问 将json压缩为存储在基于内存的存储(如redis或memcache )中，哪种方法是最好的？

我们只是使用 gzip 作为一个压缩器。

import gzip
import cStringIO
def decompressStringToFile(value, outputFile):
  decompress the given string value (which must be valid compressed gzip
  data) and write the result in the given open file.
  stream = cStringIO.StringIO(value)
  decompressor = gzip.GzipFile(fileobj=stream, mode='r')
  while True:  # until EOF
    chunk = decompressor.read(8192)
    if not chunk:
      decompressor.close()
      outputFile.close()
      return 
    outputFile.write(chunk)
def compressFileToString(inputFile):
  read the given open file, compress the data and return it as string.
  stream = cStringIO.StringIO()
  compressor = gzip.GzipFile(fileobj=stream, mode='w')
  while True:  # until EOF
    chunk = inputFile.read(8192)
    if not chunk:  # EOF?
      compressor.close()
      return stream.getvalue()
    compressor.write(chunk)

在我们的用例中，我们将结果存储为文件，正如您可以想象的那样。要只使用内存中的字符串，也可以使用 cStringIO.StringIO() 对象作为文件的替代。

基于上面@Alfe的 answer ，这里有一个版本，它将内容保存在内存中(用于网络I/O任务)。我还做了一些更改以支持Python3。

import gzip
from io import StringIO, BytesIO
def decompressBytesToString(inputBytes):
  decompress the given byte array (which must be valid 
  compressed gzip data) and return the decoded text (utf-8).
  bio = BytesIO()
  stream = BytesIO(inputBytes)
  decompressor = gzip.GzipFile(fileobj=stream, mode='r')
  while True:  # until EOF
    chunk = decompressor.read(8192)
    if not chunk:
      decompressor.close()
      bio.seek(0)
      return bio.read().decode("utf-8")
    bio.write(chunk)
  return None
def compressStringToBytes(inputString):
  read the given string, encode it in utf-8,
  compress the data and return it as a byte array.
  bio = BytesIO()
  bio.write(inputString.encode("utf-8"))
  bio.seek(0)
  stream = BytesIO()
  compressor = gzip.GzipFile(fileobj=stream, mode='w')
  while True:  # until EOF
    chunk = bio.read(8192)
    if not chunk:  # EOF?