Very small but handy tool to export keys from redis to json by wildcards and load them back. Dead simple, no error processing, no warnings, no support for huge datasets (beware, dumping/loading 1GB of data will most likely consume way more ram that you are happy to allocate for that purpose)

redis_tools.py

import os
import sys
from redis import Redis
import argparse
import simplejson as json

import settings
redis_client = Redis(host=settings.REDIS_HOST, port=settings.REDIS_PORT,
                     db=settings.REDIS_DB)

PARSER = argparse.ArgumentParser(
    description='Dump/Load key-value data from redis by wildcard')

PARSER.add_argument('--wildcard',
                    dest="wildcards",
                    help="Wildcard for keys to dump",
                    action='append')

PARSER.add_argument('operation',
                    choices=['dump', 'load'],
                    help="dump or load")

PARSER.add_argument('filename', help="Filename")

ARGS = PARSER.parse_args()

if ARGS.operation == "dump":
    data = {}
    total_count = 0
    for w in ARGS.wildcards:
        for key in redis_client.keys(w):
            total_count += 1
            data[key] = redis_client.get(key)

    print("Got %s keys from redis. Saving to the file..." % total_count)
    with open(ARGS.filename, "w") as fp:
        json.dump(data, fp, indent="    ", sort_keys=True)
    print("Saving of %s is done" % ARGS.filename)

elif ARGS.operation == "load":
    with open(ARGS.filename, "r") as fp:
        data = json.load(fp)

    assert isinstance(data, dict)

    pipe = redis_client.pipeline()
    print("Got %s keys from file. Saving to redis..." % len(data.keys()))

    for k, v in data.iteritems():
        pipe.set(k, v)
    pipe.execute()

    print("Saved")

This only works for plain keys, not hashes, etc.

As I understand it, this will not retain TTL values.

You are both correct :)