[
https://issues.apache.org/jira/browse/SPARK-25348?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Xiangrui Meng updated SPARK-25348:
----------------------------------
Description:
It would be useful to have a data source implementation for binary files, which
can be used to build features to load images, audio, and videos.
Microsoft has an implementation at
[https://github.com/Azure/mmlspark/tree/master/src/io/binary.] It would be
great if we can merge it into Spark main repo.
cc: [~mhamilton] and [~imatiach]
Proposed API:
Format name: "binary-file"
Schema:
* content: BinaryType
* status (following Hadoop FIleStatus):
* path: StringType
* modification_time: Timestamp
* length: LongType (size limit 2GB)
Options:
* pathFilterRegex: only include files with path matching the regex pattern
* maxBytesPerPartition: The max total file size for each partition unless the
partition only contains one file
We will also add `binaryFile` to `DataFrameReader` and `DataStreamReader` as
convenience aliases.
was:
It would be useful to have a data source implementation for binary files, which
can be used to build features to load images, audio, and videos.
Microsoft has an implementation at
[https://github.com/Azure/mmlspark/tree/master/src/io/binary.] It would be
great if we can merge it into Spark main repo.
cc: [~mhamilton] and [~imatiach]
> Data source for binary files
> ----------------------------
>
> Key: SPARK-25348
> URL: https://issues.apache.org/jira/browse/SPARK-25348
> Project: Spark
> Issue Type: Story
> Components: ML, SQL
> Affects Versions: 3.0.0
> Reporter: Xiangrui Meng
> Assignee: Weichen Xu
> Priority: Major
>
> It would be useful to have a data source implementation for binary files,
> which can be used to build features to load images, audio, and videos.
> Microsoft has an implementation at
> [https://github.com/Azure/mmlspark/tree/master/src/io/binary.] It would be
> great if we can merge it into Spark main repo.
> cc: [~mhamilton] and [~imatiach]
> Proposed API:
> Format name: "binary-file"
> Schema:
> * content: BinaryType
> * status (following Hadoop FIleStatus):
> * path: StringType
> * modification_time: Timestamp
> * length: LongType (size limit 2GB)
> Options:
> * pathFilterRegex: only include files with path matching the regex pattern
> * maxBytesPerPartition: The max total file size for each partition unless the
> partition only contains one file
> We will also add `binaryFile` to `DataFrameReader` and `DataStreamReader` as
> convenience aliases.
--
This message was sent by Atlassian JIRA
(v7.6.3#76005)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
