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    He’s never been tagged a sellout, and—amazingly, given the accelerated pace of public taste and Internet mood swings—he has never not been cool.” You can read the rest of Harris’s article here. Enter Theodore, who writes online letters for people who don’t know the difference between a metaphor and a simile (I admit to being one of these unfortunate souls), a job that allows him to exist smack dab in the middle of this reality-sucks universe. His wife left him (notated by classic indie over-exposed flashbacks of the two during happier times) and he’s still not over it, still not able to give himself to another woman. And then the first ever artificially intelligent operating system is introduced. It wasn’t that typical amateur writer stuff where he’s an all-by-himself 24/7 super-loser. There is no real-world equivalent to your partner cheating on you with 600 other people. And then there was a cyber-sex scene that had Theodore’s partner (voiced by Kristin Wiig, I later found out) telling him to strangle her with her dead cat while he fucked her. But those moments couldn’t prop up a film that probably would’ve worked best as an extended short, as opposed to a 125 minute feature (125 pages for a script where your character is going to be on the phone 80% of the time?? The Grudge Match writers literally copied and pasted Blake Snyder’s Save The Cat book into their Final Draft document and saved the document as “Grudge Match.” The Walter Mitty writers were a little more ambitious and went off the beaten path, yet lost momentum in their final act as a result (once your main character achieves his goal, as Walter Mitty did at the end of Act 2, it’s hard to keep us interested for another half-hour).

    Ms sql updating statistics

    Recently, for example, I watched a query go from taking hours to taking seconds just because we got a good set of statistics on the data.

    The topic of statistics and their maintenance is not straightforward.

    Column statistics can help the query optimizer choose a better plan in specific cases, such as for queries involving multiple tables or tables that already have indexes.

    SQL Server 2005 generates and automatically maintains statistics for every index you create, a feature that can help you in your query performance-tuning efforts.

    Often statistics are created on a single column but it’s not uncommon to create statistics on multiple columns.

    How do you find out if statistics are correct, and what can you do if the automatic update of statistics isn't right for the way a table is used?

    Statistics are critical metadata used by SQL Server’s query optimizer, which influence the selected execution plan for a query.

    The optimizer obtains its knowledge of the data, its distribution, and the number of rows a given query is likely to return from the available statistics.

    Based on this knowledge, it decides the optimal access path, making choices such as whether to scan a table or perform an index seek, use a nested loop join or a hash join, and so on.

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