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catalog.json

This document explains the structure and contents of your catalog.json file, which is used to configure and manage data streams. It covers the following topics:

  • Overall File Structure
  • Selected Streams
  • Streams and Their Configuration
  • Type Schema: Properties and Data Types
  • Key-Value Pair Explanation
  • Synchronization Modes

1. Overall File Structure

The catalog.json file is organized into two main sections:

  • selected_streams: Lists the streams that have been chosen for processing. These are grouped by namespace.
  • streams: Contains an array of stream definitions. Each stream holds details about its data schema, supported synchronization modes, primary keys, and other metadata.

2. Selected Streams

The selected_streams section groups streams by their namespace(database name). For example, the configuration might look like this:

"selected_streams": {
"otter_db": [
{
"partition_regex": "{now(),2025,YY}-{now(),06,MM}-{now(),13,DD}/{string_change_language,,}",
"stream_name": "stream_0"
},
{
"partition_regex": "{,1999,YY}-{,09,MM}-{,31,DD}/{latest_revision,,}",
"stream_name": "stream_8"
}
]
}

Key components:

ComponentData TypeExample ValueDescription & Possible Values
namespacestringotter_dbGroups streams that belong to a specific database or logical category
stream_namestring"stream_0", "stream_8"The identifier for the stream. Should match the stream name defined in the stream configurations.
partition_regexstring"{now(),2025,YY}-{now(),06,MM}-{now(),13,DD}/{string_change_language,,}"
or
"{,1999,YY}-{,09,MM}-{,31,DD}/{latest_revision,,}"
A pattern defining how to partition the data. Includes date tokens (e.g., year, month, day) or other markers like language or revision indicators.

For more information about partition_regex, refer to S3 partition documentation.

3. Streams

The streams section is an array where each element is an object that defines a specific data stream. Each stream object includes a stream key that holds the configuration details. For example, one stream definition looks like this:

{
"stream": {
"name": "stream_8",
"namespace": "otter_db",
"type_schema": {
"properties": {
"_id": {
"type": ["string"]
},
"authors": {
"type": ["array"]
},
"backreferences": {
"type": ["array"]
},
"birth_date": {
"type": ["string"]
},
...
}
},
"supported_sync_modes": ["full_refresh", "cdc"],
"source_defined_primary_key": ["_id"],
"available_cursor_fields": [],
"sync_mode": "cdc"
}
}

3.1 Stream Configuration Elements

ComponentData TypeExample ValueDescription & Possible Values
namestring"stream_8"Unique identifier for the stream. Each stream should have a unique name.
namespacestring"otter_db"Grouping or database name that the stream belongs to. It helps organize streams by logical or physical data sources.
type_schemaobject(JSON object with properties)Defines the structure of the records in the stream. Contains a properties object that maps each field (key) to its allowed data types (e.g., string, integer, array, object).
supported_sync_modesarray["full_refresh", "cdc"]Lists the synchronization modes the stream supports. Typically includes "full_refresh" for complete reloads and "cdc" (change data capture) for incremental updates.
source_defined_primary_keyarray["_id"]Specifies the field(s) that uniquely identify a record within the stream. This key is used to ensure data uniqueness and integrity.
available_cursor_fieldsarray[]Lists fields that can be used to track the synchronization progress. Often empty if no cursors are required or defined.
sync_modestring"cdc"Indicates the active synchronization mode. This field is set to either "cdc" for change data capture or "full_refresh" when a complete data reload is used.

4. Type Schema: Properties and Data Types

The type_schema is central to defining what data each stream will handle. Under this schema:

4.1 Properties Object

The properties object is a collection of key-value pairs where:

  • Key: Represents the name of the property or field (e.g., "title", "authors", "publish_date").
  • Value: Is an object that describes the property's allowed data types.

For example:

"_id": {
"type": ["string"]
}

This definition means that the _id property must be a string.

4.2 Supported Data Types

The schema supports several JSON data types, including:

Below is the updated table that summarizes the supported data types along with a brief description and a sample value for each:

Data TypeDescriptionSample Value
NullRepresents a null or missing value.null
Int64Represents a 64-bit integer value.42
Float64Represents a 64-bit floating point number.3.14159
StringRepresents a text string."Hello, world!"
BoolRepresents a boolean value (true/false).true
ObjectRepresents a JSON object (key-value pairs).{ "name": "Alice", "age": 30 }
ArrayRepresents an array of values.[1, 2, 3]
UnknownRepresents an unspecified or unrecognized type."unknown"
TimestampRepresents a timestamp with default precision."2025-02-18T10:00:00Z"
TimestampMilliRepresents a timestamp with millisecond precision (3 decimal places)."2025-02-18T10:00:00.123Z"
TimestampMicroRepresents a timestamp with microsecond precision (6 decimal places)."2025-02-18T10:00:00.123456Z"
TimestampNanoRepresents a timestamp with nanosecond precision (9 decimal places)."2025-02-18T10:00:00.123456789Z"

More advanced data type support coming up soon. Track the progress.

A field can allow multiple types. For instance:

"coordinates": {
"type": [
"null",
"object"
]
},

This means the coordinates field is presently null but is of object data type.

5. Synchronization Modes

The catalog specifies how streams should be synchronized:

ComponentDescriptionPossible Values
supported_sync_modesLists all the modes a stream supports.
  • full_refresh - (a complete reload of the data)
  • cdc (incremental updates capturing only changes)
  • sync_modeIndicates which mode is actively being used for that stream.full_refresh or cdc

    Sample configuration

    olake_folder/catalog.json
    {
    "selected_streams": {
    "otter_db": [
    {
    "partition_regex": "{now(),2025,YY}-{now(),06,MM}-{now(),13,DD}/{string_change_language,,}",
    "stream_name": "stream_0"
    },
    {
    "partition_regex": "{,1999,YY}-{,09,MM}-{,31,DD}/{latest_revision,,}",
    "stream_name": "stream_8"
    }
    ]
    },
    "streams": [
    {
    "StreamMetadata": {
    "partition_regex": "",
    "stream_name": ""
    },
    "stream": {
    "name": "stream_8",
    "namespace": "otter_db",
    "type_schema": { ... },
    "supported_sync_modes": [
    "full_refresh",
    "cdc"
    ],
    "source_defined_primary_key": [
    "_id"
    ],
    "available_cursor_fields": [],
    "sync_mode": "cdc"
    }
    },
    // ... other streams
    ]
    }

    Sample partition over title column (not recomended)

    partition image


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