Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
Mateusz Herych - LIKE '%smth%' is not the way
Search
Base Lab
February 12, 2014
Programming
0
140
Mateusz Herych - LIKE '%smth%' is not the way
Droidcon IT, Turin Feb 2014
Base Lab
February 12, 2014
Tweet
Share
More Decks by Base Lab
See All by Base Lab
Szymon Sobczak - Hadoop + Storm
baselab
0
94
Slawek Skowron - Monitoring @ Scale
baselab
0
110
Karol Nowak - Monitoring clock drift in Amazon EC2 environment
baselab
0
100
Tomasz Nowak - Web Application Testing made easy
baselab
0
290
Szymon Pawlik - UX i Automatyzacja czyli jak testerzy mogą poprawić produkt.
baselab
0
240
Jerzy Chałupski - Offline mode in Android apps
baselab
3
470
Jerzy Chałupski - Data model on Android
baselab
4
220
Other Decks in Programming
See All in Programming
CQRS+ES の力を使って効果を感じる / Feel the effects of using the power of CQRS+ES
seike460
PRO
0
240
Внедряем бюджетирование, или Как сделать хорошо?
lamodatech
0
940
AHC041解説
terryu16
0
380
Rubyでつくるパケットキャプチャツール
ydah
0
170
各クラウドサービスにおける.NETの対応と見解
ymd65536
0
250
DMMオンラインサロンアプリのSwift化
hayatan
0
180
php-conference-japan-2024
tasuku43
0
430
Androidアプリのモジュール分割における:x:commonを考える
okuzawats
1
280
KMP와 kotlinx.rpc로 서버와 클라이언트 동기화
kwakeuijin
0
300
ChatGPT とつくる PHP で OS 実装
memory1994
PRO
3
190
ISUCON14感想戦で85万点まで頑張ってみた
ponyo877
1
590
Azure AI Foundryのご紹介
qt_luigi
1
190
Featured
See All Featured
Build your cross-platform service in a week with App Engine
jlugia
229
18k
Making Projects Easy
brettharned
116
6k
Being A Developer After 40
akosma
89
590k
Principles of Awesome APIs and How to Build Them.
keavy
126
17k
Designing for Performance
lara
604
68k
The Pragmatic Product Professional
lauravandoore
32
6.4k
Faster Mobile Websites
deanohume
305
30k
Building Adaptive Systems
keathley
38
2.4k
Building an army of robots
kneath
302
45k
Fashionably flexible responsive web design (full day workshop)
malarkey
406
66k
The Straight Up "How To Draw Better" Workshop
denniskardys
232
140k
Large-scale JavaScript Application Architecture
addyosmani
510
110k
Transcript
None
Mateusz Herych Android Developer - Base CRM Co-organizer - GDG
Krakow Co-organizer - KrakDroid
Stats
LIKE ‘%smth%’
LIKE ‘%smth%’ is not the way.
Search
Search Offline.
Why?
Why? Let the backend guys do the job
Why? Internet is not everywhere.
Why? Internet is not everywhere. It takes time. (especially SSL)
Why? Internet is not everywhere. It takes time. (especially SSL)
And sometimes it’s shitty.
Why? Internet is not everywhere. It takes time. (especially SSL)
And sometimes it’s shitty.
Sure, some apps don’ t really need it You need
an Internet to order that taxi anyway
Do you keep offline content? Let your users navigate fast.
Did I say fast?
How? Let’s go deeper.
Context
CRM - Contacts - Deals - Notes - ...
CRM - Contacts (~100) - Deals (~50) - Notes (~100)
- ... 2009
select id from deals where name LIKE ‘% something%’
CRM - Contacts (~40K) - Deals (~20K) - Notes (~300K)
- ...
None
HOW DOES “LIKE” WORKS LIKE?
Docs saying
I tried to put all the conditions that need to
be satisfied so SQLite can use indices combined with LIKE operator. Docs saying
They didn’t fit. Docs saying
http://www.sqlite. org/optoverview.html Docs saying
Hey, you, SQLite! EXPLAIN (my) QUERY PLAN
PRAGMA case_sensitive_like=1;
PRAGMA case_sensitive_like=1; CREATE INDEX search_index on deals(name);
PRAGMA case_sensitive_like=1; CREATE INDEX search_index on deals(name); SELECT id FROM
deals WHERE name LIKE ‘Some%’;
EXPLAIN QUERY PLAN SELECT id FROM deals WHERE name LIKE
‘Some%’; SEARCH TABLE deals USING COVERING INDEX search_index (name>? AND name<?) (~31250 rows)
EXPLAIN QUERY PLAN SELECT id FROM deals WHERE name LIKE
‘%Some%’;
EXPLAIN QUERY PLAN SELECT id FROM deals WHERE name LIKE
‘%Some%’; SCAN TABLE deals (~500000 rows)
EXPLAIN QUERY PLAN SELECT id FROM deals WHERE name LIKE
‘%Some%’; SCAN TABLE deals (~500000 rows) (And then you die)
first_name || ‘ ‘ || last_name? UNIONs, complicated VIEWs? Like
is NOT the way to go.
What people think SQLite is
What SQLite really is
SQLite is powerful Not kidding.
FTS3 Full Text Search
CREATE VIRTUAL TABLE search USING fts3 (tokens)
? CREATE VIRTUAL TABLE search USING fts3 (tokens INT)
Nope. PRAGMA table_info(search); cid|name|type|notnull|dflt_value|pk 0|word||0||0
All is TEXT, except for hidden rowid.
What is virtual table? Imagine it’s a Java interface. interface
VirtualTable { void insert(Params p); void update(Params p); // etc, also createTable. }
What is a virtual table? class Fts3 implements VirtualTable {
// … }
None
MATCH Let’s go make some magic.
SELECT * FROM search WHERE content MATCH ‘something’
SELECT rowid, * FROM search WHERE content MATCH ‘something’ rowid|word
1|something 2|not something special 3|SoMeThInG
SELECT rowid, * FROM search WHERE content MATCH ‘some* spe*’
rowid|word 2|not something special
CREATE VIRTUAL TABLE search USING fts3 (author, lyrics)
SELECT * FROM search WHERE lyrics MATCH ‘author:Giorgio Synthesizer author
|lyrics Giorgio Moroder|..Why don’t I use a synthesizer...
Cool?
Cool? Look at this.
SELECT * FROM search WHERE lyrics MATCH ‘why NEAR synthesizer’
author |lyrics Giorgio Moroder|..Why don’t I use synthesizer...
SELECT * FROM search WHERE lyrics MATCH ‘why NEAR/3 synthesizer’
author |lyrics Giorgio Moroder|..Why don’t I use synthesizer...
Tips.
1. Your FTS vtable should contain only tokens. Eventually divided
into sections.
2. Link your FTS table’s records with other table (containing
real object’s id and type) using rowid.
3. Remember. FTS is fast enough for searching purposes. But
it’s always slower than ‘=’ based query on indexed field.
4. EXPLAIN QUERY PLAN doesn’t work for fts tables. Try
to measure it with .timer ON.
5. ???
6. QUESTIONS TIME!