asfimport opened a new issue, #230:
URL: https://github.com/apache/arrow-java/issues/230
I encountered this bug when I loaded a dataframe stored in the Arrow IPC
format.
```java
// Java Code from "Apache Arrow Java Cookbook"
File file = new File("example.arrow");
try (
BufferAllocator rootAllocator = new RootAllocator();
FileInputStream fileInputStream = new FileInputStream(file);
ArrowFileReader reader = new
ArrowFileReader(fileInputStream.getChannel(), rootAllocator)
) {
System.out.println("Record batches in file: " +
reader.getRecordBlocks().size());
for (ArrowBlock arrowBlock : reader.getRecordBlocks()) {
reader.loadRecordBatch(arrowBlock);
VectorSchemaRoot vectorSchemaRootRecover =
reader.getVectorSchemaRoot();
System.out.print(vectorSchemaRootRecover.contentToTSVString());
}
} catch (IOException e) {
e.printStackTrace();
}
```
Call stack:
```
Exception in thread "main" java.lang.IndexOutOfBoundsException: index: 0,
length: 2048 (expected: range(0, 2024))
at org.apache.arrow.memory.ArrowBuf.checkIndex(ArrowBuf.java:701)
at org.apache.arrow.memory.ArrowBuf.setBytes(ArrowBuf.java:955)
at
org.apache.arrow.vector.BaseFixedWidthVector.reAlloc(BaseFixedWidthVector.java:451)
at
org.apache.arrow.vector.BaseFixedWidthVector.setValueCount(BaseFixedWidthVector.java:732)
at
org.apache.arrow.vector.VectorSchemaRoot.setRowCount(VectorSchemaRoot.java:240)
at org.apache.arrow.vector.VectorLoader.load(VectorLoader.java:86)
at
org.apache.arrow.vector.ipc.ArrowReader.loadRecordBatch(ArrowReader.java:220)
at
org.apache.arrow.vector.ipc.ArrowFileReader.loadNextBatch(ArrowFileReader.java:166)
at
org.apache.arrow.vector.ipc.ArrowFileReader.loadRecordBatch(ArrowFileReader.java:197)
```
This bug can be reproduced by a simple dataframe created by pandas:
```java
pd.DataFrame({'a': range(10000)}).to_feather('example.arrow')
```
Pandas compresses the dataframe by default. If the compression is turned
off, Java can load the dataframe. Thus, I guess the bounds checking code is
buggy when loading compressed file.
That dataframe can be loaded in polars, pandas and pyarrow, so it's unlikely
to be a pandas bug.
**Environment**: Linux and Windows.
Apache Arrow Java version: 10.0.0, 9.0.0, 4.0.1.
Pandas 1.4.2 using pyarrow 8.0.0 (anaconda3-2022.05)
**Reporter**: [Georeth
Zhou](https://issues.apache.org/jira/browse/ARROW-18198)
<sub>**Note**: *This issue was originally created as
[ARROW-18198](https://issues.apache.org/jira/browse/ARROW-18198). Please see
the [migration documentation](https://github.com/apache/arrow/issues/14542) for
further details.*</sub>
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