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Seo Master present to you: By Dion Almaer, Google Developer Programs

One of the core pieces of infrastructure at Google is something called Protocol Buffers. We are really pleased to be open sourcing the system, but what are these buffers?

Protocol buffers are a flexible, efficient, automated mechanism for serializing structured data – think XML, but smaller, faster, and simpler. You define how you want your data to be structured once, then you can use special generated source code to easily write and read your structured data to and from a variety of data streams and using a variety of languages. You can even update your data structure without breaking deployed programs that are compiled against the "old" format

It is probably best to take a peak at some code behind this. The first thing you need to do is define a message type, which can look like the following .proto file:

message Person {
  required string name = 1;
  required int32 id = 2;
  optional string email = 3;

  enum PhoneType {
    MOBILE = 0;
    HOME = 1;
    WORK = 2;
  }

  message PhoneNumber {
    required string number = 1;
    optional PhoneType type = 2 [default = HOME];
  }

  repeated PhoneNumber phone = 4;
}

There is detailed documentation on this language for you to learn more.

Once you have defined a message type, you run a protocol buffer compiler on the file to create data access classes for your platform of choice (Java, C++, Python in this release).

Then you can easily work with the data, for example in C++:

Person person;
person.set_name("John Doe");
person.set_id(1234);
person.set_email("jdoe@example.com");
fstream output("myfile", ios::out | ios::binary);
person.SerializeToOstream(&output);

We sat down with Kenton Varda, a software engineer who worked on the open source effort, to get his take on Protocol Buffers, how we ended up with them, how they compare to other solutions, and more:

2013, By: Seo Master

Seo Master present to you:
By Jason Robbins, Google Project Hosting Team

Faster is better, especially for tedious tasks. Even though software development can be creative and exciting, it certainly has its share of tedious tasks. For example, that open source application library you developed that got users so excited? Well, now it is generating dozens of defect reports and enhancement requests for you and your teammates to sift through. Is your team growing? Are you planning a major release? Is it time to finally clean up obsolete issues? It’s awesome to be organized, but keeping up with all your issues can become tedious: click, click, click, click, click.

Today we’re launching a new issue tracking feature that allows quick edits in the issue preview window. It’s a happy medium between viewing one issue in detail and doing a bulk edit. Unlike the familiar forms-based UX that we normally use, quick edits are more command-like, keyboard-oriented, and emphasize the ability to repeat recent commands.


Previewing issues works about 40% faster than our normal issue detail page, so you can skim fast enough to achieve oneness with your backlog, then punch in some quick edits to show it who’s boss. When you’re in the zone, that click, click, click is replaced with something more like h, e, j, j, e, j, j, 2, e, j, e, j, j, j, 1, e, done! Here’s your cheat sheet:

Keystroke	Action
h	Toggle the issue preview window.
j or k	Select the next or previous issue.
f, n, p, l	Scroll to the first, next, previous, or last comment in an issue.
1, 2, 3, 4, 5	Select a recent command. If you modify the command or comment, it will be stored in that numbered slot for later reuse.
m	Focus on the command text field.
e	Execute the command and show the issue comment that it generated.

Not ready to go all-keyboard? Just turn on the user preference for issue preview when mousing. Then, you can do your most common and repetitive issue edits by just hovering over an ID number and clicking the Execute button.


Jason Robbins founded the ArgoUML and ReadySET open source projects as a result of his research into the cognitive challenges of software engineering tool UIs. He’s worked on Google Project Hosting since 2005. Over the years he’s been a contestant, coach, and judge for the ACM International Collegiate Programming Contest.

Posted by Scott Knaster, Editor

2013, By: Seo Master

Seo Master present to you: By Dion Almaer, Google Developer Programs

Having the July 4th holiday smack in the middle of the week creates a strange week when it is hard to know which day it is. That being said, we have seen some interesting uses of our APIs, and we are happy to welcome a new team to Google.

In API and developer-product news...

Aleksander Fedorynski felt like "a penguin assigned to work on Herring Search" when he started building improvements to Google Code Search.

Alex Komoroske asked if you want spreadsheet filtering? and answers with a feature-rich auto filter that makes great use of the Spreadsheet Data API. Do a view source and see how it all works!

Mark Berghausen of the Search Quality Team has written a few words about the search considerations designers should think about when building a Flash-heavy site in: Best uses of Flash.

July 4th has gone, but the mashup is still here. Paul McDonald made it easy to find fireworks in your area, using the Google Mashup Editor. Speaking of which, Don Schwartz talks about how you can edit our mashup in whatever editor you choose.

Around Google

If you call 1-800-GOOG-411 you can now say "map it" and a map will be sent to you.

GrandCentral is now part of the team: "GrandCentral is an innovative service that lets users integrate all of their existing phone numbers and voice mailboxes into one account, which can be accessed from the web. We think GrandCentral's technology fits well into Google's efforts to provide services that enhance the collaborative exchange of information between our users."

Featured Projects

The Rocket GWT library provides the ability to define beans, properties, references and other Spring like concepts in GWT.

The Digg Roundup Gadget is a gadget based on the Digg Roundup tool, accompanied by a detailed "how-to" write up.

Google Tech Talks

The Seattle Conference on Scalability recently took place and a lot of great talks from the event have been made available:

• Scaling Google for Every User by Marissa Mayer
• Abstractions for Handling Large Datasets by Jeff Dean
• MapReduce Used on Large Data Sets by Barry Brumitt
• Building a Scalable Resource Management by Khalid Ahmed
• SCTPs Reliability and Fault Tolerance by Brad Penoff, Mike Tsai, and Alan Wagner
• Lessons In Building Scalable Systems by Reza Behforooz
• YouTube Scalability by Cuong Do Cuong

2013, By: Seo Master