Generate a SQL IN Clause from a List
Paste a column of IDs or values from Excel, a CSV, or a text file and get a properly quoted SQL IN (...) clause ready to drop into your query.
Open SQL IN Clause Builder with a ready-to-run example.
- A stakeholder emails you a list of customer IDs in Excel and you need to query them in your database.
- You have a CSV export and need to check which rows are still present in the database.
- You need to delete or update a specific set of records by ID.
- Your IN clause has more than 1000 values and the database returns an error (Oracle limit).
- Paste your list of IDs or values — one per line, or comma-separated — into the SQL IN Clause Builder.
- Choose whether to quote the values (for string columns) and whether to deduplicate.
- Set a chunk size if your database limits IN clause length.
- Copy the generated
WHERE customer_id IN (1, 2, 3, ...)clause into your query.
- For numeric IDs, leave quoting off to avoid implicit type conversion overhead.
- Oracle limits IN clauses to 1000 items — use chunking to split into multiple clauses joined with OR.
- Deduplicate before building the clause to avoid unnecessary query load.
- NOT IN with NULL values in the list returns no rows — if your column can be NULL, use NOT EXISTS instead.
10 customer IDs from Excel
1001 1002 1003 1004 1005 1006 1007 1008 1009 1010
WHERE customer_id IN ( 1001, 1002, 1003, 1004, 1005, 1006, 1007, 1008, 1009, 1010 )
Country codes (string values)
US GB DE FR AU
WHERE country_code IN ('US', 'GB', 'DE', 'FR', 'AU')
Enable the Quote values toggle to wrap each item in single quotes. This is required for VARCHAR/TEXT columns but should be avoided for integer columns to prevent type coercion.
Oracle and some other databases reject IN clauses with more than 1000 items. Chunking splits your list into multiple IN clauses of the configured size, which you join with OR in your WHERE clause.
Yes, toggle NOT IN. Be cautious: if any value in the list is NULL, NOT IN returns zero rows for all comparisons. Use NOT EXISTS for nullable columns to avoid this pitfall.
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