Files
beanflows/transform/sqlmesh_materia/models/raw/psd_data.sql
Deeman 423fb8c619 Fix extract and SQLMesh pipeline to build DuckDB lakehouse
extract: wrap response.content in BytesIO before passing to
normalize_zipped_csv, and call .read() on the returned BytesIO before
write_bytes (two bugs: wrong type in, wrong type out)

sqlmesh: {{ var() }} inside SQL string literals is not substituted by
SQLMesh's Jinja (SQL parser treats them as opaque strings). Replace with
a @psd_glob() macro that evaluates LANDING_DIR at render time and returns
a quoted glob path string.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-02-20 17:02:59 +01:00

25 lines
1.0 KiB
SQL

MODEL (
name raw.psd_alldata,
kind FULL,
grain ( commodity_code, country_code, market_year, calendar_year, month, attribute_id,unit_id ),
start '2006-08-01',
cron '@daily',
columns (
commodity_code varchar,
commodity_description varchar,
country_code varchar,
country_name varchar,
market_year varchar,
calendar_year varchar,
month varchar,
attribute_id varchar,
attribute_description varchar,
unit_id varchar,
unit_description varchar,
value varchar,
filename varchar
)
);
select *
FROM read_csv(@psd_glob(), delim=',', encoding='utf-8', compression='gzip', max_line_size=10000000, header=true, union_by_name=true, filename=true, names = ['commodity_code', 'commodity_description', 'country_code', 'country_name', 'market_year', 'calendar_year', 'month', 'attribute_id', 'attribute_description', 'unit_id', 'unit_description', 'value'], all_varchar=true)