Hello,
I'm having trouble with the performance from a query used to create a materialized view.
I need to be able to build the keyword_performance_flat_matview view in around 2-4 hours overnight. However, it currently takes in excess of 24 hours. I'm wondering if there is anything I can do to improve the performance?
As you can see below it's a big query, and I didn't want to overwhelm everyone with the schema, so let me know what bits you might need to help!
Any help improving the performance will be greatly appreciated.
Thank you.
EngineYard M3 Extra Large instance:
Intel Xeon CPU E5-2670 v2 @ 2.50GHz (quad core)
15 GB Ram
PostgreSQL 9.3.6
queries:
create materialized view
campaign_category_lookup
as
select
scenario_campaigns.id as campaign_id,
join_website_budget_labels.label_id as category_id
from scenario_campaigns
inner join scenario_campaign_vendor_instances
on scenario_campaign_vendor_instances.campaign_id = scenario_campaigns.id
inner join join_website_budget_labels_campaign_vendor_instances_1f8636
on join_website_budget_labels_campaign_vendor_instances_1f8636.vendor_instance_id = scenario_campaign_vendor_instances.id
inner join join_website_budget_labels
on join_website_budget_labels_campaign_vendor_instances_1f8636.website_budget_label_id = join_website_budget_labels.id
inner join account_website_budgets
on join_website_budget_labels.budget_id = account_website_budgets.id
and account_website_budgets.state = 'approved'
where scenario_campaign_vendor_instances.campaign_id = scenario_campaigns.id
and account_website_budgets.start_date <= current_date
and account_website_budgets.end_date >= current_date
order by approved_at desc;
create materialized view temp_keyword_perf_unaggr
as
select
account_websites.id as website_id,
account_websites.namespace as website_namespace,
scenario_keyword_vendor_instances.inventory_disabled as inventory_disabled,
scenario_keyword_vendor_instances.condition_disabled as condition_disabled,
scenario_ad_groups.campaign_id,
scenario_ad_groups.id as ad_group_id,
scenario_keywords.id as keyword_id,
scenario_keyword_texts.value as keyword_name,
scenario_keyword_performances.*,
(select category_id from campaign_category_lookup where campaign_category_lookup.campaign_id = scenario_ad_groups.campaign_id limit 1) as category_id
from
scenarios
inner join account_websites
on scenarios.website_id = account_websites.id
inner join scenario_campaigns
on scenario_campaigns.scenario_id = scenarios.id
inner join scenario_ad_groups
on scenario_ad_groups.campaign_id = scenario_campaigns.id
inner join scenario_keywords
on scenario_keywords.ad_group_id = scenario_ad_groups.id
inner join scenario_keyword_texts
on scenario_keyword_texts.id = scenario_keywords.text_id
left outer join scenario_keyword_vendor_instances
on scenario_keyword_vendor_instances.keyword_id = scenario_keywords.id
left outer join scenario_keyword_performances
on scenario_keyword_performances.api_id = scenario_keyword_vendor_instances.api_id
and scenario_keyword_performances.date >= (date_trunc('month', now()) - '1 month'::interval)::date -- start of previous month
where
scenarios.deleted_at is null
and scenario_keyword_texts.value is not null
and account_websites.active = 't';
create materialized view
keyword_performance_flat_matview
as
select
website_id,
website_namespace,
campaign_id,
ad_group_id,
keyword_name,
keyword_id,
network,
device,
inventory_disabled,
condition_disabled,
category_id,
date,
sum(impressions) as impressions,
sum(clicks) as clicks,
sum(conv_one) as conv_one,
sum(conv_many) as conv_many,
sum(cost) as cost,
sum(conv_value) as conv_value,
avg(avg_position) as avg_position
from temp_keyword_perf_unaggr
group by
website_id,
website_namespace,
campaign_id,
ad_group_id,
keyword_id,
keyword_name,
device,
network,
inventory_disabled,
condition_disabled,
category_id,
date;
Explain output for temp_keyword_perf_unaggr:
Merge Right Join (cost=8796955.87..1685073792.18 rows=296873848 width=213)
Merge Cond: (scenario_keyword_performances.api_id = scenario_keyword_vendor_instances.api_id)
-> Index Scan using index_keyword_performances_on_vendor_instance_id_and_date on scenario_keyword_performances (cost=0.44..203167.46 rows=392586 width=144)
Index Cond: (date >= ((date_trunc('month'::text, now()) - '1 mon'::interval))::date)
-> Materialize (cost=8796955.43..8883724.51 rows=17353816 width=77)
-> Sort (cost=8796955.43..8840339.97 rows=17353816 width=77)
Sort Key: scenario_keyword_vendor_instances.api_id
-> Hash Join (cost=2755544.36..5939172.05 rows=17353816 width=77)
Hash Cond: (scenario_keywords.text_id = scenario_keyword_texts.id)
-> Hash Right Join (cost=2171209.00..4417042.21 rows=17353816 width=48)
Hash Cond: (scenario_keyword_vendor_instances.keyword_id = scenario_keywords.id)
-> Seq Scan on scenario_keyword_vendor_instances (cost=0.00..821853.20 rows=33362520 width=14)
-> Hash (cost=1827291.60..1827291.60 rows=16931312 width=38)
-> Hash Join (cost=219154.58..1827291.60 rows=16931312 width=38)
Hash Cond: (scenario_keywords.ad_group_id = scenario_ad_groups.id)
-> Seq Scan on scenario_keywords (cost=0.00..946491.60 rows=32550260 width=12)
-> Hash (cost=186041.43..186041.43 rows=1712492 width=30)
-> Hash Join (cost=6569.88..186041.43 rows=1712492 width=30)
Hash Cond: (scenario_ad_groups.campaign_id = scenario_campaigns.id)
-> Seq Scan on scenario_ad_groups (cost=0.00..133539.47 rows=3292247 width=8)
-> Hash (cost=5596.79..5596.79 rows=77847 width=26)
-> Hash Join (cost=100.50..5596.79 rows=77847 width=26)
Hash Cond: (scenario_campaigns.scenario_id = scenarios.id)
-> Seq Scan on scenario_campaigns (cost=0.00..4156.60 rows=149660 width=8)
-> Hash (cost=85.98..85.98 rows=1161 width=26)
-> Hash Join (cost=16.43..85.98 rows=1161 width=26)
Hash Cond: (scenarios.website_id = account_websites.id)
-> Seq Scan on scenarios (cost=0.00..50.32 rows=2032 width=8)
Filter: (deleted_at IS NULL)
-> Hash (cost=12.92..12.92 rows=281 width=22)
-> Seq Scan on account_websites (cost=0.00..12.92 rows=281 width=22)
Filter: active
-> Hash (cost=292793.16..292793.16 rows=14352816 width=37)
-> Seq Scan on scenario_keyword_texts (cost=0.00..292793.16 rows=14352816 width=37)
Filter: (value IS NOT NULL)
SubPlan 1
-> Limit (cost=0.28..5.63 rows=1 width=4)
-> Index Scan using campaign_category_lookup_campaign_id_idx on campaign_category_lookup (cost=0.28..10.99 rows=2 width=4)
Index Cond: (campaign_id = scenario_ad_groups.campaign_id)
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