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using legacy normalization will be paused on **Oct 1, 2023**. As an Open Source user, you may choose to upgrade at your convenience. However, destination connector versions prior to Destinations V2 will no longer be supported as of **Nov 1, 2023**. ### Breakdown of Breaking Changes @@ -66,6 +28,8 @@ The following table details the delivered data modified by Destinations V2: | Normalized tabular data | API Source | Unnested tables, `_airbyte` metadata columns, SCD tables | | Normalized tabular data | Tabular Source (database, file, etc.) | `_airbyte` metadata columns, SCD tables | +![Airbyte Destinations V2 Column Changes](./assets/destinations-v2-column-changes.png) + Whenever possible, we've taken this opportunity to use the best data type for storing JSON for your querying convenience. For example, `destination-bigquery` now loads `JSON` blobs as type `JSON` in BigQuery (introduced last [year](https://cloud.google.com/blog/products/data-analytics/bigquery-now-natively-supports-semi-structured-data)), instead of type `string`. ## Quick Start to Upgrading @@ -117,9 +81,38 @@ These steps allow you to dual-write for connections incrementally syncing data w 1. Copy the raw data you've already replicated to the new schema being used by your newly created connection. You need to do this for every stream in the connection with an incremental sync mode. Sample SQL you can run in your data warehouse: ```mysql -CREATE TABLE {new_schema}.raw_{stream_name} AS -SELECT * -FROM {old_schema}.raw_{stream_name}; +BEGIN +DECLARE gcp_project STRING; +DECLARE target_dataset STRING; +DECLARE target_table STRING; +DECLARE source_dataset STRING; +DECLARE source_table STRING; +DECLARE old_table STRING; +DECLARE new_table STRING; + +SET gcp_project = ''; +SET target_dataset = 'airbyte_internal'; +SET target_table = ''; +SET source_dataset = ''; +SET source_table = ''; +SET old_table = CONCAT(gcp_project, '.', source_dataset, '.', source_table); +SET new_table = CONCAT(gcp_project, '.', target_dataset, '.', target_table); + +EXECUTE IMMEDIATE FORMAT(''' +CREATE OR REPLACE TABLE `%s` (_airbyte_raw_id STRING, _airbyte_data JSON, _airbyte_extracted_at TIMESTAMP, _airbyte_loaded_at TIMESTAMP) +PARTITION BY DATE(_airbyte_extracted_at) +CLUSTER BY _airbyte_extracted_at +AS ( + SELECT + _airbyte_ab_id AS _airbyte_raw_id, + PARSE_JSON(_airbyte_data) AS _airbyte_data, + _airbyte_emitted_at AS _airbyte_extracted_at, + CAST(NULL AS TIMESTAMP) AS _airbyte_loaded_at + FROM `%s` +) +''', new_table, old_table); + +END; ``` 2. Go to your newly created connection, and navigate to the `Settings` tab. @@ -158,12 +151,6 @@ For each [CDC-supported](https://docs.airbyte.com/understanding-airbyte/cdc) sou | MySQL | [All above upgrade paths supported](#advanced-upgrade-paths) | You can upgrade the connection in place, or dual write. When dual writing, Airbyte can leverage the state of an existing, active connection to ensure historical data is not re-replicated from MySQL. | | SQL Server | [Upgrade connection in place](#quick-start-to-upgrading) | You can optionally dual write, but this requires resyncing historical data from the SQL Server source. | -### Rolling back to Legacy Normalization - -If you are an Airbyte Cloud customer, and have an urgent need to temporarily roll back to legacy normalization, you can reach out to in-app support (Support -> In-App Support, in Airbyte Cloud) for assistance. - -If you are an Airbyte Open Source user, we have published a [rollback version for each destination](#destinations-v2-compatible-versions) that will re-create the final tables with normalization using raw tables in the new format if they are available, and otherwise default to pre-existing raw tables used by legacy normalization. - ## Destinations V2 Compatible Versions For each destination connector, Destinations V2 is effective as of the following versions: diff --git a/docs/understanding-airbyte/typing-deduping.md b/docs/understanding-airbyte/typing-deduping.md new file mode 100644 index 000000000000..e510f6c4c5a9 --- /dev/null +++ b/docs/understanding-airbyte/typing-deduping.md @@ -0,0 +1,68 @@ +# Typing and Deduping + +This page refers to new functionality currently available in **early access**. Typing and deduping will become the new default method of transforming datasets after they've been replicated to your destination. This functionality is going live with [Destinations V2](https://github.com/airbytehq/airbyte/issues/26028), which is now in early access for BigQuery. + +You will eventually be required to upgrade your connections to use the new destination versions. We are building tools for you to copy your connector’s configuration to a new version to make testing new destinations easier. These will be available in the next few weeks. + +## What is Destinations V2? + +At launch, Airbyte Destinations V2 will provide: +* One-to-one table mapping: Data in one stream will always be mapped to one table in your data warehouse. No more sub-tables. +* Improved error handling with `_airbyte_meta`: Airbyte will now populate typing errors in the `_airbyte_meta` column instead of failing your sync. You can query these results to audit misformatted or unexpected data. +* Internal Airbyte tables in the `airbyte_internal` schema: Airbyte will now generate all raw tables in the `airbyte_internal` schema. We no longer clutter your destination schema with raw data tables. +* Incremental delivery for large syncs: Data will be incrementally delivered to your final tables. No more waiting hours to see the first rows in your destination table. + +## Destinations V2 Example + +Consider the following [source schema](https://docs.airbyte.com/integrations/sources/faker) for stream `users`: + +```json +{ + "id": "number", + "first_name": "string", + "age": "number", + "address": { + "city": "string", + "zip": "string" + } +} +``` + +The data from one stream will now be mapped to one table in your schema as below: + +#### Destination Table Name: *public.users* + +| *(note, not in actual table)* | _airbyte_raw_id | _airbyte_extracted_at | _airbyte_meta | id | first_name | age | address | +|----------------------------------------------- |----------------- |--------------------- |-------------------------------------------------------------------------- |---- |------------ |------ |--------------------------------------------- | +| Successful typing and de-duping ⟶ | xxx-xxx-xxx | 2022-01-01 12:00:00 | {} | 1 | sarah | 39 | { city: “San Francisco”, zip: “94131” } | +| Failed typing that didn’t break other rows ⟶ | yyy-yyy-yyy | 2022-01-01 12:00:00 | { errors: { age: “fish” is not a valid integer for column “age” }} | 2 | evan | NULL | { city: “Menlo Park”, zip: “94002” } | +| Not-yet-typed ⟶ | | | | | | | | + +In legacy normalization, columns of [Airbyte type](https://docs.airbyte.com/understanding-airbyte/supported-data-types/#the-types) `Object` in the Destination were "unnested" into separate tables. In this example, with Destinations V2, the previously unnested `public.users_address` table with columns `city` and `zip` will no longer be generated. + +#### Destination Table Name: *airbyte.raw_public_users* (`airbyte.{namespace}_{stream}`) + +| *(note, not in actual table)* | _airbyte_raw_id | _airbyte_data | _airbyte_loaded_at | _airbyte_extracted_at | +|----------------------------------------------- |----------------- |------------------------------------------------------------------------------------------------------------- |---------------------- |--------------------- | +| Successful typing and de-duping ⟶ | xxx-xxx-xxx | { id: 1, first_name: “sarah”, age: 39, address: { city: “San Francisco”, zip: “94131” } } | 2022-01-01 12:00:001 | 2022-01-01 12:00:00 | +| Failed typing that didn’t break other rows ⟶ | yyy-yyy-yyy | { id: 2, first_name: “evan”, age: “fish”, address: { city: “Menlo Park”, zip: “94002” } } | 2022-01-01 12:00:001 | 2022-01-01 12:00:00 | +| Not-yet-typed ⟶ | zzz-zzz-zzz | { id: 3, first_name: “edward”, age: 35, address: { city: “Sunnyvale”, zip: “94003” } } | NULL | 2022-01-01 13:00:00 | + +You also now see the following changes in Airbyte-provided columns: + +![Airbyte Destinations V2 Column Changes](../release_notes/assets/destinations-v2-column-changes.png) + +## Participating in Early Access + +You can start using Destinations V2 for BigQuery in early access by following the below instructions: + +1. **Upgrade your BigQuery Destination**: If you are using Airbyte Open Source, update your BigQuery destination version to the latest version. If you are a Cloud customer, this step will already be completed on your behalf. +2. **Enabling Destinations V2**: Create a new BigQuery destination, and enable the Destinations V2 option under `Advanced` settings. You will need your BigQuery credentials for this step. For this early release, we ask that you enable Destinations V2 on a new BigQuery destination using new connections. When Destinations V2 is fully available, there will be additional migration paths for upgrading your destination without resetting any of your existing connections. + 1. If your previous BigQuery destination is using “GCS Staging”, you can reuse the same staging bucket. + 2. Do not enable Destinations V2 on your previous / existing BigQuery destination during early release. It will cause your existing connections to fail. +3. **Create a New Connection**: Create connections using the new BigQuery destination. These will automatically use Destinations V2. + 1. If your new destination has the same default namespace, you may want to add a stream prefix to avoid collisions in the final tables. + 2. Do not modify the ‘Transformation’ settings. These will be ignored. +4. **Monitor your Sync**: Wait at least 20 minutes, or until your sync is complete. Verify the data in your destination is correct. Congratulations, you have successfully upgraded your connection to Destinations V2! + +Once you’ve completed the setup for Destinations V2, we ask that you pay special attention to the data delivered in your destination. Let us know immediately if you see any unexpected data: table and column name changes, missing columns, or columns with incorrect types. diff --git a/docusaurus/sidebars.js b/docusaurus/sidebars.js index 56ba90c5fa6b..5bc638c52eed 100644 --- a/docusaurus/sidebars.js +++ b/docusaurus/sidebars.js @@ -385,6 +385,7 @@ const understandingAirbyte = { 'understanding-airbyte/airbyte-protocol', 'understanding-airbyte/airbyte-protocol-docker', 'understanding-airbyte/basic-normalization', + 'understanding-airbyte/typing-deduping', { type: 'category', label: 'Connections and Sync Modes', From 1168a8540140846a7981b18bde57ef5766f6f053 Mon Sep 17 00:00:00 2001 From: Alexandre Cuoci Date: Tue, 1 Aug 2023 11:31:59 -0700 Subject: [PATCH 2/4] bugfix --- docs/release_notes/upgrading_to_destinations_v2.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/release_notes/upgrading_to_destinations_v2.md b/docs/release_notes/upgrading_to_destinations_v2.md index 55319d770403..02658f52c969 100644 --- a/docs/release_notes/upgrading_to_destinations_v2.md +++ b/docs/release_notes/upgrading_to_destinations_v2.md @@ -8,7 +8,7 @@ Starting today, Airbyte Destinations V2 provides you with: * Internal Airbyte tables in the `airbyte_internal` schema: Airbyte will now generate all raw tables in the `airbyte_internal` schema. We no longer clutter your destination schema with raw data tables. * Incremental delivery for large syncs: Data will be incrementally delivered to your final tables. No more waiting hours to see the first rows in your destination table. -To see more details and examples on the contents of the Destinations V2 release, see this [guide](/docs/understanding-airbyte/typing-deduping.md). The remainder of this page will walk you through upgrading connectors from legacy normalization to Destinations V2. +To see more details and examples on the contents of the Destinations V2 release, see this [guide](/docs/understanding-airbyte/typing-deduping). The remainder of this page will walk you through upgrading connectors from legacy normalization to Destinations V2. ## Deprecating Legacy Normalization From 4a867845d947f132d5d9bd46d7d1b9485c84cd27 Mon Sep 17 00:00:00 2001 From: Alexandre Cuoci Date: Tue, 1 Aug 2023 13:43:57 -0700 Subject: [PATCH 3/4] fixes --- docs/release_notes/upgrading_to_destinations_v2.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/release_notes/upgrading_to_destinations_v2.md b/docs/release_notes/upgrading_to_destinations_v2.md index 02658f52c969..e3555f7c213a 100644 --- a/docs/release_notes/upgrading_to_destinations_v2.md +++ b/docs/release_notes/upgrading_to_destinations_v2.md @@ -8,7 +8,7 @@ Starting today, Airbyte Destinations V2 provides you with: * Internal Airbyte tables in the `airbyte_internal` schema: Airbyte will now generate all raw tables in the `airbyte_internal` schema. We no longer clutter your destination schema with raw data tables. * Incremental delivery for large syncs: Data will be incrementally delivered to your final tables. No more waiting hours to see the first rows in your destination table. -To see more details and examples on the contents of the Destinations V2 release, see this [guide](/docs/understanding-airbyte/typing-deduping). The remainder of this page will walk you through upgrading connectors from legacy normalization to Destinations V2. +To see more details and examples on the contents of the Destinations V2 release, see this [guide](../understanding-airbyte/typing-deduping.md). The remainder of this page will walk you through upgrading connectors from legacy normalization to Destinations V2. ## Deprecating Legacy Normalization From 1978d89d7e1a2e1db92171541b04b42635da9db1 Mon Sep 17 00:00:00 2001 From: Alexandre Cuoci Date: Tue, 1 Aug 2023 14:59:44 -0700 Subject: [PATCH 4/4] Apply suggestions from code review Co-authored-by: Evan Tahler --- docs/understanding-airbyte/typing-deduping.md | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/docs/understanding-airbyte/typing-deduping.md b/docs/understanding-airbyte/typing-deduping.md index e510f6c4c5a9..4eab218724c6 100644 --- a/docs/understanding-airbyte/typing-deduping.md +++ b/docs/understanding-airbyte/typing-deduping.md @@ -1,6 +1,6 @@ # Typing and Deduping -This page refers to new functionality currently available in **early access**. Typing and deduping will become the new default method of transforming datasets after they've been replicated to your destination. This functionality is going live with [Destinations V2](https://github.com/airbytehq/airbyte/issues/26028), which is now in early access for BigQuery. +This page refers to new functionality currently available in **early access**. Typing and deduping will become the new default method of transforming datasets within data warehouse and database destinations after they've been replicated. This functionality is going live with [Destinations V2](https://github.com/airbytehq/airbyte/issues/26028), which is now in early access for BigQuery. You will eventually be required to upgrade your connections to use the new destination versions. We are building tools for you to copy your connector’s configuration to a new version to make testing new destinations easier. These will be available in the next few weeks. @@ -8,9 +8,9 @@ You will eventually be required to upgrade your connections to use the new desti At launch, Airbyte Destinations V2 will provide: * One-to-one table mapping: Data in one stream will always be mapped to one table in your data warehouse. No more sub-tables. -* Improved error handling with `_airbyte_meta`: Airbyte will now populate typing errors in the `_airbyte_meta` column instead of failing your sync. You can query these results to audit misformatted or unexpected data. -* Internal Airbyte tables in the `airbyte_internal` schema: Airbyte will now generate all raw tables in the `airbyte_internal` schema. We no longer clutter your destination schema with raw data tables. -* Incremental delivery for large syncs: Data will be incrementally delivered to your final tables. No more waiting hours to see the first rows in your destination table. +* Improved per-row error handling with `_airbyte_meta`: Airbyte will now populate typing errors in the `_airbyte_meta` column instead of failing your sync. You can query these results to audit misformatted or unexpected data. +* Internal Airbyte tables in the `airbyte_internal` schema: Airbyte will now generate all raw tables in the `airbyte_internal` schema. We no longer clutter your desired schema with raw data tables. +* Incremental delivery for large syncs: Data will be incrementally delivered to your final tables when possible. No more waiting hours to see the first rows in your destination table. ## Destinations V2 Example @@ -35,7 +35,7 @@ The data from one stream will now be mapped to one table in your schema as below | *(note, not in actual table)* | _airbyte_raw_id | _airbyte_extracted_at | _airbyte_meta | id | first_name | age | address | |----------------------------------------------- |----------------- |--------------------- |-------------------------------------------------------------------------- |---- |------------ |------ |--------------------------------------------- | | Successful typing and de-duping ⟶ | xxx-xxx-xxx | 2022-01-01 12:00:00 | {} | 1 | sarah | 39 | { city: “San Francisco”, zip: “94131” } | -| Failed typing that didn’t break other rows ⟶ | yyy-yyy-yyy | 2022-01-01 12:00:00 | { errors: { age: “fish” is not a valid integer for column “age” }} | 2 | evan | NULL | { city: “Menlo Park”, zip: “94002” } | +| Failed typing that didn’t break other rows ⟶ | yyy-yyy-yyy | 2022-01-01 12:00:00 | { errors: {[“fish” is not a valid integer for column “age”]} | 2 | evan | NULL | { city: “Menlo Park”, zip: “94002” } | | Not-yet-typed ⟶ | | | | | | | | In legacy normalization, columns of [Airbyte type](https://docs.airbyte.com/understanding-airbyte/supported-data-types/#the-types) `Object` in the Destination were "unnested" into separate tables. In this example, with Destinations V2, the previously unnested `public.users_address` table with columns `city` and `zip` will no longer be generated.