izveigor commented on code in PR #6662:
URL: https://github.com/apache/arrow-datafusion/pull/6662#discussion_r1237566894
##########
datafusion/core/tests/sqllogictests/test_files/array.slt:
##########
@@ -99,9 +116,9 @@ select array_prepend(1, make_array(2, 3, 4)),
array_prepend(1.0, make_array(2.0,
[1, 2, 3, 4] [1.0, 2.0, 3.0, 4.0] [h, e, l, l, o]
# array_fill scalar function #1
-query error DataFusion error: SQL error: ParserError\("Expected an SQL
statement, found: caused"\)
+query error DataFusion error: SQL error: TokenizerError\("Unterminated string
literal at Line: 2, Column 856"\)
caused by
-Error during planning: Cannot automatically convert List\(Field \{ name:
"item", data_type: List\(Field \{ name: "item", data_type: List\(Field \{ name:
"item", data_type: Int64, nullable: true, dict_id: 0, dict_is_ordered: false,
metadata: \{\} \}\), nullable: true, dict_id: 0, dict_is_ordered: false,
metadata: \{\} \}\), nullable: true, dict_id: 0, dict_is_ordered: false,
metadata: \{\} \}\) to List\(Field \{ name: "item", data_type: Int64, nullable:
true, dict_id: 0, dict_is_ordered: false, metadata: \{\} \}\)
+Internal error: Optimizer rule 'simplify_expressions' failed, due to generate
a different schema, original schema: DFSchema \{ fields: \[DFField \{
qualifier: None, field: Field \{ name:
"array_fill\(Int64\(1\),make_array\(\)\)", data_type: List\(Field \{ name:
"item", data_type: Int64, nullable: true, dict_id: 0, dict_is_ordered: false,
metadata: \{\} \}\), nullable: true, dict_id: 0, dict_is_ordered: false,
metadata: \{\} \} \}\], metadata: \{\} \}, new schema: DFSchema \{ fields:
\[DFField \{ qualifier: None, field: Field \{ name:
"array_fill\(Int64\(1\),make_array\(\)\)", data_type: List\(Field \{ name:
"item", data_type: Null, nullable: true, dict_id: 0, dict_is_ordered: false,
metadata: \{\} \}\), nullable: false, dict_id: 0, dict_is_ordered: false,
metadata: \{\} \} \}\], metadata: \{\} \}\. This was likely caused by a bug in
DataFusion's code and we would welcome that you file an bug report in our issue
tracker
Review Comment:
Weird, there seems to be a merge problem.
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