Each of these commands will run an ad hoc http static server in your current (or specified) directory, available at http://localhost:8000. Use this power wisely.
$ python -m SimpleHTTPServer 8000
Each of these commands will run an ad hoc http static server in your current (or specified) directory, available at http://localhost:8000. Use this power wisely.
$ python -m SimpleHTTPServer 8000
SELECT | |
t.tablename, | |
foo.indexname, | |
c.reltuples AS num_rows, | |
pg_size_pretty(pg_relation_size(quote_ident(t.tablename)::text)) AS table_size, | |
pg_size_pretty(pg_relation_size(quote_ident(indexrelname)::text)) AS index_size, | |
pg_relation_size(quote_ident(indexrelname)) as index_size_bytes, | |
CASE WHEN indisunique THEN 'Y' | |
ELSE 'N' | |
END AS UNIQUE, |
mysql> SELECT @@version; | |
+-----------+ | |
| @@version | | |
+-----------+ | |
| 8.0.25 | | |
+-----------+ | |
1 row in set (0.00 sec) | |
mysql> SELECT UUID() INTO @myuuid; |
#!groovy | |
import groovy.json.JsonOutput | |
import groovy.json.JsonSlurper | |
def label = "mypod-${UUID.randomUUID().toString()}" | |
podTemplate(label: label, yaml: """ | |
spec: | |
containers: | |
- name: mvn | |
image: maven:3.3.9-jdk-8 |
We want PlanetScale to be the best place to work. But every company says that, and very few deliver. Managers have a role in creating an amazing work experience, but things go awry when the wrong dynamic creeps in.
We have all seen those managers who collect people as “resources” or who control information as a way to gain “power.” In these cultures, people who “can’t” end up leading the charge. This is management mediocrity.
What will make us different? At PlanetScale, we won’t tolerate management mediocrity. We are building a culture where politics get you nowhere and impact gets you far. Managers are here to support people who get things done. They are as accountable to their team as their team is accountable to them.
We evaluate managers on the wellbeing and output of their team, how skillfully they collaborate with and influence others, and how inclusively and transparently they work.
You can expect your manager to:
import sys | |
from awsglue.transforms import * | |
from awsglue.utils import getResolvedOptions | |
from pyspark.context import SparkContext, SparkConf | |
from awsglue.context import GlueContext | |
from awsglue.job import Job | |
import time | |
from pyspark.sql.types import StructType, StructField, IntegerType, StringType | |
sc = SparkContext() |
# In order for gpg to find gpg-agent, gpg-agent must be running, and there must be an env | |
# variable pointing GPG to the gpg-agent socket. This little script, which must be sourced | |
# in your shell's init script (ie, .bash_profile, .zshrc, whatever), will either start | |
# gpg-agent or set up the GPG_AGENT_INFO variable if it's already running. | |
# Add the following to your shell init to set up gpg-agent automatically for every shell | |
if [ -f ~/.gnupg/.gpg-agent-info ] && [ -n "$(pgrep gpg-agent)" ]; then | |
source ~/.gnupg/.gpg-agent-info | |
export GPG_AGENT_INFO | |
else |
PLANETSCALE_DB=brandnewdb | |
PLANETSCALE_BRANCH=mybranch | |
PLANETSCALE_ORG=jonico | |
PLANETSCALE_SERVICE_TOKEN=pscale_tkn_loCzIH7NktDK-GWJ71eX97Qr5D3a9iEO_pgHCSHUtw | |
PLANETSCALE_SERVICE_TOKEN_NAME=69xrlIwgs4ms |
aws cli