gitlab-org--gitlab-foss/spec/lib/gitlab/sql/pattern_spec.rb

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require 'spec_helper'
describe Gitlab::SQL::Pattern do
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describe '.to_pattern' do
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subject(:to_pattern) { User.to_pattern(query) }
context 'when a query is shorter than 3 chars' do
let(:query) { '12' }
it 'returns exact matching pattern' do
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expect(to_pattern).to eq('12')
end
end
context 'when a query with a escape character is shorter than 3 chars' do
let(:query) { '_2' }
it 'returns sanitized exact matching pattern' do
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expect(to_pattern).to eq('\_2')
end
end
context 'when a query is equal to 3 chars' do
let(:query) { '123' }
it 'returns partial matching pattern' do
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expect(to_pattern).to eq('%123%')
end
end
context 'when a query with a escape character is equal to 3 chars' do
let(:query) { '_23' }
it 'returns partial matching pattern' do
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expect(to_pattern).to eq('%\_23%')
end
end
context 'when a query is longer than 3 chars' do
let(:query) { '1234' }
it 'returns partial matching pattern' do
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expect(to_pattern).to eq('%1234%')
end
end
context 'when a query with a escape character is longer than 3 chars' do
let(:query) { '_234' }
it 'returns sanitized partial matching pattern' do
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expect(to_pattern).to eq('%\_234%')
end
end
end
describe '.select_fuzzy_words' do
subject(:select_fuzzy_words) { Issue.select_fuzzy_words(query) }
context 'with a word equal to 3 chars' do
let(:query) { 'foo' }
it 'returns array cotaining a word' do
expect(select_fuzzy_words).to match_array(['foo'])
end
end
context 'with a word shorter than 3 chars' do
let(:query) { 'fo' }
it 'returns empty array' do
expect(select_fuzzy_words).to match_array([])
end
end
context 'with two words both equal to 3 chars' do
let(:query) { 'foo baz' }
it 'returns array containing two words' do
expect(select_fuzzy_words).to match_array(%w[foo baz])
end
end
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context 'with two words divided by two spaces both equal to 3 chars' do
let(:query) { 'foo baz' }
it 'returns array containing two words' do
expect(select_fuzzy_words).to match_array(%w[foo baz])
end
end
context 'with two words equal to 3 chars and shorter than 3 chars' do
let(:query) { 'foo ba' }
it 'returns array containing a word' do
expect(select_fuzzy_words).to match_array(['foo'])
end
end
context 'with a multi-word surrounded by double quote' do
let(:query) { '"really bar"' }
it 'returns array containing a multi-word' do
expect(select_fuzzy_words).to match_array(['really bar'])
end
end
context 'with a multi-word surrounded by double quote and two words' do
let(:query) { 'foo "really bar" baz' }
it 'returns array containing a multi-word and tow words' do
expect(select_fuzzy_words).to match_array(['foo', 'really bar', 'baz'])
end
end
context 'with a multi-word surrounded by double quote missing a spece before the first double quote' do
let(:query) { 'foo"really bar"' }
it 'returns array containing two words with double quote' do
expect(select_fuzzy_words).to match_array(['foo"really', 'bar"'])
end
end
context 'with a multi-word surrounded by double quote missing a spece after the second double quote' do
let(:query) { '"really bar"baz' }
it 'returns array containing two words with double quote' do
expect(select_fuzzy_words).to match_array(['"really', 'bar"baz'])
end
end
context 'with two multi-word surrounded by double quote and two words' do
let(:query) { 'foo "really bar" baz "awesome feature"' }
it 'returns array containing two multi-words and tow words' do
expect(select_fuzzy_words).to match_array(['foo', 'really bar', 'baz', 'awesome feature'])
end
end
end
describe '.fuzzy_arel_match' do
subject(:fuzzy_arel_match) { Issue.fuzzy_arel_match(:title, query) }
context 'with a word equal to 3 chars' do
let(:query) { 'foo' }
it 'returns a single ILIKE condition' do
expect(fuzzy_arel_match.to_sql).to match(/title.*I?LIKE '\%foo\%'/)
end
end
context 'with a word shorter than 3 chars' do
let(:query) { 'fo' }
it 'returns a single equality condition' do
expect(fuzzy_arel_match.to_sql).to match(/title.*I?LIKE 'fo'/)
end
Optimise searching for users using short queries This optimises searching for users when using queries consisting out of one or two characters such as "ab". We optimise such cases by searching for `LOWER(name)` and `LOWER(username)` instead of using `ILIKE`. Using `LOWER` produces a _much_ better performing query. For example, when searching for all users matching the term "a" we'd produce the following plan: Limit (cost=637.69..637.74 rows=20 width=805) (actual time=41.983..41.995 rows=20 loops=1) Buffers: shared hit=8330 -> Sort (cost=637.69..638.61 rows=368 width=805) (actual time=41.982..41.990 rows=20 loops=1) Sort Key: (CASE WHEN ((name)::text = 'a'::text) THEN 0 WHEN ((username)::text = 'a'::text) THEN 1 WHEN ((email)::text = 'a'::text) THEN 2 ELSE 3 END), name Sort Method: top-N heapsort Memory: 35kB Buffers: shared hit=8330 -> Bitmap Heap Scan on users (cost=75.47..627.89 rows=368 width=805) (actual time=9.452..41.305 rows=277 loops=1) Recheck Cond: (((name)::text ~~* 'a'::text) OR ((username)::text ~~* 'a'::text) OR ((email)::text = 'a'::text)) Rows Removed by Index Recheck: 7601 Heap Blocks: exact=7636 Buffers: shared hit=8327 -> BitmapOr (cost=75.47..75.47 rows=368 width=0) (actual time=8.290..8.290 rows=0 loops=1) Buffers: shared hit=691 -> Bitmap Index Scan on index_users_on_name_trigram (cost=0.00..38.85 rows=180 width=0) (actual time=4.369..4.369 rows=4071 loops=1) Index Cond: ((name)::text ~~* 'a'::text) Buffers: shared hit=360 -> Bitmap Index Scan on index_users_on_username_trigram (cost=0.00..34.41 rows=188 width=0) (actual time=3.896..3.896 rows=4140 loops=1) Index Cond: ((username)::text ~~* 'a'::text) Buffers: shared hit=328 -> Bitmap Index Scan on users_email_key (cost=0.00..1.94 rows=1 width=0) (actual time=0.022..0.022 rows=0 loops=1) Index Cond: ((email)::text = 'a'::text) Buffers: shared hit=3 Planning time: 3.912 ms Execution time: 42.171 ms With the changes in this commit we now produce the following plan instead: Limit (cost=13257.48..13257.53 rows=20 width=805) (actual time=1.567..1.579 rows=20 loops=1) Buffers: shared hit=287 -> Sort (cost=13257.48..13280.93 rows=9379 width=805) (actual time=1.567..1.572 rows=20 loops=1) Sort Key: (CASE WHEN ((name)::text = 'a'::text) THEN 0 WHEN ((username)::text = 'a'::text) THEN 1 WHEN ((email)::text = 'a'::text) THEN 2 ELSE 3 END), name Sort Method: top-N heapsort Memory: 35kB Buffers: shared hit=287 -> Bitmap Heap Scan on users (cost=135.66..13007.91 rows=9379 width=805) (actual time=0.194..1.107 rows=277 loops=1) Recheck Cond: ((lower((name)::text) = 'a'::text) OR (lower((username)::text) = 'a'::text) OR ((email)::text = 'a'::text)) Heap Blocks: exact=277 Buffers: shared hit=287 -> BitmapOr (cost=135.66..135.66 rows=9379 width=0) (actual time=0.152..0.152 rows=0 loops=1) Buffers: shared hit=10 -> Bitmap Index Scan on yorick_test_users (cost=0.00..124.75 rows=9377 width=0) (actual time=0.101..0.101 rows=277 loops=1) Index Cond: (lower((name)::text) = 'a'::text) Buffers: shared hit=4 -> Bitmap Index Scan on index_on_users_lower_username (cost=0.00..1.94 rows=1 width=0) (actual time=0.035..0.035 rows=1 loops=1) Index Cond: (lower((username)::text) = 'a'::text) Buffers: shared hit=3 -> Bitmap Index Scan on users_email_key (cost=0.00..1.94 rows=1 width=0) (actual time=0.014..0.014 rows=0 loops=1) Index Cond: ((email)::text = 'a'::text) Buffers: shared hit=3 Planning time: 0.303 ms Execution time: 1.687 ms Here we can see the new query is 25 times faster compared to the old query.
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it 'uses LOWER instead of ILIKE when LOWER is enabled' do
rel = Issue.fuzzy_arel_match(:title, query, lower_exact_match: true)
expect(rel.to_sql).to match(/LOWER\(.*title.*\).*=.*'fo'/)
end
end
context 'with two words both equal to 3 chars' do
let(:query) { 'foo baz' }
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it 'returns a joining LIKE condition using a AND' do
expect(fuzzy_arel_match.to_sql).to match(/title.+I?LIKE '\%foo\%' AND .*title.*I?LIKE '\%baz\%'/)
end
end
context 'with two words both shorter than 3 chars' do
let(:query) { 'fo ba' }
it 'returns a single ILIKE condition' do
expect(fuzzy_arel_match.to_sql).to match(/title.*I?LIKE 'fo ba'/)
end
end
context 'with two words, one shorter 3 chars' do
let(:query) { 'foo ba' }
it 'returns a single ILIKE condition using the longer word' do
expect(fuzzy_arel_match.to_sql).to match(/title.+I?LIKE '\%foo\%'/)
end
end
context 'with a multi-word surrounded by double quote and two words' do
let(:query) { 'foo "really bar" baz' }
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it 'returns a joining LIKE condition using a AND' do
expect(fuzzy_arel_match.to_sql).to match(/title.+I?LIKE '\%foo\%' AND .*title.*I?LIKE '\%baz\%' AND .*title.*I?LIKE '\%really bar\%'/)
end
end
end
end