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Complain more about influxdb

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This commit is contained in:
Tanner Collin 2023-04-14 22:06:26 -06:00
parent 3add7982f7
commit 3e2f323abb
2 changed files with 7 additions and 5 deletions
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8
content/.obsidian/workspace.json vendored
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@ -25,7 +25,7 @@
"state": { "state": {
"type": "markdown", "type": "markdown",
"state": { "state": {
"file": "About.md", "file": "Sensors.md",
"mode": "source", "mode": "source",
"source": false "source": false
} }
@ -90,7 +90,7 @@
"state": { "state": {
"type": "backlink", "type": "backlink",
"state": { "state": {
"file": "About.md", "file": "Sensors.md",
"collapseAll": false, "collapseAll": false,
"extraContext": false, "extraContext": false,
"sortOrder": "alphabetical", "sortOrder": "alphabetical",
@ -107,7 +107,7 @@
"state": { "state": {
"type": "outline", "type": "outline",
"state": { "state": {
"file": "About.md" "file": "Sensors.md"
} }
} }
} }
@ -129,6 +129,7 @@
}, },
"active": "1f1f024283ea8110", "active": "1f1f024283ea8110",
"lastOpenFiles": [ "lastOpenFiles": [
"About.md",
"ChatGPT Peanut Butter Cookies.md", "ChatGPT Peanut Butter Cookies.md",
"Bypassing Ports.md", "Bypassing Ports.md",
"media/cookies3.jpg", "media/cookies3.jpg",
@ -141,7 +142,6 @@
"Fake Dog.md", "Fake Dog.md",
"Things I Recommend.md", "Things I Recommend.md",
"Backup Strategy.md", "Backup Strategy.md",
"About.md",
"Hydroponics.md", "Hydroponics.md",
"Hydroponics Aphid War.md", "Hydroponics Aphid War.md",
"Hand of Ozymandias.md", "Hand of Ozymandias.md",

4
content/Sensors.md
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@ -60,4 +60,6 @@ Most of the data is captured by two cheap RTL-SDRs (software-defined radios) tha
The data gets collected by a central Python script that process and stores it in an InfluxDB database for "efficient" storage. The script also runs a web server that queries the database and exposes the data over an API to the dashboard at various dates and ranges. The dashboard is written in JavaScript / React using a simple chart library. The data gets collected by a central Python script that process and stores it in an InfluxDB database for "efficient" storage. The script also runs a web server that queries the database and exposes the data over an API to the dashboard at various dates and ranges. The dashboard is written in JavaScript / React using a simple chart library.
My biggest regret was using InfluxDB. It's a stupid database and I wouldn't recommend it to anyone. The documentation is confusing and I ran into timezone issues with `group by time()`. It also assumes the column data type is an integer if your sensor happens to send it a whole number at first and it won't let you change that. Just stick to Postgres / SQLite. My biggest regret was using InfluxDB. It's a stupid database and I wouldn't recommend it to anyone. The documentation is confusing and I ran into timezone issues with `group by time()`. It also assumes the column data type is an integer if your sensor happens to send it a whole number at first and it won't let you change that. Their docs are bad. They dropped the SQL-like InfluxQL syntax for querying with a pipeline-like syntax called Flux in version 2.0. Debian's repos seem to be staying with version 1.x though.
Just stick to Postgres / SQLite.