AWS Glue load new partitions from ETL job fails

Question

I'm trying to use an ETL job to directly write my dataframe to a database catalog and update my partitions.

I had a code like this :

datasink4 = glueContext.write_dynamic_frame.from_options(
    frame = dropnullfields3, 
    connection_type = "s3", 
    connection_options = {
       "path": TARGET_PATH, 
       "partitionKeys":["x", "y"]
    },
    format = "parquet", 
    transformation_ctx = "datasink4")

additionalOptions = {"enableUpdateCatalog": True}
additionalOptions["partitionKeys"] = ["x", "y"]


sink = glueContext.write_dynamic_frame_from_catalog(frame=dropnullfields3, 
  database=DATABASE, 
  table_name=TABLE, 
  transformation_ctx="write_sink", 
  additional_options=additionalOptions)

which worked to write the data into the catalog. However I would like to avoid the double write. So I followed the method 2 from the documentation to update partitions : https://docs.aws.amazon.com/glue/latest/dg/update-from-job.html

And came with this code :

datasink4 = glueContext.write_dynamic_frame.from_options(
    frame = dropnullfields3, 
    connection_type = "s3", 
    connection_options = {
       "path": TARGET_PATH, 
       "partitionKeys":["x", "y"]
    },
    format = "parquet", 
    transformation_ctx = "datasink4")

sink = glueContext.getSink(connection_type="s3", path=TARGET_PATH,
                           enableUpdateCatalog=True,
                           partitionKeys=["x", "y"])
sink.setFormat("glueparquet")
sink.setCatalogInfo(catalogDatabase=DATABASE, catalogTableName=TABLE)
sink.writeFrame(dropnullfields3)

But now the data can't be loaded in Athena, I get strange errors about the data structure like this :

HIVE_METASTORE_ERROR: com.facebook.presto.spi.PrestoException: Error: < expected at the end of 'struct' (Service: null; Status Code: 0; Error Code: null; Request ID: null)

I have tried to recreate the table to have only the new files in glueparquet.

I have also tried to run a crawler on the new glueparquet files, the table generated from the crawler can be queried. However when I fill the same table from the ETL job above I get always this error...

Can you try writing the data into different path using method 2 and then compare the table metadata and parquet metadata to see what causing the issue — Prabhakar Reddy

Eva Lacy Eva Lacy · Accepted Answer · 2021-01-19T19:01:26

You want to change the classification for the table to glueparquet

CREATE EXTERNAL TABLE `table_name`(
 ...
)
PARTITIONED BY ( 
  ...
)
ROW FORMAT SERDE 
  'org.apache.hadoop.hive.ql.io.parquet.serde.ParquetHiveSerDe' 
STORED AS INPUTFORMAT 
  'org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat' 
OUTPUTFORMAT 
  'org.apache.hadoop.hive.ql.io.parquet.MapredParquetOutputFormat'
LOCATION
  's3://cortisol-beta-log-bucket/service_log/'
TBLPROPERTIES (
  'classification'='glueparquet')

or in CDK you need to set the dataFormat as follows:

dataFormat: new DataFormat({
                inputFormat: InputFormat.PARQUET,
                // Have to explicitly specify classification string to allow glue jobs to add partitions
                classificationString: new ClassificationString("glueparquet"),
                outputFormat: OutputFormat.PARQUET,
                serializationLibrary: SerializationLibrary.PARQUET
            }),

then you can just use the code below and it will work with athena:

glueContext.write_dynamic_frame.from_catalog(
    frame=last_transform,
    database=args["GLUE_DATABASE"],
    table_name=args["GLUE_TABLE"],
    transformation_ctx="datasink",
    additional_options={"partitionKeys": partition_keys, "enableUpdateCatalog": True},
)

AWS Glue load new partitions from ETL job fails

1 Answers