feat(redis): exit with error for possible DB corruption

[MaineK00n]

What did you implement:

When the Insert update process was broken, these PRs(#164, #175) implemented log output and the removal of the definition ID that caused the error, thus avoiding the constant errors.

The bug in the Insert update process should have been fixed in this PR(#177).

This should be an error because the Redis relation may be broken.
I also think that Get is preferable to ReadOnly.

Fixes #210

Type of change

• New feature (non-breaking change which adds functionality)

How Has This Been Tested?

$ redis-cli -p 6379
127.0.0.1:6379> SMEMBERS OVAL#ubuntu#20#PKG#bird
1) "oval:com.ubuntu.focal:def:2019161590000000"
2) "oval:com.ubuntu.focal:def:2018120660000000"
127.0.0.1:6379> SADD OVAL#ubuntu#20#PKG#bird oval:com.ubuntu.focal:def:test
(integer) 1
127.0.0.1:6379> SMEMBERS OVAL#ubuntu#20#PKG#bird
1) "oval:com.ubuntu.focal:def:test"
2) "oval:com.ubuntu.focal:def:2019161590000000"
3) "oval:com.ubuntu.focal:def:2018120660000000"

$ goval-dictionary server --debug --dbtype redis --dbpath "redis://127.0.0.1:6379/0"
DBUG[03-17|17:30:31] Params                                   Family=ubuntu Release=20 Pack=bird DecodePack=bird arch=
EROR[03-17|17:30:31] Failed to get by Package Name.           err="Failed to HMGet. Redis relationship may be broken. err: Some fields do not exist. family: ubuntu, version: 20, defID: oval:com.ubuntu.focal:def:test"
{"time":"2022-03-17T17:30:31.90360012+09:00","id":"","remote_ip":"127.0.0.1","host":"127.0.0.1:1324","method":"GET","uri":"/packs/ubuntu/20/bird","user_agent":"curl/7.68.0","status":200,"error":"","latency":1561944,"latency_human":"1.561944ms","bytes_in":0,"bytes_out":5}

$ curl http://127.0.0.1:1324/packs/ubuntu/20/bird
null

Checklist:

You don't have to satisfy all of the following.

• Write tests
• Write documentation
• Check that there aren't other open pull requests for the same issue/feature
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Is this ready for review?: YES

Reference

[kotakanbe]

Check the operation of the refresh process with the Redis backend for a while before merging.