jsonANYjsonlndjsonstreaming
json
{"id":1,"event":"signup"}
{"id":2,"event":"login"}Unlike a standard JSON array, JSONL/NDJSON is line-oriented and stream-friendly.
JSONL and NDJSON
Newline-delimited JSON patterns for logs, streams, ETL, and large-file processing workflows.
Export
Copy the compact sheet, download it, or print it.
Download
`D` dense toggle · `C` copy all
JSONL basics
Each line is its own independent JSON value, usually an object.
bashANYjsonjsonljq
bash
jq -c '.[]' users.jsonThis is a common conversion when moving from API exports to pipeline-friendly input.
bashANYjsonjsonljq
bash
jq -s . data.jsonlUseful when a downstream system expects a standard array document.
Processing JSONL files
Practical command-line flows for large or streamed data.
bashANYjsonljqfilter
bash
jq -c 'select(.event == "signup")' events.jsonlBecause each line is a valid JSON object, jq can stream through them efficiently.
bashANYjsonljqextract
bash
jq -r '.email' users.jsonlGreat for quick exports and checks from structured log files.
bashANYjsonlwccount
bash
wc -l events.jsonlBecause JSONL uses one record per line, line count often equals record count.
More in JSON
JSON API Payload Patterns
Reusable JSON payload shapes for APIs: envelopes, pagination, errors, metadata, partial updates, and event-style messages.
JSON Schema Validation
Practical JSON Schema examples for required fields, types, enums, arrays, nested objects, and validation workflows.
JSON Formatting, Minifying, and Pretty-Printing
Commands and patterns for compact JSON, human-readable formatting, stable sorting, and terminal-friendly inspection.
JSON Validation and Common Errors
How to validate JSON, spot parse failures, repair common mistakes, and debug malformed payloads quickly.
JSON Escaping and Encoding
Escape sequences, Unicode, URLs, embedded JSON strings, and encoding pitfalls when storing or transporting JSON.
JSON Objects and Arrays
Patterns for nested objects, arrays, list items, nullability, and common data-shape decisions in JSON.