Re: Free Pdf Compress
Mirthe Luria
I tried running a new reconcile, post,reconcile compress to check if perhaps a large number of bulk updates had been made on some version or on default that were causing this. But the compress operation has been stuck for 24hours on 'delete leaf states', while it usually only takes 2 minutes. Our workflow is to never let anyone make edits to the default version or do any bulk updates in their version, but I can't completely rule out that this has happened.
Compression can be stopped while it is executing because the operation is designed to be transactionally consistent. Therefore, if the operation encounters an error, fails, or abruptly stops, the versioned tables being compressed are still logically correct with respect to any version's representation. One reason you might stop compression is if you run it while users are connected to the geodatabase, then discover the compression is consuming a large amount of system resources. In that case, you might want to stop the operation and run it again when fewer or no users are connected to the geodatabase.
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Actually it's not the browser. The Dropbox media player itself is transcoding the original audio when you preview it in any browser. This is referenced here (search in page for "Transcoding"):
-folders/preview
For example right now I'm playing back a 320k MP3 file. It sounds different when streamed in the browser compared to off the synced folder on my computer. From the browser it has all of the hallmarks of 128k MP3 transcoding. The hi hats sound like there's a flanger on them and overall the track is duller when streamed in the browser. This is in Chrome on Mac.
Thanks for your reply. But how does services like Soundcloud and Youtube manage to get undistorted sounds through a browser? In fact, I don't hear much distortion when streaming from Google Drive either.
Actually there can be distortion there as well, depending on what format was used for upload. Transcoding, same problem we're hearing here.
But you can't compare those services, that are designed for media streaming, with Dropbox, which is not a media streaming service. There are a bunch of code optimisations that work well for streaming that would not be optimal with a cloud storage system. Checksums, for a start.
Wait! This is very helpful. I'm listening to a master right now on my iphone through earbuds. It sounds as clear as a bell on all speakers, headphones, etc when I'm listening through to the files via my hard drive, or a cd. When I use the dropbox audio player, I'm getting distortion that sounds like clipping.
What you're saying is what I'm suspecting? The dropbox audio player compresses the file and isn't necessarily the best at doing that function? They aren't focusing their attention on creating the best streaming service. It's just a file preview.
Am I understanding that correctly? When I'm listening on my phone thru the amp, it's still playing the cloud file on their end through their browser media player. If I were to download the file onto my phone and play via music, I shouldn't experience the same compression/distortion?
Using our legacy (traditionally versioned) database we ran processes against the versioned views. This method helped us ensure we were only running a third party application update on current records (those not in a non-posted version).
But when I look at the Branch Versioned database tables in SQL Server I get worried. I see no versioned views and the "Base" tables contain records for all records ever created, edited, or even deleted in the feature class, even features in versions that were deleted and/or not yet rec and posted. I also don't see how to tell which records should exist (I.E. have not been deleted or never posted) from the records that should exist.
Is there a way to filter a Branch Versioned Feature Table in SQL Server to see what a "Versioned View" would show. Or at least to tell which records in the Branch Versioned Feature Table in SQL are the currently existing features (I.E. have not been delete, or which are the most recent edits, etc).
P.S. another issue is that we have some feature classes with 100,000 + features in them, if every deleted and edited and non-posted record gets written to the table, that will be thousands of extraneous features a year.
With branch versioned data, there is no need to compress. You are correct in stating the records are in the base table. There are other people that have been curious about pruning records, and that is an idea that is still open.
-questions/how-can-i-prune-a-branch-versioned-featureclass/...
2) You cannot use a database (SQL) query to just pull the records you want out of the base tables directly in your DBMS (SQL Server in our case). You have to direct your queries through the service (REST API).
3) The answer to the P.S. I'm a little more unsure of, but I think those records just stay in the base table, since it is assumed your never going to use it directly anymore (only access is through the service). Maybe it is assumed the extra records its carrying around aren't a big deal... maybe you have to run some special API Service based Compress I haven't learned yet (now that I have to learn the REST API)...If anyone know the answer to this one I would still appreciate the info. Thanks.
The main difference is that Compress Tables affects only how big the file is on disk. JMP will use the un-compressed version in memory. So, this option is useful to keep your drive from filling up with JMP data tables.
I've been working with files that are larger than I typically deal with and started using the 'Compress File When Saved' option. It really cuts down on the size, but I am always suspicious of free-lunch solutions. Is there really no downside? Why wouldn't this be the default for all tables?
At various times throughout a program, I am passing a parameter that is typically 2-6 characters plus a 3-digit number through a macro. In the macro, I am trying to extract just the digits. I'm trying to use the A modifier in the compress() function, but I get a warning that appears twice with every pass of the macro:
Oh my goodness. It was just the single quotes around the A modifier? I was trying so many different things like quotes around the &dsin. parameter or quotes around blank space in the 2nd compress parameter. Nothing was working, but removing the quotes around the modifier did the trick. Thanks!
One of the funniest and most implausible things in movies is the grand speech by the general, usually the film's protagonist, in front of thousands of soldiers in the moments just before a critical battle. Examples abound, and the punch lines lodge in the memory, from Henry V ("We band of brothers") to Braveheart ("They will never take away...our freedom!") to Lord of the Rings: Return of the King ("There may come a day...but today is not that day!").
The reason these scenes always strike me as absurd is that the character giving the speech is never using a megaphone or a microphone. The speech is almost always given outdoors, in the open air, so his voice carries for a radius of, what, thirty or forty feet? I imagine a soldier standing in the last row of the army about a mile away from the front lines bugging everyone around him, "What did he say? Can anyone hear?" and being shushed by everyone. Maybe only the first row or two of soldiers needs to hear the motivational speech because they're the first to run into a hail of bullets and arrows?
Even with modern communication infrastructure, however, any modern CEO deals with amplification and distortion issues with any message. Humans learn about this problem very early on by playing telephone or operator, or what I just learned is more canonically known outside the U.S. as Chinese whispers. One person whispers a message in another person's ear, and it's passed on down the line to see if the original phrase can survive intact to the last person in the chain. Generally, errors accumulate along the way and what makes it to the end is some shockingly defective copy of the original.
Despite learning this lesson early on, most people in leadership positions still underestimate just how pervasive this problem is. This is why any manager or executive is familiar with how much time they spend on communicating the same things to different groups in the organization. It feels like it's all you do sometimes, and yet you still encounter people who feel like they're in the dark.
I hadn't read Jeff Bezos' most recent letter to shareholders until today, but it was just what I'd expect of it given something I observed in my seven years there, which are now more than a decade in the rear view mirror. In fact, one of reasons I hadn't read it yet was that I suspected it would be very familiar, and it was. The other thing I suspected was that it would be really concise and memorable, and again, it was.
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