PySpark环境下SparkDL库导入错误求助（Spark 1.6.3）

Hey there! Let's work through this error you're hitting when trying to import readImages from sparkdl in Spark 1.6.3. I've seen similar issues before, so here are the most likely fixes to get you back on track with your image classification project:

1. Check SparkDL-Spark Version Compatibility #

SparkDL (Spark Deep Learning) has strict version alignment with Spark. The latest SparkDL versions only support Spark 2.x and above, but you're running Spark 1.6.3. You need a SparkDL release built specifically for Spark 1.6.x.

• Fix: Uninstall your current SparkDL and install the compatible 0.1.0 version:

  pip uninstall sparkdl -y
  pip install sparkdl==0.1.0
  

2. Resolve Temporary File Path/Permission Issues #

Your error references a temp file in C:\Users\HP\AppData\Local\Temp\...—this often means Spark is having trouble accessing or writing to the default temp directory.

• Fixes:
  • Launch PySpark with a custom temp directory that your user account has full read/write access to:

    pyspark --conf spark.local.dir=C:\your\custom\tmp\folder
    

  • Double-check that you don't have any security software blocking access to the temp folder.

3. Load SparkDL Dependencies Directly in PySpark #

Sometimes local pip installs don't play nicely with Spark's classpath. Using Spark's --packages flag ensures all required dependencies are loaded correctly.

• Fix: Start PySpark with the Maven package for Spark 1.6-compatible SparkDL:

  pyspark --packages databricks:spark-deep-learning:0.1.0-spark1.6
  

  This will automatically download and configure the right version of SparkDL and its dependencies for your Spark environment.

4. Ensure Python Environment Consistency #

PySpark might be using a different Python interpreter than the one where you installed Keras, TensorFlow, and SparkDL—this leads to missing dependency errors.

• Fixes:
  • Specify your target Python executable when starting PySpark:

    pyspark --conf spark.pyspark.python=C:\path\to\your\python.exe
    

  • Verify the PYSPARK_PYTHON environment variable is set to the Python version with all your installed dependencies.

内容的提问来源于stack exchange，提问作者Seeker90