导入失败，报错：“too many filtered rows xxx, “ErrorURL“:“
一、问题：
注：前面能正常写入，突然就报错，导入失败，报错：“too many filtered rows xxx, "ErrorURL":"
{"TxnId":769494,"Label":"datax_doris_writer_bf176078-15d7-414f-8923-b0eb5f6d5da1","TwoPhaseCommit":"false","Status":"Fail","Message":"[INTERNAL_ERROR]too many filtered rows","NumberTotalRows":325476,"NumberLoadedRows":325473,"NumberFilteredRows":3,"NumberUnselectedRows":0,"LoadBytes":94697450,"LoadTimeMs":1498,"BeginTxnTimeMs":0,"StreamLoadPutTimeMs":2,"ReadDataTimeMs":117,"WriteDataTimeMs":1495,"CommitAndPublishTimeMs":0,"ErrorURL":"http://IP:8040/api/_load_error_log?file=__shard_8/error_log_insert_stmt_ce466641e5bad2af-99171040d6f76fb8_ce466641e5bad2af_99171040d6f76fb8"}
http://IP:8040/api/_load_error_log?file=__shard_8/error_log_insert_stmt_ce466641e5bad2af-99171040d6f76fb8_ce466641e5bad2af_99171040d6f76fb8"
内容如下： Reason: actual column number in csv file is less than schema column number.actual number: 11, column separator: [ ], line delimiter: [ ], schema column number: 16; . src line [320746671400 6540dbac03e56b6315de10f8 279ca466-2047-42f5-9932-1730703644e4 10 沙河市中瑞玻璃制品有限公司玻璃深加工生产线扩建项... 2023-10-31 00:00:00 130582 10 1004 10 ]; Reason: actual column number in csv file is less than schema column number.actual number: 1, column separator: [ ], line delimiter: [ ], schema column number: 16; . src line [2023-10-31]; Reason: actual column number in csv file is less than schema column number.actual number: 6, column separator: [ ], line delimiter: [ ], schema column number: 16; . src line [ \N 0 1698749356710 2023-10-31 18:49:16 2023-11-13 11:05:48];
二、解决办法
Datax 代码库编译
从datax 代码库拉取代码，执行编译
git clone https://github.com/alibaba/DataX.git
cd datax
mvn package assembly:assembly -Dmaven.test.skip=true
注：MYSQL版本改成你使用的版本；
more pom.xml
编译完成后可以在 datax/target/Datax 下看到datax.tar.gz 包
my_import.json
{
"job": {
"content": [
{
"reader": {
"name": "mysqlreader",
"parameter": {
"column": ["id","order_code","line_code","remark","unit_no","unit_name","price"],
"connection": [
{
"jdbcUrl": ["jdbc:mysql://localhost:3306/demo"],
"table": ["employees_1"]
}
],
"username": "root",
"password": "xxxxx",
"where": ""
}
},
"writer": {
"name": "doriswriter",
"parameter": {
"loadUrl": ["127.0.0.1:8030"],
"loadProps": {
},
"column": ["id","order_code","line_code","remark","unit_no","unit_name","price"],
"username": "root",
"password": "xxxxxx",
"postSql": ["select count(1) from all_employees_info"],
"preSql": [],
"flushInterval":30000,
"connection": [
{
"jdbcUrl": "jdbc:mysql://127.0.0.1:9030/demo",
"selectedDatabase": "demo",
"table": ["all_employees_info"]
}
],
"loadProps": {
"format": "json",
"strip_outer_array":"true",
"line_delimiter": "\\x02"
}
}
}
}
],
"setting": {
"speed": {
"channel": "1"
}
}
}
}
备注：
"loadProps": { "format": "json", "strip_outer_array":"true", "line_delimiter": "\\x02" }
- 这里我们使用了 JSON 格式导入数据
line_delimiter默认是换行符，可能会和数据中的值冲突，我们可以使用一些特殊字符或者不可见字符，避免导入错误- strip_outer_array ：在一批导入数据中表示多行数据，Doris 在解析时会将数组展开，然后依次解析其中的每一个 Object 作为一行数据
- 更多 Stream load 参数请参照 [Stream load文档](Stream load - Apache Doris)
- 如果是 CSV 格式我们可以这样使用
"loadProps": { "format": "csv", "column_separator": "\\x01", "line_delimiter": "\\x02" }CSV 格式要特别注意行列分隔符，避免和数据中的特殊字符冲突，这里建议使用隐藏字符，默认列分隔符是：\t，行分隔符：\n
4.执行datax任务，具体参考 datax官网,或者
DataX Doriswriter - Apache Doris