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Bug
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Resolution: Done
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Major
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2.0.0.Final
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None
Bug report
Failed when set default value for MySQL data type Float unsigned
What Debezium connector do you use and what version?
v2.0.0
What is the connector configuration?
Run: MySqlFloatIT with extra column (float unsigned type)
What is the captured database version and mode of depoyment?
MySQL 5.7
What behaviour do you expect?
Not failed
What behaviour do you see?
Test-case failed
Do you see the same behaviour using the latest relesead Debezium version?
Yes
But it ok in version 1.9
Do you have the connector logs, ideally from start till finish?
Caused by: org.apache.kafka.connect.errors.SchemaBuilderException: Invalid default value at org.apache.kafka.connect.data.SchemaBuilder.defaultValue(SchemaBuilder.java:131) at io.debezium.relational.TableSchemaBuilder.addField(TableSchemaBuilder.java:399) ... 30 common frames omitted Caused by: org.apache.kafka.connect.errors.DataException: Invalid Java object for schema with type FLOAT64: class java.lang.Float at org.apache.kafka.connect.data.ConnectSchema.validateValue(ConnectSchema.java:242) at org.apache.kafka.connect.data.ConnectSchema.validateValue(ConnectSchema.java:213) at org.apache.kafka.connect.data.SchemaBuilder.defaultValue(SchemaBuilder.java:129) ... 31 common frames omitted
How to reproduce the issue using our tutorial deployment?
Add extra column to file float_test.sql ( add weight column)
CREATE TABLE `DBZ3865` ( `id` INT NOT NULL AUTO_INCREMENT, `f1` FLOAT DEFAULT 5.6, `f2` FLOAT(10, 2) DEFAULT NULL, `f3` FLOAT(35, 5) DEFAULT NULL, `f4_23` FLOAT(23) DEFAULT NULL, `f4_24` FLOAT(24) DEFAULT NULL, `f4_25` FLOAT(25) DEFAULT NULL, `weight` float unsigned DEFAULT '0', PRIMARY KEY (`ID`) ) ENGINE=InnoDB AUTO_INCREMENT=1 DEFAULT CHARSET=utf8mb4; INSERT INTO DBZ3865(f1, f2, f3, f4_23, f4_24, f4_25) VALUE (5.6, 5.61, 30.123456, 64.1, 64.1, 64.1);
And run MysqlFloatIT
Feature request or enhancement
For feature requests or enhancements, provide this information, please:
Which use case/requirement will be addressed by the proposed feature?
Implementation ideas (optional)
