教程：使用DataLakeAnalytics+OSS分析CSV格式的TPC-H資料集

julian.zhou發表於2018-08-07

0. Data Lake Analytics（DLA）簡介

關於Data Lake的概念，更多閱讀可以參考：
https://en.wikipedia.org/wiki/Data_lake

以及AWS和Azure關於Data Lake的解讀：
https://amazonaws-china.com/big-data/datalakes-and-analytics/what-is-a-data-lake/
https://azure.microsoft.com/en-us/solutions/data-lake/

終於，阿里雲現在也有了自己的資料湖分析產品：https://www.aliyun.com/product/datalakeanalytics

可以點選申請使用（目前公測階段還屬於邀測模式，我們會盡快審批申請），體驗本教程的TPC-H CSV資料格式的資料分析之旅。

產品文件：https://help.aliyun.com/product/70174.html

1. 開通Data Lake Analytics與OSS服務

如果您已經開通，可以跳過該步驟。如果沒有開通，可以參考：https://help.aliyun.com/document_detail/70386.html
進行產品開通服務申請。

2. 下載TPC-H測試資料集

可以從這下載TPC-H 100MB的資料集：
https://public-datasets-cn-hangzhou.oss-cn-hangzhou.aliyuncs.com/tpch_100m_data.zip

3. 上傳資料檔案到OSS

登入阿里雲官網的OSS控制檯：https://oss.console.aliyun.com/overview
規劃您要使用的OSS bucket，建立或選擇好後，點選“檔案管理”，因為有8個資料檔案，為每個資料檔案建立對應的檔案目錄：

image.png | left

建立好8個目錄如下：

image.png | left

點選進入目錄，上傳相應的資料檔案，例如，customer目錄，則上傳customer.tbl檔案。

image.png | left

上傳好後，如下圖。然後，依次把其他7個資料檔案也上傳到對應的目錄下。

image.png | left

至此，8個資料檔案都上傳到了您的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. 登入Data Lake Analytics控制檯

https://openanalytics.console.aliyun.com/
點選“登入資料庫”，輸入開通服務時分配的使用者名稱和密碼，登入Data Lake Analytics控制檯。

5. 建立Schema和Table

輸入建立SCHEMA的語句，點選“同步執行”。

CREATE SCHEMA tpch_100m with DBPROPERTIES(
  LOCATION = `oss://test-bucket-julian-1/tpch_100m/`,
  catalog=`oss`
);

（注意：目前在同一個阿里雲region，Data Lake Analytics的schema名全域性唯一，建議schema名儘量根據業務定義，已有重名schema，在建立時會提示報錯，則請換一個schema名字。）

Schema建立好後，在“資料庫”的下拉框中，選擇剛剛建立的schema。然後在SQL文字框中輸入建表語句，點選同步執行。
建表語句語法參考：https://help.aliyun.com/document_detail/72006.html

image.png | left

TPC-H對應的8個表的建表語句如下，分別貼入文件框中執行（LOCATION子句中的資料檔案位置請根據您的實際OSS bucket目錄相應修改）。（注意：目前控制檯中還不支援多個SQL語句執行，請單條語句執行。）

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`;

建表完畢後，重新整理頁面，在左邊導航條中能看到schema下的8張表。

image.png | left

6. 執行TPC-H查詢

TPC-H總共22條查詢，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. 非同步執行查詢

Data Lake Analytics支援“同步執行”模式和“非同步執行”模式。“同步執行”模式下，控制檯介面等待執行結果返回；“非同步執行”模式下，立刻返回查詢任務的ID。

image.png | left

點選“執行狀態”，可以看到該非同步查詢任務的執行狀態，主要分為：“RUNNING”，“SUCCESS”，“FAILURE”。

image.png | left

點選“重新整理”，當STATUS變為“SUCCESS”時，表示查詢成功，同時可檢視查詢耗時“ELAPSE_TIME”和查詢掃描的資料位元組數“SCANNED_DATA_BYTES”。

image.png | left

8. 檢視查詢歷史

點選“執行歷史”，可以看到您執行的查詢的歷史詳細資訊，包括：
1）查詢語句；
2）查詢耗時與執行具體時間；
3）查詢結果返回行數；
4）查詢狀態；
5）查詢掃描的位元組數；
6）結果集回寫到的目標OSS檔案（Data Lake Analytics會將查詢結果集儲存使用者的bucket中）。

image.png | left

查詢結果檔案自動上傳到使用者同region的OSS bucket中，其中包括結果資料檔案和結果集後設資料描述檔案。

{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為：

aliyun-oa-query-results-<your_account_id>-<oss_region>

image.png | left

9. 後續

至此，本教程一步一步教您如何利用Data Lake Analytics雲產品分析您OSS上的CSV格式的資料檔案。除了CSV檔案外，Data Lake Analytics還支援Parquet、ORC、json、RCFile、AVRO等多種格式檔案的資料分析能力。特別是Parquet、ORC，相比CSV檔案，有極大的效能和成本優勢（同樣內容的資料集，擁有更小的儲存空間、更快的查詢效能，這也意味著更低的分析成本）。
後續陸續會有更多教程和文章，手把手教您輕鬆使用Data Lake Analytics進行資料湖上資料分析和探索，開啟您的雲上低成本、即存即用的資料分析和探索之旅。
G

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教程：使用DataLakeAnalytics+OSS分析CSV格式的TPC-H資料集

0. Data Lake Analytics（DLA）簡介

1. 開通Data Lake Analytics與OSS服務

2. 下載TPC-H測試資料集

3. 上傳資料檔案到OSS

4. 登入Data Lake Analytics控制檯

5. 建立Schema和Table

6. 執行TPC-H查詢

7. 非同步執行查詢

8. 檢視查詢歷史

9. 後續

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