geoffmc

#!/bin/bash

if [ -z "${PROJECT}" -o -z "${DATASET}" ]; then
  echo "Please set \$PROJECT and \$DATASET."
  exit 1
fi

IFS='' read -d '' Q <<EOF
#standardSQL
/*

geoffmc

#!/bin/bash

if [ -z "${PROJECT}" -o -z "${DATASET}" ]; then
  echo "Please set \$PROJECT and \$DATASET."
  exit 1
fi

IFS='' read -d '' Q <<EOF
#standardSQL
/*

domgiles

from __future__ import print_function

import argparse
import os
import time

import humanize
import psutil
from colorama import Fore, Back
from colorama import Style, init

santisbon

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Get all gists from the user santisbon.
user:santisbon

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DGrady

Query Oracle databases with Python and SQLAlchemy

N.B. SQLAlchemy now incorporates all of this information in its documentation; I’m leaving this post here, but recommend referring to SQLAlchemy instead of these instructions.

Install requirements

1. We’ll assume you already have SQLAlchemy and Pandas installed; these are included by default in many Python distributions.
2. Install the cx_Oracle package in your Python environment, using either pip or conda, for example:

vicenteg

#!/bin/bash

if [ -z $1 ]; then
	echo "Provide a BQ table spec, ideally fully qualified."
	exit 1
fi


if $(echo "" | jq .); then
	bq --format json show $1 | jq -j '[.schema.fields[] | .name + ":" + .type] | join(",")'

ueokande

Benchmark commands

Producer

Setup

bin/kafka-topics.sh \
  --zookeeper zookeeper.example.com:2181 \
  --create \

dantheman213

#!/bin/sh

# AUTHOR
# DANIEL E. GILLESPIE (2016)
# https://github.com/dantheman213

# DESCRIPTION
# Export your app's table schemas and stored functions from a PostgreSQL 
# database into individual *.sql files for easy management and source control.

LeCoupa

# Redis Cheatsheet
# All the commands you need to know


redis-server /path/redis.conf  # start redis with the related configuration file
redis-cli                      # opens a redis prompt


# Strings.

jonschlinkert

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    • Sub-sub-heading