Yanan Li created SPARK-25554:
--------------------------------
Summary: Avro logical types get ignored in
SchemaConverters.toSqlType
Key: SPARK-25554
URL: https://issues.apache.org/jira/browse/SPARK-25554
Project: Spark
Issue Type: Bug
Components: SQL
Affects Versions: 2.3.0
Environment: Below is the maven dependencies:
{code:java}
<dependency>
<groupId>org.apache.avro</groupId>
<artifactId>avro</artifactId>
<version>1.8.2</version>
</dependency>
<dependency>
<groupId>com.databricks</groupId>
<artifactId>spark-avro_2.11</artifactId>
<version>4.0.0</version>
</dependency>
<!-- spark denpendencies -->
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-core_2.11</artifactId>
<version>2.3.0</version>
</dependency>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-sql_2.11</artifactId>
<version>2.3.0</version>
</dependency>
{code}
Reporter: Yanan Li
Having Avro schema defined as follow:
{code:java}
{
"namespace": "com.xxx.avro",
"name": "Book",
"type": "record",
"fields": [{
"name": "name",
"type": ["null", "string"],
"default": null
}, {
"name": "author",
"type": ["null", "string"],
"default": null
}, {
"name": "published_date",
"type": ["null", {"type": "int", "logicalType": "date"}],
"default": null
}
]
}
{code}
Spark Schema converted from above Avro schema, logical type "date" gets ignored.
{code:java}
StructType(StructField(name,StringType,true),StructField(author,StringType,true),StructField(published_date,IntegerType,true))
{code}
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