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@TanuHoque Is this really implemented in Pro 3.5, or is this still "In Product Plan" and will be implemented in 3.6, because I do not see such an option to switch between "Clause" and "SQL" mode application wide in Pro 3.5? I assume it will be available somewhere in the "Project/Options", but in Pro 3.5, there still isn't such a setting as far as I can see it. Or am I missing something obvious?
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05-20-2025
01:52 PM
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I am not sure what you mean. If the hosted database is based on PostgreSQL, there is no "magic spell" to make it better than any other PostgreSQL installation. In the distant past, ArcSDE - one of the backbones of ESRI database technology - supported the 'RAW' spatial storage, which, due to being directly convertible to the ESRI internal geometry representation in applications, was generally regarded as a more performant option over databases 'native' geometry implementations for ESRI software (although ESRI never really made much noise about this or admitted to it). However, 'RAW' is past in favor of 'native' or ESRI ST_Geometry geometry storage in all databases AFAIK. If with your remark, you are just referring to PostgreSQL configuration as done with e.g. the 'postgresql.conf' file, I suggest you start delving into the wonderful world of PostgreSQL configuration and read up about the subject. There is definitely stuff you need to adjust in there, as the default settings are not suited for large (Post-)GIS databases, but just the absolute minimum to get a server running on minimal hardware.
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05-14-2025
12:29 AM
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Since the error states a "time out", has anything changed lately in your configuration to bog down your server, and maybe cause such a time out? Since you already run this for years, possibly on the same hardware, your hardware may no longer be able to fully keep up, and cause time out on some requests. Certainly, if your database and usage has grown considerably over the years, maybe the server is running against its limits. Have you checked that?
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05-13-2025
05:48 AM
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It depends on what type of work you are going to do with the database, and your current connection to your local database, and so what your expectations are. E.g. if you just want to do an occasional update of a limited number of records and / or view the data, or if you need fast low latency access because you are going to re-write millions of records on a regular basis. Remote databases can have a very large latency (the time to do a round trip from you local machine to the server and back), which can kill the performance if you need to fire thousands or even millions of requests to it. In case you run a remote database and need low latency access, you may need a virtual machine running ArcGIS Pro in the same data center or area, so as to avoid the cost of the round trip. E.g. I personally run a local PostgreSQL database filled with the entire planet's worth of OpenStreetMap data on a professional dual CPU 44 core HP Z840 workstation. In the most outrages configuration, I filled it with Facebooks now defunct "Daylight distribution" of OpenStreetMap, which integrated an additional >1 Billion buildings of Google "Open Buildings", causing the largest table to exceed >2.4 Billion records. Yes, you read that right, billions! I subsequently process and update hundreds of millions of records in derived tables. I certainly wouldn't want to do this against a remote database with latencies running in the 100's of milliseconds. It would take ages. Running this all locally against PCIe NVMe drives, I am capable of updating hundreds of millions of records per hour from ArcGIS Pro (although batched in sets of tens of thousands to reduce the number of requests). This would be unthinkable against a remote database, unless running as suggested above, a VM with Pro in the same data center as the remote database. Finally, running a local database, although a burden, can learn you a lot about the proper configuration and running of a PostgreSQL database and server, knowledge that you may not gain with a remote database and its fully pre-installed configuration (which may or may not suite your use case or be adjustable to your taste or needs).
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05-13-2025
12:44 AM
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The CVE seems to concern only one specific library regarding Avro format, which doesn't seem present in the Pro install (see my listing below which slightly differs from yours but does not show a file name with 'avro'). These found modules are different ones, and as far as I can tell not involved in the CVE. I guess the affected module is called simply 'parquet-avro-<VERSION>.jar', but I didn't see the actual full filename listed in the CVE.
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05-10-2025
10:49 AM
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Those ping latencies do not look to good, although expected across larger distances with machines in different regions. My local network setup, which is of course not comparable as being best case, has <1ms latency on ping to my VM running PostgreSQL. I think this explains a lot of your issue, and George's comment about running ArcGIS Enterprise and Pro on the same VNet as PostgreSQL: https://innerjoin.bit.io/the-distance-dilemma-measuring-and-mitigating-postgres-network-latency-76f6cd1a6c57
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05-02-2025
06:46 AM
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Of course, OpenStreetMap was already updated a year ago 😉, but you likely already know that: Relatie: Blue Heron Lake (12908) | OpenStreetMap
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04-28-2025
01:15 PM
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@_____ wrote: "The bugs we can report and many of them get fixed with the next update." I don't believe that for one second. That hasn't been my experience, or any other persons experience that I know. In fact, it's a meme online how terrible Esri is at doing bug fixes in a timely manner. I do think this quote hits on one important aspect of the issue raised here: ESRI rarely if ever backports bugfixes to the previous major release. This causes major issues, as it means that, even if a bugfix is introduced "in the next release" (which I agree with you is definitely not a given, and lots of recognized bugs are only fixed after maybe two or three major releases - which is 2-3 years), it may well end up in a version of ArcGIS with a new bug affecting the same functionality. If that sounds improbable: I have a tool that heavily relies on the Maplex label engine. When ESRI made some major changes to Maplex in ArcMap 10.3 and if I remember well Pro 1.4, I was confronted with unusable labeling results. Reporting back confirmed the issue, and a bugfix was introduced in the next major release, only to introduce a new major issue! I finally had to wait until ArcMap 10.6 and Pro 1.6 for the Maplex labelling engine to be fully sorted out and give proper results... Best software practices regarding bugfixes require fixes to be backported to previous releases, at the very least the last major release cycle. A fix for an issue in Pro 3.4 should not require upgrading to Pro 3.5, but also be in the Pro 3.4.x cycle. If you don't do that, you end up with a potentially perpetually broken product, as each new release also inevitably introduces new bugs, and the version users actually use (often the last major one), never gets fixed properly to the extent of being really usable. I really think if ESRI sorted out the way they handle these issues and dramatically reduce their bugfix backlog, both ESRI support employees and users would see a dramatic drop in the time needed to deal with issues, as rather than seeing the same - unfixed - issue pop-up for the tenth time in the support process, support employees and users would only primarily have to deal with true new issues. There is so much wasted time in the current process, that ultimately also holds back developers and waists their, as some repeated issues will ultimately make it on their plate as well.
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04-23-2025
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@RyJohnsen wrote: I'm on windows 11. I initially used TreadPoolExecutor, but I'm not I/O bound and the GIL caused it to be much slower than ProcessPoolExecutor. Yes, it all depends on how much actual CPU work versus IO you are doing whether ThreadPoolExecutor or ProcessPoolExecutor is the best solution (and available resources in terms of RAM etc., although that starts to become a pretty mood discussion on modern power desktops, that usually have plenty of resources). However, in my experience, it is pretty hard to become purely CPU and not IO bound. You really need to do significant work to be CPU bound or limited.
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03-25-2025
08:25 AM
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Actually, for Python, the maximum number of workers that can be launched on Windows is 61 according to the documentation for concurrent.futures: https://docs.python.org/3/library/concurrent.futures.html By the way, if you don't want irritating pop-ups of command windows during execution of processes, you can add the code below, which will change the python executable and prevent pop-ups and execute like if it was a thread (although process): import sys multiprocessing.set_executable(os.path.join(sys.exec_prefix,'pythonw.exe'))
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03-25-2025
07:56 AM
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Can't help you with the specific error message that you receive, but a couple of remarks: - If you are still running Windows 10, you may not be able to go beyond 64 processes due to limitations with Windows Processor Groups: https://bitsum.com/general/the-64-core-threshold-processor-groups-and-windows/ It is still not entirely clear to me personally, if and how Windows 11 handles this and if it allows true unlimited process numbers. There were changes though to this aspect of Windows, but I am still on Windows 10 so can't verify it. - Do you really need processes? If you connect to a database, the database may well turn a threaded application into something close to a processes based multi-processing solution, however allowing you to use threads in your Python application. E.g. in the screenshot below, I am using a concurrent.futures.ThreadPoolExecutor to execute up to 44 threads with SQL statements to generalize data on the database using PostGIS commands. As you can see from the inset of the remote desktop to the server, this pushes the PostgreSQL database to a full 100% CPU usage, without processes.
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03-21-2025
02:29 AM
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If your GPU overheats, then this is not likely a Pro software issue. Laptop CPUs and GPUs need proper cooling but the cooling grating at the end of the copper heatpipes inside a power laptop easily get clogged with dust. It can take just a few months on a brand new laptop with heavy usage of the GPU in a dusty home or office environment, to clog up the cooling grating and cause overheating issues. Open up the laptop and vacuum clean the grating. The fact that the laptop crashes, would also maybe be reason to send it in for warranty. The laptop should detect improper cooling and downgrade the CPU and GPU frequencies causing a slow laptop, but not a full crash.
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03-21-2025
01:56 AM
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Well, this is getting quite a bit of a hack, but an *.mmpk file is just a ZIP file that you can unzip to an empty (new) folder. If you do that, you should see its contents. ArcGIS Pro project file can be unzipped as well. There is likely an *.mmap and *.mapx as part of the unzipped file. When I look at a custom created Mobile Map Package for ESRI's OpenStreetMap vector tile service, I see these files containing a reference to the service as Url/uRI, that you can copy and paste in a browser. That shows a JSON service description, that contains a "defaultStyles" reference to the subfolder with styles (in my case resources/styles) If you subsequently add this subfolder to the Url, it gets you to the JSON style of the service, where you can see the actual layer definitions as JSON items. Whether all of this gets you anywhere nearer to editing the style of your *.mmpk, IDK..., but at least it should give you some insights as to where it gets it's styling.
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10-24-2024
12:00 PM
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Does the package not have some customizable JSON style in it that you could edit in e.g. ESRI's vector style editor or by hand in a text editor? AFAIK, vector tiles are always styled dynamically, and thus require a style file to define its symbology and layers etc. It must be coming from somewhere in the map package... or reference ESRI's navigation style JSON on the web.
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10-24-2024
10:35 AM
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@TimMinter wrote: Data Interoperability extension claimed a successful load after 11 hours 54 minutes (ugh), all on the local machine with no network transfer happening. Considering you were loading 860M records to begin with, that 12 hour FME load doesn't sound to bad if it used database INSERTs (which it likely did, unless FME can use COPY). Database INSERTs are way more expensive in terms of performance than COPY or UPDATEs in PostgreSQL. This is the nature of PostgreSQL and its technical implementation. Your timing calculates to a rate of about 72M records / h, which seems reasonable. My custom multi-threaded code also doesn't get above about 150M INSERTs per hour. About double the rate, but not an order of a magnitude faster or so. Considering Data Interoperability likely has more overhead due to all its inner circuitry, I think it might well be slower than the raw performance I am getting from custom code.
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10-24-2024
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