This reverts commit 9aeae7ce82, reversing
changes made to 35b44cc2f0.
The contributor was unable to sign the contributor license agreement so
we have to revert this commit.
It inserted the changelog entry into version 1.0 because it couldn't
find any tags. Jenkins had been configured not to fetch any tags so the
changelog generator assumed this was the first version of the software.
Fetching tags is now enabled on Jenkins.
On the master or release branches, `git changelog` will be run to
automatically update the changelog based off of the pull requests that
have been merged and then it will commit and push those changes.
batchWrite was using the last database and retention policy read from
the input file. Because batchWrite was called only every batchSize lines
or at EOF, databases with fewer than batchWrite points could be imported
into the incorrect database.
This change forces a flush with batchWrite whenever processDML reads a
change in database or retention policy.
Remove some miscellaneous whitespace at the end of changelog entries and
fix two older entries. One accidentally included an inline html tag and
didn't display. The other was missing a newline between two changelog
entries and so didn't display correctly as separate bullet points.
* Live Restore + Enterprise data format compatability
* Extended ImportData to import all DB's if no db name given
* Added a new enterprise data test, and backup command now prints the backup file paths at conclusion
* Added whole-system backup test
* Update to use protobuf in all enterprise data cases
* Update to test to do cross-testing with enterprise version
* incremental enterprise backup format support
The string `node <n>` can be used to specify which data node the data
should be retrieved from. This uses the `node_id=X` query parameter that
is supported, but wasn't exposed anywhere in the client library.
We use this feature enough internally when attempting to find
inconsistencies or network errors that it is easier if this is just
supported. Otherwise, I continue having to recompile the CLI program
every time I need to do this.
To clear a previously set node, you can use `node 0` or `node clear`.
There is a strange race condition where a query can be killed and finish
at approximately the same time. If this happens, the query gets
retrieved by the killing task, the query gets closed by the normal
processing thread, and then the killing task attempts to kill the query
afterwards. Since the close doesn't mark the query as already killed
(since it's not killed, just merely unused), the killing thread attempts
to close the channel again.
Mark the query as killed whenever it is closed to prevent a double close
from happening. This should never cause the status to be erroneously
reported since the query status is removed from the query table within
the same lock scope.
When refactoring the query engine, I thought calling
`count(distinct(value))` multiple times was disallowed and so the
refactor made it so that wasn't possible.
It turns out that this pattern is allowed because since the distinct is
nested, it is aggregated anyway and can be combined with other
aggregates.
This removes the erroneously placed restriction.
This commit firstly ensures that a shard's size on disk is accurately
reported when using the tsi1 index, by including the on-disk size of the
tsi1 index in the calculation.
Secondly, this commit add support for shard streaming/copying when using
the tsi1 index. Prior to this, a tsi1 index would not be correctly
restored when streaming shards.
If the close happens when next is being called, it can result in a race
condition where the current iterator gets set to nil after the initial
check.
This also fixes the finalizer so it runs the close method in a goroutine
instead of running it by itself. This is because all finalizers run on
the same goroutine so a close that takes a long time can cause a backup
for all finalizers. This also removes the redundant call to
`runtime.SetFinalizer` from the finalizer itself because a finalizer,
when called, has already cleared itself.
Change the CLI to support quoted database names in `use` statements.
This also allows for all database names to be specified, including names
that contain spaces.
If we don't detect a server version, then there's a good chance that
we're not speaking to an InfluxDB server. We should warn the user about
this to make it easier for them to debug.
The previous sha was taken from a revision on a devel branch that I
thought would continue staying in the tree after it was merged. That
revision was rebased away and the API was changed for the logger.
This updates the usage of the logger and adds a simple package for
constructing the base logger.
The 1.0 version of zap changed the format of the default console logger
so this change moves over to this new logger instead of attempting to
retain backwards compatibility with the old format.
Update support in the `toml` package for parsing human-readble byte sizes.
Supported size suffixes are "k" or "K" for kibibytes, "m" or "M" for
mebibytes, and "g" or "G" for gibibytes. If a size suffix isn't specified
then bytes are assumed.
In the config, `cache-max-memory-size` and `cache-snapshot-memory-size` are
now typed as `toml.Size` and support the new syntax.
Windows computers may produce a utf16 file from the command line that
contains a byte-order-mark. Along with handling the utf8
byte-order-mark, this also handles the utf16 for better Windows
compatibility.
Fixes#8819.
Previously, the process of dropping expired shards according to the
retention policy duration, was managed by two independent goroutines in
the retention policy service. This behaviour was introduced in #2776,
at a time when there were both data and meta nodes in the OSS codebase.
The idea was that only the leader meta node would run the meta data
deletions in the first goroutine, and all other nodes would run the
local deletions in the second goroutine.
InfluxDB no longer operates in that way and so we ended up with two
independent goroutines that were carrying out an action that was really
dependent on each other.
If the second goroutine runs before the first then it may not see the
meta data changes indicating shards should be deleted and it won't
delete any shards locally. Shortly after this the first goroutine will
run and remove the meta data for the shard groups.
This results in a situation where it looks like the shards have gone,
but in fact they remain on disk (and importantly, their series within
the index) until the next time the second goroutine runs. By default
that's 30 minutes.
In the case where the shards to be removed would have removed the last
occurences of some series, then it's possible that if the database was already at its
maximum series limit (or tag limit for that matter), no further new series
can be inserted.
When a downstream server such as a proxy or loadbalancer between
influxdb and the client produces an error, the client currently does
not make this very obvious.
This change introduces checks on both the content type and the
influx version header to identify whether a request was served by
influxdb itself and returns a more appropriate error in the cases
where it can be determined a downstream issue is at play.
All of these services start up goroutines and then wait for the
goroutines to finish. Each of them has a `tsdb.PointBatcher` that may
return a point during the shutdown sequence. During the shutdown
sequence, a lock was held. This lock may get accessed when attempting to
write the point that came back from the `tsdb.PointBatcher`. This caused
the read lock attempt to wait forever for the write lock to be unlocked
during `Close()`.
This modifies these methods so that the write lock is released while
waiting for goroutines to finish in these three services.
If multiple tombstones exists for a series that ended up causing the
full data to be deleted, the blocks were not removed from the offsets
in the index. This causes the TSMReader to report that a key exist
but does not have any data.
During a compaction, every key should have at least one value. Since
this invariant was broken, the compaction aborted early and ends up
dropping all series keys that are lexigraphically greater than where
the breakage occured. This would cause data to be dropped during the
compaction.
This allows the query:
SELECT mean(value) FROM cpu GROUP BY time(1d)
To function in some way that makes sense. The upper limit is implicitly
the `now()` starting time and the lower limit will be whichever interval
the lowest point falls into.
When no lower bound is specified and `max-select-buckets` is specified,
the query will only consider points that would satisfy
`max-select-buckets`. So if you have one point written in 1970, have
another point within the last minute, and then do the above query with
`max-select-buckets` being equal to 10, the older point from 1970 will
not be considered.
This commit replaces the previous hashing algorithm used by the pkg.Filter with
one based on xxhash. Further, taking from the hashing literature, we can
represent k hashes with only two hash function, where previously Filter was using
four.
Further, unlike `murmur3`, `xxhash` is allocation-free, so allocations have
dramatically reduced when inserting and checking for hashes.
This more accurately shows whether or not a query has been killed.
Instead of automatically removing it from the query table when it's
killed even though goroutines and iterators may still be open, it now
marks the process as killed. This should allow us to more accurately
determine if a query has been stalled and is still using resources on
the server.
This is related to #8848, but not directly connected.
All time ranges are combined with AND regardless of context and
regardless of whether it makes any logical sense.
That was the previous behavior and, unfortunately, a lot of people rely
on it.
It prints the statistics of each iterator that will access the storage
engine. For each access of the storage engine, it will print the number
of shards that will potentially be accessed, the number of files that
may be accessed, the number of series that will be created, the number
of blocks, and the size of those blocks.
This is used quite a bit to determine which fields are needed in a
condition. When the condition gets large, the memory usage begins to
slow it down considerably and it doesn't take care of duplicates.
influx_inspect walks the data and wal directories building a list of
files to export. It then opens, reads, and exports each. If the file was
deleted between the time it was added to the list and the time the
inspect tool attempts to read it, the file is now skipped without
emitting an error.
Previously, subqueries would honor their own ordering. We never really
supported that and I have no idea if it would work since most parts in
the query engine assume that points are being delivered in only one
ordering.
Subqueries have now been modified so if a person tries to do different
ordering, they get an error when running the query. If they specify an
ordering in the top most query, that ordering gets propagated to all
subqueries.
Fixes#8699.
When merging streams of system iterators we don't use tags or time.
Instead we add series keys (in the case of, for example, `SHOW SERIES`)
to the `Aux` field of the iterators' elements. This is because we only
emit merged and sorted sets of series key to the client.
We currently use `SortedMergeHeap`s to merge together multiple
iterators, and the comparitor function did not consider `Aux` fields
when determining which heap to pop the next item off during a merge. As
such, `SHOW SERIES` and `SHOW TAG KEYS` (any meta query that gets
converted into a special type of `SELECT`) were returning results in
arbitrary order.
This issue was never noticed on the `inmem` index because the streams
are always duplicates of each other, and of course it doesn't matter if
you arbitrarily merge together two idential, sorted streams...
The issue first manifested itself on the `tsi1` index, but this fix will
apply to both indexes.
Other applications or services sometimes expose a header containing a
unique ID, which can then be included in logging or response information
to allow an operator to link inter-service requests. The most common
header name used by services in the wild appears to be `X-Request-ID`,
but `Request-Id` is also used.
This commit adds support for specifying either `X-Request-ID` or
`Request-Id` headers, which will then be used by InfluxDB when logging
request information, and also in the `X-Request-ID` and `Request-Id`
response headers.
We populate both `X-Request-ID` and `Request-Id` to maintain backwards
compatibility with previous version, and to support the more common
`X-Request-ID` header name.
If both `X-Request-ID` and `Request-Id` are specified, then
`X-Request-ID` is used.
If neither header is specified, then in line with previous behaviour, we
generate a v1 UUID.
If a large compaction was running and was aborted. It could would leave
some tmp files around for files that it had fully written. The current
active file was cleaned up, but already completed ones would not. This
would occur when a TSM file needed to rollover due to size.
The ConditionExpr function is more accurate because it parses the
condition and ensures that time conditions are actually used correctly.
That means that attempting to combine conditions with OR will not result
in the query silently pretending it's an AND and nested conditions work
correctly so there is only one way to read the query.
It also extracts the non-time conditions into a separate condition so we
can stop attempting to parse around the time conditions in lower layers
of the storage engine. This change does not remove those hacks, but a
following commit should be able to sanitize the condition and remove
them.
This commit provides more insight into server errors by both setting
the error on a response header, and, in the case of server errors (5xx),
logging those error messages to the HTTPD log, if [http] log_enabled =
true.
Previously pseudo iterators could be created for meta data such
as series, measurement, and tag data. These iterators were created
at a higher level and lacked a lot of the power of the query engine.
This commit moves system iterators down to the series level and
supports the following:
- _name
- _seriesKey
- _tagKey
- _tagValue
- _fieldKey
These can be used as normal fields such as:
SELECT _seriesKey FROM cpu
This will return all the series keys for `cpu`.
There was a change to speed up deleting and dropping measurements
that executed the deletes in parallel for all shards at once. #7015
When TSI was merged in #7618, the series keys passed into Shard.DeleteMeasurement
were removed and were expanded lower down. This causes memory to blow up
when a delete across many shards occurs as we now expand the set of series
keys N times instead of just once as before.
While running the deletes in parallel would be ideal, there have been a number
of optimizations in the delete path that make running deletes serially pretty
good. This change just limits the concurrency of the deletes which keeps memory
more stable.
When snapshots and compactions are disabled, the check to see if
the compaction should be aborted occurs in between writing to the
next TSM file. If a large compaction is running, it might take
a while for the file to be finished writing causing long delays.
This now interrupts compactions while iterating over the blocks to
write which allows them to abort immediately.
When a time zone shift happened at the edge of a time bucket, the logic
was incorrect. When we added an hour to the day with a time grouping of
2 hours, we took the hour away from the previous bucket instead of the
next bucket so the first bucket of the day would be from midnight to 1
AM and the second bucket would include 1 AM to 4 AM (2 AM to 3 AM does
not exist when shifting forwards). The correct buckets should have been
12 AM to 2 AM for the first bucket of the day and 3 AM to 4 AM for the
second (since 2 AM to 3 AM does not exist).
This also modifies the tests to use table tests and sub tests.
This calculates the start and end time along with any time zones shifts
so that continuous queries are run at the correct time when a time zone
is included in the query.
Removing the forced `Connection: close` header from the `/query`
endpoint. This was originally added because of golang/go#13165, but it
seems like it's possible to use pipelining with go 1.8 and http 1.1,
just not recommended.
After some testing, it appears that the channel returned by
`ResponseWriter.CloseNotify()` will not send a value if the connection
was not interrupted. We already account for this in /query by exiting
from the goroutine if the request has finished by signaling another
channel.
Since the handler already accounts for the possibility that the channel
will not signal and since `CloseNotify()` doesn't interfere with a
pipelined request, we can remove the forced `Connection: close` that was
added to force clients to establish a new connection.
The Go timestamp leads Truncate to start a week on Monday, but the query
engine uses unix timestamps which has the week start on a Thursday.
Updating the service so it uses a custom truncate method that uses the
unix timestamp instead of `time.Time`.
Fixes#8569.
The sortedSeriesIds slice was not getting reset to 0 which caused
the same series ids to exist in the slice more than once. Since
the size of the slice never matched the size of the seriesID map,
it kept appendending to the slice and sorting it which cause multiple
cursor to get created for the same series.
Fixes#8531
This adds a v3 format that is a gzip compressed version of the v2
format. It reduces the size of tombstone files substantially without
having to support a more feature rich file format for tombstones.
This commit adds a new environment variable INFLUXDB_PANIC_CRASH, which
when set to a truthy value, e.g., true, TRUE, 1, will prevent the server
from recovering from a panic.
Recover currently occurs in two places: the HTTP handler and the
QueryExecutor. INFLUXDB_PANIC_CRASH will control both.
Further, this commit adds _internal stats that will monitor the
occurrence of panics all the time (regardless of if INFLUXDB_PANIC_CRASH
has been set to true or not).
The recovered panic frequency can be inspected with the following
queries:
SELECT "recoveredPanics" FROM "_internal"."monitor"."httpd";
SELECT "recoveredPanics" FROM "_internal"."monitor"."queryExecutor";
Currently two write locks in `inmem` are obtained and then
manually unlocked at function exit points. However, we have
reports that the `inmem` index is hanging on a write lock and
cannot track the issue down to anything else besides a lock
that could have been left unlocked because of a panic.
This commit changes the two locks to always defer their unlocks
to prevent these hangs.
The new algorithm uses only one formula and needs no additional bias corrections for the entire range of cardinalities,
therefore, it is more efficient and simpler to implement. Our simulations show that the accuracy provided by the new
algorithm is as good as or better than the accuracy provided by either of HyperLogLog or HyperLogLog++. The sparse
representation was kept in to provide better low cardinality accuracy. However the linear counting and range estimations
are replaced.
This fixes the case where log files are compacted out of order
and cause non-contiguous sets of index files to be compacted.
Previously, the compaction planner would fetch a list of index files
for each level and compact them in order starting with the oldest
ones. This can be a problem for level 1 because level 0 (log files)
are compacted individually and in some cases a log file can finish
compacting before older log files are finished compacting. This
causes there to be a gap in the list of level 1 files that is
ignored when fetching a list of index files.
Now, the planner reads the list of index files starting from the
oldest but stops once it hits a log file. This prevents that gap
from being ignored.
* off by default, enabled by `query-stats-enabled`
* writes to cq_query measurement of configured monitor database
* see CHANGELOG for schema of individual points
This check was previously in a different section of code which
was lost during a refactor to the new compaction strategy. The
compaction planning now makes a check to ensure at least two
files are available for compaction in a level.
When a `SELECT ... INTO ...` is used with `top()` or `bottom()` used
with tags, the points will be written with the tags still intact instead
of converted to fields.
The previous version of `top()` and `bottom()` would gather all of the
points to use in a slice, filter them (if necessary), then use a
slightly modified heap sort to retrieve the top or bottom values.
This performed horrendously from the standpoint of memory. Since it
consumed so much memory and spent so much time in allocations (along
with sorting a potentially very large slice), this affected speed too.
These calls have now been modified so they keep the top or bottom points
in a min or max heap. For `top()`, a new point will read the minimum
value from the heap. If the new point is greater than the minimum point,
it will replace the minimum point and fix the heap with the new value.
If the new point is smaller, it discards that point. For `bottom()`, the
process is the opposite.
It will then sort the final result to ensure the correct ordering of the
selected points.
When `top()` or `bottom()` contain a tag to select, they have now been
modified so this query:
SELECT top(value, host, 2) FROM cpu
Essentially becomes this query:
SELECT top(value, 2), host FROM (
SELECT max(value) FROM cpu GROUP BY host
)
This should drastically increase the performance of all `top()` and
`bottom()` queries.
Writing points outside of a retention policy range were silently dropped. They
are dropped to prevent creating a shard that will be immediately deleted. These
dropped points were silent and did not return an error respone to the caller.
Fixes#8392
Currently, when debugging issues with InfluxDB we often ask for the
following profiles:
curl -o block.txt "http://localhost:8086/debug/pprof/block?debug=1"
curl -o goroutine.txt
"http://localhost:8086/debug/pprof/goroutine?debug=1"
curl -o heap.txt "http://localhost:8086/debug/pprof/heap?debug=1"
curl -o cpu.txt "http://localhost:8086/debug/pprof/profile
This can be bothersome for users, or even difficult if they're
unfamiliar with cURL (or it's not on their system).
This commit adds a new endpoint: /debug/pprof/all which will return a
single compressed archive of all of the above profiles. The CPU profile
is optional, and not returned by default. To include a CPU profile the
URL to request should be: /debug/pprof/all?cpu=true. It's also possible
to vary the length of the CPU profile by adding a `seconds=x` parameter,
where x defaults to 30, if absent.
The new command for gathering profiles from users should now be:
curl -o profiles.tar.gz "http://localhost:8086/debug/pprof/all"
Or, if we need to see a CPU profile:
curl -o profiles.tar.gz
"http://localhost:8086/debug/pprof/all?cpu=true"
It's important to remember that a CPU profile is a blocking operation
and by default it will take 30 seconds for the response to be returned
to the user.
Finally, if the user is unfamiliar with cURL, they will now be able to
visit http://localhost:8086/debug/pprof/all in a web browser, and the
archive will be downloaded to their machine.
After using `/debug/requests`, the client will wait for 30 seconds
(configurable by specifying `seconds=` in the query parameters) and the
HTTP handler will track every incoming query and write to the system.
After that time period has passed, it will output a JSON blob that looks
very similar to `/debug/vars` that shows every IP address and user
account (if authentication is used) that connected to the host during
that time.
In the future, we can add more metrics to track. This is an initial
start to aid with debugging machines that connect too often by looking
at a sample of time (like `/debug/pprof`).
Tombstone files would be written to all TSM files even if the deleted
keys or timerange did not exist in the TSM file. This had the side
effect of causing shards to get recompacted back to the same state. If
any shards or large numbers of TSM files existed, disk usage and CPU
utilization would spike causing issues.
This prevents tombstones being written for TSM files that could not
possiby contain the series keys being deleted or if the delted time
range is outside the range of the file.
This change refactors the subquery code into a separate builder class to
help allow for more reuse and make the functions smaller and easier to
read.
The previous function that handled most of the code was too big and
impossible to reason through.
This also goes and replaces the complicated logic of aggregates that had
a subquery source with the simpler IteratorMapper. I think the overhead
from the IteratorMapper will be more, but I also believe that the actual
code is simpler and more robust to produce more accurate answers. It
might be a future project to optimize that section of code, but I don't
have any actual numbers for the efficiency of one method and I believe
accuracy and code clarity may be more important at the moment since I am
otherwise incapable of reading my own code.
When LIMIT and OFFSET were used with any functions that were not handled
directly by the query engine (anything other than count, max, min, mean,
first, or last), the input to the function would be limited instead of
receiving the full stream of values it was supposed to receive.
This also fixes a bug that caused the server to hang when LIMIT and
OFFSET were used with a selector. When using a selector, the limit and
offset should be handled before the points go to the auxiliary iterator
to be split into different iterators. Limiting happened afterwards which
caused the auxiliary iterator to hang forever.
Hercules Mango Churchill
Pangaj J G
Gershon Shif
Gershon Shif
Jonathan A. Sternberg
Walter Wilfinger
Joe LeGasse
Patrick Hemmer
Mark Rushakoff
Jonathan A. Sternberg
Adam
hpbieker
Stuart Carnie
David Norton
Jason Wilder
Andrew Hare
Edd Robinson
Andrew Hare
Jason Wilder
wyc
Mark Rushakoff
e-wave
Ben Johnson
Luís Eduardo
Andrew Montgomery-Hurrell
Lyon Hill
liketic
Paul Dix
emluque
Ryan Betts
Connor Peet
xginn8
Adam
Seif Lotfy
marchtea