streaming

You can process huge JSON files efficiently by using jq's streaming mode to produce incremental path/value events, preventing memory overload. This approach allows agents to summarize data through incremental reductions without materializing entire documents.

Parsing a continuous stream of JSON texts is best handled using jq's --seq and --stream options to generate incremental path-based events. This method supports long-running pipelines by processing sequenced inputs and capturing streaming errors efficiently.

jq streaming mode handles incremental data processing by breaking large JSON inputs into path/value pairs using the --stream flag. You can then apply reduce and foreach operations to summarize data or use tostream and fromstream to reconstruct values incrementally.

Yes, you need the jq CLI installed because the streaming skill relies on jq's native --stream, --seq, and --stream-errors options. The processing logic executes through a Bash wrapper script that pipes input directly to jq.

Yes, you can reconstruct partial JSON structures from an incremental stream by utilizing jq's truncate_stream and fromstream functions. These functions allow you to manipulate and rebuild specific values from streamed path events without loading the full document.

Whole-document jq filters fail on large JSON inputs because they attempt to load the entire file into memory at once. Switching to jq's streaming mode produces path-based events for incremental processing, resolving memory limitations during log processing or real-time analytics.