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https://issues.apache.org/jira/browse/BEAM-7925?focusedWorklogId=481033&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-481033
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ASF GitHub Bot logged work on BEAM-7925:
----------------------------------------

                Author: ASF GitHub Bot
            Created on: 09/Sep/20 20:01
            Start Date: 09/Sep/20 20:01
    Worklog Time Spent: 10m 
      Work Description: danielxjd commented on a change in pull request #12786:
URL: https://github.com/apache/beam/pull/12786#discussion_r485887994



##########
File path: 
sdks/java/io/parquet/src/main/java/org/apache/beam/sdk/io/parquet/ParquetIO.java
##########
@@ -135,6 +135,20 @@
  * ...
  * }</pre>
  *
+ * <p>Reading with projection can be enabled with the projection schema as 
following. Splittable
+ * reading is enabled when reading with projection. The projection_schema 
contains only the column
+ * that we would like to read and encoder_schema contains the schema to encode 
the output with the
+ * unwanted columns changed to nullable. Partial reading provide increase of 
reading time due to

Review comment:
       should be decrease




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Issue Time Tracking
-------------------

    Worklog Id:     (was: 481033)
    Time Spent: 2h 50m  (was: 2h 40m)

> ParquetIO supports neither column projection nor filter predicate
> -----------------------------------------------------------------
>
>                 Key: BEAM-7925
>                 URL: https://issues.apache.org/jira/browse/BEAM-7925
>             Project: Beam
>          Issue Type: Improvement
>          Components: io-java-parquet
>    Affects Versions: 2.14.0
>            Reporter: Neville Li
>            Priority: P2
>          Time Spent: 2h 50m
>  Remaining Estimate: 0h
>
> Current {{ParquetIO}} supports neither column projection nor filter predicate 
> which defeats the performance motivation of using Parquet in the first place. 
> That's why we have our own implementation of 
> [ParquetIO|https://github.com/spotify/scio/tree/master/scio-parquet/src] in 
> Scio.
> Reading Parquet as Avro with column projection has some complications, 
> namely, the resulting Avro records may be incomplete and will not survive 
> ser/de. A workaround maybe provide a {{TypedRead}} interface that takes a 
> {{Function<A, B>}} that maps invalid Avro {{A}} into user defined type {{B}}.



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