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use emr_doppler;
set hive.exec.compress.output=true;
set mapred.output.compression.codec=org.apache.hadoop.io.compress.GzipCodec;
set mapred.max.split.size=536870912;
set mapred.min.split.size.per.node=536870912;
set mapred.min.split.size.per.rack=536870912;
set mapreduce.map.memory.mb=2048;
set mapreduce.reduce.memory.mb=3072;
set hive.map.aggr = true;
set hive.map.aggr = true;
set hive.optimize.skewjoin=true;
-- ALTER TABLE emr_doppler.player_checkpoint_daily SET LOCATION 's3://mob-emr-test/dataplatform/emr/player_checkpoint_daily';
-- ALTER TABLE emr_doppler.player_checkpoint SET LOCATION 's3://mob-emr-test/dataplatform/emr/player_checkpoint';
ALTER TABLE player_checkpoint_daily
ADD IF NOT EXISTS PARTITION (dt = '${part_pre1_path}') LOCATION 's3://mob-emr-test/dataplatform/emr/${pre1_dateslash}/player_checkpoint';
ALTER TABLE player_checkpoint
ADD IF NOT EXISTS PARTITION (dt = '${part_pre1_path}') LOCATION 's3://mob-emr-test/dataplatform/emr/${pre1_dateslash}/player_checkpoint';
INSERT overwrite table player_checkpoint_7days
SELECT game_id,
player_id,
SUM(revenue) AS revenue_week,
SUM(sum_session_length) AS sum_session_length_week,
SUM(count_session_length) AS count_session_length_week,
count(*) AS days_played_week
FROM player_checkpoint_daily
WHERE dt <= '${part_pre1_path}'
AND dt > '${part_pre8_path}'
GROUP BY game_id, player_id;
INSERT overwrite table player_checkpoint_30days
SELECT game_id,
player_id,
SUM(revenue) AS revenue_month,
SUM(sum_session_length) AS sum_session_length_month,
SUM(count_session_length) AS count_session_length_month,
count(*) AS days_played_month
FROM player_checkpoint_daily
WHERE dt <= '${part_pre1_path}'
AND dt > '${part_pre31_path}'
GROUP BY game_id, player_id;
INSERT overwrite table player_checkpoint_tmp
select t1.game_id,
t1.checkpoint,
t1.player_id,
t1.user_id,
t1.is_payer,
t1.is_day_payer,
t1.first_payed,
t1.installed,
t1.install_publisher,
t1.install_site,
t1.install_campaign,
t1.install_adgroup,
t1.install_ad,
t1.install_keyword,
t1.is_acquired,
t1.revenue,
t1.count_transaction_num,
t1.min_transaction_num,
t1.max_transaction_num,
t1.country_code,
t1.facebook_id,
t1.ios_id,
t1.ios_idfa,
t1.ios_idfv,
t1.android_id,
t1.google_aid,
t1.googleplus_id,
t1.is_ad_tracking_limited,
t1.is_logged_gamecenter,
t1.is_logged_googleplay,
t1.gender,
t1.birth_year,
t1.sdk_version,
t1.engine_version,
t1.os_version,
t1.manufacturer,
t1.device,
t1.platform,
t1.build,
t1.connection_type,
t1.is_jailbroken,
t1.count_session_length,
t1.min_session_length,
t1.max_session_length,
t1.sum_session_length,
t1.sum2_session_length,
t1.min_session_num,
t1.max_session_num,
t1.count_event,
t1.count_transaction,
t1.count_debug_error,
t1.count_info_error,
t1.count_warning_error,
t1.count_error_error,
t1.count_critical_error,
t7.revenue_week,
t30.revenue_month,
t7.sum_session_length_week,
t30.sum_session_length_month,
t7.count_session_length_week,
t30.count_session_length_month,
t7.days_played_week,
t30.days_played_month
from player_checkpoint_${date_str_undline} t1
join player_checkpoint_7days t7 on (t1.game_id = t7.game_id and t1.player_id = t7.player_id)
join player_checkpoint_30days t30 on (t1.game_id = t30.game_id and t1.player_id = t30.player_id);
insert overwrite table player_checkpoint partition (dt = '${part_pre1_path}')
select coalesce(t2.game_id, t1.game_id),
coalesce(t2.checkpoint, t1.checkpoint),
coalesce(t2.player_id, t1.player_id),
coalesce(t2.user_id, t1.user_id),
coalesce(t2.is_payer, t1.is_payer),
coalesce(t2.is_day_payer, t1.is_day_payer),
coalesce(t2.first_payed, t1.first_payed),
coalesce(t2.installed, t1.installed),
coalesce(t2.install_publisher, t1.install_publisher),
coalesce(t2.install_site, t1.install_site),
coalesce(t2.install_campaign, t1.install_campaign),
coalesce(t2.install_adgroup, t1.install_adgroup),
coalesce(t2.install_ad, t1.install_ad),
coalesce(t2.install_keyword, t1.install_keyword),
coalesce(t2.is_acquired, t1.is_acquired),
coalesce(t2.revenue, t1.revenue),
coalesce(t2.count_transaction_num, t1.count_transaction_num),
coalesce(t2.min_transaction_num, t1.min_transaction_num),
coalesce(t2.max_transaction_num, t1.max_transaction_num),
coalesce(t2.country_code, t1.country_code),
coalesce(t2.facebook_id, t1.facebook_id),
coalesce(t2.ios_id, t1.ios_id),
coalesce(t2.ios_idfa, t1.ios_idfa),
coalesce(t2.ios_idfv, t1.ios_idfv),
coalesce(t2.android_id, t1.android_id),
coalesce(t2.google_aid, t1.google_aid),
coalesce(t2.googleplus_id, t1.googleplus_id),
coalesce(t2.is_ad_tracking_limited, t1.is_ad_tracking_limited),
coalesce(t2.is_logged_gamecenter, t1.is_logged_gamecenter),
coalesce(t2.is_logged_googleplay, t1.is_logged_googleplay),
coalesce(t2.gender, t1.gender),
coalesce(t2.birth_year, t1.birth_year),
coalesce(t2.sdk_version, t1.sdk_version),
coalesce(t2.engine_version, t1.engine_version),
coalesce(t2.os_version, t1.os_version),
coalesce(t2.manufacturer, t1.manufacturer),
coalesce(t2.device, t1.device),
coalesce(t2.platform, t1.platform),
coalesce(t2.build, t1.build),
coalesce(t2.connection_type, t1.connection_type),
coalesce(t2.is_jailbroken, t1.is_jailbroken),
coalesce(t2.count_session_length, t1.count_session_length),
coalesce(t2.min_session_length, t1.min_session_length),
coalesce(t2.max_session_length, t1.max_session_length),
coalesce(t2.sum_session_length, t1.sum_session_length),
coalesce(t2.sum2_session_length, t1.sum2_session_length),
coalesce(t2.min_session_num, t1.min_session_num),
coalesce(t2.max_session_num, t1.max_session_num),
coalesce(t2.count_event, t1.count_event),
coalesce(t2.count_transaction, t1.count_transaction),
coalesce(t2.count_debug_error, t1.count_debug_error),
coalesce(t2.count_info_error, t1.count_info_error),
coalesce(t2.count_warning_error, t1.count_warning_error),
coalesce(t2.count_error_error, t1.count_error_error),
coalesce(t2.count_critical_error, t1.count_critical_error),
coalesce(t2.revenue_week, t1.revenue_week),
coalesce(t2.revenue_month, t1.revenue_month),
coalesce(t2.sum_session_length_week, t1.sum_session_length_week),
coalesce(t2.sum_session_length_month, t1.sum_session_length_month),
coalesce(t2.count_session_length_week, t1.count_session_length_week),
coalesce(t2.count_session_length_month, t1.count_session_length_month),
coalesce(t2.days_played_week, t1.days_played_week),
coalesce(t2.days_played_month, t1.days_played_month)
from (select * from player_checkpoint where dt = '${part_pre2_path}') t1
full join player_checkpoint_tmp t2 on (t1.game_id = t2.game_id and t1.player_id = t2.player_id);
INSERT overwrite TABLE tmp_daily_export_player_checkpoint_device_stats
SELECT device_id,
platform,
country,
first_seen,
num_transactions,
total_games,
action_games,
arcade_games,
puzzle_games,
adventure_games,
casual_games,
simulation_games,
strategy_games,
educational_games,
family_games,
role_playing_games,
sessions_count_30d,
cast(sum_sessions_30d as float) / cast(sessions_count_30d as float) as session_length_30d,
sessions_count_7d,
cast(sum_sessions_7d as float) / cast(sessions_count_7d as float) as session_length_7d,
sessions_count,
cast(sum_sessions as float) / cast(sessions_count as float) as session_length,
facebook_id,
googleplus_id,
gender,
birth_year,
revenue_week,
revenue_month,
device_purchase
FROM (
SELECT case
when ios_idfa IS NOT NULL then ios_idfa
when google_aid IS NOT NULL then google_aid
end as device_id,
case
when ios_idfa IS NOT NULL then 'iOS'
when google_aid IS NOT NULL then 'Android'
end as platform,
MIN(country_code) as country,
MIN(checkpoint) as first_seen,
SUM(count_transaction) as num_transactions,
COUNT(DISTINCT p.game_id) as total_games,
COUNT(DISTINCT case when c.category = 'Action' then p.game_id end) as action_games,
COUNT(DISTINCT case when c.category = 'Arcade' then p.game_id end) as arcade_games,
COUNT(DISTINCT case when c.category = 'Puzzle' then p.game_id end) as puzzle_games,
COUNT(DISTINCT case when c.category = 'Adventure' then p.game_id end) as adventure_games,
COUNT(DISTINCT case when c.category = 'Casual' then p.game_id end) as casual_games,
COUNT(DISTINCT case when c.category = 'Simulation' then p.game_id end) as simulation_games,
COUNT(DISTINCT case when c.category = 'Strategy' then p.game_id end) as strategy_games,
COUNT(DISTINCT case when c.category = 'Educational' then p.game_id end) as educational_games,
COUNT(DISTINCT case when c.category = 'Family' then p.game_id end) as family_games,
COUNT(DISTINCT case when c.category = 'Role Playing' then p.game_id end) as role_playing_games,
SUM(case
when DATEDIFF('${cur_date}', checkpoint) <= 30
then count_session_length end) as sessions_count_30d,
SUM(case
when DATEDIFF('${cur_date}', checkpoint) <= 30
then sum_session_length end) as sum_sessions_30d,
SUM(case
when DATEDIFF('${cur_date}', checkpoint) <= 7
then count_session_length end) as sessions_count_7d,
SUM(case when DATEDIFF('${cur_date}', checkpoint) <= 7 then sum_session_length end) as sum_sessions_7d,
SUM(count_session_length) as sessions_count,
SUM(sum_session_length) as sum_sessions,
MIN(facebook_id) as facebook_id,
MIN(googleplus_id) as googleplus_id,
MIN(gender) as gender,
MIN(birth_year) as birth_year,
MIN(revenue_week) as revenue_week,
MIN(revenue_month) as revenue_month,
SUM(case when is_day_payer = '01' then 1 when is_day_payer = 'false' then 0 end) as device_purchase
FROM player_checkpoint p
JOIN game_categories c
ON p.game_id = c.game_id
WHERE p.dt = '${part_pre1_path}'
AND cast(p.checkpoint as string) = '${part_pre1_dash}'
AND (ios_idfa IS NOT NULL OR google_aid IS NOT NULL)
GROUP BY case
when ios_idfa IS NOT NULL then ios_idfa
when google_aid IS NOT NULL then google_aid
end,
case
when ios_idfa IS NOT NULL then 'iOS'
when google_aid IS NOT NULL then 'Android'
end
) as p1;
INSERT overwrite TABLE tmp_daily_export_game_fields
SELECT device_id,
AVG(cast(game_sessions as float)) as average_sessions_per_app,
AVG(cast(game_days as float)) as average_days_per_app
FROM (SELECT case
when ios_idfa IS NOT NULL then ios_idfa
when google_aid IS NOT NULL then google_aid
end as device_id,
game_id,
SUM(count_session_length) as game_sessions,
COUNT(DISTINCT checkpoint) as game_days
FROM player_checkpoint p
WHERE dt = '${part_pre1_path}'
and cast(p.checkpoint as string) = '${part_pre1_dash}'
GROUP BY case
when ios_idfa IS NOT NULL then ios_idfa
when google_aid IS NOT NULL then google_aid
end,
game_id
) p
GROUP BY device_id;
DROP TABLE player_device_metrics_${date_str_undline};
CREATE EXTERNAL TABLE `player_device_metrics_${date_str_undline}`
(
`device_id` string,
`platform` string,
`country` string,
`first_seen` date,
`num_transactions` bigint,
`total_games` bigint,
`action_games` bigint,
`arcade_games` bigint,
`puzzle_games` bigint,
`adventure_games` bigint,
`casual_games` bigint,
`simulation_games` bigint,
`strategy_games` bigint,
`educational_games` bigint,
`family_games` bigint,
`role_playing_games` bigint,
`sessions_count_30d` bigint,
`session_length_30d` double,
`sessions_count_7d` bigint,
`session_length_7d` double,
`sessions_count` bigint,
`session_length` double,
`facebook_id` string,
`googleplus_id` string,
`gender` string,
`birth_year` string,
`revenue_week` float,
`revenue_month` float,
`average_sessions_per_app` double,
`average_days_per_app` double,
`device_purchase` bigint
)
ROW FORMAT SERDE
'org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe'
WITH SERDEPROPERTIES (
'field.delim' = '|',
'serialization.format' = '|')
STORED AS INPUTFORMAT
'org.apache.hadoop.mapred.TextInputFormat'
OUTPUTFORMAT
'org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat'
LOCATION
's3://mob-emr-test/dataplatform/datawarehourse/dmp/daily_export/${pre1_dateslash}/device-metrics';
insert overwrite table player_device_metrics_${date_str_undline}
SELECT a.device_id,
a.platform,
a.country,
a.first_seen,
a.num_transactions,
a.total_games,
a.action_games,
a.arcade_games,
a.puzzle_games,
a.adventure_games,
a.casual_games,
a.simulation_games,
a.strategy_games,
a.educational_games,
a.family_games,
a.role_playing_games,
a.sessions_count_30d,
a.session_length_30d,
a.sessions_count_7d,
a.session_length_7d,
a.sessions_count,
a.session_length,
a.facebook_id,
a.googleplus_id,
a.gender,
a.birth_year,
a.revenue_week,
a.revenue_month,
d.average_sessions_per_app,
d.average_days_per_app,
a.device_purchase
FROM tmp_daily_export_player_checkpoint_device_stats a
JOIN tmp_daily_export_game_fields d
ON d.device_id = a.device_id;
-- ALTER TABLE player_store_game SET LOCATION 's3://mob-emr-test/dataplatform/emr/store_game';
INSERT OVERWRITE TABLE all_tmp_game_store
SELECT game_id, store_id
FROM player_store_game WHERE store_id IS NOT NULL;
DROP TABLE player_installation_list_${date_str_undline};
CREATE EXTERNAL TABLE `player_installation_list_${date_str_undline}`
(
`device_id` string,
`platform` string,
`package_name` string,
`store_link` string
)
ROW FORMAT SERDE
'org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe'
WITH SERDEPROPERTIES (
'field.delim' = '|',
'serialization.format' = '|')
STORED AS INPUTFORMAT
'org.apache.hadoop.mapred.TextInputFormat'
OUTPUTFORMAT
'org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat'
LOCATION
's3://mob-emr-test/dataplatform/datawarehourse/dmp/daily_export/${pre1_dateslash}/installation-list';
insert overwrite table player_installation_list_${date_str_undline}
SELECT case
when ios_idfa IS NOT NULL then ios_idfa
when google_aid IS NOT NULL then google_aid
end as device_id,
platform,
store_id as package_name,
case
when LOWER(platform) = 'android' then 'https://play.google.com/store/apps/details?id=' || store_id
when LOWER(platform) = 'ios' then 'https://itunes.apple.com/app/id' || store_id
end as store_link
FROM player_checkpoint pc,
all_tmp_game_store gs
WHERE not (ios_idfa is null and google_aid is null)
AND pc.dt = '${part_pre1_path}'
AND cast(pc.checkpoint as string) = '${part_pre1_dash}'
AND pc.game_id = gs.game_id
AND not gs.store_id is null
GROUP BY case
when ios_idfa IS NOT NULL then ios_idfa
when google_aid IS NOT NULL then google_aid
end,
platform,
gs.store_id;
ALTER TABLE player_checkpoint_ga
SET LOCATION 's3://mob-emr-test/dataplatform/datawarehourse/ga/player_checkpoint_ga';
ALTER TABLE player_checkpoint_ga
ADD IF NOT EXISTS PARTITION (dt = '${part_pre1_path}') LOCATION 's3://mob-emr-test/dataplatform/datawarehourse/ga/player_checkpoint_ga/${part_pre1_path}';
insert overwrite table player_checkpoint_ga partition (dt = '${part_pre1_path}')
select coalesce(max(ios_idfa), max(google_aid), max(android_id)) as dev_id,
max(device) as model,
max(country_code) as country,
max(os_version) as osversion
from player_checkpoint pc
where pc.dt = '${part_pre1_path}'
AND cast(pc.checkpoint as string) = '${part_pre1_dash}'
group by coalesce(ios_idfa, google_aid, android_id);
DROP TABLE dau_device_export_${date_str_undline};
create external table IF NOT EXISTS dau_device_export_${date_str_undline}
(
device_id string,
platform string,
android_id string
)
row format delimited fields terminated by '|'
stored as textfile
location 's3://mob-emr-test/dataplatform/datawarehourse/dmp/daily_export/${pre1_dateslash}/dau-device-data-export';
insert overwrite table dau_device_export_${date_str_undline}
SELECT COALESCE(ios_idfa, google_aid) as device_id,
platform,
case when google_aid is not null then android_id end as android_id
FROM player_checkpoint pc
where pc.dt = '${part_pre1_path}'
AND cast(pc.checkpoint as string) = '${part_pre1_dash}'
and not (ios_idfa is null and google_aid is null);
drop table dau_device_export_${date_str_undline};
DROP TABLE player_device_metrics_${date_str_undline};
DROP table player_installation_list_${date_str_undline};