Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Sign up for free
Menu
Search
Features
All features
Private URLs
Password Protection
Custom URLS
Scheduled publishing
Remove Branding
Restrict embedding
Deck Collections
Notes
Features
All features
Private URLs
Password Protection
Custom URLS
Scheduled publishing
Remove Branding
Restrict embedding
Deck Collections
Notes
Explore
Featured decks
Featured speakers
Programming
Technology
Storyboards
Explore
Featured decks
Featured speakers
Programming
Technology
Storyboards
Pricing
Search
Sign in
Sign up for free
Python DSL
Search
Elasticsearch Inc
March 11, 2015
Technology
980
2
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
Python DSL
Slides for Honza's talk at Elastic{on}
Elasticsearch Inc
March 11, 2015
More Decks by Elasticsearch Inc
See All by Elasticsearch Inc
OSCON: Scaling a distributed engineering team from 50-250
elasticsearch
13
1.6k
Stuff a Search Engine Can Do
elasticsearch
17
1.7k
Using Elastic to monitor anything
elasticsearch
3
1.6k
Log all the things!
elasticsearch
4
1.3k
Why Elastic? @ 50th Vinitaly 2016
elasticsearch
5
2k
What's New In Elasticland?
elasticsearch
3
1.1k
Kibana, Timelion, Graph Meetup
elasticsearch
3
880
Elastic for Time Series Data and Predictive Analytics
elasticsearch
4
3.2k
Elastic 2.0
elasticsearch
1
810
Other Decks in Technology
See All in Technology
DevelopersIO 2026 Tokyo 現時点の衛星通信サービスの現状を整理してみる
maroon1st
0
260
ガチで放置できるClaude Code実行環境の作り方.pdf
lamaglama39
5
8.9k
局所最適は悪ではない。壊れているのは指標です。量と質を同時に見る先行指標の設計
recruitengineers
PRO
2
840
S3 Filesで挑む! 八戸せんべい汁の食べ頃問題
usanchuu
0
160
初海外で注意すべきこと12選!!!安全快適なre:invent生活にするために
yuuuuuuu168
1
210
QAエンジニアがSoutherを使ってみたの〜10分でわかるSouther〜
mhlyc
0
110
From Developer Experience to Agentic Experience: The Next Evolution of APIs
benjagm
0
120
アカウント統制の健康診断
kenichinakamura
1
160
Claude Code をローカルとサーバー上で利用した際の Bedrock 利用料をユーザー単位で一本化してみる
ohorig
0
130
国際カードブランドルール変更に伴うクレジットカード決済取引仕様変更について
k1style
0
190
「作れる」と「リリースできる」の間にあったもの── PdMを外して見えた、PdMがやるべき仕事/Buildable ≠ Shippable: What Removing the PM Taught Me About the PM’s Job
yappli_developers
0
100
Codex を使った障害対応机上演習の実際
orgachem
PRO
0
330
Featured
See All Featured
How People are Using Generative and Agentic AI to Supercharge Their Products, Projects, Services and Value Streams Today
helenjbeal
2
370
The innovator’s Mindset - Leading Through an Era of Exponential Change - McGill University 2025
jdejongh
PRO
1
380
Max Prin - Stacking Signals: How International SEO Comes Together (And Falls Apart)
techseoconnect
PRO
0
500
Large-scale JavaScript Application Architecture
addyosmani
516
110k
Google's AI Overviews - The New Search
badams
0
1.6k
Making the Leap to Tech Lead
cromwellryan
135
10k
Avoiding the “Bad Training, Faster” Trap in the Age of AI
tmiket
0
280
Fireside Chat
paigeccino
43
4.1k
Information Architects: The Missing Link in Design Systems
soysaucechin
1
1.2k
SEO Brein meetup: CTRL+C is not how to scale international SEO
lindahogenes
2
2.9k
How STYLIGHT went responsive
nonsquared
100
6.3k
How to build a perfect <img>
jonoalderson
1
6.2k
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