So you want to connect Kafka Connect to Confluent Cloud? Here’s how.
package com.caffinc.grex.core; | |
/** | |
* SPDX-License-Identifier: MIT | |
* | |
* Generates Load on the CPU by keeping it busy for the given load percentage | |
* @author Sriram | |
*/ | |
public class Load { | |
/** |
import torch | |
import torch.nn as nn | |
from torch.nn.utils.rnn import pack_padded_sequence, pad_packed_sequence | |
seqs = ['gigantic_string','tiny_str','medium_str'] | |
# make <pad> idx 0 | |
vocab = ['<pad>'] + sorted(set(''.join(seqs))) | |
# make model |
OS: Centos | |
Requisite: JAVA 7+8 | |
sudo vi /etc/profile | |
export JAVA_HOME=/usr/lib/jvm/jre-1.8.0-openjdk | |
export JRE_HOME=/usr/lib/jvm/jre | |
Download Kafka from any of the given website: the one use here is kafka_2.11-0.10.1.1.tgz | |
Untar: tar -xvf kafka_2.11-0.10.1.1.tgz | |
sudo mv kafka_2.11-0.10.1.1.tgz /opt |
Note: This works all except for the shell script part. Need to figure that out. You can do it interactively just not from the command prompt.
- Install Git
- Install Git Bash via Git Tortoise install
- Added HOME=/c/Users/$USERNAME to C:\Program Files\Git\etc\profile
- See https://stackoverflow.com/questions/32232978/change-the-location-of-the-directory-in-a-windows-install-of-git-bash
- Download rsync.exe from https://repo.msys2.org/msys/x86_64/rsync-3.2.3-2-x86_64.pkg.tar.zst use 7-zip to decompress
- See https://blog.tiger-workshop.com/add-rsync-to-git-bash-for-windows/
- Put rsync.exe into C:\Program Files\Git\usr\bin
- Open Git Bash and create a key file using ssh-keygen
This is a series of gists documenting testing done with the numeric.mapping
option in Kafka Connect.
- Oracle
- MS SQL Server
- Postgres
- MySQL - n/a because of #563
—@rmoff January 9, 2019
I was at Amazon for about six and a half years, and now I've been at Google for that long. One thing that struck me immediately about the two companies -- an impression that has been reinforced almost daily -- is that Amazon does everything wrong, and Google does everything right. Sure, it's a sweeping generalization, but a surprisingly accurate one. It's pretty crazy. There are probably a hundred or even two hundred different ways you can compare the two companies, and Google is superior in all but three of them, if I recall correctly. I actually did a spreadsheet at one point but Legal wouldn't let me show it to anyone, even though recruiting loved it.
I mean, just to give you a very brief taste: Amazon's recruiting process is fundamentally flawed by having teams hire for themselves, so their hiring bar is incredibly inconsistent across teams, despite various efforts they've made to level it out. And their operations are a mess; they don't real
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