How to make use of WITH in PostgreSQL to reduce query cost
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
add a comment |
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
Please edit your question and add the execution plan generated usingexplain (analyze, buffers)
(not just a "simple" explain) as formatted text, no screen shots please. Or upload the plan to explain.depesz.com
– a_horse_with_no_name
1 hour ago
add a comment |
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
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
postgresql-9.4 cte
edited 4 mins ago
bunny sunny
asked 3 hours ago
bunny sunnybunny sunny
62
62
Please edit your question and add the execution plan generated usingexplain (analyze, buffers)
(not just a "simple" explain) as formatted text, no screen shots please. Or upload the plan to explain.depesz.com
– a_horse_with_no_name
1 hour ago
add a comment |
Please edit your question and add the execution plan generated usingexplain (analyze, buffers)
(not just a "simple" explain) as formatted text, no screen shots please. Or upload the plan to explain.depesz.com
– a_horse_with_no_name
1 hour ago
Please edit your question and add the execution plan generated using
explain (analyze, buffers)
(not just a "simple" explain) as formatted text, no screen shots please. Or upload the plan to explain.depesz.com– a_horse_with_no_name
1 hour ago
Please edit your question and add the execution plan generated using
explain (analyze, buffers)
(not just a "simple" explain) as formatted text, no screen shots please. Or upload the plan to explain.depesz.com– a_horse_with_no_name
1 hour ago
add a comment |
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Please edit your question and add the execution plan generated using
explain (analyze, buffers)
(not just a "simple" explain) as formatted text, no screen shots please. Or upload the plan to explain.depesz.com– a_horse_with_no_name
1 hour ago