How can we umarshal a Big JSON effectively?

This page summarizes the projects mentioned and recommended in the original post on /r/golang

InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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  • GJSON

    Get JSON values quickly - JSON parser for Go

  • Do you want to look at every field all at the same time? If not, you can pick out individual fields. There's other packages such as https://github.com/tidwall/gjson or https://github.com/json-iterator/go that let you pass in paths such as "a.b.c" to extract single fields.

  • jsoniter

    A high-performance 100% compatible drop-in replacement of "encoding/json" (by json-iterator)

  • Do you want to look at every field all at the same time? If not, you can pick out individual fields. There's other packages such as https://github.com/tidwall/gjson or https://github.com/json-iterator/go that let you pass in paths such as "a.b.c" to extract single fields.

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

    InfluxDB logo
  • msgpack

    msgpack.org[Go] MessagePack encoding for Golang (by vmihailenco)

  • cbor

    CBOR codec (RFC 8949) with CBOR tags, Go struct tags (toarray, keyasint, omitempty), float64/32/16, big.Int, and fuzz tested billions of execs.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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