matthijseikelenboom opened a new issue, #9148:
URL: https://github.com/apache/iceberg/issues/9148
### Query engine
Spark
### Question
Hi, I have a question about the combined use of Apache Spark and Iceberg.
I'm trying to concurrently write to Iceberg, but I get `Unclose input stream`
exceptions when I'm testing, see below
```
2023-11-23T16:22:03.407+0100 WARN [Thread="Finalizer"]
[o.a.i.h.HadoopStreams :138] Unclosed input stream created by:
org.apache.iceberg.hadoop.HadoopStreams$HadoopSeekableInputStream.<init>(HadoopStreams.java:91)
org.apache.iceberg.hadoop.HadoopStreams.wrap(HadoopStreams.java:55)
org.apache.iceberg.hadoop.HadoopInputFile.newStream(HadoopInputFile.java:183)
org.apache.iceberg.avro.AvroIterable.newFileReader(AvroIterable.java:100)
org.apache.iceberg.avro.AvroIterable.iterator(AvroIterable.java:76)
org.apache.iceberg.io.CloseableIterable$7$1.<init>(CloseableIterable.java:188)
org.apache.iceberg.io.CloseableIterable$7.iterator(CloseableIterable.java:187)
org.apache.iceberg.io.CloseableIterable.lambda$filter$1(CloseableIterable.java:136)
org.apache.iceberg.io.CloseableIterable$2.iterator(CloseableIterable.java:72)
org.apache.iceberg.io.CloseableIterable.lambda$filter$1(CloseableIterable.java:136)
org.apache.iceberg.io.CloseableIterable$2.iterator(CloseableIterable.java:72)
org.apache.iceberg.io.CloseableIterable.lambda$filter$1(CloseableIterable.java:136)
org.apache.iceberg.io.CloseableIterable$2.iterator(CloseableIterable.java:72)
org.apache.iceberg.io.CloseableIterable$7$1.<init>(CloseableIterable.java:188)
org.apache.iceberg.io.CloseableIterable$7.iterator(CloseableIterable.java:187)
org.apache.iceberg.ManifestGroup$1.iterator(ManifestGroup.java:333)
org.apache.iceberg.ManifestGroup$1.iterator(ManifestGroup.java:291)
org.apache.iceberg.util.ParallelIterable$ParallelIterator.lambda$new$1(ParallelIterable.java:69)
java.base/java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:515)
java.base/java.util.concurrent.FutureTask.run(FutureTask.java:264)
java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1128)
java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:628)
java.base/java.lang.Thread.run(Thread.java:829)
```
I first saw these exceptions when using Iceberg with Hadoop. So I tried it
with Hive, hoping that it would be fixed, but that does not seem to be the case.
What am I missing here? Do I need to change some configurations to enable
proper concurrent writing?
Here are the versions of the tools I'm using, in case that may come in handy
Spark version: 3.2.1
Iceberg version: 1.4.2
Hive version: 4.0.0-alpha-2 (The only version we got to work)
Hadoop version: 3.2.2
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