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漏洞

The error messages, "Error 01246: Failed to import cache." and "Failed to execute (ImportMapServerCache)." are returned while running the Import Map Server Cache tool in ArcGIS Pro when connecting to ArcGIS Enterprise on Kubernetes.

ArcGIS Enterprise on Kubernetes
漏洞 ID 编号 BUG-000162510
已提交October 31, 2023
上次修改时间June 5, 2024
适用范围ArcGIS Enterprise on Kubernetes
找到的版本11.0
操作系统Windows OS
操作系统版本10.0 64 Bit
状态Known Limit

附加信息

The Import Map Server Cache tool is built for helping build community basemaps through collaboration. This tool is designed for importing caches for area of interest into existing cache services. This is not a recommended workflow for migrating content between platforms.

解决办法

It is recommended to bring in an object store of choice and register it as a data store for use as an additional cache store using the steps listed below.

  1. Copy existing caches on the Microsoft Windows or Linux file system to the desired object store in the cloud, such as Amazon S3, Azure Blob store, Google Cloud store , Alibaba OSS or any S3 compatible object store provider (inside a folder named arcgiscache). The cache can be copied to these object stores using APIs provided by the cloud provider to help copy faster. For example: aws s3 cp myDir s3://mybucket/ --recursive
  2. Register the object store in the cloud as a cloud datastore in ArcGIS Enterprise on Kubernetes using administrator or publisher credentials. Refer to https://enterprise-k8s.arcgis.com/en/latest/share/add-data-store-item.htm#ESRI_SECTION1_6ABF63181E71487B8ABC041618E6378E for more information.
  3. Using ArcGIS Pro, publish a map service on ArcGIS Enterprise on Kubernetes, using the same name as the cached content copied to the cloud store, and select the option to use an existing cache. Refer to https://pro.arcgis.com/en/pro-app/3.1/help/sharing/overview/configure-map-image-layer.htm for more information. The map service is supposedly able to render using the cache in the cloud store.

重现步骤

漏洞 ID: BUG-000162510

软件:

  • ArcGIS Enterprise on Kubernetes

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