# Goodbye Thor

Just a little personal note, since he's shown up on this blog pretty frequently. I'm sad to say that my dog Thor passed away yesterday after a short but severe illness. The picture above is from just a couple of weeks ago, so you can see he was active right up until the end. He was a fantastic little guy, and I feel lucky to have had him in my life for the time I did. If you knew him and want to remember him, feel free to make a small donation to the ASPCA in his memory. I'm obviously very sad, and will miss him a lot, but I'm doing ok.

# Cassandra initial tokens table

When you're setting up a Cassandra cluster with random partitioning, you need to choose balanced keys for the initial tokens by dividing 2^127 by the number of nodes. I found a script here, but being a lazy bugger, I just wanted a table for common numbers of nodes. I couldn't find one by googling, so here's my generated version, and here's

One Node

node 0: 0

Two Nodes

node 0: 0

node 1: 85070591730234615865843651857942052864

Three Nodes

node 0: 0

node 1: 56713727820156410577229101238628035242

node 2: 113427455640312821154458202477256070485

Four Nodes

node 0: 0

node 1: 42535295865117307932921825928971026432

node 2: 85070591730234615865843651857942052864

node 3: 127605887595351923798765477786913079296

Five Nodes

node 0: 0

node 1: 34028236692093846346337460743176821145

node 2: 68056473384187692692674921486353642291

node 3: 102084710076281539039012382229530463436

node 4: 136112946768375385385349842972707284582

Six Nodes

node 0: 0

node 1: 28356863910078205288614550619314017621

node 2: 56713727820156410577229101238628035242

node 3: 85070591730234615865843651857942052864

node 4: 113427455640312821154458202477256070485

node 5: 141784319550391026443072753096570088106

Seven Nodes

node 0: 0

node 1: 24305883351495604533098186245126300818

node 2: 48611766702991209066196372490252601636

node 3: 72917650054486813599294558735378902454

node 4: 97223533405982418132392744980505203273

node 5: 121529416757478022665490931225631504091

node 6: 145835300108973627198589117470757804909

Eight Nodes

node 0: 0

node 1: 21267647932558653966460912964485513216

node 2: 42535295865117307932921825928971026432

node 3: 63802943797675961899382738893456539648

node 4: 85070591730234615865843651857942052864

node 5: 106338239662793269832304564822427566080

node 6: 127605887595351923798765477786913079296

node 7: 148873535527910577765226390751398592512

Nine Nodes

node 0: 0

node 1: 18904575940052136859076367079542678414

node 2: 37809151880104273718152734159085356828

node 3: 56713727820156410577229101238628035242

node 4: 75618303760208547436305468318170713656

node 5: 94522879700260684295381835397713392071

node 6: 113427455640312821154458202477256070485

node 7: 132332031580364958013534569556798748899

node 8: 151236607520417094872610936636341427313

Ten Nodes

node 0: 0

node 1: 17014118346046923173168730371588410572

node 2: 34028236692093846346337460743176821145

node 3: 51042355038140769519506191114765231718

node 4: 68056473384187692692674921486353642291

node 5: 85070591730234615865843651857942052864

node 6: 102084710076281539039012382229530463436

node 7: 119098828422328462212181112601118874009

node 8: 136112946768375385385349842972707284582

node 9: 153127065114422308558518573344295695155

Datacatalogs.org – A catalog of data catalogs from governments around the world. The really hard problem with all 'open data' is making the connection between a developer's immediate problem and an available data set or API, but at least sites like this are building a foundation for solving that.

A proposal for making Ajax crawlable – I didn't realize the hashbang syntax was actually backed up by an informal standard for making the same content available to crawlers through a traditional URL. This is much better than completely opaque Javascript-driven pages, but I am left wondering how tough it is to maintain two separate content delivery paths in the code?

Disruptor – Much as I dislike queues as a general-purpose primitive for data processing (I see them as a necessary evil when you're dealing with the subset of problems that require streaming solutions) I am impressed by this high-performance framework. A recurring theme in many of my optimization investigations over the last few years has been the painful cost of locking, so I bet their focus on lockless parallelization will be very powerful.

Adventures with venture capital – Chasing investment is both time-consuming and uncertain. A cautionary tale from Tim on how the process can go wrong, which unfortunately is more often than you'd think.

How much compute power do you need for next-gen sequencing? – Bioinformatics tasks are much larger than most web problems, but this analysis of their computing needs has some useful parallels. In my data jobs, CPU has never been the bottleneck, it's always been memory or IO. I don't think I'll be moving to a 1TB RAM machine any time soon though!

# My San Francisco food highlights

Photo from the Lazy Bear

Since I've moved into San Francisco, I've fallen in with a bad crowd. I've found myself hanging out with foodies, which has resulted in a lighter wallet and a heavier exercise schedule. Here's some of the more memorable places I've been in the last six months. Most of these aren't particularly high-end, but did leave an impression.

Blue – Spicy mac'n'cheese! Tater tots! A tiny diner on Market near Castro, full of lovingly executed comfort food.

La Mar – Strange but nice mashed-potato sculptures, served a bit like sushi. An expensive Peruvian restaurant at the Embarcadero, has high-octane pismo sours.

Chow – American traditional, old-style pasta dishes like spaghetti and meatballs. There's multiple locations, but the one at Church and Market has the best food and service.

L'Ardoise – Classy but unpretentious French food, coq-au-vin done right. Staffed by actual French people, this small place near Noe and Market is one of my favorite restaurants in the world.

Sushi Raw – Everyday California sushi, think spider rolls and other staples. Near Haight and Steiner in Lower Haight, this is a solid neighborhood sushi bar with a good online ordering system for take-out. It's my go-to place for a quick and healthy weekday meal.

Axum Cafe – Ethiopian food, lots of vegetarian offerings. This was my first exposure to Ethiopian food, and as a fan of both bread and eating with my hands, I was a natural. I recommend getting a platter with a sampler of all five of their dishes.

If you've been wondering about my radio silence, the last few weeks have been jam-packed with change. I've joined up with a couple of experienced co-founders I've known for a while, and we're creating a consumer-focused business based on a lot of the ideas I've been working on for the last few years. I can't tell you how productive it is to be working in a team again, I'm even going into an office every day! We're in the middle of raising a seed round, so if you're an investor who wants to know more, drop me an email: pete@petewarden.com.

Anyway, the new venture gives me so much material but so little time, but I'll still be blogging when I can catch my breath. It's the only way I know to really understand my own thinking.

Gitalytics – A statistical analysis service for Github by Sameer Al-Sakran. It shows how powerful remixing publicly-available data about people can be, and I'm not just saying that because he gave me a high score! I already use github activity as a signal in hiring, but this gives me a much better summary than I can get by browsing the main website.

Is data open if it can't be crawled? – As we see more websites adopt the #! (hashbang) javascript-driven approach to rendering pages, does it close off automated access? In this case it appears that Oregon has an alternative structure available, but as content gets embedded as part of a script-driven process, it will be harder and harder for developers to access it. This is one reason I'm betting that client-side capturing will be the long-term answer to open data.

To lose weight, forget the details – Dieters only given access to their approximate weight were more successful than those who could see an exact version. As much as I love metrics, this matches what I know about my own emotional response to numbers.

Eatfoo – I met the chef behind the Lazy Bear 'underground restaurant' at a recent party, and I can't wait to attend the next one. I've fallen in with a foodie crowd here in San Francisco, they're even starting to shame me out of my occasional weakness for Taco Bell.

"Researchers make their reputations on discovery, not de-discovery" – Laura J Snyder applies her historical perspective to the current practice of science and finds it wanting. I do wonder what the long-term consequences of the flood of bogus studies will be? It's no wonder that there's a lot of skepticism about real phenomena like global warming, when many of the well-publicized studies about other topics aren't exposed to active debunking efforts.