cancel
Showing results for 
Search instead for 
Did you mean: 
Community Discussions
Connect with fellow community members to discuss general topics related to the Databricks platform, industry trends, and best practices. Share experiences, ask questions, and foster collaboration within the community.
cancel
Showing results for 
Search instead for 
Did you mean: 

com.databricks.backend.common.rpc.SparkDriverExceptions$SQLExecutionException: java.io.IOException:

DMJ
New Contributor

I have been getting this error for the past few days while trying to create a table using parquet or csv options. 

The error is :

com.databricks.backend.common.rpc.SparkDriverExceptions$SQLExecutionException: java.io.IOException: s3a://AKIAJBRYNXGHORDHZB4A:a0BzE1bSegfydr3%2FGE3LSPM6uIV5A4hOUfpH8aFF@databricks-corp-training/common/online_retail/data-001/data.csv at com.databricks.backend.daemon.data.client.DbfsClient.send0(DbfsClient.scala:129) at com.databricks.backend.daemon.data.client.DbfsClient.sendIdempotent(DbfsClient.scala:69) at com.databricks.backend.daemon.data.client.DatabricksFileSystemV1.getFileStatus(DatabricksFileSystemV1.scala:272) at com.databricks.backend.daemon.data.client.DatabricksFileSystem.getFileStatus(DatabricksFileSystem.scala:212) at org.apache.hadoop.fs.FileSystem.isDirectory(FileSystem.java:1777) at org.apache.spark.sql.execution.streaming.FileStreamSink$.hasMetadata(FileStreamSink.scala:60) at org.apache.spark.sql.execution.datasources.DataSource.resolveRelation(DataSource.scala:407) at org.apache.spark.sql.execution.command.CreateDataSourceTableCommand.run(createDataSourceTables.scala:81) at org.apache.spark.sql.execution.command.ExecutedCommandExec.$anonfun$sideEffectResult$1(commands.scala:82) at com.databricks.spark.util.FrameProfiler$.record(FrameProfiler.scala:80) at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult$lzycompute(commands.scala:80) at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult(commands.scala:79) at org.apache.spark.sql.execution.command.ExecutedCommandExec.executeCollect(commands.scala:91) at org.apache.spark.sql.execution.QueryExecution$$anonfun$$nestedInanonfun$eagerlyExecuteCommands$1$1.$anonfun$applyOrElse$3(QueryExecution.scala:256)

My query is:
DROP TABLE IF EXISTS outdoorProductsRaw;
CREATE TABLE outdoorProductsRaw USING csv OPTIONS (
path "/mnt/training/online_retail/data-001/data.csv",
header "true"
)
1 REPLY 1

Kaniz_Fatma
Community Manager
Community Manager

Hi @DMJ, When creating a table, you need to specify the fields (columns) explicitly. In your case, you’re creating a table named outdoorProductsRaw. Make sure to define the columns within the CREATE TABLE statement. For example:

  1. CREATE TABLE IF NOT EXISTS outdoorProductsRaw (
        column_a STRING,
        number INT
    ) USING csv OPTIONS (
        path "/mnt/training/online_retail/data-001/data.csv",
        header "true"
    );
    

    Replace column_a and number with the actual column names from your dataset.

  2. Include a Partition: If you’re using partitioned tables, ensure that you include a partition column. For instance:

    CREATE TABLE IF NOT EXISTS outdoorProductsRaw (
        column_a STRING,
        number INT
    ) USING csv
    PARTITIONED BY (column_a)
    OPTIONS (
        path "/mnt/training/online_retail/data-001/data.csv",
        header "true"
    );
    
  3. Verify that you have the necessary permissions for creating tables and writing to the specified location. Permissions on the Unity Catalog (if applicable) should also be considered.

  4. If you encounter issues related to a managed table already existing, you can use the following workaround:

    dbutils.fs.rm("dbfs:/user/hive/warehouse/SomeData/", True)
    

    This command removes the existing table before re-creating it1.

If you encounter any further issues, feel free to ask for additional assistance! 😊

 
Join 100K+ Data Experts: Register Now & Grow with Us!

Excited to expand your horizons with us? Click here to Register and begin your journey to success!

Already a member? Login and join your local regional user group! If there isn’t one near you, fill out this form and we’ll create one for you to join!