date-type

date-type

For the complete MongoDB documentation index, see www.mongodb.com/docs/llms.txt

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How to Index Date Fields

Use the MongoDB Search date field type to index date values. After you index a field as date, you can query it using the [range](https://www.mongodb.com/docs/search/query/operators-collectors/range.md#std-label-range-ref, [near](https://www.mongodb.com/docs/search/query/operators-collectors/near.md#std-label-near-ref, [in](https://www.mongodb.com/docs/search/query/operators-collectors/in.md#std-label-in-ref, and [equals](https://www.mongodb.com/docs/search/query/operators-collectors/equals.md#std-label-equals-ref operators. You can also run [facet](https://www.mongodb.com/docs/search/query/operators-collectors/facet.md#std-label-fts-facet-ref queries and sort results by indexed date fields.

You can use the MongoDB Search date type to index date values. You can query fields of type date using the MongoDB Search [range](https://www.mongodb.com/docs/search/query/operators-collectors/range.md#std-label-range-ref, [near](https://www.mongodb.com/docs/search/query/operators-collectors/near.md#std-label-near-ref, [in](https://www.mongodb.com/docs/search/query/operators-collectors/in.md#std-label-in-ref, and [equals](https://www.mongodb.com/docs/search/query/operators-collectors/equals.md#std-label-equals-ref operators. You can also run a [facet](https://www.mongodb.com/docs/search/query/operators-collectors/facet.md#std-label-fts-facet-ref query on date type fields.

You can also use the date type to index:

Fields whose value is an array of dates. To learn more, see [How to Index the Elements of an Array.](https://www.mongodb.com/docs/search/indexes/field-types/array-type.md#std-label-fts-array-ref
Date fields inside an array of documents indexed as the [embeddedDocuments](https://www.mongodb.com/docs/search/indexes/field-types/embedded-documents-type.md#std-label-bson-data-types-embedded-documents type.
Date fields for sorting. MongoDB Search automatically indexes all date fields in indexes created after [July 2023](https://www.mongodb.com/docs/atlas/search-changelog.md#std-label-fts20230710 for [sorting](https://www.mongodb.com/docs/search/query/sort.md#std-label-sort-ref the MongoDB Search results. For preexisting indexes, you must rebuild the index to use date fields in the index for sorting. To learn more, see [Update and Rebuild an Existing MongoDB Search Index](https://www.mongodb.com/docs/search/indexes/manage-indexes.md#std-label-fts-index-rebuild and [Sort MongoDB Search Results.](https://www.mongodb.com/docs/search/query/sort.md#std-label-sort-ref

Note:

To query indexed date values inside arrays, you must use the range.

If you enable [dynamic mappings](https://www.mongodb.com/docs/search/indexes/define-field-mappings.md#std-label-static-dynamic-mappings, MongoDB Search automatically indexes fields of type date. You can use the Visual Editor or the JSON Editor in the Atlas UI to index fields as the date type.

Define the Index for the `date` Type

Retrieve your Service Account access token for the project.

Use your service account to generate an access token, which authenticates your requests to the Atlas Administration API To learn how to generate an access token, see [Make an API (Application Programming Interface) Request.](https://www.mongodb.com/docs/atlas/configure-api-access.md#std-label-example-api-request

Make an API (Application Programming Interface) call.

Replace the following values in the curl command below. This command sends a POST request to your cluster to create a MongoDB Search index with the date field type.

Replace {ACCESS-TOKEN} with the output from the preceding step
Replace {groupID} with the project ID of the project where you want to create the MongoDB Search index
Replace {clusterName} with the name of the cluster where you want to create the MongoDB Search index

shell curl --header "Authorization: Bearer ${ACCESS_TOKEN}" \ --header "Accept: application/vnd.atlas.2025-03-12+json" \ --header "Content-Type: application/json" \ -X POST "https://cloud.mongodb.com/api/atlas/v2/groups/{groupId}/clusters/{clusterName}/search/indexes" \ -d '{ "collectionName": "<collection>", "database": "<database>", "name": "default", "type": "search", "definition": { "mappings": { "dynamic": true|false, "fields": { "<field-name>": { "type": "date" } } } } }'

Configure `date` Field Properties

The MongoDB Search date type takes the following parameter:

Option	Type	Necessity	Description
`type`	string	required	Human-readable label that identifies this field type. Value must be `date`.

Try an Example for the `date` Type

The following index definition examples use collections in the [sample data](https://www.mongodb.com/docs/manual/sample-data.md#std-label-available-sample-datasets. After you [load the sample data](https://www.mongodb.com/docs/atlas/import/load-sample-data.md#std-label-load-sample-data, you can use these examples to index fields as the date type.

Basic Example

The following example index definition indexes the released field as the MongoDB Search date type to support queries against that field using MongoDB Search operators such as [near](https://www.mongodb.com/docs/search/query/operators-collectors/near.md#std-label-near-ref, [range](https://www.mongodb.com/docs/search/query/operators-collectors/range.md#std-label-range-ref, and [equals.](https://www.mongodb.com/docs/search/query/operators-collectors/equals.md#std-label-equals-ref

{
  "collectionName": "movies",
  "database": "sample_mflix",
  "name": "default",
  "mappings": {
    "dynamic": false,
    "fields": {
      "released": {
        "type": "date"
      }
    }
  }
}

To learn how to set up and run the following example code, see [Define the Index for the token Type](https://www.mongodb.com/docs/search/indexes/field-types/token-type.md#std-label-define-index-token-admin-api.

You can also use the date type to index:

Fields whose value is an array of dates. To learn more, see [How to Index the Elements of an Array.](https://www.mongodb.com/docs/search/indexes/field-types/array-type.md#std-label-fts-array-ref
Date fields inside an array of documents indexed as the [embeddedDocuments](https://www.mongodb.com/docs/search/indexes/field-types/embedded-documents-type.md#std-label-bson-data-types-embedded-documents type.
Date fields for sorting. MongoDB Search automatically indexes all date fields in indexes created after [July 2023](https://www.mongodb.com/docs/atlas/search-changelog.md#std-label-fts20230710 for [sorting](https://www.mongodb.com/docs/search/query/sort.md#std-label-sort-ref the MongoDB Search results. For preexisting indexes, you must rebuild the index to use date fields in the index for sorting. To learn more, see [Update and Rebuild an Existing MongoDB Search Index](https://www.mongodb.com/docs/search/indexes/manage-indexes.md#std-label-fts-index-rebuild and [Sort MongoDB Search Results.](https://www.mongodb.com/docs/search/query/sort.md#std-label-sort-ref

Note:

To query indexed date values inside arrays, you must use the range.

Define the Index for the `date` Type

Create a search-index.json configuration file and specify the date type.

json { "name": "default", "collectionName": "<collection>", "database": "<database>", "mappings": { "dynamic": true|false, "fields": { "<field-name>": { "type": "date" } } } }

Connect to the Atlas CLI

In your terminal, connect to your cluster from the Atlas CLI. To learn more, see Connect from the Atlas CLI.

Create a MongoDB Search index.

Run the atlas clusters indexes create command in your terminal, replacing <clusterName> with the name of the cluster, and <path-to-file> with the path to the search-index.json file:

shell atlas clusters search indexes create --clusterName <cluster-name> --file <path-to-file>

Configure `date` Field Properties

The MongoDB Search date type takes the following parameter:

Option	Type	Necessity	Description
`type`	string	required	Human-readable label that identifies this field type. Value must be `date`.

Try an Example for the `date` Type

Basic Example

{
  "name": "default",
  "collectionName": "movies",
  "database": "sample_mflix",
  "mappings": {
    "dynamic": false,
    "fields": {
      "released": {
        "type": "date"
      }
    }
  }
}

You can also use the date type to index:

Fields whose value is an array of dates. To learn more, see [How to Index the Elements of an Array.](https://www.mongodb.com/docs/search/indexes/field-types/array-type.md#std-label-fts-array-ref
Date fields inside an array of documents indexed as the [embeddedDocuments](https://www.mongodb.com/docs/search/indexes/field-types/embedded-documents-type.md#std-label-bson-data-types-embedded-documents type.
Date fields for sorting. MongoDB Search automatically indexes all date fields in indexes created after [July 2023](https://www.mongodb.com/docs/atlas/search-changelog.md#std-label-fts20230710 for [sorting](https://www.mongodb.com/docs/search/query/sort.md#std-label-sort-ref the MongoDB Search results. For preexisting indexes, you must rebuild the index to use date fields in the index for sorting. To learn more, see [Update and Rebuild an Existing MongoDB Search Index](https://www.mongodb.com/docs/search/indexes/manage-indexes.md#std-label-fts-index-rebuild and [Sort MongoDB Search Results.](https://www.mongodb.com/docs/search/query/sort.md#std-label-sort-ref

Note:

To query indexed date values inside arrays, you must use the range.

Define the Index for the `date` Type

Connect to your cluster using MongoDB Compass.

Open Compass and connect to your cluster. For detailed instructions, see [Connect to a Cluster via Compass.](https://www.mongodb.com/docs/atlas/compass-connection.md#std-label-atlas-connect-via-compass

Specify the database and collection.

On the Database screen, click the name of the database, then click the name of the collection.

Create the MongoDB Search index.

Click the Indexes tab, then select Search Indexes.

Click Create Atlas Search Index to open the index creation dialog box.

Specify a name for the index.

Your MongoDB Search index is named default by default. If you keep this name, then your index will be the default Search index for any MongoDB Search query that does not specify a different index option in its [operators](https://www.mongodb.com/docs/search/query/operators-collectors/overview.md#std-label-fts-operators. If you are creating multiple indexes, we recommend that you maintain a consistent, descriptive naming convention across your indexes.

Specify the JSON (Javascript Object Notation) MongoDB Search index definition.

json { "mappings": { "dynamic": true|false, "fields": { "<field-name>": { "type": "date" } } } }

Click Create Search Index.

Configure `date` Field Properties

The MongoDB Search date type takes the following parameter:

Option	Type	Necessity	Description
`type`	string	required	Human-readable label that identifies this field type. Value must be `date`.

Try an Example for the `date` Type

Basic Example

{
  "mappings": {
    "dynamic": false,
    "fields": {
      "released": {
        "type": "date"
      }
    }
  }
}

You can also use the date type to index:

Fields whose value is an array of dates. To learn more, see [How to Index the Elements of an Array.](https://www.mongodb.com/docs/search/indexes/field-types/array-type.md#std-label-fts-array-ref
Date fields inside an array of documents indexed as the [embeddedDocuments](https://www.mongodb.com/docs/search/indexes/field-types/embedded-documents-type.md#std-label-bson-data-types-embedded-documents type.
Date fields for sorting. MongoDB Search automatically indexes all date fields in indexes created after [July 2023](https://www.mongodb.com/docs/atlas/search-changelog.md#std-label-fts20230710 for [sorting](https://www.mongodb.com/docs/search/query/sort.md#std-label-sort-ref the MongoDB Search results. For preexisting indexes, you must rebuild the index to use date fields in the index for sorting. To learn more, see [Update and Rebuild an Existing MongoDB Search Index](https://www.mongodb.com/docs/search/indexes/manage-indexes.md#std-label-fts-index-rebuild and [Sort MongoDB Search Results.](https://www.mongodb.com/docs/search/query/sort.md#std-label-sort-ref

Note:

To query indexed date values inside arrays, you must use the range.

Define the Index for the `date` Type

Connect to the deployment using [mongosh](https://www.mongodb.com/docs/mongodb-shell.md#mongodb-binary-bin.mongosh.

In your terminal, connect to your Atlas cloud-hosted deployment or local deployment from [mongosh](https://www.mongodb.com/docs/mongodb-shell.md#mongodb-binary-bin.mongosh. For detailed instructions on how to connect, see Connect to a Deployment.

Switch to the database that contains the collection for which you want to create the index.

shell use <database>

Output:

shell switched to db <database>

Run the db.collection.createSearchIndex() method to create the index.

shell db.<collection>.createSearchIndex( "default", { "mappings": { "dynamic": true|false, "fields": { "<field-name>": { "type": "date" } } } } )

Output:

text default

Configure `date` Field Properties

The MongoDB Search date type takes the following parameter:

Option	Type	Necessity	Description
`type`	string	required	Human-readable label that identifies this field type. Value must be `date`.

Try an Example for the `date` Type

Basic Example

// Connect to your Atlas cluster
use sample_mflix;

// Create the search index
db.movies.createSearchIndex(
  "default",
  {
    "mappings": {
      "dynamic": false,
      "fields": {
        "released": {
          "type": "date"
        }
      }
    }
});

You can also use the date type to index:

Fields whose value is an array of dates. To learn more, see [How to Index the Elements of an Array.](https://www.mongodb.com/docs/search/indexes/field-types/array-type.md#std-label-fts-array-ref
Date fields inside an array of documents indexed as the [embeddedDocuments](https://www.mongodb.com/docs/search/indexes/field-types/embedded-documents-type.md#std-label-bson-data-types-embedded-documents type.
Date fields for sorting. MongoDB Search automatically indexes all date fields in indexes created after [July 2023](https://www.mongodb.com/docs/atlas/search-changelog.md#std-label-fts20230710 for [sorting](https://www.mongodb.com/docs/search/query/sort.md#std-label-sort-ref the MongoDB Search results. For preexisting indexes, you must rebuild the index to use date fields in the index for sorting. To learn more, see [Update and Rebuild an Existing MongoDB Search Index](https://www.mongodb.com/docs/search/indexes/manage-indexes.md#std-label-fts-index-rebuild and [Sort MongoDB Search Results.](https://www.mongodb.com/docs/search/query/sort.md#std-label-sort-ref

Note:

To query indexed date values inside arrays, you must use the range.

Define the Index for the `date` Type

Choose your preferred configuration method in the Atlas UI and then select the database and collection.

Visual Editor

Click Refine Your Index to configure your index.
In the Field Mappings section, click Add Field Mapping to open the Add Field Mapping window.
Click Customized Configuration.
Select the field to index from the Field Name dropdown.

Note:

You can't index fields that contain the dollar ($) sign at the start of the field name.

Click the Data Type dropdown and select Date.
Configure the field properties for the date type. To learn more, see [Field Properties](https://www.mongodb.com/docs/search/indexes/field-types/uuid-type.md#std-label-fts-field-types-uuid-options.
Click Add.

Configure `date` Field Properties

The MongoDB Search date type takes the following parameter:

Option	Type	Necessity	Description
`type`	string	required	Human-readable label that identifies this field type. Value must be `date`.

Try an Example for the `date` Type

Basic Example

{
  "mappings": {
    "dynamic": false,
    "fields": {
      "released": {
        "type": "date"
      }
    }
  }
}

You can also use the date type to index:

Fields whose value is an array of dates. To learn more, see [How to Index the Elements of an Array.](https://www.mongodb.com/docs/search/indexes/field-types/array-type.md#std-label-fts-array-ref
Date fields inside an array of documents indexed as the [embeddedDocuments](https://www.mongodb.com/docs/search/indexes/field-types/embedded-documents-type.md#std-label-bson-data-types-embedded-documents type.
Date fields for sorting. MongoDB Search automatically indexes all date fields in indexes created after [July 2023](https://www.mongodb.com/docs/atlas/search-changelog.md#std-label-fts20230710 for [sorting](https://www.mongodb.com/docs/search/query/sort.md#std-label-sort-ref the MongoDB Search results. For preexisting indexes, you must rebuild the index to use date fields in the index for sorting. To learn more, see [Update and Rebuild an Existing MongoDB Search Index](https://www.mongodb.com/docs/search/indexes/manage-indexes.md#std-label-fts-index-rebuild and [Sort MongoDB Search Results.](https://www.mongodb.com/docs/search/query/sort.md#std-label-sort-ref

Note:

To query indexed date values inside arrays, you must use the range.

Define the Index for the `date` Type

Set up the C project.

In your terminal, navigate to where you want to create your application, then run the following command to create a directory called atlas-search-project for this project:

shell # Create a new directory for the project mkdir atlas-search-project && cd atlas-search-project

Add the C driver to your project by following the instructions in the MongoDB C Driver documentation.

Define the index.

Create a create_index.c file in your project directory, and copy and paste the following code into the file.

```c #include #include

int main (void) { mongoc_client_t client = NULL; mongoc_collection_t collection = NULL; mongoc_database_t *database = NULL; bson_error_t error; bson_t cmd = BSON_INITIALIZER; bool ok = true;

   mongoc_init();

   // Connect to your Atlas deployment
   client = mongoc_client_new("<connectionString>");
   if (!client) {
       fprintf(stderr, "Failed to create a MongoDB client.\n");
       ok = false;
       goto cleanup;
   }

   // Access your database and collection
   database = mongoc_client_get_database(client, "<databaseName>");
   collection = mongoc_database_get_collection(database, "<collectionName>");

   // Specify the command and the new index
   const char *cmd_str = BSON_STR({
       "createSearchIndexes" : "<collectionName>",
       "indexes" : [ {
           "name" : "default",
           "definition" : {
               "mappings": {
                   "dynamic": true|false,
                   "fields": {
                       "<fieldName>" : {
                           "type": "date"
                       }
                   }
               },
           }
    } ]
});

   // Convert your command to BSON
   if (!bson_init_from_json(&cmd, cmd_str, -1, &error)) {
       fprintf(stderr, "Failed to parse command: %s\n", error.message);
       ok = false;
       goto cleanup;
   }

   // Create the MongoDB Search index by running the command
   if (!mongoc_collection_command_simple (collection, &cmd, NULL, NULL, &error)) {
       fprintf(stderr, "Failed to run createSearchIndexes: %s\n", error.message);
       ok = false;
       goto cleanup;
   }
   printf ("Index created!\n");

cleanup: mongoc_collection_destroy (collection); mongoc_client_destroy (client); mongoc_database_destroy (database); bson_destroy (&cmd); mongoc_cleanup (); return ok ? EXIT_SUCCESS : EXIT_FAILURE; } ```

Replace <connection-string> with the connection string for your Atlas cluster or local Atlas deployment.

To learn more about finding your connection string, see [Connect to a Cluster via Client Libraries.](https://www.mongodb.com/docs/atlas/driver-connection.md#std-label-connect-via-driver

Note:

For a local or self-managed deployment, your connection string should use the following format:

text mongodb://localhost:<port-number>/?directConnection=true

To learn more, see [Connection Strings.](https://www.mongodb.com/docs/manual/reference/connection-string.md#std-label-mongodb-uri

Set up a CMake application

To configure your application, create a CMakeLists.txt file in your project directory. Then, add the following code to the file:

```txt cmake_minimum_required(VERSION 3.11) project(atlas-search-index LANGUAGES C) add_executable (index.out create_index.c) find_package(mongoc REQUIRED) target_link_libraries(index.out mongoc::mongoc)

```

The preceding code performs the following actions:

Configures a C project.
Creates a index.out executable for your application.
Finds and requires the C driver. Replace the <version> placeholder with your C driver version date, such as 2.0.0.
Links the program to the libmongoc library.

Note:

In the sample CMakeLists.txt file, the mongoc::mongoc target points to either the static library or the shared library. The library type depends on which one is available and whichever type the user specifies in the MONGOC_DEFAULT_IMPORTED_LIBRARY_TYPE CMake configuration setting. If you don't set this value and both library types are available, mongoc::mongoc uses the static library.

You can use the mongoc::static target to explicitly use the static library or the mongoc::shared target to use the shared library.

Create the index.

In your terminal, run the following commands to build and run this application:

shell cmake -S. -Bcmake-build cmake --build cmake-build --target index.out ./cmake-build/index.out

Output:

text Index created!

Configure `date` Field Properties

The MongoDB Search date type takes the following parameter:

Option	Type	Necessity	Description
`type`	string	required	Human-readable label that identifies this field type. Value must be `date`.

Try an Example for the `date` Type

Basic Example

#include <mongoc/mongoc.h>
#include <stdlib.h>

int main (void)
{
    mongoc_client_t *client = NULL;
    mongoc_collection_t *collection = NULL;
    mongoc_database_t *database = NULL;
    bson_error_t error;
    bson_t cmd = BSON_INITIALIZER;
    bool ok = true;

    mongoc_init();

    // Connect to your Atlas deployment
    client = mongoc_client_new("<connectionString>");
    if (!client) {
        fprintf(stderr, "Failed to create a MongoDB client.\n");
        ok = false;
        goto cleanup;
    }

    // Access your database and collection
    database = mongoc_client_get_database(client, "sample_mflix");
    collection = mongoc_database_get_collection(database, "movies");

    // Specify the command and the new index
    const char *cmd_str = BSON_STR({
        "createSearchIndexes" : "movies",
        "indexes" : [ {
            "name" : "default",
            "definition" : {
                "mappings": {
                    "dynamic": false,
                    "fields": {
                        "released" : {
                            "type": "date"
                        }
                    }
                },
            }
        } ]
    });

    // Convert your command to BSON
    if (!bson_init_from_json(&cmd, cmd_str, -1, &error)) {
        fprintf(stderr, "Failed to parse command: %s\n", error.message);
        ok = false;
        goto cleanup;
    }

    // Create the MongoDB Search index by running the command
    if (!mongoc_collection_command_simple (collection, &cmd, NULL, NULL, &error)) {
        fprintf(stderr, "Failed to run createSearchIndexes: %s\n", error.message);
        ok = false;
        goto cleanup;
    }
    printf ("Index created!\n");

cleanup:
   mongoc_collection_destroy (collection);
   mongoc_client_destroy (client);
   mongoc_database_destroy (database);
   bson_destroy (&cmd);
   mongoc_cleanup ();
   return ok ? EXIT_SUCCESS : EXIT_FAILURE;
}

You can also use the date type to index:

Fields whose value is an array of dates. To learn more, see [How to Index the Elements of an Array.](https://www.mongodb.com/docs/search/indexes/field-types/array-type.md#std-label-fts-array-ref
Date fields inside an array of documents indexed as the [embeddedDocuments](https://www.mongodb.com/docs/search/indexes/field-types/embedded-documents-type.md#std-label-bson-data-types-embedded-documents type.
Date fields for sorting. MongoDB Search automatically indexes all date fields in indexes created after [July 2023](https://www.mongodb.com/docs/atlas/search-changelog.md#std-label-fts20230710 for [sorting](https://www.mongodb.com/docs/search/query/sort.md#std-label-sort-ref the MongoDB Search results. For preexisting indexes, you must rebuild the index to use date fields in the index for sorting. To learn more, see [Update and Rebuild an Existing MongoDB Search Index](https://www.mongodb.com/docs/search/indexes/manage-indexes.md#std-label-fts-index-rebuild and [Sort MongoDB Search Results.](https://www.mongodb.com/docs/search/query/sort.md#std-label-sort-ref

Note:

To query indexed date values inside arrays, you must use the range.

Define the Index for the `date` Type

Set up and initialize the .NET/C# project.

In your terminal, navigate to where you want to create your application, then run the following command to create a directory called atlas-search-project and initialize your project in that directory:

```shell # Create a new directory and initialize the project mkdir atlas-search-project && cd atlas-search-project dotnet new console

# Add the MongoDB .NET/C# Driver to your project dotnet add package MongoDB.Driver ```

For more detailed installation instructions, see the MongoDB .NET/C# Driver documentation.

Define the index.

Paste the following code into the Program.cs file.

```csharp using MongoDB.Bson; using MongoDB.Driver;

// connect to your Atlas deployment var uri = "";

var client = new MongoClient(uri);

var db = client.GetDatabase(""); var collection = db.GetCollection("");

// define your MongoDB Search index var index = new CreateSearchIndexModel( "default", new BsonDocument { { "mappings", new BsonDocument { { "dynamic", true|false }, { "fields", new BsonDocument { { "", new BsonDocument { { "type", "date" } } } } } } } });

var result = collection.SearchIndexes.CreateOne(index); Console.WriteLine($"New index name: {result}"); ```

Replace <connection-string> with the connection string for your Atlas cluster or local Atlas deployment.

To learn more about finding your connection string, see [Connect to a Cluster via Client Libraries.](https://www.mongodb.com/docs/atlas/driver-connection.md#std-label-connect-via-driver

Note:

For a local or self-managed deployment, your connection string should use the following format:

text mongodb://localhost:<port-number>/?directConnection=true

To learn more, see [Connection Strings.](https://www.mongodb.com/docs/manual/reference/connection-string.md#std-label-mongodb-uri

Create the index.

shell dotnet run Program.cs

Output:

text New index name: default

Configure `date` Field Properties

The MongoDB Search date type takes the following parameter:

Option	Type	Necessity	Description
`type`	string	required	Human-readable label that identifies this field type. Value must be `date`.

Try an Example for the `date` Type

Basic Example

```csharp using MongoDB.Bson; using MongoDB.Driver;

// connect to your Atlas deployment var uri = "<connection-string>";

var

（本文超出站点单文档体积上限，已截断）

Data Formats

date-type

How to Index Date Fields

Define the Index for the date Type

Configure date Field Properties

Try an Example for the date Type

Basic Example

Define the Index for the date Type

Configure date Field Properties

Try an Example for the date Type

Basic Example

Define the Index for the date Type

Configure date Field Properties

Try an Example for the date Type

Basic Example

Define the Index for the date Type

Configure date Field Properties

Try an Example for the date Type

Basic Example

Define the Index for the date Type

Visual Editor

Configure date Field Properties

Try an Example for the date Type

Basic Example

Define the Index for the date Type

Configure date Field Properties

Try an Example for the date Type

Basic Example

Define the Index for the date Type

Configure date Field Properties

Try an Example for the date Type

Basic Example

Define the Index for the `date` Type

Configure `date` Field Properties

Try an Example for the `date` Type

Define the Index for the `date` Type

Configure `date` Field Properties

Try an Example for the `date` Type

Define the Index for the `date` Type

Configure `date` Field Properties

Try an Example for the `date` Type

Define the Index for the `date` Type

Configure `date` Field Properties

Try an Example for the `date` Type

Define the Index for the `date` Type

Configure `date` Field Properties

Try an Example for the `date` Type

Define the Index for the `date` Type

Configure `date` Field Properties

Try an Example for the `date` Type

Define the Index for the `date` Type

Configure `date` Field Properties

Try an Example for the `date` Type