Cloudant Querying Options

Transcription

1 Cloudant Querying Options

2 Agenda Indexing Options Primary Views/MapReduce Search Geospatial Cloudant Query Review What s New Live Tutorial 5/20/15 2

3 Reading & Writing Basics POST /<database> /_bulk_docs GET /<database>/<doc_id> /_all_docs 5/20/15 3

4 Indexes & Queries 5/20/15 4

5 Options Primary Secondary/Views (MapReduce) Cloudant Query Search (Lucene) Geospatial 5/20/15 5

6 Cloudant Indexes Primary Index Exists out-of-the-box Views (MapReduce), Search & Geospatial Indexes Define access patterns, not just for speed-ups Built incrementally Index functions are written in JavaScript Stored in _design documents

7 Primary Index /_all_docs?startkey= a &endkey= d &include_docs=true Notes Primary Key = doc._id Exists OOTB Stored in a b-tree Use Cases Use when you can find documents based on their _id Pull back a range of keys (_id) Retrieve either only _ids and _revs, or full doc bodies Data exports 5/20/15 7

8 Views (MapReduce) /_design/app/_view/count_by_user?group=true Notes Built using MapReduce Stored in a b- tree Key = userdefined field(s) Use Cases Use when you need to analyze data or get a range of secondary keys Time series analytics Examples: count data fields, sum/average numeric results, advanced stas, group by date, etc. 5/20/15 8

9 Search (Lucene) /_design/app/_search/animals?q=l* AND class:mammal Notes Built using Lucene FTI: Any or all fields can be indexed Use Cases Ad hoc queries Lucene sytnax (wildcards, fuzzy, ranges, etc.) Groups/facets on fields Basic geo: bbox & sort by distance 5/20/15 9

10 Geospatial /_design/app/_geo/geoidx?lat=-42&lon=-71&radius=1000 Notes Stored in R* tree TPR/MVR trees for temporal Lat/long coordinates stored in GeoJSON Use Cases Complex geometries (polygon, circularstring, etc.) Advanced relations (intersect, overlaps, etc.) 5/20/15 10

11 Cloudant Query 5/20/15 11

12 Cloudant Query is the place to start Cloudant Query is designed to be the logical starting point for developers new to Cloudant and to CouchDB In fact, we re contributing it back to the Apache CouchDB project "Apache", "CouchDB", "Apache CouchDB" and the CouchDB logo are trademarks or registered trademarks of The Apache Software Foundation. All other brands and trademarks are the property of their respective owners. 12

13 Cloudant Query Primary Map Adhoc Search _index _find Developer Familiarity SQL-like Mongo-like JSON everywhere Intuitive _design docs JavaScript functions Consistent API Powerful Operators & field filtering Auto-index all Natively compiled 5/20/15 13

14 Cloudant Query _index POST /_index create index type : json for fast lookups on secondary keys type : text for full adhoc querying capability GET /_index list indexes 5/21/15 14

15 Cloudant Query _find POST /_find query your database Operator $lt $lte $eq $ne $gt $gte $text $exists $type $in $nin $size $mod $regex Operator $and $or $not $nor $all Less than Less than or equal to Equal to Not equal to Greater than Greater than or equal to Usage ( text type ONLY) matches any field using default analyzer Boolean (exists or it does not) Check document field s type Field must exist in the provided array of values Field must not exist in the provided array of values Length of array field must match this value [Divisor, Remainder]. Returns true when the field equals the remainder after being divided by the divisor. Matches provided regular expression Usage Matches if all selectors in the array match Matches if any selectors in the array match Matches if the given selector does not match Matches if none of the selectors (multiple) match Matches an array value if it contains all element of argument array $elemmatch Returns first element (if any) matching value of argument 5/21/15 15

16 SQL vs. Cloudant Query selector - which subset of the data to return; the equivalent of the WHERE part of an SQL statement fields - the fields to be returned; the equivalent of the SELECT part of an SQL statement sort - how the result set is to be ordered ; the equivalent of the ORDER BY part of an SQL statement limit - how many results to return 16

17 Let s go to the movies The dataset we re using in the following example is a small subset of IMDB data that the service makes available for non-commercial and educational purposes. Here, we ve denormalized the separate tables for Actor, Movie, and Person to fit within Cloudant s JSON document-oriented model. Replicate me! In accordance with IMDb s Conditions of Use statement, we d like to add: Information courtesy of IMDb ( Used with permission. 17

18 Best Practices on Querying Start with Cloudant Query! Find by _id OOTB Use CQ json for fast lookups on fixed secondary keys Use CQ text for full adhoc querying capability Use MapReduce/Views for online analytical use cases, group-level capabilities, or map-side joins. Use Search for Lucene goodies (wildcards, facets, fuzzy, etc.) or basic geo bbox Use Geospatial for advanced spatial queries, polygons, 4D 5/21/15 18

19 Resources Get an account and try it out: Create an account at Sample db: Check out the full docs for Cloudant Query: Watch videos, read the docs, and try tutorials in the IBM Cloudant Learning Center: 19

20 Thank you! 5/20/15 20

21 Appendix 5/20/15 21

22 Cloudant Index/Query Options Unique to Cloudant (not in CouchDB) Check out Index and Query intro video! CRUD Document Primary Index Secondary Index (view) Search Index Geospatial Index Cloudant Query Direct document lookup by _id Exists OOTB Stored in a b-tree Primary key > doc._id Built by using MapReduce Stored in a b-tree Key > user-defined fields Built by using Lucene FTI: Any or all fields can be indexed Stored in R* tree Lat/Long coordinates in GeoJSON Mongo-style querying Built natively in erlang Wraps Primary, views, and Search Use when you want a single document and can find by its _id Docs For Developers Tutorial Use when you can find documents based on their _id Pull back a range of keys Docs For Developers Tutorial Video Use when you need to analyze data or get a range of keys Examples: count data fields, sum/average numeric results, advanced stats, group by Docs date, and so on. For Developers Tutorial Example Ad hoc queries Find documents based on their contents Can do groups, facets, and basic geo queries (bbox and sort by distance) Docs For Developers Tutorial Example Complex geometries (polygon, circularstring, etc.) Advanced relations (intersect, overlaps, etc.) Docs Example Ad hoc queries Many operators (>, <, IN, OR, AND, and so on) Intuitive for people who come from Mongo or SQL backgrounds Docs Blog post Example

23 Cloudant Index Cheat Sheet Feature CRUD Document Primary Index View (MapReduce) Search Index Geospatial Index Cloudant Query Select ion Group ing Sortin g Result s Primary key lookup X X X X X Primary key range X X X X X Secondary key lookup X X X Secondary key range X X X List of keys X X X X Complex (ex: array) keys X X Adhoc lookup/range on multiple keys X X Boolean operations (AND, OR, NOT, etc.) X X Lucene: wildcards, fuzzy, boosting terms, proximity, facets, analyzers, X etc. Geo: bounding box X X Geo: polygon, geometries, 4D, radius, relations Joins (via map-side linked keys) Group by (count) X X Group by range/facet Group by (analytics) Group by (hierarchical analytics à group_level) Sort by key(s) X X X X Adhoc sort on multiple keys X X Sort by distance 200 results max X X Filter on fields at query time limit X X X X X skip X X X bookmark X X X stale=ok X X X X X X X X X X