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distributed-database

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cockroach
RaduBerinde
RaduBerinde commented Jul 30, 2020

Index constraint generation currently supports constraints from LIKE expressions, but the opt statistics code does not. A simple improvement would be to handle the case where the expression is exactly equivalent to a range of values.

Note that such a rule would need to handle escaping correctly (which the index constraints code currently does not, see #44123).

ClickHouse
yunchat
yunchat commented Nov 13, 2018

Now insert and query share the resource ( Max Process Count control) 。 When the query with high TPS,the insert will get error (“error: too many process”). I think separator the resource for Insert and Query will makes sense. Ensure enough resource for insert。It looks like Use Yarn, Insert and Query use the different resource quota。
Or the simple way , Can we set Ratio for Insert and

xumengpanda
xumengpanda commented May 18, 2020

The old restore supports adding prefix and suffix to the backup data. This allows us to restore a key space (say [a, b)) to a new key space (say [awesome_a, awesome_b).

This feature is useful in:

  • Performance testing: We do not want to throw away existing loaded data in the cluster because loading a huge DB takes time;
  • Cross-verification: Users may want to verify the restored data in the
JeanGolang
JeanGolang commented Feb 7, 2017

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-
yugabyte-db
buraksezer
buraksezer commented May 4, 2020

Currently, Stats command in the protocol and olric-stats tool only work on a cluster member. So if you run the following command:

olric-stats -a=cluster-member:port

It returns statistics for only one cluster member. This is not very useful most of the time. We need to aggregate all statistics.

-s/--summary would also be useful.

martint
martint commented Aug 6, 2020
SELECT custkey, sum(totalprice)
FROM orders
GROUP BY custkey
ORDER BY 2 DESC

EXPLAIN

                                      Query Plan
---------------------------------------------------------------------------------------
 Fragment 0 [SINGLE]
     Output layout: [custkey, sum]
     Output partitioning: SINGLE []
     Stage Execution Strategy: UNGROUPED_EXECUTION

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