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Currently, we can't use the logical types defined in java JDBC IO in XLang pipelines for JDBC IO in Go SDK as it throws the following error:
unmarshalling coder jFYvjSCanTRowCoder_length_prefixed_windowed unmarshalling coder jFYvjSCanTRowCoder_length_prefixed cannot convert schema field role_name to field caused by: unknown logical type: beam:logical_type:javasdk:v1
This is the structure of table and its corresponding struct:
// roles=> CREATE TABLE roles( // role_id serial PRIMARY KEY, // role_name VARCHAR (255) UNIQUE // ); type JdbcTestRow struct { Role_id int32 `beam:"role_id"` Role_name string `beam:"role_name"` }
Similar error seems to be appearing on Python SDK pipeline based on this stack overflow question: (https://stackoverflow.com/questions/68758361/error-beamlogical-typejavasdkv1-while-using-apache-beam-io-jdbc-readfromjdbc)
Imported from Jira BEAM-13717. Original Jira may contain additional context. Reported by: riteshghorse.
The text was updated successfully, but these errors were encountered:
Logical types are now support on Python (char/varchar/binary/varbinary/decimal/timestamp), go support is not yet planned
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Currently, we can't use the logical types defined in java JDBC IO in XLang pipelines for JDBC IO in Go SDK as it throws the following error:
This is the structure of table and its corresponding struct:
Similar error seems to be appearing on Python SDK pipeline based on this stack overflow question: (https://stackoverflow.com/questions/68758361/error-beamlogical-typejavasdkv1-while-using-apache-beam-io-jdbc-readfromjdbc)
Imported from Jira BEAM-13717. Original Jira may contain additional context.
Reported by: riteshghorse.
The text was updated successfully, but these errors were encountered: