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Data Pipeline Manager: Re-sync a single table

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Peliqan’s scheduler keeps every pipeline running on its own interval. The Data Pipeline Manager is the data app template you add when you need control over a single table – re-sync one table, reset its bookmark, or reload it clean, without re-running the whole connection.

Why you need this plugin

You can already schedule a connection to sync hourly, nightly or every fifteen minutes. That covers normal operation. What the scheduler cannot do is act on one table. When a single table fails, or a source changed and only that table needs reloading, the scheduler’s only option is to re-run everything. The Data Pipeline Manager adds that missing level of control.

What you can do with it

  1. 1Re-sync one table on its own. Pick a connection, then select a single table – or all incremental tables, or all non-incremental tables – and run only those.
  2. 2Reset a bookmark. An incremental pipeline remembers where it stopped. Reset that bookmark and the next run reloads the table in full – useful after a bad load or a schema change at the source.
  3. 3Truncate before re-sync, or run discovery first. Clear the table and reload it clean, or let discovery pick up new columns from the source before the sync runs.
  4. 4See what actually happened. Bookmarks and row counts per table, plus the last five syncs, so you can confirm a run did what you expected.
  5. 5Schedule your selection. Save a connection, tables and action, then give the app its own interval, days and start time so it runs on its own.
Use the scheduler to keep everything in sync. Use the Data Pipeline Manager when you need to fix, reload or re-run one table without touching the rest.

How to add it

The Data Pipeline Manager is a data app template. Add it from the templates library in Peliqan and it works against your existing connections immediately – there is nothing to install or host.

Want to try it on your own pipelines? Get started with Peliqan

FAQs

Yes. The scheduler runs a whole connection, but the Data Pipeline Manager lets you select one table – or just the incremental ones – and run only those.

A bookmark is the marker an incremental pipeline stores to remember where it stopped, so the next run only picks up new and changed records. Resetting it forces a full reload of that table.

Reset its bookmark, or truncate the table before re-syncing. Both are single actions in the Data Pipeline Manager and neither affects your other tables.

The scheduler decides when a connection syncs. The pipeline manager decides what syncs and lets you intervene on individual tables when something needs fixing.

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