Skip to content

Feat: handle additional pseudocolumn types in bigquery when resolving… #5085

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
izeigerman merged 1 commit into from
Jul 31, 2025
Merged

Feat: handle additional pseudocolumn types in bigquery when resolving… #5085

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
28 changes: 20 additions & 8 deletions sqlmesh/core/engine_adapter/bigquery.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -324,14 +324,26 @@ def create_mapping_schema(
bq_table = self._get_table(table)
columns = create_mapping_schema(bq_table.schema)

if (
include_pseudo_columns
and bq_table.time_partitioning
and not bq_table.time_partitioning.field
):
columns["_PARTITIONTIME"] = exp.DataType.build("TIMESTAMP", dialect="bigquery")
if bq_table.time_partitioning.type_ == "DAY":
columns["_PARTITIONDATE"] = exp.DataType.build("DATE")
if include_pseudo_columns:
if bq_table.time_partitioning and not bq_table.time_partitioning.field:
columns["_PARTITIONTIME"] = exp.DataType.build("TIMESTAMP", dialect="bigquery")
if bq_table.time_partitioning.type_ == "DAY":
columns["_PARTITIONDATE"] = exp.DataType.build("DATE")
if bq_table.table_id.endswith("*"):
columns["_TABLE_SUFFIX"] = exp.DataType.build("STRING", dialect="bigquery")
if (
bq_table.external_data_configuration is not None
and bq_table.external_data_configuration.source_format
in (
"CSV",
"NEWLINE_DELIMITED_JSON",
"AVRO",
"PARQUET",
"ORC",
"DATASTORE_BACKUP",
)
):
columns["_FILE_NAME"] = exp.DataType.build("STRING", dialect="bigquery")

return columns

Expand Down