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@ -3,10 +3,10 @@ |
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![alt text](screenshot.png "Logo Title Text 1") |
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* a set of tools to export your personal WSJT-X |
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* live reception data into prometheus or mysql |
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* historical reception data (since 2019) into mysql |
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* live reception data into prometheus or mysql |
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* historical reception data (since 2019) into mysql |
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* a tool to poll pskreporter and export your personal |
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* live transmission data to prometheus or mysql |
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* live transmission data to prometheus or mysql |
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every time your wsjtx is/was running you are/were generating nice data points, which can be queried using grafana. |
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this can be very interesting to evaluate your **personal** hf conditions from the current and the past. |
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@ -35,17 +35,17 @@ have fun! |
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## tooling overview |
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* **pskreporter-exporter** |
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* polls pskreporter.info for your callsign |
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* supports prometheus and mysql |
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* polls pskreporter.info for your callsign |
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* supports prometheus and mysql |
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* **wsjtx-exporter** |
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* follows live traffice in ALL.txt |
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* supports prometheus and mysql |
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* follows live traffice in ALL.txt |
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* supports prometheus and mysql |
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* **alltxt2csv** |
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* reads whole ALL.txt since 2019 and creates csv-file which can be imported into mysql |
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* reads whole ALL.txt since 2019 and creates csv-file which can be imported into mysql |
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* **misc** |
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* sample dashboards |
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* shell script to hop between bands via rigctl to allow fractional monitoring of multiple bands |
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* ready to launch docker-compose setup based on https://github.com/stefanprodan/dockprom |
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* sample dashboards |
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* shell script to hop between bands via rigctl to allow fractional monitoring of multiple bands |
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* ready to launch docker-compose setup based on https://github.com/stefanprodan/dockprom |
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## things you should be aware of.. |
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@ -53,21 +53,27 @@ have fun! |
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show pro/con overview: |
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**prometheus:** |
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* + you get nicer graphs with counters and bars if you ask me |
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* + you can use alertmanager if you want advanced alerting |
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* + optimized for timeseries data |
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* - not designed for keeping long timeseries (weeks or some months are fine) |
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* - not possible to import historical data |
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* - not as flexible as mysql regarding complex queries |
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**mysql**: |
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* + you can import your ALL.txt since 2019 |
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* + you can store a lot of data over a long timeframe |
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* + you can propably build more complex queries in sql |
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* - in comparison to prometheus not optimized for timeseries, but still good enough |
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* - gauge based graphs are not as nice as counter/bars if you ask me |
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* - you can use *only* graphanas internal alerting |
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### prometheus |
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pro |
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* you get nicer graphs with counters and bars if you ask me |
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* you can use alertmanager if you want advanced alerting |
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* optimized for timeseries data |
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con |
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* not designed for keeping long timeseries (weeks or some months are fine) |
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* not possible to import historical data |
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* not as flexible as mysql regarding complex queries |
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### mysql |
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pro: |
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* you can import your ALL.txt since 2019 |
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* you can store a lot of data over a long timeframe |
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* you can propably build more complex queries in sql |
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con: |
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* in comparison to prometheus not optimized for timeseries, but still good enough |
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* gauge based graphs are not as nice as counter/bars if you ask me |
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* you can use *only* graphanas internal alerting |
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both allow distributed setups with multiple wsjtx instances submitting their data to a central prometheus or mysql service. |
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you can as well run both in parallel and use prometheus for a live overview and mysql for historical evaluations. |
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@ -110,7 +116,7 @@ choose a bigger interval |
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### how long does it take to import my data into mysql? |
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* my ALL.TXT (new format start july 2019) contains ~ 13.7 mio lines and has ~ 850M |
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* converting to csv takes ~ 14min on i7-4750HQ (2015) and the result has ~ 1.2G |
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* converting to csv takes ~ 12min on i7-4750HQ (2015) and the result has ~ 1.2G |
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* currently this is done using another module which uses regular expressions which is not optimial for this use case |
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* importing the csv to mysql takes ~ 3.5min |
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* querying the whole time (~ 1.5 years) in grafana takes some seconds |
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