Creating selector expressions

Sort syntax

The sort field contains a list of field name and direction pairs, expressed as a basic array. The first field name and direction pair are the topmost-level of sort. Further pairs, if provided, specify the next level of sort.

The sort field can be any field. Use dotted notation if needed for subfields.

The direction value is asc for ascending, and desc for descending.

If you exclude the direction value, the default asc is used.

See the following example of simple sort syntax:

[
	{
		"fieldName1": "desc"
	},
	{
		"fieldName2": "desc"
	}
]

See the following example of simple sort, assuming default direction of "ascending" for both fields:

[
	"fieldNameA", "fieldNameB"
]

A typical requirement is to search for some content by using a selector, then to sort the results according to the specified field, in the direction preferred.

To use sorting, an index containing the sort fields must be defined. If using json index, the fields must be specified in the same order as the sort.

Currently, IBM Cloudant Query doesn't support multiple fields with different sort orders, so the direction must either be all ascending or all descending.

If the direction is ascending, you can use a string instead of an object to specify the sort fields.

For field names in sort queries against a text index where the type of the field being sorted cannot be determined, it may be necessary for a field type to be specified. For example:

{
	"<fieldname>:string": "asc"
}

A text index of all fields in all documents is created when you use the syntax: "index": {}.

The sorting order is undefined when fields contain different data types. This characteristic is an important difference between text and view indexes. Sorting behavior for fields with different data types might change in future versions.

See the following example of a simple query that uses sorting:

{
	"selector": {
		"Actor_name": "Robert De Niro"
	},
	"sort": [
		{
			"Actor_name": "asc"
		},
		{
			"Movie_runtime": "asc"
		}
	]
}

Filtering fields

It's possible to specify exactly which fields are returned for a document when you select from a database. The two advantages are shown in the following list:

• Your results are limited to only those parts of the document that are needed for your application.
• A reduction in the size of the response.

The fields to be returned are specified as an array.

Only the specified filter fields are included in the response. _id or other metadata fields aren't automatically included.

See the following example of selective retrieval of fields from matching documents:

{
	"selector": {
		"Actor_name": "Robert De Niro"
	},
	"fields": [
		"Actor_name",
		"Movie_year",
		"_id",
		"_rev"
	]
}

Pagination

IBM Cloudant Query supports pagination by the bookmark field. Every _find response contains a bookmark - a token that IBM Cloudant uses to determine where to resume from when later queries are made. To get the next set of query results, add the bookmark that was received in the previous response to your next request. Remember to keep the selector the same, otherwise you receive unexpected results. To paginate backwards, you can use a previous bookmark to return the previous set of results.

The presence of a bookmark doesn’t guarantee more results. You can test whether you are at the end of the result set by comparing the number of results that are returned with the page size requested. If the results returned are less than limit, no more results were returned in the result set.

Explain plans

IBM Cloudant Query chooses which index to use for responding to a query, unless you specify an index at query time.

When you specify an index to use, IBM Cloudant Query uses the following logic:

• The query planner looks at the selector section, and finds the index with the closest match to operators and fields that are used in the query. If two or more JSON type indexes match, the index with the smallest number of fields in the index is preferred. If two or more candidate indexes still exist, the index with the first alphabetical name is chosen.
• If a json type index and a text type index might both satisfy a selector, the json index is chosen by default.
• The text type index is chosen when the following conditions are met:
  • A json type index and a text type index exist in the same field (for example fieldone).
  • The selector can be satisfied only by using a text type index.

For example, assume that you have a text type index and a json type index for the field foo, and you want to use a selector similar to the following sample:

{
	"foo": {
		"$in": ["red","blue","green"]
	}
}

IBM Cloudant Query uses the text type index because a json type index can't satisfy the selector.

However, you might use a different selector with the same indexes:

{
	"foo": {
		"$gt": 2
	}
}

In this example, IBM Cloudant Query uses the json type index because both types of indexes can satisfy the selector.

To identify which index is being used by a particular query, send a POST to the _explain endpoint for the database, with the query as data. The details of the index in use are shown in the index object within the result.

See the following example that uses HTTP to show how to identify the index that was used to answer a query:

POST /movies/_explain HTTP/1.1
Host: $SERVICE_URL
Content-Type: application/json
{
	"selector": {
		"$text": "Pacino",
		"year": 2010
	}
}

See the following example that uses the command line to show how to identify the index that was used to answer a query:

curl "$SERVICE_URL/movies/_explain" \
	-X POST \
	-H "Content-Type: application/json" \
	-d '{
		"selector": {
			"$text": "Pacino",
			"year": 2010
		}
	}'

import com.ibm.cloud.cloudant.v1.Cloudant;
import com.ibm.cloud.cloudant.v1.model.ExplainResult;
import com.ibm.cloud.cloudant.v1.model.PostExplainOptions;

import java.util.HashMap;
import java.util.Map;

Cloudant service = Cloudant.newInstance();

Map<String, Object> selector = new HashMap<>();
selector.put("$text", "Pacino");
selector.put("year", 2010);

PostExplainOptions explainOptions =
    new PostExplainOptions.Builder()
        .db("movies")
        .selector(selector)
        .build();

ExplainResult response =
    service.postExplain(explainOptions).execute()
        .getResult();

System.out.println(response);

import { CloudantV1 } from '@ibm-cloud/cloudant';

const service = CloudantV1.newInstance({});

let selector: CloudantV1.Selector = {
    '$text': 'Pacino',
    'year': 2010
};

service.postExplain({
  db: 'movies',
  selector: selector
}).then(response => {
  console.log(response.result);
});

from ibmcloudant.cloudant_v1 import CloudantV1

service = CloudantV1.new_instance()

response = service.post_find(
  db='movies',
  selector={'$text': 'Pacino', 'year': 2010}
).get_result()

print(response)

postExplainOptions := service.NewPostExplainOptions(
    "movies",
    map[string]interface{}{
        "$text": "Pacino",
        "year":  2010,
    },
)

explainResult, _, err := service.PostExplain(postExplainOptions)
if err != nil {
  panic(err)
}

b, _ := json.MarshalIndent(explainResult, "", "  ")
fmt.Println(string(b))

The previous Go example requires the following import block:

import (
   "encoding/json"
   "fmt"
   "github.com/IBM/cloudant-go-sdk/cloudantv1"
)

See the following example response that shows which index was used to answer a query:

{
	"dbname": "$ACCOUNT/movies",
	"index": {
		"ddoc": "_design/32372935e14bed00cc6db4fc9efca0f1537d34a8",
		"name": "32372935e14bed00cc6db4fc9efca0f1537d34a8",
		"type": "text",
		"def": {
			"default_analyzer": "keyword",
			"default_field": {},
			"selector": {},
			"fields": []
		}
	},
	"selector": {
		"$and": [
			{
				"$default": {
					"$text": "Pacino"
				}
			},
			{
				"year": {
					"$eq": 2010
				}
			}
		]
	},
	"opts": {
		"use_index": [],
		"bookmark": [],
		"limit": 10000000000,
		"skip": 0,
		"sort": {},
		"fields": "all_fields",
		"r": [
			49
		],
		"conflicts": false
	},
	"limit": 200,
	"skip": 0,
	"fields": "all_fields",
	"query": "(($default:Pacino) AND (year_3anumber:2010))",
	"sort": "relevance"
}

To instruct a query to use a specific index, add the use_index parameter to the query.

The value of the use_index parameter takes one of the following formats:

• "use_index": "$DDOC"
• "use_index": ["$DDOC","$INDEX_NAME"]

See the following example query with instructions to use a specific index:

{
	"selector": {
		"$text": "Pacino",
		"year": 2010
	},
	"use_index": "_design/32372935e14bed00cc6db4fc9efca0f1537d34a8"
}