Saturday, January 18, 2020Light Snow -5°C

Thursday's late chunks of news - March 29

Posted by Hannah / March 29, 2007

It would seem that this sleepy town has been turned on its head today. People are forgoing patios, coffee and sunbathing to speak out and protest.

Someone over at Serious Eats is trying to start a bagel brawl.

We're also barely over and adjusting to the ban on smoking in bars and restaurants, and now there is talk of creating smoke-free apartment buildings across the country. And it could happen here: "Most landlords didn't even know they had that right,” Hans Brouillette, spokesperson for the Corporation des Propriétaires Immobiliers du Québec, told the Gazette.

If you're going to be part of the July 1 housing swap, make sure you read the fine print in your lease. Plenty of people are saying that this kind of regulation goes too far, infringing on personal freedoms and the right to privacy. (By the way, you've got until tomorrow to tell your landlord you're leaving July 1.)

Cegep and university students are protesting tuition hikes - and are demanding that the minority government led by barely-elected Charest offer higher education for free! Charest recently announced that tuition fees would rise by $100 after a 13 year freeze.

Photo by Nika



Gerson / February 4, 2015 at 02:20 pm
a column data store, think of it this way.normally we store rows, on a block we would have(c1, c2, c3), (c1, c2, c3) .....With clnumoar storage - we store all of the c1 values AND THEN the c2 values AND THEN the c3 values and then have a row lookup that lets us reference these column values (like pointers)if that were all, it would not compress anything - but....when we build the C1 array of data - we deduplicate it (pretend we are loading an audit trail, lots of IP addresses would be repeated in C1).and after de-dupping it, we compress it (lots of repetition again in IP addresses the leading edges might all be the same in fact). so, we store hundreds of thousands of IP addresses in a few bytes.And then we do that to column c2, and c3. Then we point to this data.That allows us to spend (a lot) of cpu time during the load to rearrange the data, de-dup it, compress it and store it - so at retrieval time we might have 1/50th of the data to scan through - decompressing is FAST, compressing is very slow (that is why we'll offload lots of work to exadata)
golu dolls / March 15, 2019 at 04:43 am
nice post
Kanchipuram sarees / March 15, 2019 at 04:43 am
nice post
Kanchipuram sarees / March 15, 2019 at 05:10 am
nice post
Herbal Powder / March 15, 2019 at 05:11 am
nice post

Add a Comment

Other Cities: Toronto