How to compress and decompress data in JSON?

To compress and decompress data in JSON, you can utilize various techniques and libraries depending on your programming environment. One common method involves converting the JSON data into a byte stream and then applying compression algorithms like GZIP or DEFLATE.

Compression:

1. Serialization: Convert the JSON object into a string.
2. Encoding: Transform the string into a byte array.
3. Compression: Apply a compression algorithm to the byte array.

Decompression:

1. Decompression: Apply the inverse of the compression algorithm to the compressed byte array.
2. Decoding: Convert the byte array back into a string.
3. Deserialization: Parse the string back into a JSON object.

Example in Python:

import json
import gzip

# Sample JSON data
data = {"name": "John", "age": 30, "city": "New York"}

# Serialize and compress
json_str = json.dumps(data)
compressed_data = gzip.compress(json_str.encode('utf-8'))

# Decompress and deserialize
decompressed_data = gzip.decompress(compressed_data).decode('utf-8')
data_restored = json.loads(decompressed_data)

print(data_restored)  # Output: {'name': 'John', 'age': 30, 'city': 'New York'}

For handling large-scale data or integrating with cloud services, you might consider using cloud-based solutions. For instance, Tencent Cloud offers services like Object Storage (COS) which can handle data compression and decompression as part of its storage and retrieval processes, optimizing storage usage and data transfer efficiency.