注意：pig中用run或者exec 运行脚本。除了cd和ls，其他命令不用。在本代码中用rm和mv命令做例子，容易出错。

另外，pig只有在store或dump时候才会真正加载数据，否则，只是加载代码，不具体操作数据。所以在rm操作时必须注意该文件是否已经生成。如果rm的文件为生成，可以第三文件，进行mv改名操作

SET job.name 'test_age_reporth_istorical';-- 定义任务名字，在http://172.XX.XX.XX:50030/jobtracker.jsp中查看任务状态，失败成功。

SET job.priority HIGH;--优先级

--注册jar包，用于读取sequence file和输出分析结果文件

REGISTER piggybank.jar;

DEFINE SequenceFileLoader org.apache.pig.piggybank.storage.SequenceFileLoader(); --读取二进制文件，函数名定义

%default Cleaned_Log /user/C/data/XXX/cleaned/$date/*/part* --$date是外部传入参数

%default AD_Data /user/XXX/data/xxx/metadata/ad/part*

%default Campaign_Data /user/xxx/data/xxx/metadata/campaign/part*

%default Social_Data /user/xxx/data/report/socialdata/part*

--所有的输出文件路径：

%default Industry_Path $file_path/report/historical/age/$year/industry

%default Industry_SUM $file_path/report/historical/age/$year/industry_sum

%default Industry_TMP $file_path/report/historical/age/$year/industry_tmp

%default Industry_Brand_Path $file_path/report/historical/age/$year/industry_brand

%default Industry_Brand_SUM $file_path/report/historical/age/$year/industry_brand_sum

%default Industry_Brand_TMP $file_path/report/historical/age/$year/industry_brand_tmp

%default ALL_Path $file_path/report/historical/age/$year/all

%default ALL_SUM $file_path/report/historical/age/$year/all_sum

%default ALL_TMP $file_path/report/historical/age/$year/all_tmp

%default output_path /user/xxx/tmp/result

origin_cleaned_data = LOAD '$Cleaned_Log' USING PigStorage(',') --读取日志文件

AS (ad_network_id:chararray,

    xxx_ad_id:chararray,

    guid:chararray,

    id:chararray,

    create_time:chararray,

    action_time:chararray,

    log_type:chararray, 

    ad_id:chararray,

    positioning_method:chararray,

    location_accuracy:chararray,

    lat:chararray, 

    lon:chararray,

    cell_id:chararray,

    lac:chararray,

    mcc:chararray,

    mnc:chararray,

    ip:chararray,

    connection_type:chararray,

    android_id:chararray,

    android_advertising_id:chararray,

    openudid:chararray,

    mac_address:chararray,

    uid:chararray,

    density:chararray,

    screen_height:chararray,

    screen_width:chararray,

    user_agent:chararray,

    app_id:chararray,

    app_category_id:chararray,

    device_model_id:chararray,

    carrier_id:chararray,

    os_id:chararray,

    device_type:chararray,

    os_version:chararray,

    country_region_id:chararray,

    province_region_id:chararray,

    city_region_id:chararray,

    ip_lat:chararray,

    ip_lon:chararray,

    quadkey:chararray);

--loading metadata/ad(adId,campaignId) 

metadata_ad = LOAD '$AD_Data' USING PigStorage(',') AS (adId:chararray, campaignId:chararray);

--loading metadata/campaignæ•°æ®(campaignId, industryId, brandId)

metadata_campaign = LOAD '$Campaign_Data' USING PigStorage(',') AS (campaignId:chararray, industryId:chararray, brandId:chararray);

--ad and campaign for inner join

joinAdCampaignByCampaignId = JOIN metadata_ad BY campaignId,metadata_campaign BY campaignId;--(adId,campaignId,campaignId,industryId,brandId)

--filtering out redundant column of joinAdCampaignByCampaignId

joined_ad_campaign_data = FOREACH joinAdCampaignByCampaignId GENERATE $0 AS adId,$3 AS industryId,$4 AS brandId; --(adId,industryId,brandId)

--extract column for analyzing

origin_historical_age = FOREACH origin_cleaned_data GENERATE xxx_ad_id,guid,log_type;--(xxx_ad_id,guid,log_type)

--distinct

distinct_origin_historical_age = DISTINCT origin_historical_age;--(xxx_ad_id,guid,log_type)

--loading metadata_region(guid_social, sex, age, income, edu, hobby)

metadata_social = LOAD '$Social_Data' USING PigStorage(',') AS (guid_social:chararray, sex:chararray, age:chararray, income:chararray, edu:chararray, hobby:chararray);

--extract needed column in metadata_social

social_age = FOREACH metadata_social GENERATE guid_social,age;

--join socialData(metadata_social) and logData(distinct_origin_historical_age):

joinedByGUID = JOIN social_age BY guid_social, distinct_origin_historical_age BY guid;

--(guid_social, age; xxx_ad_id,guid,log_type)

--generating analyzing age data

joined_orgin_age_data = FOREACH joinedByGUID GENERATE xxx_ad_id,guid,log_type,age;

joinedByAdId = JOIN joined_ad_campaign_data BY adId, joined_orgin_age_data BY xxx_ad_id; --(adId,industryId,brandId,xxx_ad_id,guid,log_type,age)

--filtering

all_current_data = FOREACH joinedByAdId GENERATE guid,log_type,industryId,brandId,age; --(guid,log_type,industryId,brandId,age)

--for industry analyzing

industry_current_data = FOREACH all_current_data GENERATE industryId,guid,age,log_type;  --(industryId,guid,age,log_type)

--load all in the path "industry"

industry_existed_Data = LOAD '$Industry_Path' USING PigStorage(',') AS (industryId:chararray,guid:chararray,age:chararray,log_type:chararray);

--merge with history data 

union_Industry = UNION industry_existed_Data, industry_current_data;

distict_union_industry = DISTINCT union_Industry;

group_industry = GROUP distict_union_industry BY ($2,$0,$3);

count_guid_for_industry = FOREACH group_industry GENERATE FLATTEN(group),COUNT($1.$1);

rm $Industry_SUM;

STORE count_guid_for_industry INTO '$Industry_SUM' USING PigStorage(',');

--storing union industry data(current and history)

STORE distict_union_industry INTO '$Industry_TMP' USING PigStorage(',');

rm $Industry_Path

mv $Industry_TMP $Industry_Path

--counting guid for industry and brand 

industry_brand_current = FOREACH all_current_data GENERATE age,industryId,brandId,log_type,guid;

--(age,industryId,brandId,log_type,guid)

--load history data of industry_brand

industry_brand_history = LOAD '$Industry_Brand_Path' USING PigStorage(',') AS(age:chararray, industryId:chararray, brandId:chararray, log_type:chararray, guid:chararray);

--union all data of industry_brand

union_industry_brand = UNION industry_brand_current,industry_brand_history;

unique_industry_brand = DISTINCT union_industry_brand;

--(age,industryId,brandId,log_type,guid)

--counting users' number for industry and brand

group_industry_brand = GROUP unique_industry_brand BY ($0,$1,$2,$3);

count_guid_for_industry_brand = FOREACH group_industry_brand GENERATE FLATTEN(group),COUNT($1.$4);

rm $Industry_Brand_SUM;

STORE count_guid_for_industry_brand INTO '$Industry_Brand_SUM' USING PigStorage(',');

STORE unique_industry_brand INTO '$Industry_Brand_TMP' USING PigStorage(',');

rm $Industry_Brand_Path;

mv $Industry_Brand_TMP $Industry_Brand_Path

--counting user number for age and logtype

current_data = FOREACH all_current_data GENERATE age,log_type,guid;--(age,log_type,guid)

--load history data of age and logtype

history_data = LOAD '$ALL_Path' USING PigStorage(',') AS(age:chararray,log_type:chararray,guid:chararray);

--union current and history data

union_all_data = UNION history_data, current_data;

unique_all_data = DISTINCT union_all_data;

--count users' number

group_all_data = GROUP unique_all_data BY ($0,$1);

count_guid_for_age_logtype = FOREACH group_all_data GENERATE FLATTEN(group),COUNT($1.$2);

rm $ALL_SUM;

STORE count_guid_for_age_logtype INTO '$ALL_SUM' USING PigStorage(',');

STORE unique_all_data INTO '$ALL_TMP' USING PigStorage(',');

rm $ALL_Path

mv $ALL_TMP $ALL_Path