Real-Time Analytics with Solr: Presented by Yonik Seeley, Cloudera
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The document describes how Solr can be used for real-time analytics on large datasets. It discusses how Solr's inverted index, columnar storage, and multi-segment indexing enable fast search and analytics. Faceted search is described as a way to break results into buckets to filter and explore the data. The new Solr facet module aims to improve integration, performance, and ease of use for advanced analytics through faceting.
![8
©
Cloudera,
Inc.
All
rights
reserved.
Mul=-‐Segment
Index
_0.fnm
_0.fdt
_0.fdx
[...]
_0_1.del
_1.fnm
_1.fdt
_1.fdx
[…]
segments_3
• Each
segment
is
a
self-‐contained
"index"
• Segments
are
never
changed
once
wriMen
• Per-‐segment
caching
very
effec=ve
• Point-‐in-‐=me
searcher
• gejng
new
view
means
wri=ng
&
including
addi=onal
segment
• turns
a
weakness
into
a
strength](https://image.slidesharecdn.com/real-timeanalyticswithsolr-yonikseeley-151021180514-lva1-app6891/85/Real-Time-Analytics-with-Solr-Presented-by-Yonik-Seeley-Cloudera-8-320.jpg)
![15
©
Cloudera,
Inc.
All
rights
reserved.
Simple
request
and
response
curl
http://localhost:8983/solr/query
-‐d
'
q=widgets&
json.facet=
{
x
:
"avg(price)"
,
y
:
"unique(brand)"
}
'
[…]
"facets"
:
{
"count"
:
314,
"x"
:
102.5,
"y"
:
28
}
root
domain
defined
by
docs
matching
the
query
count
of
docs
in
the
bucket](https://image.slidesharecdn.com/real-timeanalyticswithsolr-yonikseeley-151021180514-lva1-app6891/85/Real-Time-Analytics-with-Solr-Presented-by-Yonik-Seeley-Cloudera-15-320.jpg)
![16
©
Cloudera,
Inc.
All
rights
reserved.
All-‐JSON
request
example
$
curl
http://localhost:8983/solr/query
-‐d
'
{
query
:
"widgets",
//
our
JSON
parser
accepts
comments
(C-‐style
too)
filter
:
"inStock:true",
//
bare
strings
can
appear
unquoted
offset:
0,
limit:
5,
sort:
"price
desc",
fields:
["id","name","price"],
/*
could
have
also
used
"id,name,price"
*/
facet
:
{
x
:
"avg(price)",
y
:
"unique(brand)"
}
}
'](https://image.slidesharecdn.com/real-timeanalyticswithsolr-yonikseeley-151021180514-lva1-app6891/85/Real-Time-Analytics-with-Solr-Presented-by-Yonik-Seeley-Cloudera-16-320.jpg)
![19
©
Cloudera,
Inc.
All
rights
reserved.
Sub-‐facet
example
json.facet={
shoes:{
type
:
terms,
field
:
shoe_style,
sort
:
{x
:
desc},
facet
:
{
x
:
"avg(price)",
y
:
"unique(brand)",
colors
:
{
type
:
terms,
field
:
color
}
}
}
}
"facets":
{
"count"
:
472,
"shoes":
{
"buckets"
:
[
{
"val"
:
"Hiking",
"count"
:
34,
"x"
:
135.25,
"y"
:
17,
"colors"
:
{
"buckets"
:
[
{
"val"
:
"brown",
"count"
:
12
},
{
"val"
:
"black",
"count"
:
10
},
[…]
]
}
//
end
of
colors
sub-‐facet
},
//
end
of
Hiking
bucket
{
"val"
:
"Running",
"count"
:
45,
"x"
:
110.75,
"y"
:
24,
"colors"
:
{
"buckets"
:
[…]](https://image.slidesharecdn.com/real-timeanalyticswithsolr-yonikseeley-151021180514-lva1-app6891/85/Real-Time-Analytics-with-Solr-Presented-by-Yonik-Seeley-Cloudera-19-320.jpg)
![30
©
Cloudera,
Inc.
All
rights
reserved.
Indexing
Nested
Documents
(JSON
format)
{
id
:
book1,
type
:
book,
=tle
:
"The
Way
of
Kings",
author
:
"Brandon
Sanderson",
genre
:
fantasy,
pubyear
:
2010,
publisher
:
Tor,
_childDocuments_
:
[
{
id
:
book1_review1,
type
:
review,
review_dt:"2015-‐01-‐03T14:30:00Z",
stars
:
5,
review_author
:
Yonik,
comment
:
"A
great
start
to
what
looks
like
an
epic
series!"
}
,
{
id
:
book1_review2,
type
:
review,
review_dt:"2015-‐03-‐15T12:00:00Z",
stars
:
3,
review_author
:
Dan,
comment
:
"This
book
was
too
long."
}
]
}](https://image.slidesharecdn.com/real-timeanalyticswithsolr-yonikseeley-151021180514-lva1-app6891/85/Real-Time-Analytics-with-Solr-Presented-by-Yonik-Seeley-Cloudera-30-320.jpg)
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Real-Time Analytics with Solr: Presented by Yonik Seeley, Cloudera
- 1. 1 © Cloudera, Inc. All rights reserved. Real-‐Time Analy=cs with Solr Yonik Seeley 10/15/2015
- 2. 2 © Cloudera, Inc. All rights reserved. My Background • Creator of Solr • Cloudera Engineer • LucidWorks Co-‐Founder • Lucene/Solr commiMer, PMC member • Apache SoQware Founda=on member • M.S. in Computer Science, Stanford
- 3. 3 © Cloudera, Inc. All rights reserved. Solr for Analy=cs
- 4. 4 © Cloudera, Inc. All rights reserved. Search and Hadoop • Search is a key component of many big data problems • Many analy=cs use cases start with search • Adding analy=cs to full-‐text search has proven to be more effec=ve than vice-‐versa • External integra=ons are challenging for "real-‐=me" (i.e. interac=ve) results
- 5. 5 © Cloudera, Inc. All rights reserved. Solr in Hadoop • Top Hadoop vendors who have integrated search have all chosen Apache Solr • For example: Cloudera, Hortonworks, MapR, IBM, ... • Historical focus on interac=ve response =mes • Historical focus on faceted search / guided naviga=on • High performance indexes • originally for "full-‐text" search, but just as great for meta-‐data!
- 6. 6 © Cloudera, Inc. All rights reserved. Inverted Index aardvark hood red liMle riding robin women zoo LiMle Red Riding Hood Robin Hood LiMle Women 0 1 0 2 0 0 2 1 0 1 2 Documents
- 7. 7 © Cloudera, Inc. All rights reserved. Columnar Storage (DocValues) a1 a2 a3 a4 b1 b2 b3 b4 c1 c2 c3 c4 a1 b1 c1 a3 b3 c3 Stored Fields (row oriented) DocValues (column oriented) a1 b1 c1 a1 b1 c1 ... a1 b1 c1 a2 b2 c3 ... • Fast linear scan • Read only the data you need • Fast random access • docid -‐> value(s) • High degree of locality • Compressed • prefix, delta, table, gcd, etc • Mostly "Off-‐Heap" • Memory mapped from index • Row vs Column configurable per field!
- 8. 8 © Cloudera, Inc. All rights reserved. Mul=-‐Segment Index _0.fnm _0.fdt _0.fdx [...] _0_1.del _1.fnm _1.fdt _1.fdx […] segments_3 • Each segment is a self-‐contained "index" • Segments are never changed once wriMen • Per-‐segment caching very effec=ve • Point-‐in-‐=me searcher • gejng new view means wri=ng & including addi=onal segment • turns a weakness into a strength
- 9. 9 © Cloudera, Inc. All rights reserved. Faceted Search • Breaks search results into buckets • Generally provides bucket counts • Allows user to filter / "drill into" results
- 10. 10 © Cloudera, Inc. All rights reserved. New Facet Module
- 11. 11 © Cloudera, Inc. All rights reserved. Face=ng Search Sta=s=cs Facet Module Goals Search Joins Grouping Field Collapsing New Facet Module JSON Facet API • Integra=on • Performance • Ease of use Highligh=ng Nested Documents Geosearch
- 12. 12 © Cloudera, Inc. All rights reserved. Slice and Dice with Facet commands Domain Facet Command A • Domain: A set of documents • Facet command: create sub-‐domains / "facet buckets" Facet Command B Domain Domain Domain Domain Facet Command C Domain Domain Domain Domain Domain Domain
- 13. 13 © Cloudera, Inc. All rights reserved. Facet Func=ons / Sta=s=cs Domain Facet Command A Facet Command B Domain Domain Domain Domain Facet Command C Domain Domain Domain Domain Domain Domain sum(x) unique(y) sum(x) unique(y) sum(x) unique(y) min(units) avg(price) • Facet func=on calculates something over a domain • Can sort domains by facet func=ons!
- 14. 14 © Cloudera, Inc. All rights reserved. Facet func=ons • Calculate (and Sort) by things other than document count Func%on Example Descrip%on sum sum(sales) Summa=on of numeric values avg avg(popularity) Average of numeric values sumsq sumsq(rent) Sum of squares min min(salary) Minimum value max max(mul(popularity,boost)) Maximum value unique unique(state) Number of unique values (calc dis=nct) hll hll(state) Number of unique values using HyperLogLog algorithm percen=le percen=le(salary, 25, 50, 75) Calculates percen=les via t-‐digest algorithm topdocs topdocs("another query",5) (in progress) Returns the top documents for another query
- 15. 15 © Cloudera, Inc. All rights reserved. Simple request and response curl http://localhost:8983/solr/query -‐d ' q=widgets& json.facet= { x : "avg(price)" , y : "unique(brand)" } ' […] "facets" : { "count" : 314, "x" : 102.5, "y" : 28 } root domain defined by docs matching the query count of docs in the bucket
- 16. 16 © Cloudera, Inc. All rights reserved. All-‐JSON request example $ curl http://localhost:8983/solr/query -‐d ' { query : "widgets", // our JSON parser accepts comments (C-‐style too) filter : "inStock:true", // bare strings can appear unquoted offset: 0, limit: 5, sort: "price desc", fields: ["id","name","price"], /* could have also used "id,name,price" */ facet : { x : "avg(price)", y : "unique(brand)" } } '
- 17. 17 © Cloudera, Inc. All rights reserved. Bucke=ng Facet Types • Terms Facet • Creates new domains (facet buckets) based on values in a field • Range Facet • Creates mul=ple buckets based on date ranges or numeric ranges • Query Facet • Creates a single bucket of documents that match any given query • Unlimited nes=ng: Any facet types may have any number of sub-‐facets
- 18. 18 © Cloudera, Inc. All rights reserved. Terms facet example json.facet={ shoes : { type : terms, field : shoe_style, sort : {x : desc}, facet : { x : "avg(price)", y : "unique(brand)" } } } "facets": { "count" : 472, "shoes": { "buckets" : [ { "val" : "Hiking", "count" : 34, "x" : 135.25, "y" : 17, }, { "val" : "Running", "count" : 45, "x" : 110.75, "y" : 24, }, Calculated per-‐bucket
- 19. 19 © Cloudera, Inc. All rights reserved. Sub-‐facet example json.facet={ shoes:{ type : terms, field : shoe_style, sort : {x : desc}, facet : { x : "avg(price)", y : "unique(brand)", colors : { type : terms, field : color } } } } "facets": { "count" : 472, "shoes": { "buckets" : [ { "val" : "Hiking", "count" : 34, "x" : 135.25, "y" : 17, "colors" : { "buckets" : [ { "val" : "brown", "count" : 12 }, { "val" : "black", "count" : 10 }, […] ] } // end of colors sub-‐facet }, // end of Hiking bucket { "val" : "Running", "count" : 45, "x" : 110.75, "y" : 24, "colors" : { "buckets" : […]
- 20. 20 © Cloudera, Inc. All rights reserved. BI Usecase
- 21. 21 © Cloudera, Inc. All rights reserved. Fantasy ($1045) Top Authors $423 George R.R. Mar=n $347 Brandon Sanderson $155 JK Rowling Top Books $252 A Game of Thrones $113 Emperor of Thorns $101 Nine Princes in Amber $82 Steel Heart Sci-‐Fi ($898) Top Authors $321 Iain M Banks $218 Neal Asher $155 Neal Stephenson Top Books $113 Gridlinked $101 Use of Weapons $93 Snow Crash $82 The Skinner Mystery ($645) Top Authors $191 James PaMerson $145 Patricia Cornwell $126 John Grisham Top Books $85 One for the Money $77 Angels & Daemons $64 ShuMer Island $35 The Firm Filter By State $852 NJ (14 stores) $658 NY (11 stores) $421 CT (8 stores) Chain $984 Amazoon (14 stores) $734 Houses&Royalty (9 stores) $387 Books-‐r-‐us (7 stores) Store $108 Amazoon Branchburg $93 Books-‐r-‐us Bridgewater $87 H&R NYC Number of Books Chain 201K Houses&Royalty 183K Amazoon 98K Books-‐r-‐us Store 193K H&R NYC 77K Books-‐r-‐us Bridgewater 68K Amazoon Branchburg
- 22. 22 © Cloudera, Inc. All rights reserved. date_breakout : { type : range, field : sale_date, start : ..., end : ..., gap : "+1MONTH”, facet : { top_genres : { type : terms field : genre, sort : "revenue desc", limit : 4, facet : { revenue : "sum(sales)" } }, by_chain: { type : terms, field : chain, facet : { revenue : "sum(sales)" } } Implementa=on Range Facet (sale_date) Terms Facet (genre) Terms Facet (chain) sum(sales) sum(sales)
- 23. 23 © Cloudera, Inc. All rights reserved. Fantasy ($1045) Top Authors $423 George R.R. Mar=n $347 Brandon Sanderson $155 JK Rowling Top Books $252 A Game of Thrones $113 Emperor of Thorns $101 Nine Princes in Amber $82 Steel Heart Sci-‐Fi ($898) Top Authors $321 Iain M Banks $218 Neal Asher $155 Neal Stephenson Top Books $113 Gridlinked $101 Use of Weapons $93 Snow Crash $82 The Skinner Mystery ($645) Top Authors $191 James PaMerson $145 Patricia Cornwell $126 John Grisham Top Books $85 One for the Money $77 Angels & Daemons $64 ShuMer Island $35 The Firm top_genres:{ type : terms, field : genre, facet : { rev : "sum(sales)", top_authors:{ type : terms, field : author, sort :"rev desc", limit : 3, facet : { rev : "sum(sales)" } }, top_books:{ type : terms, field : =tle, sort : "rev desc", limit : 4, facet : { rev : "sum(sales)" } } } Implementa=on (con=nued) Terms Facet (genre) Terms Facet (author) Terms Facet (=tle) sum(sales) sum(sales) sum(sales)
- 24. 24 © Cloudera, Inc. All rights reserved. Performance
- 25. 25 © Cloudera, Inc. All rights reserved. facet=true&stats=true &stats.field={!tag=stat1+mean=true}field2 &facet.pivot={!stats=stat1}field1 &f.field1.limit=10 json.facet={ f : { type : terms, field : field1, facet:{ mean:"avg(field2)" } } } Tested Facet Request Legacy (stats component & pivot facets) JSON Facet API (New Facet Module)
- 26. 26 © Cloudera, Inc. All rights reserved.
- 27. 27 © Cloudera, Inc. All rights reserved.
- 28. 28 © Cloudera, Inc. All rights reserved. Nested Documents
- 29. 29 © Cloudera, Inc. All rights reserved. Indexing Nested Documents id : book1 =tle : The Way of Kings author : Brandon Sanderson id : book1_review1 review_author : Yonik stars : 5 comment : A great start to what ... id : book1_review2 review_author : Dan stars : 3 comment : This book was too long id : book2 =tle : Snow Crash author : Neal Stephenson id : book2_review1 review_author : Yonik stars : 5 comment : Ahead of it's =me ... book1_review1 book1_review2 book1 book2_review1 book2 Lucene index view (flat) • Group indexed as a "block" • atomic • internal document ids con=guous • enables quick and inexpensive joins
- 30. 30 © Cloudera, Inc. All rights reserved. Indexing Nested Documents (JSON format) { id : book1, type : book, =tle : "The Way of Kings", author : "Brandon Sanderson", genre : fantasy, pubyear : 2010, publisher : Tor, _childDocuments_ : [ { id : book1_review1, type : review, review_dt:"2015-‐01-‐03T14:30:00Z", stars : 5, review_author : Yonik, comment : "A great start to what looks like an epic series!" } , { id : book1_review2, type : review, review_dt:"2015-‐03-‐15T12:00:00Z", stars : 3, review_author : Dan, comment : "This book was too long." } ] }
- 31. 31 © Cloudera, Inc. All rights reserved. Block Join Queries Find reviews men=oning "epic", limi=ng to reviews for books published by Tor Find books published by Tor with a review men=oning "epic" q=comment:epic fq={!child of="type:book"}publisher:Tor sort=review_dt desc q=publisher:Tor fq={!parent which="type:book"}comment:epic sort=pubyear desc
- 32. 32 © Cloudera, Inc. All rights reserved. Block Join Face=ng (child to parent) • Find the number of books I (Yonik) reviewed, broken out by Genre q=review_author:Yonik& json.facet={ genres : { type : terms, field : genre, domain : { blockParent : "type:book" } } }
- 33. 33 © Cloudera, Inc. All rights reserved. Block Join Face=ng (parent to child) • Find the top reviewers for sci-‐fi and fantasy books q=genre:(sci-‐fi OR fantasy)& json.facet={ top_reviewers : { type: terms, field: review_author, domain: { blockChildren : "type:book" } } }
- 34. 34 © Cloudera, Inc. All rights reserved. Thank you [email protected]