Truncate Dates in Parquet Files Online
Truncate date and timestamp columns in Parquet files to a chosen precision — year, quarter, month, week, day, hour, or minute — directly in your browser. Rounds timestamps down to the start of each period. No upload required.
Drop your .parquet file here
or click to browse — max 50 MB
About this tool
Round every timestamp in a Parquet file down to the start of a chosen time period — year, quarter, month, week, day, hour, or minute. This is the standard date_trunc operation used in SQL for time-series bucketing and GROUP BY aggregation. Common uses include grouping events into monthly or weekly buckets, aligning sensor readings to hour boundaries, and stripping time components before joining on date. The tool casts text columns automatically, replaces or appends the result, and runs entirely in your browser.
Frequently Asked Questions
What does truncating a date to month mean in a Parquet file?
It sets the timestamp to midnight on the first day of that month. For example, 2024-03-15 09:45:22 becomes 2024-03-01 00:00:00. The date_trunc function rounds down, never up.
Can I truncate a text date column in a Parquet file?
Yes. The tool automatically casts text columns to TIMESTAMP before truncating using TRY_CAST. If any values cannot be parsed as dates, those rows will return NULL in the output. Use the Date Parse tool first if you need to standardise the format.
What is the difference between date truncation and date formatting in a Parquet file?
Truncation changes the underlying date value — it rounds it down to the nearest period. Formatting only changes how the date is displayed as text without altering the value. Use truncation when you want to group timestamps into buckets for aggregation or filtering.
Is my data private?
Yes — completely. Your file is never uploaded to any server. Everything runs locally in your browser using WebAssembly — processing happens entirely inside your tab. Once you close the tab, nothing is retained.
What is the maximum file size?
The free limit is 50 MB. For larger files, performance depends on your device's available memory — most modern machines handle 500 MB to 1 GB comfortably.
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