Try the catalog import with the awkward variants first

A catalog import is easier to assess when the test data includes the cases that challenge the model. A set of simple products can pass while variants, missing values and discontinued items fail later.

Prepare a representative set

For a Czech supplier, choose fictional or approved records containing an ordinary item, a product family, several variants, a missing document and a retired item. Include text and identifiers in the formats the business actually uses.

Check the relationships

An import should preserve which variants belong to which family and which reference identifies an orderable item. A correct row count cannot establish that those relationships remain meaningful.

Agree missing-value behavior

An absent field might mean unknown, unchanged or deliberately cleared. Those meanings need an explicit rule. Otherwise a routine update can erase a reviewed description or leave an obsolete document attached.

Inspect the public result

Ask a product owner to find the test item, compare its variants and prepare a request. Check the staff record too. A technically successful import is only part of acceptance.

Database constraint documentation explains tools for enforcing parts of a model, while the actual provider and application define the exchange. We can scope a trial import within catalog and integration work before moving the full data set.