xuyangzhong commented on code in PR #25717:
URL: https://github.com/apache/flink/pull/25717#discussion_r1898410221
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flink-table/flink-table-runtime/src/main/java/org/apache/flink/table/runtime/operators/rank/FastTop1Function.java:
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@@ -30,38 +30,28 @@
import org.apache.flink.table.data.RowData;
import org.apache.flink.table.runtime.generated.GeneratedRecordComparator;
import org.apache.flink.table.runtime.keyselector.RowDataKeySelector;
+import org.apache.flink.table.runtime.operators.rank.utils.FastTop1Helper;
import org.apache.flink.table.runtime.typeutils.InternalTypeInfo;
import org.apache.flink.util.Collector;
-import org.apache.flink.shaded.guava32.com.google.common.cache.Cache;
-import org.apache.flink.shaded.guava32.com.google.common.cache.CacheBuilder;
-
-import org.slf4j.Logger;
-import org.slf4j.LoggerFactory;
-
-import java.util.Map;
-import java.util.concurrent.TimeUnit;
-
/**
* A more concise implementation for {@link AppendOnlyTopNFunction} and {@link
* UpdatableTopNFunction} when only Top-1 is desired. This function can handle
updating stream
* because the RankProcessStrategy is inferred as UpdateFastStrategy, i.e., 1)
the upsert key of
* input steam contains partition key; 2) the sort field is updated monotonely
under the upsert key.
Review Comment:
In fact, I haven't changed those comments, but I think I can update them.
Regarding `monotonely`, you can find more info in
`FlinkRelMdModifiedMonotonicity`. In simple terms, it refers to whether a
particular column is monotonically increasing or monotonically decreasing.
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