zhangjun0x01 commented on a change in pull request #2082:
URL: https://github.com/apache/iceberg/pull/2082#discussion_r556326048



##########
File path: flink/src/main/java/org/apache/iceberg/flink/FlinkCatalog.java
##########
@@ -655,10 +685,54 @@ public void alterPartitionColumnStatistics(ObjectPath 
tablePath, CatalogPartitio
     return Lists.newArrayList(set);
   }
 
-  @Override
-  public List<CatalogPartitionSpec> listPartitions(ObjectPath tablePath, 
CatalogPartitionSpec partitionSpec)
-      throws CatalogException {
-    throw new UnsupportedOperationException();
+  private String getValue(Schema schema, String name, int index, StructLike 
structLike) {
+    Type type = schema.findType(name);
+    if (type instanceof Types.DateType) {
+      return DateTimeUtil.dateFromDays(structLike.get(index, 
Integer.class)).toString();
+    } else if (type instanceof Types.TimeType) {
+      return DateTimeUtil.timeFromMicros(structLike.get(index, 
Long.class)).toString();
+    } else if (type instanceof Types.TimestampType) {
+      return DateTimeUtil.timestampFromMicros(structLike.get(index, 
Long.class)).toString();
+    } else {
+      return String.valueOf(structLike.get(index, Object.class));
+    }
+  }
+
+  private org.apache.iceberg.expressions.Expression getPartitionFilter(Schema 
schema,
+                                                                       
CatalogPartitionSpec partitionSpec) {
+    Map<String, String> partitions = partitionSpec.getPartitionSpec();
+
+    org.apache.iceberg.expressions.Expression filter = 
Expressions.alwaysTrue();
+    for (Map.Entry<String, String> entry : partitions.entrySet()) {
+      String name = entry.getKey();
+      String value = entry.getValue();
+      Type type = schema.findType(entry.getKey());
+      // Long,Map,Struct,List type are not supported by flink,so we do not add 
them  here.
+      if (type instanceof Types.IntegerType) {
+        filter = Expressions.and(filter, Expressions.equal(name, 
Integer.valueOf(value)));
+      } else if (type instanceof Types.StringType) {
+        filter = Expressions.and(filter, Expressions.equal(name, value));
+      } else if (type instanceof Types.DoubleType) {
+        filter = Expressions.and(filter, Expressions.equal(name, 
Double.valueOf(value)));
+      } else if (type instanceof Types.FloatType) {
+        filter = Expressions.and(filter, Expressions.equal(name, 
Float.valueOf(value)));
+      } else if (type instanceof Types.DateType) {
+        filter =
+            Expressions.and(filter, Expressions.equal(name, 
DateTimeUtil.daysFromDate(LocalDate.parse(value))));
+      } else if (type instanceof Types.TimeType) {
+        filter =
+            Expressions.and(filter, Expressions.equal(name, 
DateTimeUtil.microsFromTime(LocalTime.parse(value))));
+      } else if (type instanceof Types.TimestampType) {
+        filter = Expressions
+            .and(filter, Expressions.equal(name, 
DateTimeUtil.microsFromTimestamp(LocalDateTime.parse(value))));
+      } else if (type instanceof Types.BooleanType) {
+        filter = Expressions.and(filter, Expressions.equal(name, 
Boolean.valueOf(value)));
+      } else if (type instanceof Types.DecimalType) {
+        filter = Expressions.and(filter, Expressions.equal(name, new 
BigDecimal(value)));
+      }
+    }

Review comment:
       > Perhaps this could be made simpler by using a `Map<class ? extends 
Type, Function<String, PrimitiveType>>` and then handling the non-PrimitiveType 
values that require special handling using if statements? Inspiration could be 
found in this file, for both the map as well as a way to handle 
`convertLiteral`: 
https://github.com/apache/iceberg/blob/04e73deb7d68e3c4011101384f725abb1aae6236/spark3/src/main/java/org/apache/iceberg/spark/SparkFilters.java
   
   The partition value provided by flink is of string type. We need to convert 
the value to the  iceberg's corresponding type. We can extract a method, but I 
think in the method we still need to use if to make judgments and convert them 
in turn.




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