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https://issues.apache.org/jira/browse/ARROW-9555?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Andy Grove updated ARROW-9555:
------------------------------
    Description: 
Here is an overview of how I think we should implement support for equijoins, 
at least for the initial implementation.
 * Read all batches from the left-side of the join into a single 
Vec<RecordBatch>
 * Create a map something like HashMap<Vec<ScalarValue>, Vec<(usize,usize)>> to 
map keys to batch/row indices
 * Iterate over this Vec<RecordBatch> and create an entry in a hash map, 
mapping the join keys to the index of the batch and row in the Vec<RecordBatch>
 * For each input partition on the right-side of the join, return an output 
partition that is an iterator/stream that:
 ** For each input row, evaluate the join keys
 ** Look up those join keys in the hash map
 ** If a match is found:
 *** For each (batch, row) index create an output row which has the values from 
both the left and right row and emit it
 ** If no match is found:
 *** Do not emit a row

> Add inner (hash) join physical plan
> -----------------------------------
>
>                 Key: ARROW-9555
>                 URL: https://issues.apache.org/jira/browse/ARROW-9555
>             Project: Apache Arrow
>          Issue Type: Sub-task
>          Components: Rust - DataFusion
>            Reporter: Jorge Leitão
>            Priority: Major
>              Labels: pull-request-available
>          Time Spent: 40m
>  Remaining Estimate: 0h
>
> Here is an overview of how I think we should implement support for equijoins, 
> at least for the initial implementation.
>  * Read all batches from the left-side of the join into a single 
> Vec<RecordBatch>
>  * Create a map something like HashMap<Vec<ScalarValue>, Vec<(usize,usize)>> 
> to map keys to batch/row indices
>  * Iterate over this Vec<RecordBatch> and create an entry in a hash map, 
> mapping the join keys to the index of the batch and row in the 
> Vec<RecordBatch>
>  * For each input partition on the right-side of the join, return an output 
> partition that is an iterator/stream that:
>  ** For each input row, evaluate the join keys
>  ** Look up those join keys in the hash map
>  ** If a match is found:
>  *** For each (batch, row) index create an output row which has the values 
> from both the left and right row and emit it
>  ** If no match is found:
>  *** Do not emit a row



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