Now you can use directly xb.py with the same parameters as shown in this guide. Make sure you have properly set your environment as describe in the installation section. Xbench.sh just a shell wrapper around xb.py. Mode: detailed # "summary" will summary,csv, other value will load individual runs title: "Slicing experiment " annotation: "I am annotation " color_palette: "Set2 "Īll you need to do is to call report function after the main experiment code. See impl.yaml for details, comparing this with others Only this one is ready for S3 topologies now. server_version: "10.6-enterprise" # possible variants: 10.9, 10.6-enterprise.build: latest # possible variants: custom-NNN, cron-NNN, pull_request-NNNN, latest.branch: develop # possible any branch, builded on Drone.Points to 'latest' section in columnstore.yaml They all points to corresponding section in columnstore.yaml columnstore_hdd - three machines cluster with hdd storageĪny other topologies should be added manually to topo.yaml, having whis two as example.columnstore_s3 - three machines cluster with S3 storage.Xbench.sh run -cluster itest-aurora -topo itest_aurora -impl itest_aurora,only_driver -benchmark sysbench -workload itest -log-dir /tmp -artifact-dir /tmp -log-level INFOįor new we have two committed topologies in topo.yaml Use the -help option to view all arguments and their available forms. The following table provides a summary of the supported command-line arguments by command: Arguments provision - > workload - > deprovision - > report Report Plot latency-throughput curve for the workload Workload (w) Run benchmark against cluster ĭeprovision (d) Deprovision all instances in cluster It is also possible to run all three workflow at once using the run command. De-provision: tear down provisioned resources.Workload: run the benchmark (example: sysbench).examples: aws and 3 m5d.8xlarge instances) implementation strategy (which includes cloud and required resources.topology (example: driver-proxy-database).Provision: provision and configure required amount of resources in the requests cloud.Check others variables you might have set.remove section from ~/.aws/credentials.If you plan to use AWS based cluster and had aws cli utility configuration before please make use: Entry that is a full exact match (case sensitive) with the searched string.įor more information on the colors and icons in the search results view, please consult the Quick Reference Card.-rw-r-r- 1 user group 61 1 user group 6253 Apr 5 12:24 vault.yaml # Main secret storeĭrwxr-xr-x 9 user group 288 Feb 13 13:31 pem # PEM files to access remote machinesĭrwxr-xr-x 123 user group 3936 Apr 26 14:24 logsĭrwxr-xr-x 59 user group 1888 Apr 26 14:24 clusters # all your clustersĭrwxr-xr-x 5 user group 160 certs # SSL certificates Known issues Text searched is contained in a key term entry. Key term that is an exact match except for the case. Key term that is an exact match (case sensitive) with the searched string. green dot/star, etc), each symbol means something different when you search text. Regarding colors and icons in the search results view (e.g. TM match percentage is different from the colors and icons in the search results. In this way, you can filter your searches to find only text in a specific type of segments or QA only new segments for instance. If the segment is not present, it may be a new or fuzzy match. Studio or memoQ), if the segment may already be in the TM, then it would be a 100%, 101% or 102% match. That is, when translating in the CAT tool (e.g. New and fuzzy matches (0-99%) and 100% match refers to translation memory match percentage. Only New Segments will display only 0-99% matches, etc. If you add your files as ongoing translation and check only ongoing translation, Xbench will only display segments from those files but will exclude segments from the rest of files not defined as Ongoing Translation. Locked segments will not be taken into account in the QA check. ICE (In-Context Exact matches, that is 101% or 102% matches) will not be taken into account in the QA check. Regarding the rest of checks, issues will only be reported for 100%+ segments. Xbench will report Inconsistencies in Source and Inconsistencies in Target between 100%-102% segments and all the others (New, ICE and Locked). As for the rest of the checks (key term mismatches, etc.), Xbench will only look into new segments. Xbench will report Inconsistencies in Source and Inconsistencies in Target between new segments and ICE/Locked/100%+. Only new and fuzzy segments (0-99%) will be checked. When QAing your ongoing translation, segment filtering works as follows:
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