CSV to SQL IN Statement

Paste a CSV export, pick a column, and get a ready-to-run SQL IN clause — values quoted and escaped, duplicates removed, and long lists chunked below Oracle's 1000-item limit.

csv-to-sql-in · runs locally
0Values used
0Duplicates removed
0Chunks

From spreadsheet column to WHERE clause

It comes up constantly: someone hands you a CSV of order numbers or user emails and asks you to “check these in the database.” This tool does the tedious middle step. It parses the CSV with a proper RFC 4180 parser (quoted fields and embedded commas survive), lets you pick the column you care about, and emits a col IN ('a', 'b', 'c') clause with values escaped, duplicates removed and — if you ask — the list split into chunks that Oracle will accept.

The delimiter is auto-detected (comma, semicolon, tab or pipe) and the header row is guessed from the data, but both are overridable. If your values arrive as JSON instead of CSV, the JSON Array to SQL IN Statement tool is the same idea for arrays and API responses.

How to build a SQL IN clause from CSV

  1. Paste your CSV — a full export is fine, you only pick one column.
  2. Check the detected delimiter and header setting, then choose the column.
  3. Set quoting (auto handles most cases), optionally type a column name, and pick a chunk size if the list is long.
  4. Copy the SQL straight into your query.

Quoting, duplicates and the 1000-item wall

Three details separate a clean IN clause from a broken one. Quoting must match the column type — quoted numbers against an integer column can stop the database using its index. Duplicates are legal but noisy, so they are removed by default. And Oracle flatly refuses lists longer than 1000 items (ORA-01795); the chunking option rewrites the clause as (col IN (…) OR col IN (…)) so it runs anyway. Everything happens locally in your browser, so production identifiers never leave your machine.

Frequently asked questions

Is my CSV uploaded anywhere?

No. Parsing and SQL generation run entirely in your browser — nothing is transmitted or stored. That matters here, because the lists people paste into this tool are usually production IDs, customer emails or order numbers.

Is the generated SQL safe from injection?

Single quotes inside values are doubled ('') — the standard SQL string-literal escape — so the output is well-formed. But generated literals belong in ad-hoc queries you run yourself as an analyst or during debugging. Application code should never build IN lists by string concatenation; use parameterized queries instead.

Why would I split the list into chunks?

Oracle rejects IN lists longer than 1000 items with ORA-01795, so the 1000 chunk setting splits your list into multiple IN groups joined with OR. SQL Server and Postgres accept longer lists but slow down as they grow — for really huge lists, loading the values into a temp table or a VALUES join is the better approach.

Should numeric IDs be quoted or not?

Match the column type. Auto mode leaves the list unquoted only when every value is numeric, which suits integer ID columns. Quoting numbers used against a numeric column forces a type coercion that, in some databases, prevents the index from being used — and comparing unquoted numbers against a text column has the same problem in reverse.

JSON Array to SQL IN Statement

Turn a JSON array — or one key from an array of objects — into a SQL IN (…) list.

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CSV to JSON Converter

Turn CSV data into a JSON array of objects, with automatic type detection.

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CSV Column Extractor

Pick, reorder or drop CSV columns and export the slimmed-down file.

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