{"id":367,"date":"2015-11-10T01:08:32","date_gmt":"2015-11-10T01:08:31","guid":{"rendered":"https:\/\/www.couchbase.com\/blog\/covering-indexes-for-n1ql\/"},"modified":"2015-11-10T01:08:32","modified_gmt":"2015-11-10T01:08:31","slug":"covering-indexes-for-n1ql","status":"publish","type":"post","link":"https:\/\/www.couchbase.com\/blog\/es\/covering-indexes-for-n1ql\/","title":{"rendered":"Covering Indexes in 4.1 Developer Preview : We\u2019ve got you \u201ccovered\u201d"},"content":{"rendered":"\n

With the Couchbase Server <\/span>4.0 GA <\/span><\/a>– we gave you N1QL which was a key enabler to Develop with Agility, and Operate at Scale! Now, we are pleased to announce the <\/span>developer preview release of 4.1<\/span><\/a> – which has valuable stability fixes. Embedded within that is a key feature called Covering Indexes. <\/span><\/p>\n\n\n\n

Covering Index is an exciting new N1QL feature in 4.1 release which provides the ability for an application, that leverages it appropriately, to recognize a noticeable query performance improvement in many cases. A covered query is a N1QL query in which all the fields in the query are part of an index, and all the fields returned in the query are in the same index.<\/span><\/p>\n\n\n\n

Prior to this improvement, if you take a look at the query execution flow, it is as follows:<\/span><\/p>\n\n\n\n

    \n
  1. \n

    The application client issues a query request to the server via a Rest API<\/span><\/p>\n<\/li>\n\n\n

  2. \n

    The query service goes through a Parsing and Analysis phase, and generates a Query Plan.<\/span><\/p>\n<\/li>\n\n\n

  3. \n

    The query service issues scan requests to the Index Service if there is a valid index for the situation<\/span><\/p>\n<\/li>\n\n\n

  4. \n

    Gets back the qualified document keys from the Index service<\/span><\/p>\n<\/li>\n\n\n

  5. \n

    Sends the document keys to the Data Service (a \u2018fetch request\u2019)<\/span><\/p>\n<\/li>\n\n\n

  6. \n

    Gets the documents back from the Data Service<\/span><\/p>\n<\/li>\n\n\n

  7. \n

    Evaluates the documents (re-apply filter criteria etc)<\/span><\/p>\n<\/li>\n\n\n

  8. \n

    Sends the final filtered results back to the client<\/span><\/p>\n<\/li>\n\n<\/ol>\n\n\n\n

    In a well designed application, the steps 5 and 6 can be avoided using a covering index (which we highly recommend as the best practice), and that can result in a demonstrable performance improvement.<\/span><\/p>\n\n\n\n

    The EXPLAIN statement in N1QL allows you to see the query execution plan. When a covering index is used for query execution, the EXPLAIN will now show that a covering index is used for data access (and key-value document fetches and associated overhead are avoided).<\/span><\/p>\n\n\n\n

    Let\u2019s say that we create an index on the attribute \u201cstate\u201d in the beer-sample bucket.<\/span><\/p>\n\n\n\n

    CREATE INDEX idxstate ON `beer-sample`(state) USING GSI<\/span><\/p>\n\n\n\n

    Now if we select state from beer-sample, since all the data that is to be returned is present in the index, we can avoid key-value data fetches, and just return the data based on the index.<\/span><\/p>\n\n\n\n

    EXPLAIN SELECT state FROM `beer-sample\u2019 WHERE state = \u201cCA\u201d<\/span><\/p>\n\n\n\n

    “results”: [<\/span><\/p>\n\n\n\n

    \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0{<\/span><\/p>\n\n\n\n

    \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>\u00a0\u00a0\u00a0 <\/span>“#operator”: “Sequence”,<\/span><\/p>\n\n\n\n

    \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>\u00a0\u00a0\u00a0 <\/span>“~children”: [<\/span><\/p>\n\n\n\n

    \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>\u00a0\u00a0\u00a0 <\/span>{<\/span><\/p>\n\n\n\n

    \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>\u00a0\u00a0\u00a0 <\/span>“#operator”: “<\/span>IndexScan<\/span>“,<\/span><\/p>\n\n\n\n

    \u00a0\u00a0\u00a0\u00a0\u00a0<\/span>\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>“covers”: [<\/span><\/p>\n\n\n\n

    \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>\u00a0\u00a0\u00a0 <\/span>“cover((`beer-sample`.`state`))”<\/span><\/p>\n\n\n\n

    \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>\u00a0\u00a0\u00a0 <\/span>],<\/span><\/p>\n\n\n\n

    \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>\u00a0\u00a0\u00a0 <\/span>“index”: “idxstate”,<\/span><\/p>\n\n\n\n

    \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>\u00a0\u00a0\u00a0 <\/span>“keyspace”: “beer-sample”,<\/span><\/p>\n\n\n\n

    \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>\u00a0\u00a0\u00a0 <\/span>“namespace”: “default”,<\/span><\/p>\n\n\n\n

    \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>\u00a0\u00a0\u00a0 <\/span>“spans”: [<\/span><\/p>\n\n\n\n

    \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>\u00a0\u00a0\u00a0 <\/span>{<\/span><\/p>\n\n\n\n

    \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>\u00a0\u00a0\u00a0 <\/span>“Range”: {<\/span><\/p>\n\n\n\n

    \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0“High”: [<\/span><\/p>\n\n\n\n

    \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0“”CA””<\/span><\/p>\n\n\n\n

    \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>\u00a0\u00a0\u00a0 <\/span>],<\/span><\/p>\n\n\n\n

    \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0“Inclusion”: 3,<\/span><\/p>\n\n\n\n

    \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>\u00a0\u00a0\u00a0 <\/span>“Low”: [<\/span><\/p>\n\n\n\n

    \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0“”CA””<\/span><\/p>\n\n\n\n

    \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>\u00a0\u00a0\u00a0 <\/span>]<\/span><\/p>\n\n\n\n

    \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>\u00a0\u00a0\u00a0 <\/span>}<\/span><\/p>\n\n\n\n

    \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>\u00a0\u00a0\u00a0 <\/span>}<\/span><\/p>\n\n\n\n

    \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>\u00a0\u00a0\u00a0 <\/span>],<\/span><\/p>\n\n\n\n

    \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>\u00a0\u00a0\u00a0 <\/span>“using”: “gsi”<\/span><\/p>\n\n\n\n

    Note:<\/span> The same index is NOT a covering index if the query were to be slightly modified.<\/span><\/p>\n\n\n\n

    EXPLAIN SELECT state, city FROM `beer-sample` WHERE STATE = “CA”;<\/span><\/p>\n\n\n\n

    It still uses the idxstate index, however, since the index does NOT contain the city information, it uses the index for faster lookup, but not as a covering index.<\/span><\/p>\n\n\n\n

    {<\/span><\/p>\n\n\n\n

    \u00a0\u00a0\u00a0 <\/span>“requestID”: “c60b10d2-2cab-4b6a-987c-e5e6ebe4a900”,<\/span><\/p>\n\n\n\n

    \u00a0\u00a0\u00a0 <\/span>“signature”: “json”,<\/span><\/p>\n\n\n\n

    \u00a0\u00a0\u00a0 <\/span>“results”: [<\/span><\/p>\n\n\n\n

    \u00a0\u00a0\u00a0<\/span>\u00a0\u00a0\u00a0 <\/span>{<\/span><\/p>\n\n\n\n

    \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>\u00a0\u00a0\u00a0 <\/span>“#operator”: “Sequence”,<\/span><\/p>\n\n\n\n

    \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>\u00a0\u00a0\u00a0 <\/span>“~children”: [<\/span><\/p>\n\n\n\n

    \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>\u00a0\u00a0\u00a0 <\/span>{<\/span><\/p>\n\n\n\n

    \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>\u00a0\u00a0\u00a0 <\/span>“#operator”: “<\/span>IndexScan<\/span>“,<\/span><\/p>\n\n\n\n

    \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>\u00a0\u00a0\u00a0 <\/span>“index”: “idxstate”,<\/span><\/p>\n\n\n\n

    \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>\u00a0\u00a0\u00a0 <\/span>“keyspace”: “beer-sample”,<\/span><\/p>\n\n\n\n

    \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>\u00a0\u00a0\u00a0 <\/span>“namespace”: “default”,<\/span><\/p>\n\n\n\n

    \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>\u00a0\u00a0\u00a0 <\/span>“spans”: [<\/span><\/p>\n\n\n\n

    \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>\u00a0\u00a0\u00a0 <\/span>{<\/span><\/p>\n\n\n\n

    \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>\u00a0\u00a0\u00a0 <\/span>“Range”: {<\/span><\/p>\n\n\n\n

    \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>\u00a0\u00a0\u00a0 <\/span>“High”: [<\/span><\/p>\n\n\n\n

    \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>\u00a0\u00a0\u00a0 <\/span>“”CA””<\/span><\/p>\n\n\n\n

    \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>\u00a0\u00a0\u00a0 <\/span>],<\/span><\/p>\n\n\n\n

    \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>\u00a0\u00a0\u00a0 <\/span>“Inclusion”: 3,<\/span><\/p>\n\n\n\n

    \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>\u00a0\u00a0\u00a0 <\/span>“Low”: [<\/span><\/p>\n\n\n\n

    \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>\u00a0\u00a0\u00a0 <\/span>“”CA””<\/span><\/p>\n\n\n\n

    \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>\u00a0\u00a0\u00a0 <\/span>]<\/span><\/p>\n\n\n\n

    \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>\u00a0\u00a0\u00a0 <\/span>}<\/span><\/p>\n\n\n\n

    \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>\u00a0\u00a0\u00a0 <\/span>}<\/span><\/p>\n\n\n\n

    \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>\u00a0\u00a0\u00a0 <\/span>],<\/span><\/p>\n\n\n\n

    \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>\u00a0\u00a0\u00a0 <\/span>“using”: “gsi”<\/span><\/p>\n\n\n\n

    \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>\u00a0\u00a0\u00a0 <\/span>},<\/span><\/p>\n\n\n\n

    \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>\u00a0\u00a0\u00a0 <\/span>{<\/span><\/p>\n\n\n\n

    \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>\u00a0\u00a0\u00a0 <\/span>“#operator”: “Parallel”,<\/span><\/p>\n\n\n\n

    \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>\u00a0\u00a0\u00a0 <\/span>“~child”: {<\/span><\/p>\n\n\n\n

    \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>\u00a0\u00a0\u00a0 <\/span>“#operator”: “Sequence”,<\/span><\/p>\n\n\n\n

    \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>\u00a0\u00a0\u00a0 <\/span>“~children”: [<\/span><\/p>\n\n\n\n

    \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>\u00a0\u00a0\u00a0 <\/span>{<\/span><\/p>\n\n\n\n

    \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>\u00a0\u00a0\u00a0 <\/span>“<\/span>#operator”: “Fetch”,<\/span><\/p>\n\n\n\n

    \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>\u00a0\u00a0\u00a0 <\/span>“keyspace”: “beer-sample”,<\/span><\/p>\n\n\n\n

    \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>\u00a0\u00a0\u00a0 <\/span>“namespace”: “default”<\/span><\/p>\n\n\n\n

    \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>\u00a0\u00a0\u00a0 <\/span>},<\/span><\/p>\n\n\n\n

    \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>\u00a0\u00a0\u00a0 <\/span>{<\/span><\/p>\n\n\n\n

    \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>\u00a0\u00a0\u00a0 <\/span>“#operator”: “Filter”,<\/span><\/p>\n\n\n\n

    \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>\u00a0\u00a0\u00a0 <\/span>“condition”: “((`beer-sample`.`state`) = “CA”)”<\/span><\/p>\n\n\n\n

    \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>\u00a0\u00a0\u00a0 <\/span>},<\/span><\/p>\n\n\n\n

    \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>\u00a0\u00a0\u00a0 <\/span>{<\/span><\/p>\n\n\n\n

    \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>\u00a0\u00a0\u00a0 <\/span>“#operator”: “InitialProject”,<\/span><\/p>\n\n\n\n

    \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>\u00a0\u00a0\u00a0 <\/span>“result_terms”: [<\/span><\/p>\n\n\n\n

    \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>\u00a0\u00a0\u00a0 <\/span>{<\/span><\/p>\n\n\n\n

    \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>\u00a0\u00a0\u00a0 <\/span>“expr”: “(`beer-sample`.`state`)”<\/span><\/p>\n\n\n\n

    \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>\u00a0\u00a0\u00a0 <\/span>},<\/span><\/p>\n\n\n\n

    \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>\u00a0\u00a0\u00a0 <\/span>{<\/span><\/p>\n\n\n\n

    \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>\u00a0\u00a0\u00a0 <\/span>“expr”: “(`beer-sample`.`city`)”<\/span><\/p>\n\n\n\n

    \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>\u00a0\u00a0\u00a0 <\/span>}<\/span><\/p>\n\n\n\n

    \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>\u00a0\u00a0\u00a0 <\/span>]<\/span><\/p>\n\n\n\n

    \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>\u00a0\u00a0\u00a0 <\/span>},<\/span><\/p>\n\n\n\n

    \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>\u00a0\u00a0\u00a0 <\/span>{<\/span><\/p>\n\n\n\n

    \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>\u00a0\u00a0\u00a0 <\/span>“#operator”: “FinalProject”<\/span><\/p>\n\n\n\n

    \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>\u00a0\u00a0\u00a0 <\/span>}<\/span><\/p>\n\n\n\n

    \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>\u00a0\u00a0\u00a0 <\/span>]…rest omitted for brevity<\/span><\/p>\n\n\n\n

    How do we then convert this modified query to use a covering index?<\/span>
    Here you go,<\/span><\/p>\n\n\n\n

    CREATE INDEX idxstatecity ON `beer-sample` (state, city) USING GSI<\/span><\/p>\n\n\n\n

    Now, if we execute the query:<\/span><\/p>\n\n\n\n

    EXPLAIN SELECT state, city <\/span><\/p>\n\n\n\n

    FROM `beer-sample` USE INDEX (idxstatecity) <\/span><\/p>\n\n\n\n

    WHERE STATE = “CA” ;<\/span><\/p>\n\n\n\n

    Bingo! It becomes a query that uses a covering index<\/span><\/p>\n\n\n\n

    \u00a0\u00a0\u00a0\u00a0<\/span><\/p>\n\n\n\n

    \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>\u00a0\u00a0\u00a0 <\/span>{<\/span><\/p>\n\n\n\n

    \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>\u00a0\u00a0\u00a0 <\/span>“#operator”: “IndexScan”,<\/span><\/p>\n\n\n\n

    \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>\u00a0\u00a0\u00a0 <\/span>“covers”: [<\/span><\/p>\n\n\n\n

    \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>\u00a0\u00a0\u00a0 <\/span>“cover((meta(`beer-sample`).`id`))”,<\/span><\/p>\n\n\n\n

    \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>\u00a0\u00a0\u00a0 <\/span>“cover((`beer-sample`.`state`))”,<\/span><\/p>\n\n\n\n

    \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>\u00a0\u00a0\u00a0 <\/span>“cover((`beer-sample`.`city`))”<\/span><\/p>\n\n\n\n

    \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>\u00a0\u00a0\u00a0 <\/span>],<\/span><\/p>\n\n\n\n

    \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>\u00a0\u00a0\u00a0 <\/span>“index”: “idxstatecity”,<\/span><\/p>\n\n\n\n

    \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>\u00a0\u00a0\u00a0 <\/span>“keyspace”: “beer-sample”,<\/span><\/p>\n\n\n\n

    \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>\u00a0\u00a0\u00a0 <\/span>“namespace”: “default”,<\/span><\/p>\n\n\n\n

    \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>\u00a0\u00a0\u00a0 <\/span>“spans”: [<\/span><\/p>\n\n\n\n

    \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>\u00a0\u00a0\u00a0 <\/span>{<\/span><\/p>\n\n\n\n

    \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>\u00a0\u00a0\u00a0 <\/span>“Range”: {<\/span><\/p>\n\n\n\n

    \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>\u00a0\u00a0\u00a0 <\/span>“High”: [<\/span><\/p>\n\n\n\n

    \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>\u00a0\u00a0\u00a0 <\/span>“successor(“CA”)”<\/span><\/p>\n\n\n\n

    \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>\u00a0\u00a0\u00a0 <\/span>],<\/span><\/p>\n\n\n\n

    \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>\u00a0\u00a0\u00a0 <\/span>“Inclusion”: 1,<\/span><\/p>\n\n\n\n

    \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>\u00a0\u00a0\u00a0 <\/span>“Low”: [<\/span><\/p>\n\n\n\n

    \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>\u00a0\u00a0\u00a0 <\/span>“”CA””<\/span><\/p>\n\n\n\n

    \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>\u00a0\u00a0\u00a0 <\/span>]<\/span><\/p>\n\n\n\n

    \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>\u00a0\u00a0\u00a0 <\/span>}<\/span><\/p>\n\n\n\n

    \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>\u00a0\u00a0\u00a0 <\/span>}<\/span><\/p>\n\n\n\n

    \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>\u00a0\u00a0\u00a0 <\/span>],<\/span><\/p>\n\n\n\n

    \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>\u00a0\u00a0\u00a0 <\/span>“using”: “gsi”<\/span><\/p>\n\n\n\n

    \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>\u00a0\u00a0\u00a0 <\/span>},<\/span><\/p>\n\n\n\n

    \u00a0\u00a0<\/span><\/p>\n\n\n\n

    EXPRESSIONS AND AGGREGATES<\/span><\/p>\n\n\n\n

    Queries with expressions and aggregates can benefit from covering index as well.<\/span><\/p>\n\n\n\n

    CREATE INDEX idxstatecountry ON `beer-sample`(state, country) USING GSI<\/span><\/p>\n\n\n\n

    SELECT country, max(state) <\/span><\/p>\n\n\n\n

    FROM `beer-sample` USE INDEX (idxstatecountry)<\/span><\/p>\n\n\n\n

    WHERE STATE LIKE ‘%’ <\/span><\/p>\n\n\n\n

    GROUP BY country<\/span><\/p>\n\n\n\n

    UNION \/ INTERSECT \/ EXCEPT <\/span><\/p>\n\n\n\n

    These are supported as well for covering indexes<\/span><\/p>\n\n\n\n

    SELECT COUNTRY <\/span><\/p>\n\n\n\n

    FROM `beer-sample` <\/span><\/p>\n\n\n\n

    WHERE STATE = ‘CA’<\/span><\/p>\n\n\n\n

    UNION ALL<\/span><\/p>\n\n\n\n

    SELECT COUNTRY <\/span><\/p>\n\n\n\n

    FROM `beer-sample` <\/span><\/p>\n\n\n\n

    WHERE STATE = ‘Texas’<\/span><\/p>\n\n\n\n

    And since the index is already sorted, when you use ORDER BY in the case of a covering index, there is an added benefit of the query engine already being able to use a sorted index.<\/span><\/p>\n\n\n\n

    Please refer to our <\/span>documentation<\/span><\/a> for more information and more scenarios where covering indexes will be useful to you. <\/span><\/p>\n\n\n\n

    We strongly encourage you to try this feature in 4.1 developer preview, and give us your valuable <\/span>feedback<\/span><\/a>. <\/span><\/p>\n\n\n\n

    You may also want to try out N1QL using the Developer Preview of the <\/span>Query Workbench<\/span><\/a>, \u00a0which provides a nice GUI for writing and executing N1QL queries.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

    With the Couchbase Server 4.0 GA – we gave you N1QL which was a key enabler to Develop with Agility, and Operate at Scale! Now, we are pleased to announce the developer preview release of 4.1 – which has valuable stability fixes. Embedded within that is a key feature called Covering Indexes. Covering Index is […]<\/p>\n","protected":false},"author":39,"featured_media":18,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"categories":[1],"tags":[],"ppma_author":[138],"class_list":["post-367","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized"],"yoast_head":"\nCovering Indexes in 4.1 Developer Preview Release<\/title>\n<meta name=\"description\" content=\"Learn more about the new feature "Covering Indexes" embedded in the developer preview release of 4.1 which has valuable stability fixe\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.couchbase.com\/blog\/es\/covering-indexes-for-n1ql\/\" \/>\n<meta property=\"og:locale\" content=\"es_MX\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Covering Indexes in 4.1 Developer Preview : We\u2019ve got you \u201ccovered\u201d\" \/>\n<meta property=\"og:description\" content=\"Learn more about the new feature "Covering Indexes" embedded in the developer preview release of 4.1 which has valuable stability fixe\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.couchbase.com\/blog\/es\/covering-indexes-for-n1ql\/\" \/>\n<meta property=\"og:site_name\" content=\"The Couchbase Blog\" \/>\n<meta property=\"article:published_time\" content=\"2015-11-10T01:08:31+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/5\/2026\/05\/couchbase-nosql-dbaas.png\" \/>\n\t<meta property=\"og:image:width\" content=\"1800\" \/>\n\t<meta property=\"og:image:height\" content=\"630\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"author\" content=\"Ilam Siva, SR. 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