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AGIS data administrator is creating new feature classes within an enterprise geodatabase using the following workflow:
* Five feature classes are added to a feature dataset
* The feature dataset is registered as versioned without the move-edits-to-base option
* Then another feature class is added to the same feature dataset
Users receive error messages when trying to edit any of the feature classes within the feature dataset.
What should the administrator do?
Scenario Overview:
Five feature classes are added to a feature dataset, which is registered as versioned without the move-edits-to-base option.
Afterward, another feature class is added to the same feature dataset.
Users encounter errors when trying to edit any feature class in the feature dataset.
Cause of the Problem: When a feature dataset is registered as versioned, all feature classes within it must maintain consistency in their versioning state. Adding a new feature class to a previously versioned feature dataset can disrupt the synchronization, causing errors during editing.
Solution:
Unregister as versioned on the feature dataset: This removes versioning from all feature classes in the dataset, resetting their versioning state.
Register the feature dataset as versioned again: This ensures all feature classes, including the newly added one, are correctly registered with the same versioning state. (ArcGIS Documentation: Registering Datasets as Versioned)
Alternative Options:
Option B: Registering the feature dataset again would not resolve the issue because versioning conflicts persist unless the entire feature dataset is unregistered and re-registered.
Option C: Switching to the move-edits-to-base option is unnecessary and alters the editing workflow, which may not align with the current setup or user needs.
Thus, the administrator should unregister the feature dataset as versioned and re-register it to resolve the errors.
All editors reconcile and post their versions daily. Other users create read-only versions for analysis purposes, so they do not reconcile and post those versions. The geodatabase administrator compresses the geodatabase nightly. For several months, performance steadily worsens.
Which action should be taken?
Scenario Overview:
Editors reconcile and post daily, but read-only versions created for analysis are not reconciled or posted.
The geodatabase is compressed nightly, but performance continues to degrade.
Cause of the Problem:
Unreconciled versions, including read-only ones, persist in the state tree, preventing the geodatabase compression from fully collapsing unused states.
Over time, this results in a bloated state tree and worsened performance.
Solution:
Reconciling and posting the read-only versions ensures that the state tree is cleared of unnecessary versions, enabling compression to collapse the database to its optimal state.
(ArcGIS Documentation: Reconcile and Post)
Alternative Options:
Option B: Creating a database view provides a read-only representation of data but does not address the underlying issue of unresolved states in the state tree.
Option C: Disabling editor tracking is unrelated to state tree performance issues and has no impact on the reconciliation or compression processes.
Therefore, reconciling the read-only versions will significantly improve performance.
Slow performance is observed on a query of an indexed attribute on a large feature class in an enterprise geodatabase.
* A SOL trace reveals that the attribute index is not being used in the query
* The indexed attribute values have a high degree of uniqueness
* The delta tables do not have very many rows
Which tool should be used to resolve this issue?
When experiencing slow performance on a query of an indexed attribute in a large feature class within an enterprise geodatabase, and a SQL trace reveals that the attribute index is not being utilized despite the attribute values having a high degree of uniqueness and the delta tables containing few rows, the appropriate action is to rebuild the indexes.
Understanding Indexes in Enterprise Geodatabases:
Indexes are critical for enhancing query performance in databases. They allow the database management system (DBMS) to locate and retrieve data efficiently. Over time, as data is inserted, updated, or deleted, indexes can become fragmented or outdated, leading to suboptimal query performance.
ARCGIS PRO
Rebuilding Indexes:
The Rebuild Indexes tool in ArcGIS Pro is designed to rebuild existing attribute or spatial indexes in enterprise geodatabases. This process reorganizes the index structure, ensuring that the DBMS can effectively utilize the indexes during query execution.
ARCGIS PRO
Steps to Rebuild Indexes:
Access the Rebuild Indexes Tool:
In ArcGIS Pro, navigate to the Analysis tab and click on Tools.
In the Geoprocessing pane, search for and select the Rebuild Indexes tool.
Configure the Tool Parameters:
Input Database Connection: Specify the connection to your enterprise geodatabase.
Include System Tables: Decide whether to include system tables in the rebuild process. Including system tables can help maintain the overall health of the geodatabase but may increase processing time.
Execute the Tool:
Click Run to initiate the index rebuilding process. Monitor the progress and ensure the process completes without errors.
Alternative Options:
Compress Geodatabase: The Compress operation reduces the size of the geodatabase by removing redundant states and versions. While it can improve performance, it doesn't directly address index fragmentation.
Analyze Datasets: The Analyze Datasets tool updates database statistics, which helps the DBMS optimize query execution plans. However, if indexes are fragmented, analyzing datasets alone may not resolve performance issues.
Given the symptoms described---specifically, the attribute index not being used in queries---the most effective solution is to rebuild the indexes to ensure they are properly structured and utilized by the DBMS during query execution.
A user wants to share a frequently edited points feature class as a web layer. The points contain sensitive attributes and will be read-only for online viewers.
The following workflow is applied:
* Points is registered as versioned
* A standard database view is created for points, which hides the sensitive attributes
* The view is published as a web layer from the Default version
As the points feature class is edited throughout the week, edits are not visible in the web layer.
What should the GIS administrator do?
The issue arises because the standard database view is based on the base table of the points feature class, which does not include edits made in child versions. To resolve this, the database view must reference a versioned view to reflect changes in the Default version.
1. What Is a Versioned View?
A versioned view is created when a feature class is registered as versioned.
It allows querying and editing versioned data, including edits made in the Default version and child versions.
A standard database view does not account for the Adds and Deletes delta tables used in versioning, which is why edits are not visible.
2. Why Alter the View to Use a Versioned View?
By modifying the standard database view to reference the versioned view, the published web layer will reflect changes made in the Default version, including ongoing edits.
This ensures that updates to the points feature class are visible in the web layer without requiring manual intervention.
3. Why Not Other Options?
Have All Editors Reconcile and Post Points Edits to Default:
While this ensures edits are moved to the Default version, it requires continuous manual reconciliation and posting, which is impractical for a frequently edited dataset.
Rebuild Indexes and Calculate Database Statistics on Points:
These actions improve query performance but do not address the core issue of the standard view not reflecting versioned edits.
Steps to Alter the View:
Identify the versioned view associated with the points feature class. It typically has a name like points_EVW.
Modify the SQL for the existing view to reference the versioned view:
CREATE OR REPLACE VIEW points_web AS
SELECT <fields> FROM points_EVW;
Update the web layer to use the modified view as the data source.
Test the web layer to confirm that edits made to the Default version are now visible.
Reference from Esri Documentation and Learning Resources:
Publishing Data from Views
Conclusion:
To ensure edits made to the points feature class are visible in the web layer, the database view should be altered to reference the versioned view, which accounts for edits in the Default version.
An organization needs to edit GIS data using web services. The data must be stored locally in the organization's servers. Specific business fields must be indexed in the database to help with performance.
Which storage should be used for the data?
Comprehensive Detailed Step-by-Step Explanation with All Enterprise Geodata Reference:
An Enterprise geodatabase is the most appropriate choice for this scenario due to the following reasons:
1. Requirement to Store Data Locally on Organization's Servers
An Enterprise geodatabase allows organizations to store GIS data locally in their own database management systems (DBMS), such as PostgreSQL, SQL Server, or Oracle.
This meets the requirement of maintaining control over data storage and ensuring the data resides within the organization's infrastructure.
2. Editing GIS Data via Web Services
Enterprise geodatabases seamlessly integrate with ArcGIS Server, enabling data editing via web services.
Organizations can publish feature services to allow authorized users to edit GIS data in real-time or in a disconnected environment (via sync).
These services support advanced editing workflows, including versioning and conflict resolution.
3. Indexing Specific Business Fields for Performance
Enterprise geodatabases offer robust indexing options to enhance query and editing performance.
You can:
Create attribute indexes on fields that are frequently queried.
Use spatial indexes to improve the speed of spatial queries.
This level of customization helps meet the performance demands of specific business workflows.
4. Advantages Over Other Storage Options
File Geodatabase:
While it is suitable for smaller datasets and local storage, it does not support multi-user editing, integration with web services, or advanced indexing for business fields.
Hosted Relational Database:
This option is part of ArcGIS Online or ArcGIS Enterprise managed services and stores data in the cloud, which contradicts the requirement for local storage.
It also does not provide the same level of control or indexing capabilities as an enterprise geodatabase.
Reference from Esri Documentation and Learning Resources:
Enterprise Geodatabases---ArcGIS Pro Documentation
Configuring Indexes in Geodatabases
Publishing Feature Services for Editing
Conclusion:
An Enterprise geodatabase not only meets all the stated requirements (local storage, web service editing, and indexed fields for performance) but also provides additional scalability, security, and multi-user editing capabilities.
