commit | 894b0ff2c1b095a46803975f400a561eb974ea28 | [log] [tgz] |
---|---|---|
author | Daniel Santiago Rivera <danysantiago@google.com> | Fri Oct 29 10:56:31 2021 -0700 |
committer | Daniel Santiago Rivera <danysantiago@google.com> | Thu May 12 07:40:18 2022 -0700 |
tree | abdc9fb3439ecba2b8a1c3e79405e750cfac43df | |
parent | 282ef24ce3060be5e7b5f769b9ab4484d3a9de1d [diff] |
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
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