Different gateway implementations due to different backend
API errors, might return different unsupported errors at
our handler layer. Current code posed a problem for us because
this information was lost and we would convert it to InternalError
in this situation all S3 clients end up retrying the request.
To avoid this unexpected situation implement a way to support
this cleanly such that the underlying information is not lost
which is returned by gateway.
Bucket metadata healing in the current code was executed multiple
times each time for a given set. Bucket metadata just like
objects are hashed in accordance with its name on any given set,
to allow hashing to play a role we should let the top level
code decide where to navigate.
Current code also had 3 bucket metadata files hardcoded, whereas
we should make it generic by listing and navigating the .minio.sys
to heal such objects.
We also had another bug where due to isObjectDangling changes
without pre-existing bucket metadata files, we were erroneously
reporting it as grey/corrupted objects.
This PR fixes all of the above items.
This PR also adds some comments and simplifies
the code. Primary handling is done to ensure
that we make sure to honor cached buffer.
Added unit tests as well
Fixes#7141
- Staging buffer is flushed every 500ms. In cases where the result
records are slowly generated (e.g. when a where condition
matches very few records), this change causes the server to send
results even though the staging buffer is not full.
- Refactor messageWriter code to use simpler channel based
co-ordination instead of atomic variables.
foo.CORRUPTED should never be created because when
multiple sets are involved we would hash the file
to wrong a location, this PR removes the code.
But allows DeleteBucket() to work properly to delete
dangling buckets/objects. Also adds another option
to Healing where a user needs to specify `--remove`
such that all dangling objects will be deleted with
user confirmation.
This change adds support for casting strings to Timestamp via CAST:
`CAST('2010T' AS TIMESTAMP)`
It also implements the following date-time functions:
- UTCNOW()
- DATE_ADD()
- DATE_DIFF()
- EXTRACT()
For values passed to these functions, date-types are automatically
inferred.
ListObjectParts is using xl.readXLMetaParts which picks the first
xl meta found in any disk, which is an inconsistent information.
E.g.: In a middle of a multipart upload, one node can go offline
and get back later with an outdated multipart information.
This commit fixes the computation of Before/After healing state
for empty directories.
Issues before the commit:
- Before state doesn't reflect the real status (no StatVol() called)
- For any MakeVol() error, healObjectDir is exited directly, which is
wrong.
Currently during a heal of a bucket, if one disk is offline an empty endpoint entry is added.
Then another entry with the missing endpoint is also added.
This results in more entries than disks being added.
Code that adds empty endpoint has been removed.
Collect historic cpu and mem stats. Also, use actual values
instead of formatted strings while returning to the client. The string
formatting prevents values from being processed by the server or
by the client without parsing it.
This change will allow the values to be processed (eg.
compute rolling-average over the lifetime of the minio server)
and offloads the formatting to the client.
We made a change previously in #7111 which moved support
for AWS envs only for AWS S3 endpoint. Some users requested
that this be added back to Non-AWS endpoints as well as
they require separate credentials for backend authentication
from security point of view.
More than one client can't use the same clientID for MQTT connection.
This causes problem in distributed deployments where config is shared
across nodes, as each Minio instance tries to connect to MQTT using the
same clientID.
This commit removes the clientID field in config, and allows
MQTT client to create random clientID for each node.
Batching records into a single SQL Select message in the response
leads to significant speed up as the message header overhead is made
negligible.
This change leads to a speed up of 3-5x for queries that select many
small records.
- New parser written from scratch, allows easier and complete parsing
of the full S3 Select SQL syntax. Parser definition is directly
provided by the AST defined for the SQL grammar.
- Bring support to parse and interpret SQL involving JSON path
expressions; evaluation of JSON path expressions will be
subsequently added.
- Bring automatic type inference and conversion for untyped
values (e.g. CSV data).
Minio Trusted
Aditya Manthramurthy
Krishna Srinivas
Harshavardhana
Nitish Tiwari
John Liu
Prashant Shahi
poornas
Sidhartha Mani
Adam
ebozduman
Praveen raj Mani
kannappanr
Anis Elleuch