当遇到“json parse error: cannot coerce empty string ("")”这类错误时,通常意味着你尝试将一个空字符串解析为JSON格式,但空字符串并不符合JSON的有效格式要求。以下是一些可能导致这种错误的常见情况以及相应的解决方法: 检查数据源: 确保在解析JSON之前,数据源不是空字符串。如果数据源可能为
public Student read(String jsonText) { Student student = new Student(); JsonElement rootNode = JsonParser.parseString(jsonText); if (!rootNode.isJsonObject()) { return student; } JsonObject jsonObject = rootNode.getAsJsonObject(); if(jsonObject.has("id")) { int id = jsonObject.get(...
nametypePATHstring_path[on_empty] [on_error]: Columns of this type are used to extract values specified bystring_path.typeis a MySQL scalar data type (that is, it cannot be an object or array).JSON_TABLE()extracts data as JSON then coerces it to the column type, using the regular ...
With isLenient = true, you can parse quite freely-formatted data:val format = Json { isLenient = true } enum class Status { SUPPORTED } @Serializable data class Project(val name: String, val status: Status, val votes: Int) fun main() { val data = format.decodeFromString<Project>("""...
nametypePATHstring_path[on_empty] [on_error]: Columns of this type are used to extract values specified bystring_path.typeis a MySQL scalar data type (that is, it cannot be an object or array).JSON_TABLE()extracts data as JSON then coerces it to the column type, using the regular ...
1 拦截器要求:新建一个新的工程,单独打包,保证每个flume的的拦截器都是单独的一个工程打的包,这样保证每次对拦截器修改的时候不影响其他flume业务,当然你也可以把string或者csv格式的数据split成数组,然后再拼成一个json send出去,这样也是ok的 (个人习惯,喜欢用拦截器,其实可以可下面自定义JsonKuduOperationsProducer两...
-Tattribute:type or --attribute-type=attribute:type: Coerce the named feature attribute to be of the specified type. The type may be string, float, int, or bool. If the type is bool, then original attributes of 0 (or, if numeric, 0.0, etc.), false, null, or the empty string ...
Errors in parsing XML now raise a ParseError exception, whose instances have a position attribute containing a (line, column) tuple giving the location of the problem. ElementTree's code for converting trees to a string has been significantly reworked, making it roughly twice as fast in many ...
JSON._parseSaved : JSON.parse; try { var res = parse(json, JSON.dateParser); return res; } catch (e) { // orignal error thrown has no error message so rethrow with message throw new Error("JSON content could not be parsed"); } }; JSON.dateStringToDate = function(dtString, null...
-Tattribute:type or --attribute-type=attribute:type: Coerce the named feature attribute to be of the specified type. The type may be string, float, int, or bool. If the type is bool, then original attributes of 0 (or, if numeric, 0.0, etc.), false, null, or the empty string ...