Apple ios 15 update12/30/2023 Brands like Peloton, Bumble and Wayfair have run Apple search ad campaigns this year. This year, Apple also launched search ads, which is its first-party ad network for brands to target people that are perusing the App Store. Apple has developed its SKAdNetwork and other measurement services that give advertisers some insights into when iPhone users download apps and other activity. “What Apple has done, not just with iOS, but their entire ecosystem has become this fortress,” says Nirish Parsad, privacy lead and marketing technologist at Tinuiti, a performance marketing technology agency.Īpple, which is publicly averse to advertising, has actually been taking on a new role to fill the holes it left in ad markets. There also is a major public push among regulators and political leaders to enforce new privacy measures that prevent companies from sharing data without the express consent of the consumer. Apple wants to upend how digital advertising companies, especially the big internet companies like Google and Facebook, track users through its hardware. With every new device and software update, Apple’s ecosystem becomes more guarded about sharing data. In June, Apple showed off the new features in iOS 15, but the software rolls out Monday, and comes just as iPhone 13, Macs, iPads and watches go on sale. “Behavioral targeting, geolocation targeting, cross-device identity, all that stuff is going to be impacted by the further regulation that Apple is imposing within Safari,” she adds. “Previously, it was IDFA opt-in and now it’s really focused on IP addresses, which a lot of folks are using as cookie replacements.” “The big thing is around Safari,” Simpson says. Without IDFA, ad tech companies have relied on reading IP addresses to target consumers. With iOS 14, Apple cut off the ability for developers and ad tech companies to use Apple’s Identifier for Advertisers, or IDFA, which is a unique code that makes it simple to record every step of someone’s journey on the iPhone. But what’s clear is that Apple’s moves represent yet another disruption to the ad tech marketplace.Īpple’s new software is expected to impact the internet and mobile web, whereas iOS 14 was geared toward app privacy, says Jess Simpson, senior VP, verified tech and identity, Publicis Media. The full ramifications of all these privacy initiatives are not yet known, because they depend on how often consumers opt into the tools. “Private Relay” is another component to Apple’s next-generation software, which encrypts the web browsing tracks of iCloud customers. Now, iOS 15 promises to restrict tracking even further, shutting off the ability for developers, publishers and advertisers to see the internet protocol addresses of Apple users browsing on Safari-a practice known as “IP masking.” There’s also a new way for Apple users to hide their email addresses so marketers can’t see when a consumer opened their emails. With the update, if a consumer declines to be tracked, then an app can not utilize device data that in the past was used to improve services and run personalized ads. This comes just as advertisers are only starting to adjust to iOS 14’s release last year, when Apple implemented “App Tracking Transparency,” which lets users opt-out of tracking. On Monday, Apple will release iOS 15, which runs on iPhones, as well as companion software for Macs, iPads and Apple Watch. Meanwhile, in place of the old methods of advertising, many advertisers say Apple could become a resurgent player, developing its own version of personalized ads to fill the gap and help apps and publishers make money in the process. Apple is instituting a number of new privacy measures that wall off its users from prying eyes, especially internet ad companies that live on device data to target and measure ads. Apple’s next iPhone software, iOS 15, promises to curtail data-sharing even more than iOS 14, putting a new scare in the advertising industry about the future of digital ads in the world of Apple devices.
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Mysql optimizer turn off12/30/2023 With much trepidation, I asked the customer to try out the result of: SELECT Id FROM Posts WHERE ChannelId = '9tne5g44z7f1zn4z1whebb7jna' So I’d better use the multi-column index.” And that’s exactly what we want! But now MySQL goes: “Aha, now I have to sort by these three columns. Because ChannelId and DeleteAt are equality checks. Since the choice of the index is dictated by the “ORDER BY” clause rather than the “WHERE” clause, what if we can include that decision in the “ORDER BY” clause itself? If we change ORDER BY CreateAt to ORDER BY ChannelId, DeleteAt, CreateAt, the query result remains exactly the same. Now that we understand the problem, how can we coax MySQL into choosing the right index? Well, if MySQL is acting smart, we can outsmart it. Whereas actually, using the multi-column index leads to scanning fewer rows, which gets sorted in practically no time at all. MySQL tries to be smart and decides that although using the CreateAt index might have to scan through more rows, it avoids the sorting at the end. But after some Googling, I had a pretty good theory of what was happening. I wasn’t able to reproduce the problem locally, so it wasn’t feasible to try different variations of the query. But then, why is MySQL choosing the wrong index in the first place? Using USE INDEX was the nuclear button which I didn’t want to use unless there were no other options. Simply because the query filters by all three columns which leads to scanning a much smaller dataset. It becomes clear why choosing the multi-column index is faster than choosing the one for CreateAt. And then ordering by CreateAt and just getting the first row. We’re filtering the table by three columns: ChannelId, DeleteAt, and CreateAt. SELECT Id FROM Posts WHERE ChannelId = 'x' AND DeleteAt = y AND CreateAt < z Another involving ChannelId, DeleteAt, and CreateAt. Each of them have their individual indices, and there are two additional multi-column indices. Our main columns of interest are CreateAt, DeleteAt, UpdateAt, and ChannelId. But it contains the essential elements for us to understand the problem. This is an abridged version of the Posts table for brevity. KEY `idx_posts_channel_id_delete_at_create_at` (`ChannelId`,`DeleteAt`,`CreateAt`),įULLTEXT KEY `idx_posts_message_txt` (`Message`) KEY `idx_posts_channel_id_update_at` (`ChannelId`,`UpdateAt`), KEY `idx_posts_channel_id` (`ChannelId`), The query was: SELECT Id FROM Posts WHERE ChannelId = '9tne5g44z7f1zn4z1whebb7jna' It started off with a customer noticing that a SQL query was running slowly in their environment. This is the story of an (apparently) smart optimization to a SQL query that backfired spectacularly-and how we finally fixed it. In that case, allow me to regale the uninitiated reader. If you’re a MySQL veteran and have read the title, you already know where this is heading □. Optimizing SQL queries is always fun-except when it isn’t. AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |