Ivan Nieto ivannieto

SHOW TAG VALUES EXACT CARDINALITY WITH KEY = "index";
SHOW SERIES CARDINALITY group by "measurement"; → Important useful one.
influxdata/influxdb#8636 → Good examples are here
influx_inspect report -detailed /var/lib/influxdb/data/envoy/autogen/903 The best way to ficure out high cardinality series.
figure out series in each database use _internal ; select * from "database" where time > now() - 900s limit 10; Faced this error ERR: cannot delete data. DB contains shards using both inmem and tsi1 indexes. Please convert all shards to use the same index type to delete data.

find /var/lib/influxdb -type d -name index | while read index; do rm -Rf "$index" ; done
influx_inspect buildtsi -database envoy -datadir /var/lib/influxdb/data/ -waldir /var/lib/influxdb/wal

Add NVIDIA package repositories

wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/cuda-repo-ubuntu1804_10.0.130-1_amd64.deb
sudo dpkg -i cuda-repo-ubuntu1804_10.0.130-1_amd64.deb
sudo apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/7fa2af80.pub
sudo apt-get update
wget http://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64/nvidia-machine-learning-repo-ubuntu1804_1.0.0-1_amd64.deb
sudo apt install ./nvidia-machine-learning-repo-ubuntu1804_1.0.0-1_amd64.deb
sudo apt-get update

Setting up a MSI laptop with GPU (gtx1060)

Installing Ubuntu 18.04, CUDA, CDNN, Pytorch and TensorFlow

Installing Ubuntu 18.04

Get Image

https://tutorials.ubuntu.com/tutorial/tutorial-create-a-usb-stick-on-ubuntu#0

Install (solving issues)

Installation

sudo apt-get -y --force-yes update
sudo apt-get -y --force-yes dist-upgrade

To use gsettings from command line

Handy one-liners for sed

Mar. 23, 2001 - version 5.1 - compiled by Eric Pement [email protected]

Latest version of this file is usually at:

http://www.student.northpark.edu/pemente/sed/sed1line.txt
http://www.cornerstonemag.com/sed/sed1line.txt
This file is also available in Portuguese at:

People

`:bowtie:`	😄 `:smile:`	😆 `:laughing:`
😊 `:blush:`	😃 `:smiley:`	☺️ `:relaxed:`
😏 `:smirk:`	😍 `:heart_eyes:`	😘 `:kissing_heart:`
😚 `:kissing_closed_eyes:`	😳 `:flushed:`	😌 `:relieved:`
😆 `:satisfied:`	😁 `:grin:`	😉 `:wink:`
😜 `:stuck_out_tongue_winking_eye:`	😝 `:stuck_out_tongue_closed_eyes:`	😀 `:grinning:`
😗 `:kissing:`	😙 `:kissing_smiling_eyes:`	😛 `:stuck_out_tongue:`

	# If you use bash, this technique isn't really zsh specific. Adapt as needed.
	source ~/keychain-environment-variables.sh

	# AWS configuration example, after doing:
	# $ set-keychain-environment-variable AWS_ACCESS_KEY_ID
	# provide: "AKIAYOURACCESSKEY"
	# $ set-keychain-environment-variable AWS_SECRET_ACCESS_KEY
	# provide: "j1/yoursupersecret/password"
	export AWS_ACCESS_KEY_ID=$(keychain-environment-variable AWS_ACCESS_KEY_ID);
	export AWS_SECRET_ACCESS_KEY=$(keychain-environment-variable AWS_SECRET_ACCESS_KEY);

	pragma solidity ^0.5.0;

	contract Token {
	string public name = "DApp Token";
	string public symbol = "DAPP";
	uint256 public totalSupply = 1000000000000000000000000; // 1 million tokens
	uint8 public decimals = 18;

	event Transfer(
	address indexed _from,

	wget https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh -O miniconda3.sh
	chmod +x miniconda3.sh
	bash miniconda3.sh -b

	echo 'export PATH="$HOME/miniconda3/bin:$PATH"' >> $HOME/.bashrc && . ~/.bashrc
	echo 'export PATH="$HOME/miniconda3/bin:$PATH"' >> $HOME/.zshrc && . ~/.zshrc

	rm -r -f $HOME/miniconda