kbendick commented on a change in pull request #1525:
URL: https://github.com/apache/iceberg/pull/1525#discussion_r496364740
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File path: spark/src/main/java/org/apache/iceberg/spark/SparkSchemaUtil.java
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@@ -63,6 +65,21 @@ public static Schema schemaForTable(SparkSession spark,
String name) {
return new Schema(converted.asNestedType().asStructType().fields());
}
+ /**
+ * Given a Spark table identifier, determine the PartitionSpec.
+ * @param spark the SparkSession which contains the identifier
+ * @param table a TableIdentifier, if the namespace is left blank the
catalog().currentDatabase() will be used
+ * @return a IcebergPartitionSpec representing the partitioning of the Spark
table
+ * @throws AnalysisException if thrown by the Spark catalog
+ */
+ public static PartitionSpec specForTable(SparkSession spark, TableIdentifier
table) throws AnalysisException {
+ String db = table.database().nonEmpty() ? table.database().get() :
spark.catalog().currentDatabase();
+ PartitionSpec spec = identitySpec(
+ schemaForTable(spark, table.unquotedString()),
Review comment:
I think that you can get the table DDL via a utility function in
catalyst, and then there's a function that returns a schema from DDL. However,
if this is returning an Iceberg schema then do please ignore me :)
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