What to Check Before Ingesting from Postgres

May 2026

PostgreSQL ingestion is cleaner when you verify the connection details and choose whether to read specific tables or a custom query before the first run.

Short Answer

Before ingesting from Postgres, check host, port, user, password, and database, or verify that the connection_string override is correct if you prefer a DSN. Then decide whether the first pipeline should read selected tables or use a custom query. The connector supports both patterns, and that choice affects how the team validates the first run.

A common first setup is host: localhost, port: 5432, database: mydb, and tables: public.customers,public.orders. That only works if the database user can read those tables from the same network where Skippr runs. If someone swaps in a connection_string later, remember that it overrides the individual fields, so the effective connection target may change even though the rest of the YAML still looks familiar.

Why Teams Struggle with This

Postgres can feel deceptively straightforward because the defaults are familiar, but the first ingestion still depends on matching the runtime environment to the configuration that Skippr actually uses. A wrong password, host, or override DSN can make a healthy server look unavailable.

• If connection_string is present, it overrides individual connection fields and becomes the real source of truth.
• The database user needs read access to the selected tables or views.
• Choosing tables versus query changes the extraction contract and should be explicit before validation starts.
• If the project will later use WAL logical replication for CDC, plan that separately from the first table-read setup.

How Skippr Handles It

Skippr gives the PostgreSQL source enough flexibility to fit both local tests and production-like environments without making the first ingestion vague. You can configure connection fields directly, swap to a DSN when that is easier operationally, and then read either named tables or a custom query.

That makes the connector a good fit for staged rollout. The team can prove basic extraction first, then decide whether broader discovery, query-driven reads, or a later CDC setup is the right next step.

• Direct PostgreSQL source configuration with host, port, user, password, and database fields.
• Optional connection_string override when a single DSN is easier to manage.
• Extraction through either table selection or a custom SQL query.
• A documented CDC follow-up path for WAL logical replication when the project expands beyond initial reads.

What the First Useful Version Looks Like

The first useful Postgres pipeline usually targets one database and a short list of known tables so row counts and schema expectations are easy to verify.

If your team is split between using individual fields and a DSN, settle that early so everyone debugs the same effective connection settings.