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

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

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

Choose Azure and logon.

export Azure table to JSONL file - Choose Azure and logon

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

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

Select JSON file type.

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

1. Choose Azure table.

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

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

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

3. Set rows options.

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

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

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

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

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


More tools for JSONL / NDJSON / LDJSON.

Azure SQL → JSON Lines reference

Type mapping

Value kindin Azure SQLin JSON Lines
Intint1234 (number)
Bigintbigint9007199254740993
Decimaldecimal(p,s)1234.56 (number)
Floatfloat1.234e10 (number)
Textnvarchar(n)"text" (string)
Long textnvarchar(max)"multi-line\ntext"
Datedate"2026-09-18" (string)
Datetimedatetime2"2026-09-18T14:30:00Z" (string)
Binaryvarbinary(max)"base64:..." (string)
Booleanbittrue / false (boolean)
JSONnvarchar(max)nested object on the same line

Dialect differences

Azure SQL 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 Azure SQLin JSON Lines
port1433—
identifiers[square brackets]Double quotes; backslash escapes (a newline inside a string...
row limitSELECT TOP n—
datesdatetime2, date, timeNo date type: dates arrive as strings
long textnvarchar(max)—
binaryvarbinary(max)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
Azure SQLbcp
Azure SQL (load)bcp, or BULK INSERT

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