Upgrade to PRO for Only $50/Year—Limited-Time Offer! 🔥
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
Python DSL
Search
Elasticsearch Inc
March 11, 2015
Technology
2
940
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
1.5k
Stuff a Search Engine Can Do
elasticsearch
17
1.7k
Using Elastic to monitor anything
elasticsearch
3
1.5k
Log all the things!
elasticsearch
4
1.2k
Why Elastic? @ 50th Vinitaly 2016
elasticsearch
5
2k
What's New In Elasticland?
elasticsearch
3
980
Kibana, Timelion, Graph Meetup
elasticsearch
3
800
Elastic for Time Series Data and Predictive Analytics
elasticsearch
4
3.1k
Elastic 2.0
elasticsearch
1
750
Other Decks in Technology
See All in Technology
安いGPUレンタルサービスについて
aratako
1
1.6k
その設計、 本当に価値を生んでますか?
shimomura
2
180
pmconf2025 - 他社事例を"自社仕様化"する技術_iRAFT法
daichi_yamashita
0
490
命名から始めるSpec Driven
kuruwic
3
830
手動から自動へ、そしてその先へ
moritamasami
0
180
Capture Checking / Separation Checking 入門
tanishiking
0
110
GitLab Duo Agent Platformで実現する“AI駆動・継続的サービス開発”と最新情報のアップデート
jeffi7
0
150
Multimodal AI Driving Solutions to Societal Challenges
keio_smilab
PRO
1
120
Introduction to Sansan for Engineers / エンジニア向け会社紹介
sansan33
PRO
5
48k
Claude Code Getting Started Guide(en)
oikon48
0
140
Introduction to Sansan, inc / Sansan Global Development Center, Inc.
sansan33
PRO
0
2.9k
形式手法特論:CEGAR を用いたモデル検査の状態空間削減 #kernelvm / Kernel VM Study Hokuriku Part 8
ytaka23
1
140
Featured
See All Featured
Practical Orchestrator
shlominoach
190
11k
Java REST API Framework Comparison - PWX 2021
mraible
34
9k
Rebuilding a faster, lazier Slack
samanthasiow
84
9.3k
VelocityConf: Rendering Performance Case Studies
addyosmani
333
24k
Into the Great Unknown - MozCon
thekraken
40
2.2k
The Invisible Side of Design
smashingmag
302
51k
Facilitating Awesome Meetings
lara
57
6.7k
Put a Button on it: Removing Barriers to Going Fast.
kastner
60
4.1k
BBQ
matthewcrist
89
9.9k
The Cult of Friendly URLs
andyhume
79
6.7k
Build The Right Thing And Hit Your Dates
maggiecrowley
38
3k
The MySQL Ecosystem @ GitHub 2015
samlambert
251
13k
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