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Posted to commits@arrow.apache.org by GitBox <gi...@apache.org> on 2020/01/23 20:36:48 UTC

[GitHub] [arrow-site] bkietz commented on a change in pull request #41: ARROW-7580: [Website] 0.16 release post

bkietz commented on a change in pull request #41: ARROW-7580: [Website] 0.16 release post 
URL: https://github.com/apache/arrow-site/pull/41#discussion_r370340520
 
 

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 File path: _posts/2020-01-25-0.16.0-release.md
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 @@ -92,6 +92,33 @@ and result value, rather than taking a pointer-out function parameter
 
 ### C++: Datasets
 
+
+Added support for Arrow IPC files via `IPCFileFormat` (ARROW-7415), and the
+`IN` and `IS_VALID` filter operators (ARROW-7185).
+
+Classes were renamed to avoid the repeated `Data` prefix. The core classes are
+now `Dataset`, `Source`, `Fragment`, and `Partitioning` (ARROW-7498). The dataset
+APIs now use `Result<T>` when returning both a Status and result value, rather
+than taking a pointer-out function parameter (ARROW-7148).
+
+A discovery facility was added to create a `Dataset` and/or `Source` via the
+`DatasetFactory` and `SourceFactory` interfaces. Notably `FileSystemSourceFactory`
+can crawl directories to find the candidates files (`Fragment`) supporting by a
+given `FileFormat`. The factories will also try to unify schemas, transparently
+supporting missing/added columns to the final unified schema. (ARROW-6614,
+ARROW-7061, ARROW-843, ARROW-7380)
+
+A partitioning facility was added to support partition pruning with predicate
+pushdown (ARROW-6494). The partitioning extracts partition from the `Fragment`'s
+path, e.g. `/data/year=2015/month=04/day=29` would extract the `year`, `month`
+and `day` partitions. Partitions can injected in the schema and the RecordBatch
+as materialized columns (ARROW-6965). Add a `PartitioningFactory` discovery
+facility such that types of the `Partitioning`'s schema are inferred if possible.
+
+The `ParquetFileFormat` transparently supports predicate pushdown by ignoring
+RowGroups based on their statistic (ARROW-6952). It also supports column
 
 Review comment:
   ```suggestion
   RowGroups based on their statistics (ARROW-6952). It also supports column
   ```

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