Duplicate column resolution heuristic algorithm

AmbiguousColumnResolver contains an algorithm to map query result columns to data objects (POJOs) columns. We call data object columns 'mapping' and in a multimap query where there might be multiple data objects we refer to the list of all their columns 'mappings'. The algorithm uses a grouping / neighboring strategy to assign the duplicate columns to their right data objects matching their name along with taking into account the the nearby columns since in a star-projected query all columns coming from a table will appear in the result before the next table. Room will generate code that uses the algorithm at runtime if the query has a star-projection, if not then Room will use the algorithm during compile-time since the columns result order is known and fixed.

The algorithm does not solve all cases, specifically those where one of the data objects has a single column which is the duplicate column. For those situation Room will warn the user so that they alias the duplicate column. For other odd cases, Room will behave as it used to, picking the first result column that matches with the data object column.

Bug: 201306012
Bug: 212279118
Test: AmbiguousColumnResolverTest
Relnote: Room will now attempt to resolve ambiguous columns in a multimap query. This allows for JOINs with tables containing same-name tables to be correctly mapped to a result data object.
Change-Id: I4b444b042245a334cc3f362f3239721ce0b6bd1e
22 files changed
tree: abdc9fb3439ecba2b8a1c3e79405e750cfac43df
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README.md

Android Jetpack

Revved up by Gradle Enterprise

Jetpack is a suite of libraries, tools, and guidance to help developers write high-quality apps easier. These components help you follow best practices, free you from writing boilerplate code, and simplify complex tasks, so you can focus on the code you care about.

Jetpack comprises the androidx.* package libraries, unbundled from the platform APIs. This means that it offers backward compatibility and is updated more frequently than the Android platform, making sure you always have access to the latest and greatest versions of the Jetpack components.

Our official AARs and JARs binaries are distributed through Google Maven.

You can learn more about using it from Android Jetpack landing page.

Contribution Guide

For contributions via GitHub, see the GitHub Contribution Guide.

Note: The contributions workflow via GitHub is currently experimental - only contributions to the following projects are being accepted at this time:

Code Review Etiquette

When contributing to Jetpack, follow the code review etiquette.

Accepted Types of Contributions

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We are not currently accepting new modules.

Checking Out the Code

Head over to the onboarding docs to learn more about getting set up and the development workflow!

Continuous integration

Our continuous integration system builds all in progress (and potentially unstable) libraries as new changes are merged. You can manually download these AARs and JARs for your experimentation.

Password and Contributor Agreement before making a change

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Generate a HTTPS password: https://android-review.googlesource.com/new-password

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Getting reviewed

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Handling binary dependencies

AndroidX uses git to store all the binary Gradle dependencies. They are stored in prebuilts/androidx/internal and prebuilts/androidx/external directories in your checkout. All the dependencies in these directories are also available from google(), jcenter(), or mavenCentral(). We store copies of these dependencies to have hermetic builds. You can pull in a new dependency using our importMaven tool.