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Most resource types in Cognite Data Fusion (CDF) can be paginated, as indicated by the nextCursor field in the response. Pass the value of nextCursor as the cursor to get the next page of limit results. Note that all parameters except cursor have to stay the same.

A request can return fewer results than its limits, as long as there is a nextCursor that indicates that there are more data to fetch.

Simple cursor example

HTTP GET /assets?limit=1
"nextCursor": "8ZiApWzGe5RnTAE1N5SABLDNv7GKkUGiVUyUjzNsDvM",
"items": [
"name": "23-TE-96116-04",
"parentId": 3117826349444493,
"description": "VRD - PH 1STSTGGEAR THRUST BRG OUT",
"metadata": {
"ELC_STATUS_ID": "1211",
"RES_ID": "525283"
"id": 702630644612,
"createdTime": 0,
"lastUpdatedTime": 0,
"rootId": 6687602007296940

Getting the next page of assets.


When you send additional parameters to /assets, make sure that you also include them in all subsequent requests in addition to the cursor parameter.

HTTP GET /assets?limit=1&cursor=8ZiApWzGe5RnTAE1N5SABLDNv7GKkUGiVUyUjzNsDvM

Parallel retrieval

If you download a large number of resources (for example, events with a particular filter), it can take a long time to paginate through millions of records. CDF supports parallel retrieval through the partition parameter. The parameter has the format m/n, where n is the number of partitions to split the entire data set into.


This example downloads an entire data set in parallel by splitting it into 10 partitions and doing the following requests with m running from 1 to 10:

HTTP GET /events?type=WORKORDER&partition=1/10
HTTP GET /events?type=WORKORDER&partition=2/10
HTTP GET /events?type=WORKORDER&partition=3/10

Each of the results looks similar to this:

"items": [
"startTime": 1266130800000,
"endTime": 1284328234000,
"type": "Workorder",
"subtype": "VAL",
"assetIds": [4650652196144007],
"source": "cdf-tenant",
"id": 206950949774808,
"lastUpdatedTime": 1539151642457,
"createdTime": 1533747616899
"nextCursor": "bU-qc7X1jKMUbXgOYdONu2kRvpsoc60v9qh0Votm4MT0LaH0J0VVhVLoorSh8j_j"

Follow the nextCursor in each response until each partition is drained.


Make sure that you send the filter parameters to each subsequent request.