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Fix JSON parsing memory corruption - Fix Mixed types nested children removal #15798

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merged 5 commits into from
May 31, 2024
Merged

Fix JSON parsing memory corruption - Fix Mixed types nested children removal #15798

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5819de3
fix for removing child column references for mixed types
karthikeyann May 21, 2024
b2334cb
fix test
karthikeyann May 30, 2024
1519f39
Merge branch 'branch-24.08' into fix-json_mixed_nested_children
karthikeyann May 30, 2024
d98bb83
fix a comment
karthikeyann May 30, 2024
2bf1216
Merge branch 'branch-24.08' into fix-json_mixed_nested_children
karthikeyann May 30, 2024
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17 changes: 15 additions & 2 deletions cpp/src/io/json/json_column.cu
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Original file line number Diff line number Diff line change
Expand Up @@ -594,8 +594,7 @@ void make_device_json_column(device_span<SymbolT const> input,
col.validity =
cudf::detail::create_null_mask(col.num_rows, cudf::mask_state::ALL_NULL, stream, mr);
col.type = json_col_t::StringColumn;
col.child_columns.clear(); // their references should be deleted too.
col.column_order.clear();
// destroy references of all child columns after this step, by calling remove_child_columns
};

path_from_tree tree_path{column_categories,
Expand Down Expand Up @@ -628,6 +627,19 @@ void make_device_json_column(device_span<SymbolT const> input,
std::vector<uint8_t> is_pruned(num_columns, 0);
columns.try_emplace(parent_node_sentinel, std::ref(root));

std::function<void(NodeIndexT, device_json_column&)> remove_child_columns =
[&](NodeIndexT this_col_id, device_json_column& col) {
for (auto col_name : col.column_order) {
auto child_id = mapped_columns[{this_col_id, col_name}];
is_mixed_type_column[child_id] = 1;
remove_child_columns(child_id, col.child_columns.at(col_name));
mapped_columns.erase({this_col_id, col_name});
columns.erase(child_id);
}
col.child_columns.clear(); // their references are deleted above.
col.column_order.clear();
};

auto name_and_parent_index = [&is_array_of_arrays,
&row_array_parent_col_id,
&column_parent_ids,
Expand Down Expand Up @@ -721,6 +733,7 @@ void make_device_json_column(device_span<SymbolT const> input,
auto& col = columns.at(old_col_id).get();
if (col.type == json_col_t::ListColumn or col.type == json_col_t::StructColumn) {
reinitialize_as_string(old_col_id, col);
remove_child_columns(old_col_id, col);
// all its children (which are already inserted) are ignored later.
}
col.forced_as_string_column = true;
Expand Down
36 changes: 36 additions & 0 deletions cpp/tests/io/json_test.cpp
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Expand Up @@ -2679,4 +2679,40 @@ TEST_F(JsonReaderTest, JsonNestedDtypeFilter)
}
}

TEST_F(JsonReaderTest, JSONMixedTypeChildren)
{
std::string const json_str = R"(
{ "Root": { "Key": [ { "EE": "A" } ] } }
{ "Root": { "Key": { } } }
{ "Root": { "Key": [{ "YY": 1}] } }
)";
// Column "EE" is created and destroyed
// Column "YY" should not be created

cudf::io::json_reader_options options =
cudf::io::json_reader_options::builder(cudf::io::source_info{json_str.c_str(), json_str.size()})
.lines(true)
.recovery_mode(cudf::io::json_recovery_mode_t::RECOVER_WITH_NULL)
.normalize_single_quotes(true)
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Nit: Since we do not have single quotes in the input string, do we need to enable single quotes normalization here? Another minor nit is that we can remove normalize_whitespace call since whitespace normalization is disabled by default.

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@karthikeyann karthikeyann May 31, 2024 •
edited
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Right, those options are not required. I used the same options as repro code for the bug, but I reduced the input json to minimal.

.normalize_whitespace(false)
.mixed_types_as_string(true)
.keep_quotes(true);

auto result = cudf::io::read_json(options);

ASSERT_EQ(result.tbl->num_columns(), 1);
ASSERT_EQ(result.metadata.schema_info.size(), 1);
EXPECT_EQ(result.metadata.schema_info[0].name, "Root");
ASSERT_EQ(result.metadata.schema_info[0].children.size(), 1);
EXPECT_EQ(result.metadata.schema_info[0].children[0].name, "Key");
ASSERT_EQ(result.metadata.schema_info[0].children[0].children.size(), 2);
EXPECT_EQ(result.metadata.schema_info[0].children[0].children[0].name, "offsets");
// types
EXPECT_EQ(result.tbl->get_column(0).type().id(), cudf::type_id::STRUCT);
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Question: Can type checks also be ASSERT_EQ? I think the types condition must hold since the goal of the test is to ensure correct mixed types behaviour,

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The EXPECT_EQ will fail the test as appropriate.
The difference is that ASSERT_EQ will abort the test which should really only be used when the remaining code may fail/segfault.
I think the usage of EXPECT_EQ and ASSERT_EQ are correctly implemented here.

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Makes sense, thank you for the explanation!

EXPECT_EQ(result.tbl->get_column(0).child(0).type().id(), cudf::type_id::STRING);
cudf::test::strings_column_wrapper expected({R"([ { "EE": "A" } ])", "{ }", R"([{ "YY": 1}])"});

CUDF_TEST_EXPECT_COLUMNS_EQUAL(expected, result.tbl->get_column(0).child(0));
}

CUDF_TEST_PROGRAM_MAIN()
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