使用Data Lake Analytics + OSS分析CSV
2019-03-11 本文已影响52人
阿里云技术
0. Data Lake Analytics（DLA）简介
关于Data Lake的概念，更多阅读可以参考：
https://en.wikipedia.org/wiki/Data_lake
以及AWS和Azure关于Data Lake的解读：
https://amazonaws-china.com/big-data/datalakes-and-analytics/what-is-a-data-lake/
https://azure.microsoft.com/en-us/solutions/data-lake/
终于，阿里云现在也有了自己的数据湖分析产品：https://www.aliyun.com/product/datalakeanalytics
可以点击申请使用（目前公测阶段还属于邀测模式，我们会尽快审批申请），体验本教程的TPC-H CSV数据格式的数据分析之旅。
产品文档：https://help.aliyun.com/product/70174.html
1. 开通Data Lake Analytics与OSS服务
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。
2. 下载TPC-H测试数据集
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
3. 上传数据文件到OSS
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.tbl
oss://xxx/tpch_100m/lineitem/lineitem.tbl
oss://xxx/tpch_100m/nation/nation.tbl
oss://xxx/tpch_100m/orders/orders.tbl
oss://xxx/tpch_100m/part/part.tbl
oss://xxx/tpch_100m/partsupp/partsupp.tbl
oss://xxx/tpch_100m/region/region.tbl
oss://xxx/tpch_100m/supplier/supplier.tbl
4. 登录Data Lake Analytics控制台
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。
5. 创建Schema和Table
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';
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。
6. 执行TPC-H查询
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_order
FROM lineitem
WHERE l_shipdate <= date '1998-12-01' - INTERVAL '93' day
GROUP BY l_returnflag,
l_linestatus
ORDER BY l_returnflag,
l_linestatus
LIMIT 1;
Q2:
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 = 35
AND p_type LIKE '%NICKEL'
AND s_nationkey = n_nationkey
AND n_regionkey = r_regionkey
AND r_name = 'MIDDLE EAST'
Q3:
SELECT l_orderkey,
Sum(l_extendedprice * (1 - l_discount)) AS revenue,
o_orderdate,
o_shippriority
FROM customer,
orders,
lineitem
WHERE c_mktsegment = 'AUTOMOBILE'
AND c_custkey = o_custkey
AND l_orderkey = o_orderkey
AND o_orderdate < date '1995-03-31'
AND l_shipdate > date '1995-03-31'
GROUP BY l_orderkey,
o_orderdate,
o_shippriority
ORDER BY revenue DESC,
o_orderdate
LIMIT 10;
Q4:
SELECT o_orderpriority,
Count(*) AS order_count
FROM orders,
lineitem
WHERE o_orderdate >= date '1997-10-01'
AND o_orderdate < date '1997-10-01' + INTERVAL '3' month
AND l_orderkey = o_orderkey
AND l_commitdate < l_receiptdate
GROUP BY o_orderpriority
ORDER BY o_orderpriority
LIMIT 1;
Q5:
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 '1995-01-01'
AND o_orderdate < date '1995-01-01' + INTERVAL '1' year
GROUP BY n_name
ORDER BY revenue DESC
LIMIT 1;
Q6:
SELECT sum(l_extendedprice * l_discount) AS revenue
FROM lineitem
WHERE l_shipdate >= date '1995-01-01'
AND l_shipdate < date '1995-01-01' + interval '1' year
AND l_discount between 0.04 - 0.01 AND 0.04 + 0.01
AND l_quantity < 24
LIMIT 1;
Q7:
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 = '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 shipping
GROUP BY supp_nation,
cust_nation,
l_year
ORDER BY supp_nation,
cust_nation,
l_year
LIMIT 1;
Q8:
SELECT o_year,
Sum(
CASE
WHEN nation = 'INDIA' 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 = '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_nations
GROUP BY o_year
ORDER BY o_year
LIMIT 1;
Q9:
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 '%aquamarine%' ) AS profit
GROUP BY nation,
o_year
ORDER BY nation,
o_year DESC
LIMIT 1;
Q10:
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 '1994-08-01'
AND o_orderdate < date '1994-08-01' + 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;
Q11:
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 = 'PERU'
GROUP BY ps_partkey
HAVING 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 DESC
LIMIT 1;
Q12:
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', 'TRUCK')
AND l_commitdate < l_receiptdate
AND l_shipdate < l_commitdate
AND l_receiptdate >= date '1996-01-01'
AND l_receiptdate < date '1996-01-01' + interval '1' year
GROUP BY l_shipmode
ORDER BY l_shipmode
LIMIT 1;
Q13:
SELECT c_count, count(*) AS custdist
FROM (
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_orders
GROUP BY c_count
ORDER BY custdist DESC, c_count DESC
LIMIT 1;
Q14:
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 '1996-01-01'
AND l_shipdate < date '1996-01-01' + interval '1' month
LIMIT 1;
Q15:
WITH revenue0 AS
(
SELECT l_suppkey AS supplier_no, sum(l_extendedprice * (1 - l_discount)) AS total_revenue
FROM lineitem
WHERE l_shipdate >= date '1993-01-01'
AND l_shipdate < date '1993-01-01' + interval '3' month
GROUP BY l_suppkey
)
SELECT s_suppkey, s_name, s_address, s_phone, total_revenue
FROM supplier, revenue0
WHERE s_suppkey = supplier_no
AND 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_cnt
FROM partsupp,
part
WHERE p_partkey = ps_partkey
AND 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_size
ORDER BY supplier_cnt DESC, p_brand, p_type, p_size
LIMIT 1;
Q17:
SELECT
sum(l_extendedprice) / 7.0 AS avg_yearly
FROM
lineitem,
part
WHERE 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,
lineitem
WHERE o_orderkey IN (
SELECT l_orderkey
FROM lineitem
GROUP BY l_orderkey
HAVING sum(l_quantity) > 315 )
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;
Q19:
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 >= 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;
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_address
from supplier,
nation
where 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_name
limit 1;
Q21:
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;
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 totacctbal
from (
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 custsale
group by cntrycode
order by cntrycode
limit 1;
7. 异步执行查询
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”。
8. 查看查询历史
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>
9. 后续
至此，本教程一步一步教您如何利用Data Lake Analytics云产品分析您OSS上的CSV格式的数据文件。除了CSV文件外，Data Lake Analytics还支持Parquet、ORC、json、RCFile、AVRO等多种格式文件的数据分析能力。特别是Parquet、ORC，相比CSV文件，有极大的性能和成本优势（同样内容的数据集，拥有更小的存储空间、更快的查询性能，这也意味着更低的分析成本）。
后续陆续会有更多教程和文章，手把手教您轻松使用Data Lake Analytics进行数据湖上数据分析和探索，开启您的云上低成本、即存即用的数据分析和探索之旅。
本文作者：julian.zhou
本文为云栖社区原创内容，未经允许不得转载。
