- Loading Your Data
A collection is a set of Rockset documents. All documents within a collection and all fields within
a document are mutable. Similar to tables in traditional SQL databases, collections are
traditionally queried with
FROM clauses in SQL queries.
To create a collection using a managed integration with an external data source (such as MongoDB or
Amazon S3), first set up the respective integration using the instructions in the
Integrations section. We generally recommend mapping each data source (such as
MongoDB collection, DynamoDB table, or Kafka topic) to a single collection, and joining those
collections at query time using
JOIN when necessary.
Note: Using an external data source is not required.
You can always create collections using the Rockset Console (either empty, or from a file upload) or by using the Rockset API directly without referencing any sources. You can read more about how to create a collection from a self-managed data source.
#Bulk Ingest Mode
BULK_INGEST_MODE feature is available only to collections created using one of the following
managed data sources: Amazon DynamoDB, MongoDB Atlas,
Amazon S3 and Google Cloud Storage. When a collection is
first created using one of the those data sources, Rockset will scan your data source to see if it
exceeds the minimum size of 5 GiB required to enter
BULK_INGEST_MODE as soon as the collection
is initialized. If so, Rockset will change the collection status to
BULK_INGEST_MODE, which will
prevent the collection from being queried, but will allow data ingestion to occur at speeds several
orders of magnitude higher than typical streaming data ingestion.
Note: Bulk ingest mode is only available to dedicated Virtual Instances (VIs). For shared and free VIs the ingest speed is limited to 1MB/sec.
Streaming ingest mode is not recommended for collections that are larger than 5GiB.
Once the bulk ingest is completed, the collection will enter the
READY state, at which point you
can begin executing queries. Rockset will continue to scan your external data source actively, but
any new documents will be added using the normal streaming data ingestion speed. A collection will
BULK_INGEST_MODE once, and only immediately following its creation.
If Rockset determines that your data source does not meet the requirements to enter
BULK_INGEST_MODE, the collection will immediately enter
READY state, and documents will be added
using the normal streaming data ingestion. You may execute queries as the initial ingest is still
occuring, but some of the data may be unavailable until the initial data ingestion is fully
Collections automatically create indexes on every field path that is included in that collection, including those of nested paths.
To transform incoming data by creating an index on a compound or derived field, configure and create field mappings. Field Mappings provide the means to create new fields by applying SQL expressions on fields of incoming documents.
For each collection, you can set a custom retention duration. This determines how long each document is retained after being added to the collection. Low retention values can be used to keep total data indexed low, while still ensuring your applications are querying the latest data.
Every document ingested into Rockset collections has several system-generated fields which are automatically created by Rockset and added to each document. Learn more about special fields here.
When your organization is created, Rockset will automatically create a collection named
which is used for audit logging to provide visibility into your account. Learn more about the
When a collection is created from a managed integration, Rockset will automatically sync your collection with its data source, usually within seconds. For more information about individual source behavior, see the Data Sources section.
If you choose not to create your collection using a managed integration, or wish to make manual changes to data in your collection after Rockset has synced it with your external data source, you can learn more about manually adding, deleting, or patching documents.
Collections can be queried using SQL the same way tables are queried in traditional SQL databases.
You can write and execute queries on your collections in the Query Editor tab of the Rockset Console. Queries can also be executed using the Rockset API and SDKs (Node.js, Python, Java, or Go) to run queries against collections. SQL queries can also JOIN documents across different Rockset collections and workspaces.
See our SQL Reference for the full list of supported data types, commands, functions, and more.