERVAL '3' monthAND l_returnflag = 'R'AND c_nationkey = n_nationkeyGROUP BY c_custkey, c_name, c_acctbal, c_phone, n_name, c_address, c_commentORDER BY revenue DESCLIMIT 20;
查看更多
Q11:
SELECT ps_partkey, Sum(ps_supplycost * ps_availqty) AS valueFROM partsupp, supplier, nationWHERE ps_suppkey = s_suppkeyAND s_nationkey = n_nationkeyAND n_name = 'PERU'GROUP BY ps_partkeyHAVING Sum(ps_supplycost * ps_availqty) > (SELECT Sum(ps_supplycost * ps_availqty) * 0.0001000000 as sum_value FROM partsupp, supplier, nation WHERE ps_suppkey = s_suppkey AND s_nationkey = n_nationkey AND n_name = 'PERU')ORDER BY value DESCLIMIT 1;
Q12:
SELECT l_shipmode, sum(case when o_orderpriority = '1-URGENT' or o_orderpriority = '2-HIGH' then 1
else 0end) AS high_line_count, sum(case when o_orderpriority <> '1-URGENT' and o_orderpriority <> '2-HIGH' then 1else 0end) AS low_line_countFROM orders,
lineitemWHERE o_orderkey = l_orderkeyAND l_shipmode in ('MAIL', 'TRUCK')AND l_commitdate < l_receiptdateAND l_shipdate < l_commitdateAND l_receiptdate >= date '1996-01-01'AND l_receiptdate < date '1996-01-01' + interval '1' yearGROUP BY l_shipmodeORDER BY l_shipmodeLIMIT 1;Q13:
SELECT c_count, count(*) AS custdistFROM ( SELECT c_custkey, count(o_orderkey) AS c_count FROM customer, orders WHERE c_custkey = o_custkey AND o_comment NOT LIKE '%pending%accounts%' GROUP BY c_custkey ) AS c_ordersGROUP BY c_countORDER BY custdist DESC, c_count DESCLIMIT 1;
Q14:
SELECT 100.00 * sum(case when p_type like 'PROMO%' then l_extendedprice * (1 - l_discount) else 0end) / sum(l_extendedprice * (1 - l_discount)) AS promo_revenueFROM lineitem, partWHERE l_partkey = p_partkeyAND l_shipdate >= date '1996-01-01'AND l_shipdate < date '1996-01-01' + interval '1' monthLIMIT 1;
Q15:
WITH revenue0 AS (SELECT l_suppkey AS supplier_no, sum(l_extendedprice * (1 - l_discount)) AS total_revenueFROM lineitemWHERE l_shipdate >= date '1993-01-01'AND l_shipdate < date '1993-01-01' + interval '3' monthGROUP BY l_suppkey )SELECT s_suppkey, s_name, s_address, s_phone, total_revenueFROM supplier, revenue0WHERE s_suppkey = supplier_noAND total_revenue IN ( SELECT max(total_revenue) FROM revenue0 )ORDER BY s_suppkey;
Q16:
SELECT p_brand, p_type, p_size, count(distinct ps_suppkey) AS supplier_cntFROM partsupp, partWHERE p_partkey = ps_partkeyAND p_brand <> 'Brand#23'AND p_type NOT LIKE 'PROMO BURNISHED%'AND p_size IN (1, 13, 10, 28, 21, 35, 31, 11)AND ps_suppkey NOT IN ( SELECT s_suppkey FROM supplier WHERE s_comment LIKE '%Customer%Complaints%' )GROUP BY p_brand, p_type, p_sizeORDER BY supplier_cnt DESC, p_brand, p_type, p_sizeLIMIT 1;
Q17:
SELECT sum(l_extendedprice) / 7.0 AS avg_yearlyFROM lineitem, partWHERE p_partkey = l_partkey AND p_brand = 'Brand#44' AND p_container = 'WRAP PKG' AND l_quantity < ( SELECT 0.2 * avg(l_quantity) FROM lineitem, part WHERE l_partkey = p_partkey );
Q18:
SELECT c_name, c_custkey, o_orderkey, o_orderdate, o_totalprice, sum(l_quantity)FROM customer, orders, lineitemWHERE o_orderkey IN ( SELECT l_orderkey FROM lineitem GROUP BY l_orderkey HAVING sum(l_quantity) > 315 )AND c_custkey = o_custkeyAND o_orderkey = l_orderkeyGROUP BY c_name, c_custkey, o_orderkey, o_orderdate, o_totalpriceORDER BY o_totalprice DESC, o_orderdateLIMIT 100;
Q19:
SELECT sum(l_extendedprice* (1 - l_discount)) AS revenueFROM lineitem,
partWHERE ( p_partkey = l_partkey and p_brand = 'Brand#12'
and p_container in ('SM CASE', 'SM BOX', 'SM PACK', 'SM PKG') and l_quantity >= 6 and l_quantity <= 6 + 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#13'
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#24'
and p_container in ('LG CASE', 'LG BOX', 'LG PACK', 'LG PKG') and l_quantity >= 21 and l_quantity <= 21 + 10
and p_size between 1 and 15
and l_shipmode in ('AIR', 'AIR REG') and l_shipinstruct = 'DELIVER IN PERSON' )LIMIT 1;查看更多
Q20:
with temp_table as ( select 0.5 * sum(l_quantity) as col1 from lineitem, partsupp where l_partkey = ps_partkey and l_suppkey = ps_suppkey and l_shipdate >= date '1993-01-01' and l_shipdate < date '1993-01-01' + interval '1' year)select s_name, s_addressfrom supplier, nationwhere s_suppkey in ( select ps_suppkey from partsupp, temp_table where ps_partkey in ( select p_partkey from part where p_name like 'dark%' ) and ps_availqty > temp_table.col1 ) and s_nationkey = n_nationkey and n_name = 'JORDAN'order by s_namelimit 1;
Q21:
select s_name, count(*) as numwaitfrom supplier, lineitem l1, orders, nationwhere 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_nameorder by numwait desc, s_namelimit 100;
查看更多
Q22:
with temp_table_1 as
( select avg(c_acctbal) as avg_value from customer where c_acctbal > 0.00 and substring(c_phone from 1 for 2) in ('33', '29', '37', '35', '25', '27', '43')
),
temp_table_2 as( select count(*) as count1 from orders, customer where o_custkey = c_custkey
)select cntrycode, count(*) as numcust, sum(c_acctbal) as totacctbalfrom ( select substring(c_phone from 1 for 2) as cntrycode, c_acctbal from customer, temp_table_1, temp_table_2 where substring(c_phone from 1
for 2) in ('33', '29', '37', '35', '25', '27', '43') and c_acctbal > temp_table_1.avg_value and temp_table_2.count1 = 0) as custsalegroup by cntrycodeorder by cntrycodelimit 1;Data Lake Analytics支持“同步执行”模式和“异步执行”模式。“同步执行”模式下，控制台界面等待执行结果返回；“异步执行”模式下，立刻返回查询任务的ID。
点击“执行状态”，可以看到该异步查询任务的执行状态，主要分为：“RUNNING”，“SUCCESS”，“FAILURE”。
点击“刷新”，当STATUS变为“SUCCESS”时，表示查询成功，同时可查看查询耗时“ELAPSE_TIME”和查询扫描的数据字节数“SCANNED_DATA_BYTES”。
点击“执行历史”，可以看到您执行的查询的历史详细信息，包括：
1）查询语句；
2）查询耗时与执行具体时间；
3）查询结果返回行数；
4）查询状态；
5）查询扫描的字节数；
6）结果集回写到的目标OSS文件（Data Lake Analytics会将查询结果集保存用户的bucket中）。
查询结果文件自动上传到用户同region的OSS bucket中，其中包括结果数据文件和结果集元数据描述文件。
{QueryLocation}/{query_name}|Unsaved}/{yyyy}/{mm}/{dd}/{query_id}/xxx.csv
{QueryLocation}/{query_name}|Unsaved}/{yyyy}/{mm}/{dd}/{query_id}/xxx.csv.metadata其中QueryLocation为：
aliyun-oa-query-results-<your_account_id>-<oss_region>
看完上述内容是否对您有帮助呢？如果还想对相关知识有进一步的了解或阅读更多相关文章，请关注亿速云行业资讯频道，感谢您对亿速云的支持。
免责声明：本站发布的内容（图片、视频和文字）以原创、转载和分享为主，文章观点不代表本网站立场，如果涉及侵权请联系站长邮箱：is@yisu.com进行举报，并提供相关证据，一经查实，将立刻删除涉嫌侵权内容。
