使用Data Lake Analytics + OSS分析CSV格式的TPC-H數據集

時間 2019-12-08

標籤使用 data lake analytics oss 分析 csv 格式 tpc 數據简体版

原文原文鏈接

0. Data Lake Analytics（DLA）簡介

關於Data Lake的概念，更多閱讀能夠參考：
https://en.wikipedia.org/wiki/Data_lakehtml

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/數據庫

終於，阿里雲如今也有了本身的數據湖分析產品：https://www.aliyun.com/product/datalakeanalyticsjson

能夠點擊申請使用（目前公測階段還屬於邀測模式，咱們會盡快審批申請），體驗本教程的TPC-H CSV數據格式的數據分析之旅。微信

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

1. 開通Data Lake Analytics與OSS服務

若是您已經開通，能夠跳過該步驟。若是沒有開通，能夠參考：https://help.aliyun.com/document_detail/70386.html
進行產品開通服務申請。性能

2. 下載TPC-H測試數據集

能夠從這下載TPC-H 100MB的數據集：
https://public-datasets-cn-hangzhou.oss-cn-hangzhou.aliyuncs.com/tpch_100m_data.zip測試

3. 上傳數據文件到OSS

登陸阿里雲官網的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，點擊「文件管理」，由於有8個數據文件，爲每一個數據文件建立對應的文件目錄：阿里雲

建立好8個目錄以下：spa

點擊進入目錄，上傳相應的數據文件，例如，customer目錄，則上傳customer.tbl文件。code

上傳好後，以下圖。而後，依次把其餘7個數據文件也上傳到對應的目錄下。

至此，8個數據文件都上傳到了您的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. 登陸Data Lake Analytics控制檯

https://openanalytics.console.aliyun.com/
點擊「登陸數據庫」，輸入開通服務時分配的用戶名和密碼，登陸Data Lake Analytics控制檯。

5. 建立Schema和Table

輸入建立SCHEMA的語句，點擊「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名全局惟一，建議schema名儘可能根據業務定義，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「數據庫」的下拉框中，選擇剛剛建立的schema。而後在SQL文本框中輸入建表語句，點擊同步執行。
建表語句語法參考：https://help.aliyun.com/document_detail/72006.html

TPC-H對應的8個表的建表語句以下，分別貼入文檔框中執行（LOCATION子句中的數據文件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持多個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，刷新頁面，在左邊導航條中能看到schema下的8張表。

6. 執行TPC-H查詢

TPC-H總共22條查詢，以下：
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. 異步執行查詢

Data Lake Analytics支持「同步執行」模式和「異步執行」模式。「同步執行」模式下，控制檯界面等待執行結果返回；「異步執行」模式下，馬上返回查詢任務的ID。

點擊「執行狀態」，能夠看到該異步查詢任務的執行狀態，主要分爲：「RUNNING」，「SUCCESS」，「FAILURE」。

點擊「刷新」，當STATUS變爲「SUCCESS」時，表示查詢成功，同時可查看查詢耗時「ELAPSE_TIME」和查詢掃描的數據字節數「SCANNED_DATA_BYTES」。

8. 查看查詢歷史

點擊「執行歷史」，能夠看到您執行的查詢的歷史詳細信息，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）查詢掃描的字節數；
6）結果集回寫到的目標OSS文件（Data Lake Analytics會將查詢結果集保存用戶的bucket中）。

查詢結果文件自動上傳到用戶同region的OSS bucket中，其中包括結果數據文件和結果集元數據描述文件。

{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爲：

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

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格式的數據文件。除了CSV文件外，Data Lake Analytics還支持Parquet、ORC、json、RCFile、AVRO等多種格式文件的數據分析能力。特別是Parquet、ORC，相比CSV文件，有極大的性能和成本優點（一樣內容的數據集，擁有更小的存儲空間、更快的查詢性能，這也意味着更低的分析成本）。
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進行數據湖上數據分析和探索，開啓您的雲上低成本、即存即用的數據分析和探索之旅。

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