I am currently building a datalake where I run AWS GlueJobs daily to copy data in our database and make them queryable via AWS Athena. Because the schema of the data I fetch changes often, I crawl them regularly with a Glue Crawler. Unfortunately, when I run the crawler two days in a row and the schema changes I get an error about incompatible schemas:
HIVE_CANNOT_OPEN_SPLIT: Error opening Hive split s3://***/raw/itemstore/parquet_flattened/v1/type=articles/year=2019/month=12/day=12/part-00012-13fc8243-cd4e-47b8-8763-56b15ea46e84-c000.snappy.parquet (offset=0, length=32745292): Schema mismatch, metastore schema for row column item__timeline.element has 10 fields but parquet schema has 9 fields
This query ran against the "***" database, unless qualified by the query. Please post the error message on our forum or contact customer support with Query Id: ***
Here is the code for our crawler in cloud formation:
ItemStoreCrawler:
Type: AWS::Glue::Crawler
Properties:
Name: <A STRING>
DatabaseName: !Ref DatabaseName
Configuration: "{\"Version\": 1.0, \"CrawlerOutput\": {\"Partitions\": {\"AddOrUpdateBehavior\": \"InheritFromTable\"},\"Tables\":{\"AddOrUpdateBehavior\":\"MergeNewColumns\"}}}"
Role: !GetAtt CrawlerRole.Arn
TablePrefix: String
Tags:
Platform: !Ref Platform
Maintainer: !Ref Maintainer
ServerType: !Ref ServerType
ServiceName: !Sub ${ProjectName}
Environment: !Ref Environment
Targets:
S3Targets:
- Path: String
My guess is that the schema merging behavior of my crawler is badly set up in the line starting with Configuration
but I cannot find a fix.