Upload
lucidimagination
View
658
Download
1
Embed Size (px)
Citation preview
Solr Performance & Key Innovations
Yonik Seeley, Lucid Imagination [email protected], May 26 2011
Solr 3.1 Highlights § Numeric range facets (similar to date faceting). § New spatial search, including spatial filtering,
boosting and sorting capabilities. § Example Velocity driven search UI at
http://localhost:8983/solr/browse § A new faster termvector-based highlighter. § Extended dismax (edismax) query parser with
support for fielded queries, enhanced relevancy, and full lucene syntax support.
§ Distributed search support for the Spell check and Terms components.
3
Solr 3.1 Highlights (continued) § Suggester, a fast trie-based autocomplete
component. § Sort results by any function query. § JSON document indexing. § CSV response format § Apache UIMA integration for metadata
extraction. § Tons of optimizations, bugfixes, and new
analysis capabilities via Apache Lucene 3.1.
4
What’s not in 3.1? § Result Grouping (AKA Field Collapsing) § Pivot Faceting § SolrCloud § Pseudo-fields § Pseudo-join § Relevancy function queries § Per-segment faceting § *Tons* of new Lucene performance/efficiency
goodness 5
Recent Lucene Performance § TieredMergePolicy – the new default
• Much better for incremental indexing / NRT • Ignores segment order when selecting best merge • Takes deletes into account • Does not over-merge (no cascading merges)
§ Finite State Transducer (FST) based terms index
6
DocumentWriterPerThread (DWPT)
7
_1_0.tiv _1_0.prx _1_0.frq …
_2_0.tiv _2_0.prx _2_0.frq …
_3_0.tiv _3_0.prx _3_0.frq …
Index Writer
DWPT DWPT DWPT
Indexing thread
Flush segment to disk
§ Flushing new segment is now concurrent w/ indexing
§ Use multiple indexing threads/connections
§ When max mem is hit, biggest DWPT is concurrently flushed
in-memory
Solr Cloud
8
shard1(replica1) replica2
replica3
shard2(replica1) replica2
replica3
ZooKeeper quorum
ZK node
ZK node
ZK node
ZK node
ZK node
/configs /myconf solrconfig.xml schema.xml
/livenodes server1:8983/solr server2:8983/solr server2:8983/solr
/collections /collection1 configName=myconf /shards /shard1 server1:8983/solr server2:8983/solr /shard2 server3:8983/solr server4:8983/solr
http://.../solr/collection1?distrib=true
Load-balanced sub-request
Solr Cloud: Getting Started
http://wiki.apache.org/solr/SolrCloud java -‐Dbootstrap_confdir=./solr/conf
-‐Dcollection.configName=myconf -‐DzkRun -‐jar start.jar
Upload /solr/conf to ZK and call it
“myconf”
Run an internal ZK server
http://localhost:8983/solr/collection1/admin/zookeeper.jsp
Distributed Requests l Explicitly specify node addresses to load-balance across
shards=localhost:8983/solr|localhost:8900/solr, localhost:7574/solr|localhost:7500/solr l A list of equivalent nodes are separated by “|” l Different phases of the same distributed request use the same node
l Specify logical shard ids to search across shards=NY_shard,NJ_shard
l Query across all shards in the collection http://localhost:8983/solr/collection1/select?distrib=true
l public CloudSolrServer(String zkHost) l SolrJ Java client that load-balances across all nodes in cluster
Extended Dismax Parser l Superset of dismax l Designed to directly handle user queries w/o exceptions
&defType=edismax&q=foo&qf=body
l Fixes edge cases where dismax could still throw exceptions OR AND NOT -‐ “
l Full lucene syntax support l Tries lucene syntax first l Smart escaping is done if syntax errors
l Optionally supports treating “and”/”or” as AND/OR in lucene syntax
l Fielded queries (e.g. myfield:foo) even in degraded mode l uf parameter controls what field names may be directly specified in “q”
Extended Dismax Parser (continued) l boost parameter for multiplicative boost-by-function l Pure negative query clauses
Example: solr OR (-‐solr) l Enhanced term proximity boosting
l pf2=myfield – results in term bigrams in sloppy phrase queries myfield:“aa bb cc” -‐> myfield:“aa bb” myfield:“bb cc”
l Enhanced stopword handling l stopwords omitted in main query, but added in optional proximity
boosting part Example: q=solr is awesome & qf=myfield & pf2=myfield -‐> +myfield:(solr awesome) (myfield:”solr is” myfield:”is awesome”)
l Currently controlled by the absence of StopWordFilter in index analyzer, and presence in query analyzer
Faceting Performance Improvements
l For facet.method=enum, speed up initial population of the filterCache (i.e. first time facet): from 30% to 32x improvement
l Optimized facet.method=fc for multi-valued fields and large facet.limit – up to 3x faster
l Optimized deep facet paging – up to 10x faster with really large facet.offsets
l Less memory consumed by field cache entries l Per-segment faceting with facet.method=fcs
l Only faster when re-opening index frequently (many times a second) l Only works for single-valued fields
Pivot Faceting l Other names that could have made sense:
l Grid Faceting, Cross-Product Faceting, Matrix Faceting
l Syntax: facet.pivot=field1,field2,field3,…
#docs #docs w/ inStock:true
#docs w/ instock:false
cat:electronics 14 10 4 cat:memory 3 3 0 cat:connector 2 0 2 cat:graphics card 2 0 2 cat:hard drive 2 2 0
facet.pivot=cat,inStock
Pivot Faceting
"facet_counts":{ "facet_pivot":{ "cat,popularity":[{ "field":"cat", "value":"electronics", "count":14, "pivot":[{ "field":"popularity", "value":"6", "count":5}, { "field":"popularity", "value":"7", "count":4},
http://...&facet=true&facet.pivot=cat,popularity (continued)
{ "field":"popularity", "value":"1", "count":2}]}, { "field":"cat", "value":"memory", "count":3, "pivot":[]}, […]
14 docs w/ cat==electronics
5 docs w/ cat==electronics && popularity==6
Range Faceting § Like Date faceting, but
more generic
http://...&facet=true &facet.range=price &facet.range.start=0 &facet.range.end=500 &facet.range.gap=50
"facet_counts":{ "facet_ranges":{ "price":{ "counts":{ "0.0":5, "50.0":2, "100.0":0, "150.0":2, "200.0":0, "250.0":1, "300.0":2, "350.0":2, "400.0":0, "450.0":1}, "gap":50.0, "start":0.0, "end":500.0}}}}
Spatial Search Step1: Index some locations! <field name=“name”>The Alpine Shop</field> <field name=“store”>44.013617,-73.168264</field>
Step2: Decide where you are &pt=44.0153371,-73.16734 &d=1 &sfield=store
Step3: Profit! Spatial Filter: &fq={!geofilt} Bounding Box: &fq={!bbox} Distance Function: &sort=geodist() asc Returning the distance: &fl=geodist()
Note: You can now sort by any arbitrary function query!
Pseudo-fields!
Pseudo-Fields Returns other info along with document stored fields § Function queries
fl=name,location,geodist(),add(myfield,10)
§ Fieldname globs fl=id,attr_*
§ Multiple “fl” (field list) values &fl=id,attr_*&fl=geodist()&fl=termfreq(text,’solr’)
§ Aliasing fl=id,location:loc,_dist_:geodist()
§ Future: inlined highlighting, “explain”, sort-values, group-value
!!!
18
Result Grouping / Field Collapsing
l Goal l Limit the number of results per category l “category” normally defined by unique values in a field
l Uses l Web Search – collapse by web site l Email threads – collapse by thread id l Ecommerce/retail
l Show the top 5 items for each store category (music, movies, etc)
Field Collapsing by Site
Field Collapse on Product Type Result Grouping by Category
Group by Field
http://...&fl=id,name&q=ipod&group=true&group.field=manu_exact "grouped":{
"manu_exact":{ "matches":3, "groups":[{ "groupValue":"Belkin", "doclist":{"numFound":2,"start":0,"docs":[ { "id":"IW-02", "name":"iPod & iPod Mini USB 2.0 Cable"}] }}, { "groupValue":"Apple Computer Inc.", "doclist":{"numFound":1,"start":0,"docs":[ { "id":"MA147LL/A", "name":"Apple 60 GB iPod with Video Playback
Black"}] }}]}}}
Group by Query http://...&group=true&group.query=price:[0 TO 99.99]
&group.query=price:[100 TO *]&group.limit=5 "grouped":{
"price:[0 TO 99.99]":{ "matches":3, "doclist":{"numFound":2,"start":0,"docs":[ { "id":"IW-02", "name":"iPod & iPod Mini USB 2.0 Cable"}, { "id":"F8V7067-APL-KIT", "name":"Belkin Mobile Power Cord for iPod"}] }}, "price:[100 TO *]":{ "matches":3, "doclist":{"numFound":1,"start":0,"docs":[ { "id":"MA147LL/A", "name":"Apple 60 GB iPod with Video Playback
Black"}] }}}}
Grouping Params parameter meaning default
group.field=<field> Like facet.field – group by unique field values
group.query=<query> Like facet.query – top docs that also match
group.function=<function query>
Group by unique values produced by the function query
group.limit=<n> How many docs per group 1
group.sort=<sort spec> How to sort documents within a group Same as sort
rows=<n> How many groups to return 10
sort=<sort spec> How to sort the groups relative to each other (based on top doc)
group.format=<format> grouped/simple – if simple, a single flat list is used and rows units are “docs”
grouped
group.main=true/false If true, the first field grouping command is used as main result set
false
Pseudo-Join
25
id: blog1 name: Solr ‘n Stuff owner: Yonik Seeley Started: 2007-10-26
id: blog2 name: lifehacker owner: Gawker Media started: 2005-1-31
id: post1 blog_id: blog1 author: Yonik Seeley title: Solr relevancy function queries body: Lucene’s default ranking […]
id: post2 blog_id: blog1 author: Yonik Seeley title: Solr result grouping body: Result Grouping, also called […]
id: post3 blog_id: blog2 author: Whitson Gordon title: How to Install Netflix on Almost
Any Android Device fq={!join from=blog_id to=id}body:netflix
- Finds all documents matching “netflix” - Maps to different docs by following blog_id to id
Restrict to blogs mentioning netflix
Pseudo-Join Examples § Only show posts from blogs started after 2010
q=foo&fq={!join from=id to=blog_id}started:[2010 TO *]
§ If any post in a blog mentions “obama”, then search all posts in that blog for “bomb” (self-join) q=bomb&fq={!join from=blog_id to=blog_id}obama
§ If any blog post mentions “obama”, then search all websites with the same blog owner for “bomb” q=bomb&fq={!join from=owner to=website_owner}{!join from=blog_id to=id}obama
26
Cross-Core Join
http://localhost:8983/solr/collection1/select?q=foo&fq={!join fromIndex=sec1 from=security_groups to=security}user:john
27
id: doc1 security: managers title: doc for managers only body: …
id: mary security_groups: managers, employees
id: doc1 security: managers, employees title: doc for everyone body: …
id: john security_groups: employees
collection1 sec1
Single Solr Server
Pseudo-Join vs Grouping Pseudo-Join Result Grouping / Field Collapsing
O(n_terms_in_join_fields) O(n_docs_in_result)
Single or multi-valued fields Single-valued fields only
Filters only (no info currently passed from the “from” docs to the “to” docs).
Can order docs within a group and groups by top doc within that group using normal sort criteria.
Chainable (one join can be the input to another)
Not currently chainable – can only group one field deep
Affects which documents match a request, so naturally affects facet numbers (e.g. you can search posts and get numbers of blogs)
Grouping does not currently affect the set of documents matching the query, so faceting is unaffected.
28
Auto-Suggest l Many people previously used terms component
l Can be slow for a large corpus
l New auto-suggest builds off SpellCheck component l TST implementation: compact memory based trie l FST implementation: slower to build, but smaller & faster lookup l Based on a field in the main index, or on a dictionary file
http://localhost:8983/solr/suggest?wt=json&indent=true&q=ult
29
"spellcheck":{ "suggestions":[ "ult",{ "numFound":1, "startOffset":0, "endOffset":3, "suggestion":["ultrasharp"]}, "collation","ultrasharp"]}}
Index with JSON $ URL=http://localhost:8983/solr/update/json $ curl $URL -‐H 'Content-‐type:application/json' -‐d ’ [ { "id" : "978-‐0641723445", "cat" : ["book","hardcover"], "title" : "The Lightning Thief", "author" : "Rick Riordan", "series_t" : "Percy Jackson and the Olympians", "sequence_i" : 1, "genre_s" : "fantasy", "inStock" : true, "price" : 12.50, "pages_i" : 384 } ]'
Query Results in CSV
http://localhost:8983/solr/select?q=ipod&fl=name,price,cat,popularity&wt=csv name,price,cat,popularity iPod & iPod Mini USB 2.0 Cable,11.5,"electronics,connector",1 Belkin Mobile Power Cord for iPod w/ Dock,19.95,"electronics,connector",1 Apple 60 GB iPod with Video Playback Black,399.0,"electronics,music",10 l Can handle multi-valued fields (see “cat” field in example) l Completely compatible with the CSV update handler (can round-trip) l Results are streamed – good for dumping entire parts of the index
http://localhost:8983/solr/browse
Q&A