diff --git a/daft/execution/physical_plan.py b/daft/execution/physical_plan.py
index 40868673ec..1fb9b6d0b2 100644
--- a/daft/execution/physical_plan.py
+++ b/daft/execution/physical_plan.py
@@ -453,7 +453,7 @@ def global_limit(
     # since we will never take more than the remaining limit anyway.
     child_plan = local_limit(child_plan=child_plan, limit=remaining_rows)
     started = False
-
+    print(f"starting with remaining rows {remaining_rows}")
     while True:
         # Check if any inputs finished executing.
         # Apply and deduct the rolling global limit.
diff --git a/daft/execution/rust_physical_plan_shim.py b/daft/execution/rust_physical_plan_shim.py
index e29e94c609..5d772bf49e 100644
--- a/daft/execution/rust_physical_plan_shim.py
+++ b/daft/execution/rust_physical_plan_shim.py
@@ -62,7 +62,8 @@ def run(self, inputs: list[MicroPartition]) -> list[MicroPartition]:
 
     def _scan(self, inputs: list[MicroPartition]) -> list[MicroPartition]:
         assert len(inputs) == 0
-        return [MicroPartition._from_scan_task(self.scan_task)]
+        table = MicroPartition._from_scan_task(self.scan_task)
+        return [table]
 
     def run_partial_metadata(self, input_metadatas: list[PartialPartitionMetadata]) -> list[PartialPartitionMetadata]:
         assert len(input_metadatas) == 0
diff --git a/daft/iceberg/iceberg_scan.py b/daft/iceberg/iceberg_scan.py
index 307b435701..a06119a036 100644
--- a/daft/iceberg/iceberg_scan.py
+++ b/daft/iceberg/iceberg_scan.py
@@ -76,7 +76,6 @@ def __init__(self, iceberg_table: Table, storage_config: StorageConfig) -> None:
         arrow_schema = schema_to_pyarrow(iceberg_table.schema())
         self._schema = Schema.from_pyarrow_schema(arrow_schema)
         self._partition_keys = iceberg_partition_spec_to_fields(self._table.schema(), self._table.spec())
-        print(self._partition_keys)
 
     def schema(self) -> Schema:
         return self._schema
@@ -107,7 +106,6 @@ def to_scan_tasks(self, pushdowns: Pushdowns) -> Iterator[ScanTask]:
         iceberg_tasks = self._table.scan(limit=limit).plan_files()
 
         limit_files = limit is not None and pushdowns.filters is None and pushdowns.partition_filters is None
-
         scan_tasks = []
 
         if limit is not None:
@@ -146,7 +144,6 @@ def to_scan_tasks(self, pushdowns: Pushdowns) -> Iterator[ScanTask]:
                 continue
             rows_left -= record_count
             scan_tasks.append(st)
-        print()
         return iter(scan_tasks)
 
     def can_absorb_filter(self) -> bool:
diff --git a/src/daft-scan/src/lib.rs b/src/daft-scan/src/lib.rs
index 570c9fec5a..b4b38f8be1 100644
--- a/src/daft-scan/src/lib.rs
+++ b/src/daft-scan/src/lib.rs
@@ -270,7 +270,11 @@ impl ScanTask {
     }
 
     pub fn num_rows(&self) -> Option<usize> {
-        self.metadata.as_ref().map(|m| m.length)
+        if self.pushdowns.filters.is_some() {
+            None
+        } else {
+            self.metadata.as_ref().map(|m| m.length)
+        }
     }
 
     pub fn size_bytes(&self) -> Option<usize> {
diff --git a/tests/integration/iceberg/test_table_load.py b/tests/integration/iceberg/test_table_load.py
index 8648e17e1a..16579b3adc 100644
--- a/tests/integration/iceberg/test_table_load.py
+++ b/tests/integration/iceberg/test_table_load.py
@@ -38,7 +38,7 @@ def test_daft_iceberg_table_open(local_iceberg_tables):
     # "test_positional_mor_deletes", # Need Merge on Read
     # "test_positional_mor_double_deletes", # Need Merge on Read
     # "test_table_sanitized_character", # Bug in scan().to_arrow().to_arrow()
-    "test_table_version", # we have bugs when loading no files
+    "test_table_version",  # we have bugs when loading no files
     "test_uuid_and_fixed_unpartitioned",
 ]
 
@@ -111,7 +111,6 @@ def test_daft_iceberg_table_predicate_pushdown_on_date_column(predicate, table,
     assert_df_equals(daft_pandas, iceberg_pandas, sort_key=[])
 
 
-#
 @pytest.mark.integration()
 @pytest.mark.parametrize(
     "predicate, table, limit",
@@ -147,6 +146,40 @@ def test_daft_iceberg_table_predicate_pushdown_on_timestamp_column(predicate, ta
     assert_df_equals(daft_pandas, iceberg_pandas, sort_key=[])
 
 
+@pytest.mark.integration()
+@pytest.mark.parametrize(
+    "predicate, table, limit",
+    itertools.product(
+        [
+            lambda x: x < "d",
+            lambda x: x == "d",
+            lambda x: x > "d",
+            lambda x: x != "d",
+            lambda x: x == "z",
+        ],
+        [
+            "test_partitioned_by_truncate",
+        ],
+        [None, 1, 2, 1000],
+    ),
+)
+def test_daft_iceberg_table_predicate_pushdown_on_letter(predicate, table, limit, local_iceberg_catalog):
+    tab = local_iceberg_catalog.load_table(f"default.{table}")
+    df = daft.read_iceberg(tab)
+    df = df.where(predicate(df["letter"]))
+    if limit:
+        df = df.limit(limit)
+    df.collect()
+
+    daft_pandas = df.to_pandas()
+    iceberg_pandas = tab.scan().to_arrow().to_pandas()
+    iceberg_pandas = iceberg_pandas[predicate(iceberg_pandas["letter"])]
+    if limit:
+        iceberg_pandas = iceberg_pandas[:limit]
+
+    assert_df_equals(daft_pandas, iceberg_pandas, sort_key=[])
+
+
 @pytest.mark.integration()
 def test_daft_iceberg_table_predicate_pushdown_empty_scan(local_iceberg_catalog):
     tab = local_iceberg_catalog.load_table("default.test_partitioned_by_months")