Jackie-Jiang commented on a change in pull request #7692:
URL: https://github.com/apache/pinot/pull/7692#discussion_r745091691
##########
File path:
pinot-connectors/pinot-spark-connector/src/test/scala/org/apache/pinot/connector/spark/connector/PinotUtilsTest.scala
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@@ -19,12 +19,11 @@
package org.apache.pinot.connector.spark.connector
import org.apache.pinot.connector.spark.connector.PinotUtils._
-import org.apache.pinot.common.utils.DataSchema
-import org.apache.pinot.common.utils.DataSchema.ColumnDataType
+import org.apache.pinot.spi.data.DataSchema.ColumnDataType
import org.apache.pinot.connector.spark.BaseTest
import org.apache.pinot.connector.spark.exceptions.PinotException
import org.apache.pinot.core.common.datatable.DataTableBuilder
-import org.apache.pinot.spi.data.Schema
+import org.apache.pinot.spi.data.{DataSchema, Schema}
Review comment:
Split into 2 imports
##########
File path: pinot-spi/src/main/java/org/apache/pinot/spi/data/DataSchema.java
##########
@@ -40,7 +40,10 @@
/**
- * The <code>DataSchema</code> class describes the schema of {@link DataTable}.
+ * The <code>DataSchema</code> class describes the columnName and columnType
of a row.
+ *
+ * <p>Comparing with {@link Schema} it doesn't contain any {@link FieldSpec}
information except for the DataType.
Review comment:
Schema is used to describe the table; DataSchema is used to describe the
query results
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