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Add multiple attribute indexes for feature classes or mosaic datasets

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By Aileen Buckley, PhD, Esri Research Cartographer

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Have you ever needed to create multiple indexes for either a feature class or mosaic dataset? The Add Indexes script tools help you speed up that process by automatically creating indexes for the fields you select. The Add Feature Class Indexes script tool adds attribute indexes to an existing feature class or overwrites its existing indexes. The Add Mosaic Dataset Indexes script tool adds attribute indexes to an existing mosaic dataset or overwrites its existing indexes.

Add Mosaic Dataset Indexes tool

For these tools, the list of fields to index is extracted from the feature class or mosaic dataset.

Fields to Index

The indexes will be single column/field indexes, with default characteristics of UNIQUE and ASCENDING. Index naming will follow the recommended naming convention for attribute indexes (that is, FieldName_IDX). The field name in the index will be truncated since the length of an index name is limited to 10 characters, including the _IDX suffix. Vowels will be removed. and names will be reduced to 6 characters, plus _IDX. For example, the index name for a field named Start_Time will be STRT_T_IDX.

Added Attribute Indexes

Duplicate index names may result because of this truncation. If this happens, the index will only be created for the last field with a duplicate name. For example, two fields named Control and Central will both be truncated to CNTRL_, resulting in duplicate index names of CNTRL_IDX. If the first field in the attribute table is Control and the second is Central, an index will be added for the Control field, then it will be deleted when the index is added for the Central field. As a result, the first field will not have an index. This can be created using the standard method after the tool has been used to create the other indexes.

These tools were developed to support the workflow associated with creating historical map collections and sharing them online. Keep an eye on this blog to find out more about when the documentation for that workflow, and associated downloadable resources, will be available. The documentation will include step-by-step instructions for using these tools and the download includes sample data that you can use to test out the workflow and these tools.

To learn more about creating attribute indexes, see desktop.arcgis.com/en/arcmap/latest/manage-data/tables/creating-attribute-indexes.htm.

Thanks to Steven Lambert, Esri, for writing the code for these tools!


Check out Esri’s new tools for managing Planet imagery in ArcGIS

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Planet’s high-resolution satellite constellations image the entire world every single day. Both Planet and Esri aim to provide resources that help users turn this wealth of data into visible, accessible, actionable solutions. That’s why Esri has added tools for managing PlanetScope and RapidEye imagery to its array of free, open-source tools that simplify image management in ArcGIS.

With the Python toolbox for managing Planet imagery, users can create mosaic datasets to manage Planet imagery within the familiar ArcGIS environment. With these scripts, data managers can streamline or automate the creation of scalable mosaic datasets, which can then be shared as image services with internal users or users outside your organization.

Imagery from Planet’s PlanetScope and RapidEye satellite constellations supports numerous applications—including mapping, deep learning, disaster response, precision agriculture, or simple temporal image analytics—which generate rich information products. Once managed with mosaic datasets, it’s straightforward for GIS or image analysts to exploit the temporal aspects of Planet imagery via an image service, to analyze the spectral data to draw actionable conclusions, to use the imagery to provide context within a GIS, and more.

The Python tools work by drawing on the Planet API to query, activate, and download PlanetScope or RapidEye Basic scenes over a given timeframe and area of interest. The imagery is then made accessible to users via the Planet Explorer app or the Planet API.  The Planet toolbox is supported in ArcMap 10.5, and can also be used in ArcGIS Pro.

Ready to get started? Download the Python toolbox for managing Planet imagery, learn more about Planet’s high-resolution imagery, or try ArcGIS’s imagery capabilities with a free 60-day trial of ArcGIS Desktop.

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