Rebuild archive img tool




















Usage Data must be from a database or an enterprise geodatabase. This tool does not work with file geodatabases. After data loading, deleting, updating, and compressing operations, it is important to rebuild indexes. This tool rebuilds the attribute and spatial indexes of base tables, delta tables, and archive tables in versioned and archive-enabled geodatabases. The Include System Tables parameter determines if indexes are rebuilt on the states and state lineages tables in the specified geodatabase.

When the option is unselected, the indexes on these tables are not rebuilt. If the Include System Tables parameter is unchecked, at least one dataset needs to be selected in the Datasets to Rebuild Indexes For to run the tool. In ModelBuilder, where the preceding tool has not been run or its derived data does not exist, the Datasets to Rebuild Indexes For parameter may not be populated with values. The Add Value button allows you to add expected values so you can complete the dialog box and continue to build your model.

This is the default. ALL — Indexes will be rebuilt on all indexes for the selected datasets. This includes spatial indexes as well as user-created attribute indexes and any geodatabase-maintained indexes for the dataset. This option can be used for cases where the business tables for the selected datasets are not updated often and there is a high volume of edits in the delta tables. Consider removing unnecessary packages to save firmware space.

In addition ABI versioned packages such as libubus or similar may cause problems with image builder. You may get compile errors when these are provided as packages. To avoid issues you should omit them from image builder and let the correct versions be installed via package dependencies. The --strip-abi parameter can be used to export a normalized package list. If there is a custom package or ipk you would prefer to use create a packages directory if one does not exist and place your custom ipk within this directory.

This is especially useful if you need to change the network configuration from default before flashing, or if you are preparing an image for mass-flashing many devices. It is strongly recommended to use uci-defaults to incrementally integrate only the required customization. This helps minimize conflicts with auto-generated settings which can change between versions. After you select the appropriate profile, packages and custom files, pass it to the make image command.

The built image will be found under the subdirectory. To clean up temporary build files and generated images, use the make clean command. See also: ImageBuilder makefile. It is possible to use a buildroot to create your own Image Builder and integrate in it all packages so it will be able to generate images without downloading packages.

You can ignore build errors if you encounter unmaintained packages that fail to compile, assuming this doesn't affect kernel and core dependencies. Don't call make defconfig or leave an old.

As datasets in a geodatabase are edited over time, the indexes may need to be rebuilt for optimal performance. Rebuilding indexes on these datasets can improve index efficiency.

You can use the Rebuild Indexes geoprocessing tool in ArcGIS to rebuild indexes on datasets in an enterprise, workgroup, or desktop geodatabase. The data owner can use this tool to rebuild both attribute and spatial indexes for one or many different datasets at once.

If the table or feature class is registered as versioned, the data owner can rebuild indexes on the base and delta tables or just the delta tables. This option can be used for cases where the business tables for the selected datasets are not updated often and there are a high volume of edits in the delta tables. Import system modules import arcpy arcpy. Parcels" , "ALL". RebuildIndexes example 2 stand-alone script The following example demonstrates how to rebuild indexes in a stand alone script.

Name: RebuildIndexes. GetParameterAsText 0 set the workspace environment arcpy. Get a list of all the datasets the user has access to. First, get all the stand alone tables, feature classes and rasters. ListRasters Next, for feature datasets get all of the datasets and featureclasses from the list and add them to the master list. ListDatasets "" , "Feature" : arcpy.



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