1
0
Fork 0
arangodb/ISSUE_TEMPLATE.md

50 lines
1.8 KiB
Markdown

## My Environment
* __ArangoDB Version__: <!-- e.g. 3.3.19 or self-compiled devel branch -->
* __Storage Engine__: <!-- MMFiles / RocksDB -->
* __Deployment Mode__: <!-- Single Server | Master/Slave | Active Failover | Cluster | DC2DC -->
* __Deployment Strategy__: <!-- Manual Start | Manual Start in Docker | ArangoDB Starter | ArangoDB Starter in Docker | Kubernetes | DCOS -->
* __Configuration__: <!-- cluster setup details, notable server settings, etc. -->
* __Infrastructure__: <!-- AWS | Azure | ... | own -->
* __Operating System__: <!-- Ubuntu 18.04 | Windows 10 | MacOS 10.13.4 | DCOS 1.10 | ... -->
* __Total RAM in your machine__: <!-- e.g. 32Gb. If more machines are in use, provide info for each of your machines -->
* __Disks in use__: <!-- SSD | HDD. If more machines are in use, provide info for each of your machines -->
* __Used Package__: <!-- Debian or Ubuntu .deb | SUSE or RedHat .rpm | Docker - official Docker library | other -->
## Component, Query & Data
__Affected feature__:
<!-- e.g. Installation | Foxx | AQL query using web interface | arangosh | with driver | ... -->
__AQL query (if applicable)__:
__AQL explain (if applicable)__:
<!-- output of db._explain("<my aql query>") -->
__Dataset__:
<!-- description, or if possible, please share an example dataset to reproduce the issue either as Gist with an arangodump, or an arangosh script with db.collection.save({my: "values"}) statements -->
__Size of your Dataset on disk__:
<!-- size of your dataset on disk-->
__Replication Factor & Number of Shards (Cluster only)__:
<!-- please list these settings for each collection in question -->
## Steps to reproduce
1.
2.
3.
__Problem__:
__Expected result__: