@kapa.ai i want to uses mysql connector but i dont want to load all the data , how can i do?

There are a few approaches you can use with the MySQL connector to avoid loading all your data: 1. Use Incremental Sync Mode Instead of a full refresh, use Incremental | Append sync mode. This will only sync rows that have changed since the last sync, rather than reloading the entire table each time. This is especially effective when combined with CDC (Change Data Capture). [MySQL CDC tutorial] 2. Create a View on the Source Database Since Airbyte follows an ELT philosophy and doesn't support custom filtering predicates at the source level, a recommended workaround is to create a view in your MySQL database that contains only the data you want to replicate. Airbyte can then sync that view instead of the full table. [forum: lookup values] [forum: CDC to Kafka] 3. Use Row Filtering (Mappings) Airbyte supports row filtering through its Mappings feature, which lets you filter out irrelevant or unwanted rows during a sync. This can help reduce the amount of data loaded into your destination. Note that filtering is currently limited to fields of type string and number. [filter rows docs] ------------------------- Summary of recommendations: • For ongoing syncs: use Incremental sync mode (with or without CDC). • For filtering specific rows/columns at the source: create a MySQL view with the desired data and sync that view. • For post-extraction filtering: use Airbyte's row filtering feature in Mappings. 👍 0 button 👎 0 button ℹ️ Tip: Mention @kapa.ai in the thread for follow-ups or DM the app for 1-to-1 help.

i want to load only the last year from the created_on @kapa.ai

Based on your goal of loading only the last year of data from a

created_on

field, here are the approaches supported by Airbyte: 1. Create a MySQL View (Recommended) Since Airbyte doesn't support custom SQL predicates directly on source tables, the most reliable approach is to create a view in your MySQL database that filters data to only the last year:

CREATE VIEW my_table_last_year AS
SELECT * FROM my_table
WHERE created_on >= DATE_SUB(NOW(), INTERVAL 1 YEAR);

Then configure your Airbyte connection to sync this view instead of the full table. [forum: CDC to Kafka] 2. Use Row Filtering (Mappings) Airbyte's row filtering feature (via Mappings) allows you to filter rows based on field values. If

created_on

is a string or number type, you could use this to filter out older records. However, note that filtering is only supported for fields of type string and number, so this depends on how your

created_on

field is stored. [filter rows docs] 3. Use Incremental Sync with a Start Date If you're using the Connector Builder or a connector that supports it, you can configure a Start datetime to only pull records from a specific point in time (e.g., one year ago), using

created_on

as the cursor field. [incremental sync docs] ------------------------- Bottom line: The most straightforward and reliable option for the standard MySQL connector is to create a filtered view in MySQL and sync that view. This gives you full control over the date range without relying on Airbyte-side filtering. 👍 0 button 👎 0 button ℹ️ Tip: Mention @kapa.ai in the thread for follow-ups or DM the app for 1-to-1 help.

can i crate a connector builder from mysql connector ?

The knowledge sources I have available focus on general connector development setup (Python connectors, environment setup, building/loading connector images), but they don't contain specific guidance on building a custom MySQL connector from scratch. Here's what I can share based on the available documentation: General Steps to Build a Custom Connector 1. Set Up Your Environment Clone the Airbyte repository and create a new connector directory:

git clone git@github.com:airbytehq/airbyte.git
cd airbyte

# Create your connector directory
mkdir airbyte-integrations/connectors/source-my-mysql
cd airbyte-integrations/connectors/source-my-mysql

# Initialize the project and add the CDK
poetry init
poetry add airbyte-cdk

[environment setup] 2. Add a

metadata.yaml

File Each connector requires a valid

metadata.yaml

file in its root directory. [environment setup] 3. Implement the Connector Entrypoints Your connector must support these commands:

spec

,

check

,

discover

, and

read

. [environment setup] 4. Build and Test the Docker Image

airbyte-ci connectors --name source-my-mysql build

Then load it into your local Airbyte instance:

kind load docker-image airbyte/source-my-mysql:dev -n airbyte-abctl

[connector contributions] ------------------------- For a full step-by-step walkthrough, I'd recommend following the custom Python connector tutorial in the Airbyte docs, and adapting it for MySQL using the

mysql-connector-python

or

PyMySQL

library. > ⚠️ Note: Before building from scratch, consider whether the existing MySQL source connector in Airbyte's catalog already meets your needs, potentially combined with the view-based filtering approach we discussed earlier. 👍 0 button 👎 0 button ℹ️ Tip: Mention @kapa.ai in the thread for follow-ups or DM the app for 1-to-1 help.

it is existing on the catalog but i want to make a limitation with the last year @kapa.ai

Since you're using the existing MySQL connector from the catalog (not a custom connector), your options for limiting data to the last year are more constrained. Based on the available knowledge sources, here's what applies: Best Option: Create a MySQL View The most reliable approach is to create a filtered view in your MySQL database and sync that view instead of the full table:

CREATE VIEW my_table_last_year AS
SELECT * FROM my_table
WHERE created_on >= DATE_SUB(NOW(), INTERVAL 1 YEAR);

Then in your Airbyte connection, select this view instead of the original table. This is the approach explicitly recommended in the Airbyte community for cases where you want to limit the data replicated. [forum: CDC to Kafka] Why Other Options Are Limited • The standard MySQL catalog connector does not support configuring a

start_datetime

or cursor-based filtering at the source level — that feature is specific to connectors built with the Connector Builder or config-based framework. • Airbyte's row filtering via Mappings may work if

created_on

is stored as a string or number type, but this filtering happens after data is fetched, not at the query level. ------------------------- Bottom line: For the catalog MySQL connector, creating a filtered view in MySQL is the cleanest and most supported way to limit data to the last year. 👍 0 button 👎 0 button ℹ️ Tip: Mention @kapa.ai in the thread for follow-ups or DM the app for 1-to-1 help.