Transforms VARCHAR date strings into DATE values using TO_DATE, CAST, or CONVERT.
Storing dates as DATE lets Redshift run date math, use partitions, and speed filters. VARCHAR dates block these optimizations.
Use TO_DATE(text, format)
for flexible parsing, or CAST(string AS DATE)
/CONVERT(DATE, string)
when the text is already in ISO-8601 (YYYY-MM-DD).
TO_DATE
matches each format specifier (YYYY, MM, DD, HH24) to the input.Mismatches return NULL, so verify patterns.
SELECT TO_DATE('04/15/2024','MM/DD/YYYY'); -- 2024-04-15
If the string is '2024-04-15'
, simply SELECT '2024-04-15'::DATE;
or CAST('2024-04-15' AS DATE);
Apply TO_DATE
in a COPY
command’s timeformat
or inside a SELECT ...INSERT
staging query to avoid post-load fixes.
1) Add a new DATE column.
2) UPDATE
the new column with TO_DATE
.
3) Drop the old column, or swap names.
• Store dates in ISO-8601 to permit plain casts.
• Validate with REGEXP_LIKE
before casting to cut NULLs.
• Document the expected format in ETL code.
TO_DATE
returns NULL, so add a WHERE filter or COALESCE to flag bad rows: WHERE TO_DATE(raw_date,'DD-Mon-YYYY') IS NULL
.
.
No. TO_DATE returns a DATE without time zone. Use TO_TIMESTAMP for date-time values.
You can, but querying is slower and code becomes harder. Native DATE types enable date functions and compression.
Yes, minor CPU overhead. Prefer pre-casting during ETL so production queries scan DATE columns directly.