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
Python DSL
Search
Elasticsearch Inc
March 11, 2015
Technology
2
920
Python DSL
Slides for Honza's talk at Elastic{on}
Elasticsearch Inc
March 11, 2015
Tweet
Share
More Decks by Elasticsearch Inc
See All by Elasticsearch Inc
OSCON: Scaling a distributed engineering team from 50-250
elasticsearch
13
1.4k
Stuff a Search Engine Can Do
elasticsearch
17
1.6k
Using Elastic to monitor anything
elasticsearch
3
1.5k
Log all the things!
elasticsearch
4
1.1k
Why Elastic? @ 50th Vinitaly 2016
elasticsearch
5
1.9k
What's New In Elasticland?
elasticsearch
3
890
Kibana, Timelion, Graph Meetup
elasticsearch
3
780
Elastic for Time Series Data and Predictive Analytics
elasticsearch
4
3k
Elastic 2.0
elasticsearch
1
740
Other Decks in Technology
See All in Technology
AI自体のOps 〜LLMアプリの運用、AWSサービスとOSSの使い分け〜
minorun365
PRO
9
910
急成長する企業で作った、エンジニアが輝ける制度/ 20250227 Rinto Ikenoue
shift_evolve
0
360
OPENLOGI Company Profile for engineer
hr01
1
20k
x86-64 Assembly Essentials
latte72
1
220
大規模アジャイルフレームワークから学ぶエンジニアマネジメントの本質
staka121
PRO
3
1.6k
わたしがEMとして入社した「最初の100日」の過ごし方 / EMConfJp2025
daiksy
14
5.6k
サバイバルモード下でのエンジニアリングマネジメント
konifar
21
6.8k
Global Databaseで実現するマルチリージョン自動切替とBlue/Greenデプロイ
j2yano
0
160
IAMのマニアックな話2025
nrinetcom
PRO
6
1.4k
AWSではじめる Web APIテスト実践ガイド / A practical guide to testing Web APIs on AWS
yokawasa
8
770
Amazon Aurora のバージョンアップ手法について
smt7174
2
180
Охота на косуль у древних
ashapiro
0
120
Featured
See All Featured
Mobile First: as difficult as doing things right
swwweet
223
9.5k
Unsuck your backbone
ammeep
669
57k
Adopting Sorbet at Scale
ufuk
75
9.2k
Fireside Chat
paigeccino
35
3.2k
The Language of Interfaces
destraynor
156
24k
Intergalactic Javascript Robots from Outer Space
tanoku
270
27k
The MySQL Ecosystem @ GitHub 2015
samlambert
250
12k
Rails Girls Zürich Keynote
gr2m
94
13k
4 Signs Your Business is Dying
shpigford
183
22k
Why Our Code Smells
bkeepers
PRO
336
57k
The Myth of the Modular Monolith - Day 2 Keynote - Rails World 2024
eileencodes
21
2.5k
A Tale of Four Properties
chriscoyier
158
23k
Transcript
Python DSL Honza Král @honzakral
{ } DSL 2
{ } DSL ? Don't you mean ORM? 3
{ } Current State { "query": { "filtered": { "query":
{ "function_score": { "query": { "bool": { "must": [ {"multi_match": { "fields": ["title^10", "body"], "query": "php"}}, {"has_child": { "child_type": "answer", "query": {"match": {"body": "python"}}}} ], "must_not": [ {"multi_match": { "fields": ["title", "body"], "query": "python"}} ] } }, "field_value_factor": {"field": "rating"} } }, "filter": {"range": {"creation_date": {"from": "2010-01-01"}}} }}, 4 "highlight": { "fields": { "title": {"fragment_size" : 50}, "body": {"fragment_size" : 50} } }, "aggs": { "tags": { "terms": {"field": "tags"}, "aggs": { "comment_avg": { "avg": {"field": "comment_count"} } } }, "frequency": { "date_histogram": { "field": "creation_date", "interval": "month" } } } } JSON DSL
{ } Now add a filter to it! 5
{ } Search Object s = Search(doc_type='question') 6
{ } Simple Query s = s.query('multi_match', fields=['title^10', 'body'], query='php')
7
{ } Compound Query s = s.query('has_child', child_type='answer', query=Q('match', body='python'))
8
{ } Q shortcut {"has_child": { "child_type": "answer', "query": {"match":
{"body": "python"}}}} Q({'has_child': { 'child_type': 'answer', 'query': {'match': {'body': 'python'}}}}) Q('has_child', child_type='answer', query=Q('match', body='python')) HasChild(child_type='answer', query=Match(body='python')) 9
{ } Query expressions Q(...) & Q(...) == Bool(must=[Q(...), Q(...)])
Q(...) | Q(...) == Bool(should=[Q(...), Q(...)]) ~Q(...) == Bool(must_not=[Q(..)]) 10
{ } Filter s = s.filter('range', creation_date={'from': date(2010, 1, 1)})
11
{ } Exclude s = s.query(~Q('multi_match', fields=['title^10', 'body'], query='python')) 12
{ } Manual query s.query = Q('function_score', query=s.query, field_value_factor={'field': 'rating'})
13
{ } Aggregations s.aggs.bucket('tags', 'terms', field='tags')\ .metric('comment_avg', 'avg', field='comment_count') s.aggs.bucket('frequency',
'date_histogram', field='creation_date', interval='month') 14
{ } Highlight ... s = s.highlight('title', 'body', fragment_size=50) 15
{ } Migration path s = Search.from_dict(my_glorious_query) s = s.filter('term',
tag='published') my_glorious_query = s.to_dict() 16 query at a time
{ } Response response = s.execute() for hit in response:
print(hit.meta.score, hit.title) for tag in response.aggregations.tags.buckets: print(tag.key, tag.avg_comments.value) 17 No more brackets!
{ } Persistence From Mapping to Model-like DocTypes 18
{ } Mapping DSL m = Mapping('article') m.field('published_from', Date()) m.field('title',
String(fields={'raw': String(index='not_analyzed')})) m.field('comments', Nested()) m['comments'].property('author', String()) m.save('index-name') m.update_from_es('index-name') 19
{ } DocType class Article(DocType): title = String() created_date =
Date() comments = Nested(properties={'author': String()}) class Meta: index = 'blog' def save(self, **kwargs): self.created_date = now() super().save(**kwargs) Article.init() Article.search()... Search(doc_type=Article) 20
{ } Configuration 21
{ } Connections connections.configure( default={'hosts': ['localhost'], 'sniff_on_start': True}, logging={ 'hosts':
['log1:9200', 'log2:9200'], 'timeout': 30, 'sniff_timeout': 120}) Search(using='logging') es = connections.get_connection() es.indices.delete(index='_all') 22
{ } Future 23
{ } More DSLs! Index Analyzers Settings ... 24
{ } FacetedSearch ? class MySiteSearch(FacetedSearch): doc_type = [Article, Comment]
fields = ['title', 'body'] published = DateHistogram( interval='week', field='published_date') category = Term(field='category') 25 Definition ???
{ } FacetedSearch ? s = MySiteSearch('python', category='blog') for hit
in s: print(h.meta.score, h.title) cat_facet = s.facets['category'] for name, count in cat_facet: mask = '%s: %d' if name == cat_facet.selected: mask = '<b>%s: %d</b>' print(mask % (name, count)) 26 Usage ????
{ } Django integration ? Model -> DocType signal handlers
to update management command to sync FacetedSearch -> Form view + template pattern 27
{ } Thank you! @honzakral
{ } This work is licensed under the Creative Commons
Attribution-NoDerivatives 4.0 International License. To view a copy of this license, visit: http://creativecommons.org/licenses/by-nd/4.0/ or send a letter to: Creative Commons PO Box 1866 Mountain View, CA 94042 USA CC-BY-ND 4.0 29