@kapa.ai could you please explain me how the icremental load is working in source(csv) and target(postgres) . how the new records is inserting instead of all.

How Incremental Sync Works (CSV Source → Postgres Destination) The knowledge sources don't specifically cover a CSV source connector, but the core incremental sync mechanics apply generally across Airbyte sources. Here's how it works: The Core Concept Instead of copying all records on every sync, incremental sync only replicates records that are new or modified since the last sync. [Incremental Append Docs] How New Records Are Identified: The Cursor The key mechanism is a cursor field — a column in your data (commonly

updated_at

or an auto-incrementing

id

) that tracks which records have already been synced. [Incremental Append Docs] Here's the flow: 1. First sync — All records are treated as new and replicated to Postgres (behaves like a full refresh). 2. Airbyte stores the cursor value — It saves the maximum cursor value (e.g., the latest

updated_at

timestamp) from that sync. 3. Subsequent syncs — Airbyte queries the source using a condition like

WHERE cursor_field >= last_cursor_value

, so only new or updated records are fetched and appended to Postgres. [Incremental Sync Tutorial] Two Incremental Sync Modes [Incremental Append + Deduped] Requirements for Incremental Sync to Work For incremental sync to work correctly, your CSV data needs: [Connector Builder Incremental Sync] • A cursor field (e.g.,

updated_at

,

created_at

, or an incrementing

id

) at the top level of each record. • The cursor field values must be monotonically increasing (always growing over time). • Records with NULL cursor values will be excluded from incremental syncs. > ⚠️ Note: The knowledge sources do not contain specific details about the CSV source connector's incremental sync support. Some source connectors may have limitations — I'd recommend checking the Airbyte CSV source connector documentation directly to confirm it supports incremental sync and which cursor fields are available. 👍 0 button 👎 0 button ℹ️ Tip: Mention @kapa.ai in the thread for follow-ups or DM the app for 1-to-1 help., with interactive elements

@kapa.ai where the data is storing . like the last updated cursor value. last id to identify the new records

Where the Cursor State is Stored Airbyte stores the cursor value (last synced state) in its internal Postgres database. [Incremental Sync Tutorial] The state Table The cursor value is persisted in a table called

state

inside Airbyte's internal database. You can inspect it by running:

docker exec -ti airbyte-db psql -U docker -d airbyte

Then query the state table:

SELECT * FROM state;

Which returns something like:

id | connection_id | state | created_at | updated_at | stream_name | namespace | type
...
{"state": {"cdc": false, "streams": [{"cursor": "2022-09-02T07:55:58.324989", 
"stream_name": "table_one", "cursor_field": ["updated_at"], "stream_namespace": "public"}]}}

[Incremental Sync Tutorial] Key Columns in the state Table [State Table Docs] How It's Used • After each sync, Airbyte saves the maximum cursor value seen in that sync to this table. • On the next sync, Airbyte reads this stored value and uses it to fetch only records newer than that cursor. [Airbyte Protocol Docs] • If a sync fails mid-way, the last successfully checkpointed cursor value is used, so the next sync picks up from that point rather than starting over. [Airbyte Protocol Docs] Viewing/Editing State via UI You can also view and edit the connection state directly in the Airbyte UI: 1. Go to Connections → select your connection 2. Click the Settings tab 3. Expand the Advanced dropdown The Connection State will be displayed there. [Manage Connection State] > ⚠️ Editing the state should be done with care, as incorrect changes can break your syncs and may require a full historical resync to fix. 👍 0 button 👎 0 button ℹ️ Tip: Mention @kapa.ai in the thread for follow-ups or DM the app for 1-to-1 help., with interactive elements