distributed-database

Describe the solution you'd like
Ability to export to Apache Parquet format.

EXPORT INTO PARQUET
  'azure://acme-co/customer-export-data?AZURE_ACCOUNT_KEY=hash&AZURE_ACCOUNT_NAME=acme-co'
   FROM TABLE bank.customers;

Describe alternatives you've considered
Using CSV format

Additional context
Parquet stores the file sc

Our CMake build process produces tarball packages using the cpack TGZ target. This produces a server and client package with a file layout meant to match where the various artifacts go.

Meanwhile, the packages we include on the download page are a flat archive of various binaries produced by the build process. This include one regular package and one debug package with debug symbols for a few

Hello Philip!
I think there is an issue with this part of the code of rqlite (store/store.go).

func (s *Store) Database(leader bool) ([]byte, error) {
	if leader && s.raft.State() != raft.Leader {
		return nil, ErrNotLeader
	}
	// Ensure only one snapshot can take place at once, and block all queries.
	s.mu.Lock()
	defer s.mu.Unlock()

	f, err := ioutil.TempFile("", "rqlilte-snap-

ysqlsh history file can be specified by --variable=HISTFILE=/path/to/file. It seems that the default amount of entries (or lines) it keeps is 500. Once it goes past that, upon history file write, it truncates the file. However, it also truncates the header line _HiStOrY_V2_. This makes the file invalid next time it's read. This is possibly related to YB using libedit rather than libreadli

Use case:

1.) A user may want to backup all tables but no metadata like users, privileges, etc. without explicitly defining each table inside the CREATE SNAPSHOT statement.

2.) A user may want to transfer users & privileges, custom analyzers or user-defined-functions from one cluster to another without backing up a complete cluster including all data (tables).

*Feature description

Currently we don't have any mechanism to limit the maximum number of clients that could be handled simultaneously.

This feature should be designed properly. Here is some clue: https://redis.io/topics/clients#maximum-number-of-clients

Now that we support more than 1 data type, we should include the values data type in cache nodes. This give us a way of easily identifying what type of data a key points to e.g. string, queue (and more types in the future)

Currently a cache node object consists of a Key, a Value and a TTL. We should also add a field specifying the type of the Value