They rebased a revision we were previously relying upon that allowed us
to use the vanity name so we are reverting back to an older version with
the old import path.
URL=http://localhost:8086 go test -parallel 1 ./cmd/influxd/run
will run the tests over HTTP against localhost:8086. They currently
need to be run serially since they all write to the same DB.
This commit introduces a new interface type, influxql.Authorizer, that
is passed as part of a statement's execution context and determines
whether the context is permitted to access a given database. In the
future, the Authorizer interface may be expanded to other resources
besides databases. In this commit, the Authorizer interface is
specifically used to determine which databases are returned when
executing SHOW DATABASES.
When HTTP authentication is enabled, the existing meta.UserInfo struct
implements Authorizer, meaning admin users can SHOW every database, and
non-admin users can SHOW only databases for which they have read and/or
write permission.
When HTTP authentication is disabled, all databases are visible through
SHOW DATABASES.
This addresses a long-standing issue where Chronograf or Grafana would
be unable to list databases if the logged-in user did not have admin
privileges.
Fixes#4785.
The following types of queries will panic:
SELECT mean, host FROM (SELECT mean(value) FROM cpu GROUP BY host)
SELECT top(sum, host, 3) FROM (SELECT sum(value) FROM cpu GROUP BY host)
These queries _should_ work, but due to a current limitation with
aggregate functions, the aggregate functions won't return any auxiliary
fields. So even if a tag is not an auxiliary field, it is treated that
way by the query engine and this query will fail.
Fixing this properly will take a longer period of time. This fix just
prevents the panic from killing the server while we fix this for real.
The order of series keys is in ascending alphabetical order, not
descending alphabetical order, when it is ordered by descending time.
This fixes the ordering so points are returned in descending order. The
emitter also had the conditions for choosing which iterator to use in
the wrong direction (which only affects aggregates with `FILL(none)`).
When using `non_negative_derivative()` and `last()` in a math aggregate
with each other, the math would not be matched with each other because
one of those aggregates would emit one fewer point than the others. The
math iterators have been modified so they now track the name and tags of
a point and match based on those.
This isn't necessarily ideal and may come to bite us in the future. We
don't necessarily have a defined structure for all iterators so it can
be difficult to know which of two points is supposed to come first in
the ordering. This uses the common ordering that usually makes sense,
but the query engine is getting complicated enough where I am not 100%
certain that this is correct in all circumstances.
Fixes#7906
In an attempt to reduce the overhead of using regex for exact matches,
the query parser will replace `=~ /^thing$/` with `== 'thing'`, but the
conditions being checked would ignore if any flags were set on the
expression, so `=~ /(?i)^THING$/` was replaced with `== 'THING'`, which
will fail unless the case was already exact. This change ensures that no
flags have been changed from those defaulted by the parser.
Fixes#7906
In an attempt to reduce the overhead of using regex for exact matches,
the query parser will replace `=~ /^thing$/` with `== 'thing'`, but the
conditions being checked would ignore if any flags were set on the
expression, so `=~ /(?i)^THING$/` was replaced with `== 'THING'`, which
will fail unless the case was already exact. This change ensures that no
flags have been changed from those defaulted by the parser.
With the new shard mapper implementation, regexes were just ignored so
it attempted to look up the field type inside of a measurement with no
name (which cannot possibly exist) so it would think the field didn't
exist and map it as the unknown type.
With the new shard mapper implementation, regexes were just ignored so
it attempted to look up the field type inside of a measurement with no
name (which cannot possibly exist) so it would think the field didn't
exist and map it as the unknown type.
Previously, only time expressions got propagated inwards. The reason for
this was simple. If the outer query was going to filter to a specific
time range, then it would be unnecessary for the inner query to output
points within that time frame. It started as an optimization, but became
a feature because there was no reason to have the user repeat the same
time clause for the inner query as the outer query. So we allowed an
aggregate query with an interval to pass validation in the subquery if
the outer query had a time range. But `GROUP BY` clauses were not
propagated because that same logic didn't apply to them. It's not an
optimization there. So while grouping by a tag in the outer query
without grouping by it in the inner query was useless, there wasn't any
particular reason to care.
Then a bug was found where wildcards would propagate the dimensions
correctly, but the outer query containing a group by with the inner
query omitting it wouldn't correctly filter out the outer group by. We
could fix that filtering, but on further review, I had been seeing
people make that same mistake a lot. People seem to just believe that
the grouping should be propagated inwards. Instead of trying to fight
what the user wanted and explicitly erase groupings that weren't
propagated manually, we might as well just propagate them for the user
to make their lives easier. There is no useful situation where you would
want to group into buckets that can't physically exist so we might as
well do _something_ useful.
This will also now propagate time intervals to inner queries since the
same applies there. But, while the interval propagates, the following
query will not pass validation since it is still not possible to use a
grouping interval with a raw query (even if the inner query is an
aggregate):
SELECT * FROM (SELECT mean(value) FROM cpu) WHERE time > now() - 5m GROUP BY time(1m)
This also means wildcards will behave a bit differently. They will
retrieve dimensions from the sources in the inner query rather than just
using the dimensions in the group by.
Fixing top() and bottom() to return the correct auxiliary fields.
Unfortunately, we were not copying the buffer with the auxiliary fields
so those values would be overwritten by a later point.
Previously, only time expressions got propagated inwards. The reason for
this was simple. If the outer query was going to filter to a specific
time range, then it would be unnecessary for the inner query to output
points within that time frame. It started as an optimization, but became
a feature because there was no reason to have the user repeat the same
time clause for the inner query as the outer query. So we allowed an
aggregate query with an interval to pass validation in the subquery if
the outer query had a time range. But `GROUP BY` clauses were not
propagated because that same logic didn't apply to them. It's not an
optimization there. So while grouping by a tag in the outer query
without grouping by it in the inner query was useless, there wasn't any
particular reason to care.
Then a bug was found where wildcards would propagate the dimensions
correctly, but the outer query containing a group by with the inner
query omitting it wouldn't correctly filter out the outer group by. We
could fix that filtering, but on further review, I had been seeing
people make that same mistake a lot. People seem to just believe that
the grouping should be propagated inwards. Instead of trying to fight
what the user wanted and explicitly erase groupings that weren't
propagated manually, we might as well just propagate them for the user
to make their lives easier. There is no useful situation where you would
want to group into buckets that can't physically exist so we might as
well do _something_ useful.
This will also now propagate time intervals to inner queries since the
same applies there. But, while the interval propagates, the following
query will not pass validation since it is still not possible to use a
grouping interval with a raw query (even if the inner query is an
aggregate):
SELECT * FROM (SELECT mean(value) FROM cpu) WHERE time > now() - 5m GROUP BY time(1m)
This also means wildcards will behave a bit differently. They will
retrieve dimensions from the sources in the inner query rather than just
using the dimensions in the group by.
Fixing top() and bottom() to return the correct auxiliary fields.
Unfortunately, we were not copying the buffer with the auxiliary fields
so those values would be overwritten by a later point.
When an error that appears to be an SSL error happens without SSL
enabled, the client will attempt to reconnect with SSL just to see if
that works. If it works, it exits with an error message telling the user
to add `-ssl`. It will also do the same if the SSL connection is unsafe
although it will warn that this is insecure.
Jonathan A. Sternberg
Ben Johnson
Jason Wilder
Cory LaNou
Edd Robinson
Mark Rushakoff
Mark Rushakoff
Joe LeGasse
Paul Dix
gunnaraasen