apache/hadoop · error · HadoopIllegalArgumentException

No enough valid inputs are provided, not recoverable

Error message

No enough valid inputs are provided, not recoverable

What it means

Error "No enough valid inputs are provided, not recoverable" thrown in apache/hadoop.

Source

Thrown at hadoop-common-project/hadoop-common/src/main/java/org/apache/hadoop/io/erasurecode/rawcoder/ByteBufferDecodingState.java:119

    for (ByteBuffer buffer : buffers) {
      if (buffer == null) {
        continue;
      }

      if (buffer.remaining() != decodeLength) {
        throw new HadoopIllegalArgumentException(
            "Invalid buffer, not of length " + decodeLength);
      }
      if (buffer.isDirect() != usingDirectBuffer) {
        throw new HadoopIllegalArgumentException(
            "Invalid buffer, isDirect should be " + usingDirectBuffer);
      }

      validInputs++;
    }

    if (validInputs < decoder.getNumDataUnits()) {
      throw new HadoopIllegalArgumentException(
          "No enough valid inputs are provided, not recoverable");
    }
  }

  /**
   * Check and ensure the buffers are of the desired length and type, direct
   * buffers or not.
   * @param buffers the buffers to check
   */
  void checkOutputBuffers(ByteBuffer[] buffers) {
    for (ByteBuffer buffer : buffers) {
      if (buffer == null) {
        throw new HadoopIllegalArgumentException(
            "Invalid buffer found, not allowing null");
      }

      if (buffer.remaining() != decodeLength) {
        throw new HadoopIllegalArgumentException(

View on GitHub (pinned to 2add963021)

Solutions

1. Provide at least numDataUnits valid (non-erased) input blocks; with more erasures than parity units the data is unrecoverable.
2. Check erasedIndexes against available inputs before decoding and restore or re-read missing blocks.

When it happens

Trigger: Thrown at hadoop-common-project/hadoop-common/src/main/java/org/apache/hadoop/io/erasurecode/rawcoder/ByteBufferDecodingState.java:119 when the library encounters an invalid state.

Common situations: Occurs when too many input blocks are erased or null for decoding to recover the data. Ensure the number of erased units does not exceed the number of parity units before decoding.

AI-assisted analysis of apache/hadoop@2add963021 (2026-08-22). Data as JSON: /api/errors/d262436109b643dd. Report an issue: GitHub.