IndexOutOfBoundsException when loading compressed IPC format

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)

_{**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.*}

Beginne bei ArrowReader.loadRecordBatch und verfolge den Stack über VectorLoader, VectorSchemaRoot.setRowCount und BaseFixedWidthVector.reAlloc. Reproduziere das Problem mit dem bereitgestellten komprimierten pandas-Feather-Beispiel, vergleiche es mit einer unkomprimierten Datei und überprüfe, dass das Laden des komprimierten DataFrames ohne die IndexOutOfBoundsException abgeschlossen wird.

Vom Indexierungsmodell aus dem Issue-Text verfasst.