Export Redshift table to JSON Lines (JSONL / NDJSON / LDJSON)

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Want to export data from Redshift table to JSON lines (JSONL / NDJSON / LDJSON)?

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JSON Lines text format (JSONL), also called Newline-delimited JSON (NDJSON), or Line-delimited JSON (LDJSON). JSON Lines files may be saved with the file extension .jsonl, *.ndjson, *.ldjson.

Export data from Redshift table to JSON lines (JSONL / NDJSON / LDJSON)

Login to Redshift -> Choose Redshift table -> Set JSON lines file options -> Export Redshift to JSON lines (JSONL / NDJSON / LDJSON)

Choose Redshift and logon.

export Redshift table to JSONL file - Choose Redshift and logon

“Export From Table” for “Redshift to JSON lines (JSONL / NDJSON / LDJSON)”.

Export data from Redshift Table To JSON lines (JSONL / NDJSON / LDJSON) - task window

Select JSON file type.

Export data from Redshift Table To JSON lines (JSONL / NDJSON / LDJSON) - select JSON file type

1. Choose Redshift table.

Unload data from Redshift Table To JSON lines (JSONL / NDJSON / LDJSON) - select table

2. Set JSON lines (JSONL / NDJSON / LDJSON) file options.

Extract data from Redshift Table To JSON lines (JSONL / NDJSON / LDJSON) - enter file name

3. Set rows options.

Convert data from Redshift Table To JSON lines (JSONL / NDJSON / LDJSON) - summary

4. Export Redshift data to JSON lines (JSONL / NDJSON / LDJSON) table.

Dump data from Redshift Table To JSON lines (JSONL / NDJSON / LDJSON) - export

After exporting, you can view output JSON lines (JSONL / NDJSON / LDJSON) file.

Export data from Redshift Table To JSON lines (JSONL / NDJSON / LDJSON) - view JSON lines file


More tools for JSONL / NDJSON / LDJSON.

Redshift → JSON Lines reference

Type mapping

Value kindin Redshiftin JSON Lines
Intinteger1234 (number)
Bigintbigint9007199254740993
Decimalnumeric(p,s)1234.56 (number)
Floatdouble precision1.234e10 (number)
Textvarchar(n)"text" (string)
Long textvarchar(max)"multi-line\ntext"
Datedate"2026-09-18" (string)
Datetimetimestamp"2026-09-18T14:30:00Z" (string)
Binary(none)"base64:..." (string)
Booleanbooleantrue / false (boolean)
JSONsupernested object on the same line

Dialect differences

Redshift is a database server and JSON Lines is a file format, so the gap is wider than a dialect difference - the rows below are where values and structure stop lining up.

Propertyin Redshiftin JSON Lines
port5439—
identifiers"double quotes"Double quotes; backslash escapes (a newline inside a string...
row limitLIMIT n—
datestimestamp, dateNo date type: dates arrive as strings
long textVARCHAR(MAX)—
binary—Not supported natively - base64 inside a string
separator—Newline between records
encoding—UTF-8 by definition
typing—Same as JSON, but records cannot nest across lines
shapeTables of rows and columnsFlat stream
ceiling—Streams, so it scales past what a single JSON document can ...

Command line

SideCommand
RedshiftUNLOAD to S3
Redshift (load)COPY from S3

No counterpart

  • JSON Lines has no equivalent for Binary - it has to be flattened or dropped.

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