Fokko commented on code in PR #10926:
URL: https://github.com/apache/iceberg/pull/10926#discussion_r1734473138
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core/src/main/java/org/apache/iceberg/hadoop/HadoopFileIO.java:
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@@ -63,7 +63,11 @@ public class HadoopFileIO implements HadoopConfigurable,
DelegateFileIO {
* <p>{@link Configuration Hadoop configuration} must be set through {@link
* HadoopFileIO#setConf(Configuration)}
*/
- public HadoopFileIO() {}
+ public HadoopFileIO() {
+ // Create a default hadoopConf as it is required for the object to be
valid.
+ // E.g. newInputFile would throw NPE with hadoopConf.get() otherwise.
+ this.hadoopConf = new SerializableConfiguration(new Configuration())::get;
Review Comment:
Hey @stevenzwu sorry for not replying here earlier, my mailbox is a bit
swamped. Thanks for tagging me here.
I would suggest taking a look at how this has been solved at Parquet-Java.
Here [another layer called
`ParquetConfiguration`](https://github.com/apache/parquet-java/blob/master/parquet-common/src/main/java/org/apache/parquet/conf/ParquetConfiguration.java)
has been added, which extends `Iterable<Map.Entry<String, String>>`. [Hadoops'
Configuration](https://github.com/apache/hadoop/blob/e4ee3d560bddc27a495cc9a158278a9c18276dd0/hadoop-common-project/hadoop-common/src/main/java/org/apache/hadoop/conf/Configuration.java#L229)
also extends `Iterable<Map.Entry<String, String>>`. At Parquet the main goal
was to decouple from Hadoop, and use
[PlainParquetConfiguration](https://github.com/apache/parquet-java/blob/master/parquet-common/src/main/java/org/apache/parquet/conf/PlainParquetConfiguration.java)
as an alternative way to set the configuration properties. This would be a
good route for Flink as well. This would also help to allow [running without
Hadoop](https://github.com/apache/iceberg/pull/7369), since Hadoop has been
an optional dependency for Flink for quite some time. This way we can serialize
Hadoops `Configuration` into a `Map<String, String>` and deserialize it into
Parquets' PlainParquetConfiguration equivalent, which is probably much more
lightweight.
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