apache / apache/arrow-java

java.lang.NoSuchMethodError: java.nio.ByteBuffer.position(I)Ljava/nio/ByteBuffer

Open
#966 2 comments 0 reactions 0 assignees View on GitHub
Type: bug
Dominant language
Java
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94
Forks
152
Avg merge
3d 16h
Merged PRs (30d)
11

Description

### Describe the bug, including details regarding any error messages, version, and platform.

We are experiencing a compatibility issue when using the arrow-java 17.0.0 library in a Spark application deployed on a Java 1.8 runtime environment.

java.lang.NoSuchMethodError: java.nio.ByteBuffer.position(I)Ljava/nio/ByteBuffer;

    at org.apache.arrow.memory.ArrowBuf.setBytes(ArrowBuf.java:847)
    at org.apache.arrow.memory.ArrowBuf.setBytes(ArrowBuf.java:899)
    at org.apache.arrow.vector.BaseVariableWidthVector.setSafe(BaseVariableWidthVector.java:1193)
    at org.apache.spark.sql.execution.arrow.StringWriter.setValue(ArrowWriter.scala:256)
    at org.apache.spark.sql.execution.arrow.ArrowFieldWriter.write(ArrowWriter.scala:135)
    at org.apache.spark.sql.execution.arrow.ArrowWriter.write(ArrowWriter.scala:100)

The error indicates that the arrow-java JAR file contains bytecode that references the ByteBuffer.position(int)
method with a return type of Ljava/nio/ByteBuffer.

This specific method signature was introduced in JDK 9 as part of the covariance changes in ByteBuffer.

In JDK 8, the same method returns Ljava/nio/Buffer.

Seems library being compiled with a newer JDK (9 or above)
without specifying the correct cross-compilation flags (-release or -bootclasspath).
Without these flags, the compiler uses its own (newer) API signatures,
making the resulting bytecode incompatible with older JVMs.

It is possible comple library with proper flags and put it to maven repository?

Contributor guide

Open the contributing guide

Research direction

Start at the ArrowBuf.setBytes stack frame and the arrow-java 17.0.0 build configuration, then inspect the generated bytecode's use of java.nio.ByteBuffer.position(int) against the Java 8 API. Done means the library can run in the reported Java 1.8 Spark environment without this NoSuchMethodError, with the relevant build or compatibility checks passing.

Written by the indexing model from the issue text.

Assessment

Tech stack
java
Domain
build-system
Issue type
Bug
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Mostly clear
Newbie friendliness
35/100

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