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Posted to issues@spark.apache.org by "Duc Hoa Nguyen (Jira)" <ji...@apache.org> on 2020/12/23 06:55:00 UTC
[jira] [Updated] (SPARK-33888) AVRO SchemaConverts - logicalType
TimeMillis not being converted to Timestamp type
[ https://issues.apache.org/jira/browse/SPARK-33888?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Duc Hoa Nguyen updated SPARK-33888:
-----------------------------------
Description:
We encountered the issue of Avro logical type of `TimeMillis` not being converted correctly to Spark `Timestamp` struct type using the `SchemaConverters`, but it converts to regular `int` instead. Reproducible by ingest data from MySQL table with a column of TIME type: Spark JDBC dataframe will get the correct type (Timestamp), but enforcing our avro schema (`{"type": "int"," logicalType": "time-millis"}`) externally will fail to apply with the following exception:
{{java.lang.RuntimeException: java.sql.Timestamp is not a valid external type for schema of int}}
was:
We encountered the issue of Avro logical type of `TimeMillis` not being converted correctly to Spark `Timestamp` struct type using the `SchemaConverters`, but it converts to regular `int` instead. Reproducible by ingest data from MySQL table with a column of TIME type: Spark JDBC dataframe will get the correct type (Timestamp), but enforcing our avro schema (`{"type": "int","logicalType": "time-millis"}`) externally will fail to apply with the following exception:
{{java.lang.RuntimeException: java.sql.Timestamp is not a valid external type for schema of int}}
> AVRO SchemaConverts - logicalType TimeMillis not being converted to Timestamp type
> ----------------------------------------------------------------------------------
>
> Key: SPARK-33888
> URL: https://issues.apache.org/jira/browse/SPARK-33888
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.4.3, 3.0.0, 3.0.1
> Reporter: Duc Hoa Nguyen
> Priority: Minor
>
> We encountered the issue of Avro logical type of `TimeMillis` not being converted correctly to Spark `Timestamp` struct type using the `SchemaConverters`, but it converts to regular `int` instead. Reproducible by ingest data from MySQL table with a column of TIME type: Spark JDBC dataframe will get the correct type (Timestamp), but enforcing our avro schema (`{"type": "int"," logicalType": "time-millis"}`) externally will fail to apply with the following exception:
> {{java.lang.RuntimeException: java.sql.Timestamp is not a valid external type for schema of int}}
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