441 results found

1. mongotop improvements

   Hi. I want to suggest a couple of improvements for mongotop.

   • count output in a grid view. Now only time is supported. Could be implemented with a command line flag
   • limit the number of rows in a grid view with a command line flag (now 10 is hardcoded)
   • pretty print of JSON (by flag)
   • rename parameter rowcount to itercount
   • date pretty print, something more human-readable than ISO format
   • collect more granular stats from the top command. Now we only collect total and locks, * while we can insert, remove, update, etc.

   I could implement them if the improvements are considered ok.

   Hi. I want to suggest a couple of improvements for mongotop.

   • count output in a grid view. Now only time is supported. Could be implemented with a command line flag
   • limit the number of rows in a grid view with a command line flag (now 10 is hardcoded)
   • pretty print of JSON (by flag)
   • rename parameter rowcount to itercount
   • date pretty print, something more human-readable than ISO format
   • collect more granular stats from the top command. Now we only collect total and locks, * while we can insert, remove, update, etc.

   I could implement them if the improvements are considered… more

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2. multi region support for MongoDB Community Operator

   multi region support for MongoDB Community Operator

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3. More admin functionality for backup groom jobs

   Currently it is possible to start a groom job, however once the groom is started no additional functionality is available. It would be convenient if a groom could be paused/stopped, if required, on the admin panel.

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4. MongoDBUser new feature to retrieve user and password from a secret

   Hi! I hope you are doing well.

   We would like to have an option in the "MongoDBUser" Custom Resource to reference a Kubernetes secret with user and password instead of only "spec.passwordSecretKeyRef". For us, it's also important to save the user MongoDB in a secret as well and don't pass the user through commands(helm).

   Basically, we would like to perform the following steps:

   1. Create a secret in GCP Secret Manager with MongoDB's user/password.
   2. Recover the secret using the "External Secrets tool" running in Kubernetes.
   3. Refer only one secret with user/password in the "MongoDBUser" custom resources as we are doing currently for "spec.passwordSecretKeyRef"...
   4. The operator will use one secret to retrieve the user and the password.

   As we mentioned for security reasons we would like to have the user as a secret as well.

   Example:

   ---

   apiVersion: mongodb.com/v1
   kind: MongoDBUser
   metadata:
   name: example-database-user
   spec:
   secretKeyRef:
   name: mongodb-user-password-kubernetes-secret
   usernameKey: username
   passwordKey: password

   ---

   apiVersion: v1
   kind: Secret
   data:
   username: Y3VzdG9tZXIx
   password: Y3VzdG9tZXIx

   Hi! I hope you are doing well.

   We would like to have an option in the "MongoDBUser" Custom Resource to reference a Kubernetes secret with user and password instead of only "spec.passwordSecretKeyRef". For us, it's also important to save the user MongoDB in a secret as well and don't pass the user through commands(helm).

   Basically, we would like to perform the following steps:

   1. Create a secret in GCP Secret Manager with MongoDB's user/password.
   2. Recover the secret using the "External Secrets tool" running in Kubernetes.
   3. Refer only one secret with user/password in the "MongoDBUser" custom resources as we are doing currently… more
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5. Allow configuration of alerts (and setting customer alerts) via enterprise operator

   It would be nice to be able to configure an environments alerts directly from the Operator which will be deploying that environment.

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6. Do not trigger spurious COLLSCAN alerts for getmore commands during watch

   Here's what MongoDB support summarizes about the current behavior: "Upon consulting with the team, they have confirmed that sometimes change streams can trigger collection scans, but these alerts are an artifact of how we calculate the metric today. Unfortunately at the moment, there is no fix for these alerts"

   My suggestion is to fix how the metric is calculated. What is happening in the getmore is not a real COLLSCAN, and it should not be reported (and alerted) as such.

   (Bonus points for including context information in the COLLSCAN threshold alert showing the collection and operation. Just knowing there has been a COLLSCAN against N records is not all that actionable.)

   Here's what MongoDB support summarizes about the current behavior: "Upon consulting with the team, they have confirmed that sometimes change streams can trigger collection scans, but these alerts are an artifact of how we calculate the metric today. Unfortunately at the moment, there is no fix for these alerts"

   My suggestion is to fix how the metric is calculated. What is happening in the getmore is not a real COLLSCAN, and it should not be reported (and alerted) as such.

   (Bonus points for including context information in the COLLSCAN threshold alert showing the collection and operation. Just knowing there has… more

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7. Mongoimport CSV columnsHaveTypes to support ObjectID type

   Mongoimport supports a number of import types via the --columnsHaveTypes switch. It would be great if 'objectid' was added as a type.

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8. mongoimport: trap SIGUSR1 to flush buffer

   If mongoimport is run in the background as a daemon, the user doesn't have many good ways to manually flush the buffer from a scripting standpoint. By default mongoimport flushed data every 1000 documents.

   This feature as already requested at https://jira.mongodb.org/browse/TOOLS-2773 but was closed. I still have the hope that it will be introduced somewhere in future release.

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9. Support Cloudian S3 in OpsManager

   OpsManager currently supports the S3 implementations of AWS, IBM Cloud and Dell EMC Elastic Cloud Storage. We would like to use our existing Cloudian S3 storage. We've used it for a while now and it works, but we suggest making this an "officially supported" flavor, too.

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10. Release Cadence to allow pegging Minor Version Upgrades prior to GA of next Major Release

    Issue:
    Current requirement to enable 'auto upgrades' to test and take advantage of Minor version updates (Example: 6.x.x >> 6.y.x). As a larger company with a 2-4 week release cycle in our products, we have seen need to start testing a Minor version upgrade to the current Major GA Release (Recent example below).

    Scenario where this could be a problem in summary (See detailed real world story further down):
    - Customer sees a new feature they wish to try.
    - Customer is pegged to last major version upgrade (currently 6.0.x) to allow for pegging the version in production
    - Customer cannot allow for 'auto upgrades' in production due to internal Release Management requirements, and must wait the full year cycle for features added in later minor versions of the current major release.

    The Ask: We respectfully request a resolution to a state where we can choose to peg any of our clusters to a specific minor version (i.e. 6.1.x, or 6.2.x...) and allow only auto upgrades in the patch/bug release numbers rolled out by Atlas. Thank you for your time and response to this critical upgrade in scheduling & control over Minor version upgrades.

    More detailed summary of need for control over Minor Release Update Cycles/Scheduling:
    As we have our own release management requirements, any change to a Production environment must go through UAT and Performance testing and approval before the release. Currently, with requirement of enabling 'auto upgrades' to move up to available Minor Release, we are hamstrung until late in the Major release cycle to begin testing and releasing a minor version in lower environments to then implement in Production. this is due to our internal Release Management requirement to peg the MongoDB version and driver in Production to a fully tested release, and to have lower environments testing and validating on same IaaS release version as production. And pegging a version is only allowed at the Major version going to GA. We wish to ask that Minor versions be left to live for 12-15 months to allow for pegging a minor version upgrade during the year. This would allow our teams to implement a Minor version upgrade early... and peg to that version pending the annual GA release to come.

    Below I highlight the real world example that caught our team in a catch-22 with v5.0 not meeting requirements of our application in sharded configuration, requiring us to enable 'auto upgrades' to get to 5.1.x or later.

    Resulting Request:
    We would like the ability to peg our clusters to specific minor releases. Example: to 5.3.x where patch releases are acceptable, but minor version updates to 5.4.x are not allowed until we have tested and approve within same our own CICD pipeline and process.
    Allowing for 'auto upgrades' in our clusters based on Atlas rollout schedules poses unwarranted risk to the production assets of the End Users
    The ability to be alerted of available minor updates with option to choose when to begin our own test/release and schedule same is requested.

    Recent situation/scenario:
    With requirement for 'auto updates' we were in a catch-22 with 5.0.x And 5.3.x, where we needed the features of graph lookup with sharded configuration in production.
    - We are rapidly reaching critical resource issues in Production with a Primary/Replica configuration.
    - We must proceed with upgrade to Sharded configuration to 1) allow for horizontal scaling to relieve pressure on Primary nodes for Read Preference Primary for mission critical operations requiring high idempotency, and that do not allow for eventual consistency within the SLAs and 2) relieve pressure on Oplogs due to high throughput and rapid data changes during normal operations. We have operations that lead to a requirement on a primary/replica set to be now 1.2TB to prevent OpLog window from dropping below 12hrs. - With horizontal scaling, we can spread the load on read primary across multiple nodes, which will alleviate the need for such a large Oplog Size, leading to better management and availability of storage.
    Without the 5.3.2 upgrade and change in our current primary/replica >> sharded configuration. We could not proceed with the much needed upgrades without accepting release management risks associated with enabling 'auto upgrades'. Although the recent scenario is resolved as 6.0 is now GA, if this were earlier in the GA release cycle, we would either 1) be blocked from the above critical upgrades, or 2) Forced to accept the risks of an 'auto upgrade' being implemented in Production ahead of our NonProd clusters. Going against best practices for Release Management.

    Issue:
    Current requirement to enable 'auto upgrades' to test and take advantage of Minor version updates (Example: 6.x.x >> 6.y.x). As a larger company with a 2-4 week release cycle in our products, we have seen need to start testing a Minor version upgrade to the current Major GA Release (Recent example below).

    Scenario where this could be a problem in summary (See detailed real world story further down):
    - Customer sees a new feature they wish to try.
    - Customer is pegged to last major version upgrade (currently 6.0.x) to allow for pegging the version in production
    - Customer… more

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11. MongoDB Tools Apple Silicon native version

    6.0 now has a native release for Apple Silicon, but the tools are still compiled for x86_64. The https://github.com/mongodb/mongo-tools/blob/master/PLATFORMSUPPORT.md seems to point towards new platform support on internal systems like https://evergreen.mongodb.com/distros - can we get a native build of the tools ?

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12. Add cluster_id parameter in host detail API

    As per the link https://www.mongodb.com/docs/ops-manager/current/reference/api/measures/get-host-process-system-measurements/ and below API :

    curl --user "{PUBLIC-KEY}:{PRIVATE-KEY}" --digest
    --header "Accept: application/json"
    --include
    --request GET "https://{OPSMANAGER-HOST}:{PORT}/api/public/v1.0/groups/{PROJECT-ID}/hosts/{HOST-ID}/measurements?granularity={TIME-INCREMENT}&period={PERIOD}}&pretty=true"

    This will give us the details pertaining to one host and one project. However what if one host has multiple processes and part of multiple replica sets within same project in OPS Manager? Then it becomes difficult to gather gather data. Hence a clusterid parameter should also be added to distinguish details based on host pertaining to which cluster or replica set along with projectid which is already present.

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13. Export Reports and Graphs

    OPtions to export the reports and graphs into a PDF or office tool will help Incident Management process to a great extend.

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14. rename action for backup daemon "delete daemon" to "deactivate daemon"

    when you press link "delete daemon" on Admin->Backup->Daemons page it "deletes" daemon from this page, but after mongodb-mms.service gets restarted, this daemon comes up again. this link does not delete daemon - it actually deactivate backup daemon. another part for deactivation of daemon is to modify settings for service mongodb-mms to start only mms application without daemon.

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15. mongocli - changing server type

    There is a missing option to change server type via mongocli. You can list the server type for the project, but not change it.

    available option for list:
    mongocli om serverUsage projects hosts list --endDate 2020-01-01 --startDate 2021-01-01

    https://www.mongodb.com/docs/mongocli/v1.8/reference/ops-manager/server-usage-list-all-project-hosts/

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16. Ops Manager UI estimates backup time and restore

    Backups and restore estimation as UI feedback for regular and continuous backups

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17. Logging: attr.error field type conflicts

    Hey!

    We are using fluent-bit to push MongoDB logs to Elasticsearch. When there are already logs in the elastic index, where attr.error is an object, then it does not accept log lines in which this field is a string:

    “error”:{“type”:“mapperparsingexception”,“reason”:“object mapping for [attr.error] tried to parse field [error] as object, but found a concrete value”}

    There is log with string attr.error:

    {“t”:{"$date":“2022-05-13T15:16:31.203+00:00”},“s”:“I”, “c”:“CONNPOOL”, “id”:22572, “ctx”:“MirrorMaestro”,“msg”:“Dropping all pooled connections”,“attr”:{“hostAndPort”:“mongodb-1.mongodb-headless.mongodb.svc.cluster.local:27017”,“error”:“ShutdownInProgress: Pool for mongodb-1.mongodb-headless.mongodb.svc.cluster.local:27017 has expired.”}}

    There is log with object attr.error:

    {“t”:{"$date":“2022-05-13T15:20:56.857+00:00”},“s”:“I”, “c”:“REPL_HB”, “id”:23974, “ctx”:“ReplCoord-680”,“msg”:“Heartbeat failed after max retries”,“attr”:{“target”:“alerta-mongodb-arbiter-0.alerta-mongodb-arbiter-headless.monitoring. svc.cluster.local:27017”,“maxHeartbeatRetries”:2,“error”:{“code”:93,“codeName”:“InvalidReplicaSetConfig”,“errmsg”:“replica set IDs do not match, ours: 61ea35f29cfd494fef169571; remote node’s: 61eef8589d065c56e61d6e52”}}}
    bitnami/mongodb:4.4.12-debian-10-r18 docker image is used

    Could you direct CONNPOOL error message to attr.error.errmsg instead of attr.error (the same as REPL_HB error message)?

    I understand that I can make a filter in fluent-bit, but the root cause will remain a problem for other users using structured logging as well.
    I think many people have this problem, but not everyone could notice the absence of some logs.

    Hey!

    We are using fluent-bit to push MongoDB logs to Elasticsearch. When there are already logs in the elastic index, where attr.error is an object, then it does not accept log lines in which this field is a string:

    “error”:{“type”:“mapperparsingexception”,“reason”:“object mapping for [attr.error] tried to parse field [error] as object, but found a concrete value”}

    There is log with string attr.error:

    {“t”:{"$date":“2022-05-13T15:16:31.203+00:00”},“s”:“I”, “c”:“CONNPOOL”, “id”:22572, “ctx”:“MirrorMaestro”,“msg”:“Dropping all pooled connections”,“attr”:{“hostAndPort”:“mongodb-1.mongodb-headless.mongodb.svc.cluster.local:27017”,“error”:“ShutdownInProgress: Pool for mongodb-1.mongodb-headless.mongodb.svc.cluster.local:27017 has expired.”}}

    There is log with object attr.error:

    {“t”:{"$date":“2022-05-13T15:20:56.857+00:00”},“s”:“I”, “c”:“REPL_HB”, “id”:23974, “ctx”:“ReplCoord-680”,“msg”:“Heartbeat failed after max retries”,“attr”:{“target”:“alerta-mongodb-arbiter-0.alerta-mongodb-arbiter-headless.monitoring. svc.cluster.local:27017”,“maxHeartbeatRetries”:2,“error”:{“code”:93,“codeName”:“InvalidReplicaSetConfig”,“errmsg”:“replica set IDs do not match, ours: 61ea35f29cfd494fef169571; remote node’s: 61eef8589d065c56e61d6e52”}}}… more

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18. Ops Manager to be able to do archiving of Data to a different replica set than you Prod replica set.

    To be able to set up Archiving in Ops Manager so you would be able to keep a certain amount of data in Prod and move the rest of to an Archiving replica set.

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19. Sharding

    When we create a new collection with a shard key using mongosh the same is not reflected in cloud manager. In cloud manager / ops manager the shard key for the new collection is not seen in the shard tab.

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20. Include "Fetch Time" in Profiler timings

    When we run the Profiler, the runtime of "select" type queries are dramatically understated. This is because the Profiler only counts the time of the "query", and doesn't include how long it took to "fetch" the result set.

    In one of our test cases, we "tuned" the query so it only shows as running 82 ms in the Profiler. However, when we actually run this same query in JavaScript, the runtime is 10 seconds. This is a very slow query which our end users experience many times a day.

    Is there a way to configure Profiler to be more realistic, and include the "fetch time" as well as the "query" time?

    Currently, the Profiler seems to be of little us in finding slow queries. We have to find them using other means.

    Thank you.

    When we run the Profiler, the runtime of "select" type queries are dramatically understated. This is because the Profiler only counts the time of the "query", and doesn't include how long it took to "fetch" the result set.

    In one of our test cases, we "tuned" the query so it only shows as running 82 ms in the Profiler. However, when we actually run this same query in JavaScript, the runtime is 10 seconds. This is a very slow query which our end users experience many times a day.

    Is there a way to configure Profiler to be more realistic,… more

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