While Iam moving any table from source to destination i noticed few columns are attached to the table like _airbyte_raw_id , _airbyte_extracted_at and _airbyte_meta...why are these columns added and which information is provided in those columns

Yes, that's correct. When Airbyte moves data from a source to a destination, it adds a few additional columns to the destination table for its internal use. These columns include: - `_airbyte_raw_id`: This is a UUID assigned by Airbyte to each event that is processed. It helps in uniquely identifying each record. The column type varies based on the destination, for example, it's

String

in BigQuery,

VARCHAR

in Redshift, and

string

in Databricks Lakehouse. - `_airbyte_extracted_at`: This is a timestamp representing when the event was pulled from the data source. It helps in tracking when the data was extracted. The column type also varies based on the destination, for example, it's

Timestamp

in BigQuery,

TIMESTAMP WITH TIME ZONE

in Redshift, and

timestamp

in Databricks Lakehouse. - `_airbyte_meta`: This is a JSON blob representing typing errors. You can query these results to audit misformatted or unexpected data. The column type in BigQuery is

JSON

. These columns are standard across all tabular destinations, including all SQL-type and file-type destinations. They are used by Airbyte for data management and error handling purposes. Sources: - [BigQuery Destination](https://docs.airbyte.com/integrations/destinations/bigquery#final-table-schema) - [Databricks Lakehouse Destination](https://docs.airbyte.com/integrations/destinations/databricks#output-schema) - [Redshift Destination](https://docs.airbyte.com/integrations/destinations/redshift#output-schema) - [Requirements for Airbyte Partner Connectors](https://docs.airbyte.com/connector-development/partner-certified-destinations#exceptions)

@kapa.ai after loading table to destination as expected i have got a column _airbyte_meta but it is like this {"changes":[],"sync_id":299}. why am i not getting any thing in changes even if i load for firstime?

The

_airbyte_meta

column is a structured object containing metadata about the record. The

sync_id

field is an integer identifier for the sync job, and the

changes

field is a list of structured change objects. In your case,

{"changes":[],"sync_id":299}

means that the sync job with the id

299

didn't make any changes to the data. The

changes

field would contain details about any changes made to the data for compatibility and/or to handle errors. For example, if a field had to be nullified due to destination capacity restrictions (e.g., data could not fit), or there was problematic input data (e.g., impossible date or out-of-range date), this would be logged in the

changes

field. Each change object in the

changes

list would have the following fields: - `field`: The name of the field that changed. - `change`: The type of change (e.g.,

NULLED

,

TRUNCATED

). - `reason`: The reason for the change, including its system of origin (i.e., whether it was a source, destination, or platform error). You can refer to the following sources for more information: - [Airbyte Documentation: S3 Destination](https://docs.airbyte.com/integrations/destinations/s3#csv) - [Airbyte Documentation: Typing and Deduping](https://docs.airbyte.com/using-airbyte/core-concepts/typing-deduping#_airbyte_meta-changes) - [Airbyte Documentation: S3 Migration Guide](https://docs.airbyte.com/integrations/destinations/s3-migrations#schema-changes)

The

_airbyte_meta

field is a structured object that contains metadata about the record. It includes two fields:

changes

and

sync_id

. The

changes

field is a list of objects, each of which represents a change to the data. Each object has the following fields:

field

(the name of the field that was affected),

change

(the type of change, currently only

NULLED

or

TRUNCATED

), and

reason

(the reason for the change, including its origin - source, platform, or destination) [source](https://docs.airbyte.com/integrations/destinations/s3-migrations#schema-changes). If you are seeing an empty list in the

changes

field, it means that no changes were made to the data for compatibility and/or to handle errors during the data extraction and loading process. This is a good sign as it indicates that your data was successfully extracted from the source and loaded into the destination without any issues. The

sync_id

field is a monotonically-increasing integer representing the current sync. This field is used to track the sync job that processed the record [source](https://docs.airbyte.com/integrations/destinations/s3-migrations#schema-changes). If you are expecting to see changes in the

_airbyte_meta

field, you might want to check if there were any issues during the data extraction and loading process. If there were issues, they should be reflected in the

changes

field. If there were no issues, the

changes

field will be an empty list.

@kapa.ai are you sure that the changes list will be empty only in this scenario - If there were issues, they should be reflected in the

changes

field. If there were no issues, the

changes

field will be an empty list. or if we change any updating methods can we get change field containing data.

A message from kapa.ai

Yes, the

changes

field in the

_airbyte_meta

column will contain data if there were changes made to the data for compatibility reasons or to handle errors. These changes could be due to typing changes, size changes, or issues with emitting the Airbyte record. For example, if the source declared that the type of a column should be an integer, but a string value was returned, this would be logged as a typing change. Similarly, if the source returned content which cannot be stored within a row or column due to size limitations, this would be logged as a size change. However, if you're referring to changes in the data itself (like updates to the records in the source), these would not be reflected in the

changes

field of the

_airbyte_meta

column. Instead, these changes would be reflected in the records themselves in the destination, depending on the sync mode you're using. For instance, if you're using the Incremental - Append sync mode, new records will be appended to the existing data in the destination, and existing records will never be deleted or mutated. If a record is updated in the source, the updated record will be appended to the destination as a new record. If you want to track changes to the data over time, you might want to consider using the Incremental - Deduped History sync mode, which keeps a history of changes to each record. You can refer to the following sources for more information: - [Airbyte Documentation: Typing and Deduping](https://docs.airbyte.com/using-airbyte/core-concepts/typing-deduping#_airbyte_meta-changes) - [Airbyte Documentation: Incremental Sync - Append](https://docs.airbyte.com/using-airbyte/core-concepts/sync-modes/incremental-append#rules) - [Airbyte Documentation: Incremental Sync - Deduped History](https://docs.airbyte.com/using-airbyte/core-concepts/sync-modes/incremental-deduped-history)

@kapa.ai Do airbyte is anywhere showing data lineage?

A message from kapa.ai

Based on the provided knowledge sources, there is a discussion on GitHub about adding support for Open Lineage (OL) for the Airbyte operator in the Apache Airflow project. Open Lineage is a set of open-source APIs that allow data tools to interoperate, and share lineage and metadata. The user who started the discussion suggests that this functionality could be part of the Airbyte project. However, there is no official response or confirmation from the Airbyte team yet. Here is the link to the discussion: [Airbyte Open Lineage integration](https://github.com/airbytehq/airbyte/discussions/41539) As of now, there is no direct feature in Airbyte that provides data lineage. However, Airbyte provides extensive logs for each connector, giving detailed reports on the data synchronization process. These logs could potentially be used to manually track the lineage of your data. For more details, you may want to follow the discussion on GitHub or reach out to the Airbyte community for more information.

@kapa.ai Iam asking in the web browser(frontend) can i see the overall data lineage? please confirm.

A message from kapa.ai

Yes, you can view the data lineage in the web browser when you use Airbyte in combination with Dagster. Dagster is a modern data orchestrator designed to help you build, test, and monitor your data workflows. When you set up Dagster to oversee both the Airbyte and dbt workflows, you can access Dagster in your browser and navigate to the Global Asset Lineage view. This view gives you a clear picture of the data lineage, visualizing how data flows between the tools. Here are the steps to do this: 1. Navigate to the directory containing the Dagster orchestration configurations. 2. Set the required environment variables for Dagster to interact with other tools like dbt and Airbyte. 3. Launch the Dagster UI. 4. Open your browser and navigate to

<http://127.0.0.1:3000>

. Here, you should see assets for both Airbyte and dbt. To get an overview of how these assets interrelate, click on "view global asset lineage". Please refer to these tutorials for more detailed instructions: - [The DAD Stack: Dagster-Airbyte-dbt](https://airbyte.com/tutorials/the-dad-stack) - [Developer Productivity Analytics Stack With Github, Airbyte, Dbt, Dagster and BigQuery](https://airbyte.com/tutorials/developer-productivity-analytics-stack-with-github-airbyte-dbt-dagster-and-bigquery) - [Airbyte, dbt, Snowflake and Looker (ADSL) Stack](https://airbyte.com/tutorials/airbyte-dbt-snowflake-and-looker-adsl-stack) - [Configure Airbyte Connections with Python (Dagster)](https://airbyte.com/tutorials/configure-airbyte-with-python-dagster)

@kapa.ai Iam asking starightaway in the aitbyte cloud browser . If yes tell me how can i see the data lineage? where can I see./

A message from kapa.ai

I'm sorry for any confusion, but based on the provided knowledge sources, Airbyte itself does not directly provide a data lineage view in its web interface. However, Airbyte does provide a Connection Timeline feature in the Airbyte Cloud UI, which displays information about several types of relevant connection events, including Sync, Refresh, Clear, Connector Version changes, Schema changes, and Connection configuration changes. To review the Connection Timeline, you need to click a connection in the list and navigate to the "Timeline" tab to view its event history. Here is the link to the documentation for more details: [Review the connection timeline](https://docs.airbyte.com/cloud/managing-airbyte-cloud/review-connection-timeline) For a more comprehensive data lineage view, you might need to use additional tools like Dagster, as mentioned in the previous responses. If you have further questions or need more specific features, I would recommend reaching out to the Airbyte support or community for more information.

@kapa.ai CAn I send tags while creating a connection?

A message from kapa.ai

Based on the provided knowledge sources, there is no direct mention of sending tags while creating a connection in Airbyte. The API documentation for creating a connection does not list a parameter for tags. Here is the link to the API documentation for creating a connection: [Airbyte Public API - Connections](https://reference.airbyte.com/reference/start) However, tags are used in the

metadata.yaml

file of a connector to provide additional context about the connector and improve its discoverability. These tags can denote the programming language used by the connector or serve as keywords for searching. Here is the link to the documentation for more details: [Connector Metadata.yaml File - The

tags

Section](https://docs.airbyte.com/connector-development/connector-metadata-file#the-tags-section) If you want to add tags or any other additional information while creating a connection, I would recommend reaching out to the Airbyte support or community for more information.

@kapa.ai after loading strea to destination iam getting afield ...__airbyte__meta which consists sync_id ..does this sync_id and job id are same?

A message from kapa.ai

Yes, the

sync_id

in the

_airbyte_meta

column is indeed the same as the job id. The

sync_id

is an integer identifier for the sync job. This identifier is used to track which sync job the data came from. You can refer to the following sources for more information: - [Airbyte Documentation: S3 Destination](https://docs.airbyte.com/integrations/destinations/s3#csv) - [Airbyte Documentation: JSON to Avro Conversion](https://docs.airbyte.com/understanding-airbyte/json-avro-conversion#example) - [Github Issue: Track incrementally synced rows](https://github.com/airbytehq/airbyte/issues/4025)

@kapa.ai "job": { "id": 347, "configType": "sync", "configId": "d96bdb22-9125-4bd2-91e0-0f8ef1515db3"} conform me and say for sure you are saying that _airbyte__meta which consists sync_id and "id": 347 are same?

A message from kapa.ai

Yes, the

sync_id

in the

_airbyte_meta

column and the

id

in the job configuration are the same. Both of these identifiers are used to track the specific sync job that the data came from. You can refer to the following sources for more information: - [Github Issue: Track incrementally synced rows](https://github.com/airbytehq/airbyte/issues/4025) - [Airbyte Documentation: JSON to Avro Conversion](https://docs.airbyte.com/understanding-airbyte/json-avro-conversion#example)

@kapa.ai Can we send connection details like connection_id,source_id,destination_id like that to target database table attaching the mentioned data so that i can track data_lineage for end to end.

A message from kapa.ai

Based on the provided knowledge sources, Airbyte does not currently support sending connection details like

connection_id

,

source_id

, or

destination_id

directly to the destination tables. However, Airbyte does provide a

_airbyte_emitted_at

column in the destination tables, which indicates when the record was pulled from the source. Also, the

_airbyte_meta

column contains a

sync_id

which corresponds to the job id of the sync job that the data came from. For more comprehensive data lineage tracking, you might need to use additional tools or custom transformations. For example, you could use a tool like Dagster to orchestrate your data workflows and track data lineage. Alternatively, you could use dbt (data build tool) to transform your data in your warehouse and add additional metadata for tracking data lineage. However, please note that dbt was removed from the Airbyte project as per one of the GitHub issues. Please refer to the following sources for more information: - [Github Issue: Track incrementally synced rows](https://github.com/airbytehq/airbyte/issues/4025) - [Github Issue: How to add connection id to each and every table using dbt / any other method?](https://github.com/airbytehq/airbyte/issues/12870) - [Forum Post: Manage multiple sources sync to the same tables](https://discuss.airbyte.io/t/323) If you have further questions or need more specific features, I would recommend reaching out to the Airbyte support or community for more information.

@kapa.ai what does _airbyte_generation_id mean?

A message from kapa.ai

The

_airbyte_generation_id

is a column that Airbyte uses to track the "generation" of data. This is particularly useful when you're using the Refresh and Retain History Syncs feature in Airbyte. Every time a Refresh Sync occurs, the generation increases. The

_airbyte_generation_id

is a monotonically increasing counter which maps to this notion of “generation” of data. Data which was synced before the addition of this feature will have a generation of

null

. This feature allows you to determine if any given record is from before or after the refresh took place. This can be helpful when disambiguating historic data which may have changed due to an unreliable source. For more information, you can refer to the [Airbyte Documentation: Data Generations](https://docs.airbyte.com/operator-guides/refreshes#data-generations).

@kapa.ai what does it mean _airbyte_extracted_at ?

A message from kapa.ai

The

_airbyte_extracted_at

is a column that Airbyte adds to the destination tables. It represents a timestamp indicating when the event or record was pulled from the data source. This timestamp is generated by Airbyte at the time of extraction. This field can be useful for understanding when data was last updated at the source, and for partitioning the data in the destination. For example, in BigQuery, the output tables are partitioned by the

_airbyte_extracted_at

column at a daily granularity. For more information, you can refer to the following sources: - [Airbyte Documentation: BigQuery Destination](https://docs.airbyte.com/integrations/destinations/bigquery#final-table-schema) - [Airbyte Documentation: Redshift Destination](https://docs.airbyte.com/integrations/destinations/redshift#output-schema) - [Airbyte Documentation: Snowflake Destination](https://docs.airbyte.com/integrations/destinations/snowflake#output-schema) - [Airbyte Documentation: Databricks Lakehouse Destination](https://docs.airbyte.com/integrations/destinations/databricks#output-schema) - [Airbyte Documentation: S3 Destination](https://docs.airbyte.com/integrations/destinations/s3#csv)

@kapa.ai when iam using patch and when i want to update the name of the source then can i only send source_id and updated name in payload instead of sending entire info?

A message from kapa.ai

Yes, you can use the

PATCH /sources/{sourceId}

endpoint to partially update a source. This means you can send only the

sourceId

and the updated

name

in the payload, without needing to send the entire source configuration. Here is an example of how you might structure your request body:

json {   "name": "New Source Name" }

You would replace

"New Source Name"

with the new name you want to give to the source. Please note that the

sourceId

should be replaced with the actual ID of the source you want to update in the API endpoint path. For more information, you can refer to the [Airbyte Public API - Sources > Methods > patchSource](https://reference.airbyte.com/reference/start) documentation.

@kapa.ai not only name can i send any parameter if want to update like username,db,password etc without sending entire payload only with wanted or updated items payload

A message from kapa.ai

Yes, you can use the

PATCH /sources/{sourceId}

endpoint to partially update a source. This means you can send only the

sourceId

and the specific fields you want to update in the payload, without needing to send the entire source configuration. Here is an example of how you might structure your request body:

json {   "configuration": {     "username": "New Username",     "password": "New Password",     "database": "New Database"   } }

You would replace

"New Username"

,

"New Password"

, and

"New Database"

with the new values you want to set for these fields. Please note that the

sourceId

should be replaced with the actual ID of the source you want to update in the API endpoint path. For more information, you can refer to the [Airbyte Public API - Sources > Methods > patchSource](https://reference.airbyte.com/reference/start) documentation.

@kapa.ai In connection also while updating what if want to change source_id only?

A message from kapa.ai

Yes, you can use the

PATCH /connections/{connectionId}

endpoint to partially update a connection. This means you can send only the

connectionId

and the

sourceId

you want to update in the payload, without needing to send the entire connection configuration. Here is an example of how you might structure your request body:

json {   "sourceId": "New Source ID" }

You would replace

"New Source ID"

with the new source ID you want to set for the connection. Please note that the

connectionId

should be replaced with the actual ID of the connection you want to update in the API endpoint path. For more information, you can refer to the [Airbyte Public API - Connections > Methods > patchConnection](https://reference.airbyte.com/reference/start) documentation.

@kapa.ai I have a doubt if change my source_id then streams in old source wont be in a latest source right.while syncing we get a problem no?

A message from kapa.ai

Yes, you're correct. If you change the

sourceId

for a connection, the streams associated with the old source won't be available in the new source unless they are also present and configured in the new source. This could potentially cause issues during synchronization if the connection is expecting to sync streams that are not available in the new source. Before changing the

sourceId

, you should ensure that the new source has all the necessary streams configured and that the schema of these streams matches the expectations of the connection and destination. If the new source has a different schema or different streams, you may need to update the connection configuration and potentially also the destination configuration to handle these changes. If you're unsure about how to proceed, it might be a good idea to create a new connection with the new source and test it before updating the existing connection. This way, you can identify and resolve any potential issues without disrupting your existing data synchronization processes. For more information, you can refer to the [Airbyte Public API - Connections > Methods > patchConnection](https://reference.airbyte.com/reference/start) documentation and the [Airbyte Documentation: Understanding Airbyte > Connections](https://docs.airbyte.com/understanding-airbyte/connections).