How to replace a sub query using WITH in PostgreSQL to reduce query cost












0















I am trying to get twitter data of narendramodi using below command.



SELECT b.t_id,a.profile_image,b.tweet_text,e.media_media_url,b.retweet_count,b.favorite_count as like_count,count(reply_to_status_id) as reply_count,f.imp_count,f.eng_count,f.eng_rate 
FROM twitter_users a LEFT JOIN twitter_tweets b on a.user_id=b.user_id
LEFT JOIN replies c on b.t_id = c.t_id
LEFT JOIN media e on b.t_id = e.t_id
LEFT JOIN metric_aggregates f on f.metric_timestamp=
(select max(metric_timestamp) FROM twitter_tweet_metric_aggregates g
WHERE g.t_id=f.t_id and g.t_id=b.t_id)
WHERE a.twitter_screen_name= 'narendramodi'
GROUP BY b.t_id,a.profile_image
,b.tweet_text,b.retweet_count,b.favorite_count,
e.media_media_url,f.imp_count,f.eng_count,f.eng_rate);


Query was working correctly But, in the above query I have used sub-select to get recent data of imp_counts of each tweet based on timestamp. Because of this sub-select Query_cost was huge and so it was taking more than 15min for query execution. I want to reduce that and should able to execute within 10seconds. For that reason I was trying to use WITH (CTE) expression



WITH metric_counts AS (
SELECT max(metric_timestamp),f.t_id,f.imp_count,f.eng_count,f.eng_rate
FROM metric_aggregates f LEFT JOIN tweets b on
f.t_id=b.t_id
)
SELECT
b.t_id,a.profile_image,b.tweet_text,e.media_media_url,b.retweet_count
,b.favorite_count as like_count, count(reply_to_status_id) as
reply_count,metric_counts.imp_count
,metric_counts.eng_count,metric_counts.eng_rate
FROM twitter_users as a
LEFT JOIN tweets as b on a.twitter_user_id=b.twitter_user_id
LEFT JOIN replies c on b.t_id = c.t_id
LEFT JOIN media e on b.t_id = e.t_id
LEFT JOIN metric_counts on metric_counts.t_id = b.t_id WHERE
lower(a.twitter_screen_name)=lower('narendramodi')
GROUP BY b.t_id,a.profile_image,b.tweet_text,e.media_media_url,
b.retweet_count,b.favorite_count,
metric_counts.imp_count,metric_counts.eng_count,
metric_counts.eng_rate;


The above WITH expression was giving results of imp_counts also for each tweet but not giving latest record/value. Can anyone help me in achieving this.



Here is the Query cost of WITH query



HashAggregate  (cost=1734856.13..1735618.48 rows=76235 width=673)


So can anyone help me to reduce cost to even lesser but giving results within 15 sec.










share|improve this question



























    0















    I am trying to get twitter data of narendramodi using below command.



    SELECT b.t_id,a.profile_image,b.tweet_text,e.media_media_url,b.retweet_count,b.favorite_count as like_count,count(reply_to_status_id) as reply_count,f.imp_count,f.eng_count,f.eng_rate 
    FROM twitter_users a LEFT JOIN twitter_tweets b on a.user_id=b.user_id
    LEFT JOIN replies c on b.t_id = c.t_id
    LEFT JOIN media e on b.t_id = e.t_id
    LEFT JOIN metric_aggregates f on f.metric_timestamp=
    (select max(metric_timestamp) FROM twitter_tweet_metric_aggregates g
    WHERE g.t_id=f.t_id and g.t_id=b.t_id)
    WHERE a.twitter_screen_name= 'narendramodi'
    GROUP BY b.t_id,a.profile_image
    ,b.tweet_text,b.retweet_count,b.favorite_count,
    e.media_media_url,f.imp_count,f.eng_count,f.eng_rate);


    Query was working correctly But, in the above query I have used sub-select to get recent data of imp_counts of each tweet based on timestamp. Because of this sub-select Query_cost was huge and so it was taking more than 15min for query execution. I want to reduce that and should able to execute within 10seconds. For that reason I was trying to use WITH (CTE) expression



    WITH metric_counts AS (
    SELECT max(metric_timestamp),f.t_id,f.imp_count,f.eng_count,f.eng_rate
    FROM metric_aggregates f LEFT JOIN tweets b on
    f.t_id=b.t_id
    )
    SELECT
    b.t_id,a.profile_image,b.tweet_text,e.media_media_url,b.retweet_count
    ,b.favorite_count as like_count, count(reply_to_status_id) as
    reply_count,metric_counts.imp_count
    ,metric_counts.eng_count,metric_counts.eng_rate
    FROM twitter_users as a
    LEFT JOIN tweets as b on a.twitter_user_id=b.twitter_user_id
    LEFT JOIN replies c on b.t_id = c.t_id
    LEFT JOIN media e on b.t_id = e.t_id
    LEFT JOIN metric_counts on metric_counts.t_id = b.t_id WHERE
    lower(a.twitter_screen_name)=lower('narendramodi')
    GROUP BY b.t_id,a.profile_image,b.tweet_text,e.media_media_url,
    b.retweet_count,b.favorite_count,
    metric_counts.imp_count,metric_counts.eng_count,
    metric_counts.eng_rate;


    The above WITH expression was giving results of imp_counts also for each tweet but not giving latest record/value. Can anyone help me in achieving this.



    Here is the Query cost of WITH query



    HashAggregate  (cost=1734856.13..1735618.48 rows=76235 width=673)


    So can anyone help me to reduce cost to even lesser but giving results within 15 sec.










    share|improve this question

























      0












      0








      0








      I am trying to get twitter data of narendramodi using below command.



      SELECT b.t_id,a.profile_image,b.tweet_text,e.media_media_url,b.retweet_count,b.favorite_count as like_count,count(reply_to_status_id) as reply_count,f.imp_count,f.eng_count,f.eng_rate 
      FROM twitter_users a LEFT JOIN twitter_tweets b on a.user_id=b.user_id
      LEFT JOIN replies c on b.t_id = c.t_id
      LEFT JOIN media e on b.t_id = e.t_id
      LEFT JOIN metric_aggregates f on f.metric_timestamp=
      (select max(metric_timestamp) FROM twitter_tweet_metric_aggregates g
      WHERE g.t_id=f.t_id and g.t_id=b.t_id)
      WHERE a.twitter_screen_name= 'narendramodi'
      GROUP BY b.t_id,a.profile_image
      ,b.tweet_text,b.retweet_count,b.favorite_count,
      e.media_media_url,f.imp_count,f.eng_count,f.eng_rate);


      Query was working correctly But, in the above query I have used sub-select to get recent data of imp_counts of each tweet based on timestamp. Because of this sub-select Query_cost was huge and so it was taking more than 15min for query execution. I want to reduce that and should able to execute within 10seconds. For that reason I was trying to use WITH (CTE) expression



      WITH metric_counts AS (
      SELECT max(metric_timestamp),f.t_id,f.imp_count,f.eng_count,f.eng_rate
      FROM metric_aggregates f LEFT JOIN tweets b on
      f.t_id=b.t_id
      )
      SELECT
      b.t_id,a.profile_image,b.tweet_text,e.media_media_url,b.retweet_count
      ,b.favorite_count as like_count, count(reply_to_status_id) as
      reply_count,metric_counts.imp_count
      ,metric_counts.eng_count,metric_counts.eng_rate
      FROM twitter_users as a
      LEFT JOIN tweets as b on a.twitter_user_id=b.twitter_user_id
      LEFT JOIN replies c on b.t_id = c.t_id
      LEFT JOIN media e on b.t_id = e.t_id
      LEFT JOIN metric_counts on metric_counts.t_id = b.t_id WHERE
      lower(a.twitter_screen_name)=lower('narendramodi')
      GROUP BY b.t_id,a.profile_image,b.tweet_text,e.media_media_url,
      b.retweet_count,b.favorite_count,
      metric_counts.imp_count,metric_counts.eng_count,
      metric_counts.eng_rate;


      The above WITH expression was giving results of imp_counts also for each tweet but not giving latest record/value. Can anyone help me in achieving this.



      Here is the Query cost of WITH query



      HashAggregate  (cost=1734856.13..1735618.48 rows=76235 width=673)


      So can anyone help me to reduce cost to even lesser but giving results within 15 sec.










      share|improve this question














      I am trying to get twitter data of narendramodi using below command.



      SELECT b.t_id,a.profile_image,b.tweet_text,e.media_media_url,b.retweet_count,b.favorite_count as like_count,count(reply_to_status_id) as reply_count,f.imp_count,f.eng_count,f.eng_rate 
      FROM twitter_users a LEFT JOIN twitter_tweets b on a.user_id=b.user_id
      LEFT JOIN replies c on b.t_id = c.t_id
      LEFT JOIN media e on b.t_id = e.t_id
      LEFT JOIN metric_aggregates f on f.metric_timestamp=
      (select max(metric_timestamp) FROM twitter_tweet_metric_aggregates g
      WHERE g.t_id=f.t_id and g.t_id=b.t_id)
      WHERE a.twitter_screen_name= 'narendramodi'
      GROUP BY b.t_id,a.profile_image
      ,b.tweet_text,b.retweet_count,b.favorite_count,
      e.media_media_url,f.imp_count,f.eng_count,f.eng_rate);


      Query was working correctly But, in the above query I have used sub-select to get recent data of imp_counts of each tweet based on timestamp. Because of this sub-select Query_cost was huge and so it was taking more than 15min for query execution. I want to reduce that and should able to execute within 10seconds. For that reason I was trying to use WITH (CTE) expression



      WITH metric_counts AS (
      SELECT max(metric_timestamp),f.t_id,f.imp_count,f.eng_count,f.eng_rate
      FROM metric_aggregates f LEFT JOIN tweets b on
      f.t_id=b.t_id
      )
      SELECT
      b.t_id,a.profile_image,b.tweet_text,e.media_media_url,b.retweet_count
      ,b.favorite_count as like_count, count(reply_to_status_id) as
      reply_count,metric_counts.imp_count
      ,metric_counts.eng_count,metric_counts.eng_rate
      FROM twitter_users as a
      LEFT JOIN tweets as b on a.twitter_user_id=b.twitter_user_id
      LEFT JOIN replies c on b.t_id = c.t_id
      LEFT JOIN media e on b.t_id = e.t_id
      LEFT JOIN metric_counts on metric_counts.t_id = b.t_id WHERE
      lower(a.twitter_screen_name)=lower('narendramodi')
      GROUP BY b.t_id,a.profile_image,b.tweet_text,e.media_media_url,
      b.retweet_count,b.favorite_count,
      metric_counts.imp_count,metric_counts.eng_count,
      metric_counts.eng_rate;


      The above WITH expression was giving results of imp_counts also for each tweet but not giving latest record/value. Can anyone help me in achieving this.



      Here is the Query cost of WITH query



      HashAggregate  (cost=1734856.13..1735618.48 rows=76235 width=673)


      So can anyone help me to reduce cost to even lesser but giving results within 15 sec.







      postgresql-9.4 cte






      share|improve this question













      share|improve this question











      share|improve this question




      share|improve this question










      asked 12 mins ago









      bunny sunnybunny sunny

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