lianghongjia6 commented on code in PR #26473:
URL: https://github.com/apache/flink/pull/26473#discussion_r2053756318
##########
flink-formats/flink-json/src/test/java/org/apache/flink/formats/json/JsonRowDataSerDeSchemaTest.java:
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@@ -224,6 +227,55 @@ void testSerDe() throws Exception {
assertThat(serializedJson).containsExactly(actualBytes);
}
+ @Test
+ public void testJsonArrayToMultiRecords() throws Exception {
+ DataType dataType = ROW(FIELD("f1", INT()), FIELD("f2", BOOLEAN()),
FIELD("f3", STRING()));
+ RowType rowType = (RowType) dataType.getLogicalType();
+
+ ObjectMapper objectMapper = new ObjectMapper();
+
+ ObjectNode element1 = objectMapper.createObjectNode();
+ element1.put("f1", 1);
+ element1.put("f2", true);
+ element1.put("f3", "str");
+
+ ObjectNode element2 = objectMapper.createObjectNode();
+ element2.put("f1", 10);
+ element2.put("f2", false);
+ element2.put("f3", "newStr");
+
+ ArrayNode arrayNode = objectMapper.createArrayNode();
Review Comment:
> I assume that it's more complicated structure and not supported yet. I'm
fine that we remain it as unsupported and add related description in the doc.
I have added related description in doc.
`Each element within the array is a JSON object, the schema of every such
JSON object is the same as defined in SQL, and each of these JSON objects can
be converted into one row`
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