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We just deployed GeoEvent, GeoAnalytics, and the Spatiotemporal Big Data Store (SBDS) deployed and I ran into an anomaly when while trying them out. In GeoEvent I'm reading in CSV data that has geometry in lat/long format, and then I want to store the results in a SBDS layer for use in analysis later. On my first attempt, I chose the defaults when creating the SBDS layer in GeoEvent Manager, which means it is created as WGS84. Once I got some sample data loaded, I tried to use GeoAnalytics to create space time cubes out of it, but I got the warning that the layer needs to be in a projected coordinate system. So, back to the drawing board. I figured I needed to recreate the SBDS layer with a projected coordinate system (at my office we use one of the US State Plane formats). When I went back and tried to create a new SpatioTemporal Data Source, I saw there are options to define the coord system of the Map & Feature services attached to the data source, but no option to define the coord system of the underlying data. I went ahead and tried this option to have the services in State Plane, but the result were services that were still in WGS 84, and when I look at the JSON results of the web service I see the coordinates are still lat/long. So here are my questions? 1) Am I right in thinking I should store data in the SBDS in the same coordinate system as the rest of our organization to avoid "projection on the fly" processing overhead during analysis. 2) If so, how do I define the coord system of the spatiotemporal layer? And then how do I get the lat/long feed to go into the data source properly? Thanks for any help you can provide, Andrew
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10-11-2018
12:16 PM
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I want to get a report of all groups in AGOL and their user count via the ArcGIS API for Python. I cannot figure out how to get the gis.groups.search() function to return all groups. All the Esri examples have some sort of text filter applied. The code I'm running from the ArcGIS Pro Python window is below. At first I tried using the syntax gis.groups.search(), but this returns the error RuntimeError: Unable to perform group search.'q' parameter must be specified. Then I tried gis.groups.search('*'), which ran without error, but the result is an empty set. Sample code run from ArcGIS Pro Python window: from arcgis.gis import GIS gis = GIS("https://myorg.maps.arcgis.com",clientid='myclientid') all_groups = gis.groups.search() for group in all_groups: members = group.get_members() print(str(len(members)))
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06-13-2018
07:26 AM
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No, I have just started working with ArcGIS Enterprise for the first time in a sandbox server. I didn't want to start hacking it on day one before I started exploring. I've also heard that vector tile hosted layers rely on the package item for the data when users view it, so I'm leery to start deleting data from the back end.
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01-25-2018
03:19 PM
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Hello, I'm curious if anyone has instructions or tips for generating self-signed certificates for use with development deployments of ArcGIS Enterprise within an AWS VPC? I'm brand new to AWS and I just want to test the platform, so I don't want to have to procure a CA certificate. We deployed an Enterprise machine in our on-premise data center using a domain certificate, which is good enough for early testing. In AWS, I want the enterprise stack to be behind the VPC network, so no public DNS name required. I tried using Route53 to create a domain name (which I intend to use just inside the VPC), and then using AWS Certificate Manager to generate a certificate for that domain. But after the CNAME value is added to the domain in Route 53, the certificate never gets verified... after an overnight wait it still said "Pending Verification." I ran into this issue while tinkering with the new ArcGIS Enterprise Cloud Builder CLI for AWS. The tool requires you to have a certificate prior to creating the EC2 Instances and deploying the Esri images. The Route 53 / AWS Certificate Manager process described above was just to do generate something that would allow the install to complete, but no luck. I also tried downloading OpenSSL and generating a self signed certificate that way, but the Esri CLI / AWS returned an error when I used it. I know self signed certificates are not for production, and I can figure that out later. Right now I just want to test deploying the software in an automated way using Esri's tools, and doing some basic performance tests. -Andrew
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01-22-2018
07:27 AM
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Although optimized hosted feature layers were added as an option to AGOL this year, the documentation has the following caveat: "The basemap on which the feature layer is drawn must use the Web Mercator Auxiliary Sphere projection (such as Esri default basemaps) to see improved drawing times. When the layer is added to basemaps with projections other than Web Mercator Auxiliary Sphere, the layer is loaded without optimization." This means organizations that have standardized on other projections cannot take advantage of this feature. Please make this feature compatible with all projections.
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12-27-2017
08:08 AM
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Also you mention that I could delete the .sd files after the layer is published via a script. I tried deleting the .sd file via the Portal user interface but it gives the error message "This item cannot be deleted until these dependent layers are deleted:" then it lists the hosted feature layer name. That lead me to believe the .sd file was used by the hosted feature layer service. Do you think a backend script would avoid this same error message?
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12-27-2017
07:55 AM
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Thank you, Jonathan. This explanation really helped.
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12-27-2017
06:20 AM
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Thanks for the clarification. In our existing pre-Enterprise architecture we have ~600 feature classes on an Oracle SDE referenced by our ArcGIS Desktop users and our ArcGIS Server web applications. As we start to look at Enterprise, I've heard mumblings that migrating the SDE layers to data store hosted feature layers would increase performance and/or scalability...provided the data store server had very fast disk read/write speed. Ultimately we can size the portal server to be bigger to handle the .SD files if need be if the hosted feature layers perform better than RDBMS registered feature layers.
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12-22-2017
12:30 PM
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Thanks for the link. My concern is the .SD file that persists on Portal is really big...like the size or the data that was loaded up. Multiply that by 100's of layers and it's a lot of space used up by data that's not actively being used. I'm guessing the large .sd file is just an artifact of how the service and the data make their way from the Pro user to Enterprise. Pro puts everything in the .sd file for upload to the server, then the server extracts the data and places it in the data store. What seems to be missing is removing the data from the .sd file after. My example was a 3GB contour layer, which is an extreme, but multiplying this for 100's of smaller hosted feature layers seems like a waste of space on the portal server.
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12-22-2017
12:18 PM
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When a Pro user loads a feature class into ArcGIS Enterprise as a hosted feature layer, where is the bulk of the data actually stored? In my example I am using the option "Copy all data" and using the Feature Layer type. It was my impression that the data would reside in the relational data store. However, when I test this on my sandbox ArcGIS Enterprise deployment, I see very large .sd files created under the Portal install folder at C:\arcgis\arcgisportal\content\items. Is this .sd file the source that is actually read when users view data on a map? And if so, then what is being stored in the data store?
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12-22-2017
11:46 AM
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Hello, I'm curious if anyone has experience auto-scaling a multi-tier ArcGIS Enterprise on Azure or AWS? If so, what instance types do you use for your Federated GIS Server? I see in the Enterprise Cloud Builder for Azure that Esri defaults to D2_v2's (2 core 7GB RAM) for the 2 Web Adapters, and then DS3_v2's (4 core 14GB RAM) for the Portal, ArcGIS Server, and Relational Data Store. I had initially been looking at the latest computing instances, namely AWS c5.xlarge (4 core and 8GB RAM) or Azure's F4s_v2 that advertise really fast data retrieval speeds. These have less RAM per core than the general compute instances, but they are much cheaper, and I figured with auto-scaling the RAM bottleneck could be mitigated. Thanks for any help you can provide, Andrew
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11-21-2017
12:22 PM
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What are the minimum server hardware specs for Insights (# cores, RAM, storage)? This would be a small proof of concept deployment with 10 users. Also, for larger production setups with 100+ users is it usually deployed on a dedicated server separate from Portal. Thank you -Andrew
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07-18-2017
07:25 AM
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Has anyone been able to label a GeoEvent streaming layer with the Javascript API? I found a property on the streamlayer, but I can't seem to get it to work. Here's the link to the API Reference that shows it as a property StreamLayer | API Reference | ArcGIS API for JavaScript 3.20 To test it, I tried to incorporate that code into the Seattle Bus Sample page Esri has at Stream Layer | ArcGIS API for JavaScript 3.20 , but it seemed to break the code and web map stopped drawing. I was just trying to get the points to label with the BusNo field value.
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03-07-2017
08:49 AM
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Forgot to mention, I'm using the new ArcGIS Pro 1.4.
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01-18-2017
09:06 AM
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Is there some trick to getting LAS (or LAS Dataset) data in ArcGIS Pro to display as a 3D surface in 3D Scene? In my table of contents the LAS file will appear under "3d Layers" group when I display it as just points and the points appear in 3D as expected, but if I modify the symbology to display it as a surface, then the layer moves down into the "2D Layers" section of the table of contents. At that point the layer is "flattened" so there is no 3D extrusion for the ground elevation and buildings in the source LAS file. I'd like to display my las data as a TIN looking solid surface in my scene if that's possible. Would also like to try publishing that solid surface to ArcGIS Online, but that's another challenge. I think right now only raster, 3D polygon, 3D point, and 3D point clound are supported as hosted feature types. Thank you, Andrew
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01-18-2017
09:05 AM
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