diff --git a/ibis/backends/sql/compilers/flink.py b/ibis/backends/sql/compilers/flink.py
index 6a7f9cf456ee..f064205d861b 100644
--- a/ibis/backends/sql/compilers/flink.py
+++ b/ibis/backends/sql/compilers/flink.py
@@ -72,7 +72,6 @@ class FlinkCompiler(SQLGlotCompiler):
         ops.ArgMax,
         ops.ArgMin,
         ops.ArrayFlatten,
-        ops.ArraySort,
         ops.ArrayStringJoin,
         ops.Correlation,
         ops.CountDistinctStar,
@@ -102,6 +101,7 @@ class FlinkCompiler(SQLGlotCompiler):
         ops.ArrayLength: "cardinality",
         ops.ArrayPosition: "array_position",
         ops.ArrayRemove: "array_remove",
+        ops.ArraySort: "array_sort",
         ops.ArrayUnion: "array_union",
         ops.ExtractDayOfYear: "dayofyear",
         ops.MapKeys: "map_keys",
@@ -576,10 +576,20 @@ def visit_StructColumn(self, op, *, names, values):
         return self.cast(sge.Struct(expressions=list(values)), op.dtype)
 
     def visit_ArrayCollect(self, op, *, arg, where, order_by, include_null):
+        if order_by:
+            raise com.UnsupportedOperationError(
+                "ordering of order-sensitive aggregations via `order_by` is "
+                "not supported for this backend"
+            )
+        # the only way to get filtering *and* respecting nulls is to use
+        # `FILTER` syntax, but it's broken in various ways for other aggregates
+        out = self.f.array_agg(arg)
         if not include_null:
             cond = arg.is_(sg.not_(NULL, copy=False))
             where = cond if where is None else sge.And(this=cond, expression=where)
-        return self.agg.array_agg(arg, where=where, order_by=order_by)
+        if where is not None:
+            out = sge.Filter(this=out, expression=sge.Where(this=where))
+        return out
 
 
 compiler = FlinkCompiler()
diff --git a/ibis/backends/sql/dialects.py b/ibis/backends/sql/dialects.py
index e90c0a16787b..c7ad3c479ec4 100644
--- a/ibis/backends/sql/dialects.py
+++ b/ibis/backends/sql/dialects.py
@@ -212,6 +212,7 @@ class Generator(Hive.Generator):
             sge.ArrayConcat: rename_func("array_concat"),
             sge.ArraySize: rename_func("cardinality"),
             sge.ArrayAgg: rename_func("array_agg"),
+            sge.ArraySort: rename_func("array_sort"),
             sge.Length: rename_func("char_length"),
             sge.TryCast: lambda self,
             e: f"TRY_CAST({e.this.sql(self.dialect)} AS {e.to.sql(self.dialect)})",
diff --git a/ibis/backends/tests/test_aggregation.py b/ibis/backends/tests/test_aggregation.py
index a139359e2480..679e3c155e62 100644
--- a/ibis/backends/tests/test_aggregation.py
+++ b/ibis/backends/tests/test_aggregation.py
@@ -1480,13 +1480,13 @@ def test_collect_ordered(alltypes, df, filtered):
 def test_collect(alltypes, df, filtered, include_null):
     ibis_cond = (_.id % 13 == 0) if filtered else None
     pd_cond = (df.id % 13 == 0) if filtered else slice(None)
-    res = (
+    expr = (
         alltypes.string_col.nullif("3")
         .collect(where=ibis_cond, include_null=include_null)
         .length()
-        .execute()
     )
-    vals = df.string_col if include_null else df.string_col[(df.string_col != "3")]
+    res = expr.execute()
+    vals = df.string_col if include_null else df.string_col[df.string_col != "3"]
     sol = len(vals[pd_cond])
     assert res == sol
 
diff --git a/ibis/backends/tests/test_array.py b/ibis/backends/tests/test_array.py
index d4ca266629ca..7c373fd59f53 100644
--- a/ibis/backends/tests/test_array.py
+++ b/ibis/backends/tests/test_array.py
@@ -316,13 +316,13 @@ def test_unnest_idempotent(backend):
             ["scalar_column", array_types.x.cast("!array<int64>").unnest().name("x")]
         )
         .group_by("scalar_column")
-        .aggregate(x=lambda t: t.x.collect())
+        .aggregate(x=lambda t: t.x.collect().sort())
         .order_by("scalar_column")
     )
     result = expr.execute().reset_index(drop=True)
     expected = (
         df[["scalar_column", "x"]]
-        .assign(x=df.x.map(lambda arr: [i for i in arr if not pd.isna(i)]))
+        .assign(x=df.x.map(lambda arr: sorted(i for i in arr if not pd.isna(i))))
         .sort_values("scalar_column")
         .reset_index(drop=True)
     )
@@ -718,20 +718,34 @@ def test_array_unique(con, input, expected):
 
 
 @builtin_array
-@pytest.mark.notimpl(
-    ["flink", "polars"],
-    raises=com.OperationNotDefinedError,
-)
+@pytest.mark.notimpl(["polars"], raises=com.OperationNotDefinedError)
 @pytest.mark.notyet(
     ["risingwave"],
     raises=AssertionError,
     reason="Refer to https://github.com/risingwavelabs/risingwave/issues/14735",
 )
-def test_array_sort(con):
-    t = ibis.memtable({"a": [[3, 2], [], [42, 42], []], "id": range(4)})
+@pytest.mark.parametrize(
+    "data",
+    (
+        param(
+            [[3, 2], [], [42, 42], []],
+            marks=[
+                pytest.mark.notyet(
+                    ["flink"],
+                    raises=Py4JJavaError,
+                    reason="flink cannot handle empty arrays",
+                )
+            ],
+        ),
+        [[3, 2], [42, 42]],
+    ),
+    ids=["empty", "nonempty"],
+)
+def test_array_sort(con, data):
+    t = ibis.memtable({"a": data, "id": range(len(data))})
     expr = t.mutate(a=t.a.sort()).order_by("id")
     result = con.execute(expr)
-    expected = pd.Series([[2, 3], [], [42, 42], []], dtype="object")
+    expected = pd.Series(list(map(sorted, data)), dtype="object")
 
     assert frozenset(map(tuple, result["a"].values)) == frozenset(
         map(tuple, expected.values)
diff --git a/ibis/backends/tests/test_struct.py b/ibis/backends/tests/test_struct.py
index 5eb8b95d721f..3c37cb4234c8 100644
--- a/ibis/backends/tests/test_struct.py
+++ b/ibis/backends/tests/test_struct.py
@@ -116,9 +116,6 @@ def test_struct_column(alltypes, df):
 
 @pytest.mark.notimpl(["postgres", "risingwave", "polars"])
 @pytest.mark.notyet(["datafusion"], raises=Exception, reason="unsupported syntax")
-@pytest.mark.notyet(
-    ["flink"], reason="flink doesn't support creating struct columns from collect"
-)
 def test_collect_into_struct(alltypes):
     from ibis import _