marceloneppel

use std::io::Read;
use curl::easy::Easy;

fn main() {
    let mut data = "this is the body".as_bytes();

    let mut easy = Easy::new();
    easy.url("http://www.example.com/upload").unwrap();
    easy.post(true).unwrap();
    easy.post_field_size(data.len() as u64).unwrap();

marceloneppel

(ns collisions.core
  (:require [clojure.string :as str])
  (:gen-class))

(defn str->edge [s]
  (->> (str/split s #" ")
       (map #(Integer/parseInt %))))

(defn file-contents->edges [s]
  (->> (str/split s #"\n")

marceloneppel

PostgreSQL is Enough

• Simplify: move code into database functions
• Just Use Postgres for Everything
• Just use Postgres
• PostgreSQL is the worlds’ best database
• Postgres is eating the database world
• Hacker News discussion

Background and Cron Jobs

marceloneppel

diff --git a/src/object_store/src/object/opendal_engine/opendal_object_store.rs b/src/object_store/src/object/opendal_engine/opendal_object_store.rs
index 20d498d678..004a49a006 100644
--- a/src/object_store/src/object/opendal_engine/opendal_object_store.rs
+++ b/src/object_store/src/object/opendal_engine/opendal_object_store.rs
@@ -376,10 +376,32 @@ impl OpendalStreamingUploader {
 impl StreamingUploader for OpendalStreamingUploader {
     async fn write_bytes(&mut self, data: Bytes) -> ObjectResult<()> {
         assert!(self.is_valid);
-        self.not_uploaded_len += data.len();
-        self.buf.push(data);

marceloneppel

Networking scenarios [Linux Only]

KIND runs Kubernetes cluster in Docker, and leverages Docker networking for all the network features: port mapping, IPv6, containers connectivity, etc.

Docker Networking

KIND uses a docker user defined network.

It creates a bridge named kind

marceloneppel

1. Download build-tools

apt-get install build-essential cmake -y

2. Configure the compiler

cmake \
-DWITH_BOOST=/usr/local/src/mysql-5.7.19/boost/boost_1_59_0 \
-DCMAKE_INSTALL_PREFIX=/usr/local/mysql57 \

marceloneppel

• Download mysql source

• Ran the following cmake command based on the documentation

cmake \
  -DCMAKE_INSTALL_PREFIX=/usr/local/mac-dev-env/mysql-5.7.18 \
  -DCMAKE_CXX_FLAGS="-stdlib=libstdc++" \
  -DDEFAULT_CHARSET=utf8 \
  -DDEFAULT_COLLATION=utf8_general_ci \

marceloneppel

# Load relevant libraries
import numpy as np
import numba as nb
import matplotlib.pyplot as plt

# Goal is to implement a numba compatible polyfit (note does not include error handling)

# Define Functions Using Numba
# Idea here is to solve ax = b, using least squares, where a represents our coefficients e.g. x**2, x, constants
@nb.njit

marceloneppel

package main

import (
	"encoding/binary"
	"fmt"
	"os"
	"os/signal"
	"time"

	"github.com/gordonklaus/portaudio"

marceloneppel

collective_code_location_message = '\n'
def print_dict(dict, verbose=True):
    #callerframerecord = inspect.stack()[1]    # 0 represents this line
    #                                        # 1 represents line at caller
    #frame = callerframerecord[0]
    #info = inspect.getframeinfo(frame)
    #if info.function == 'print_sql_result':
    #    code_probe('',2)
    #else:
    #    code_probe('', 1)