Java 类名:com.alibaba.alink.operator.stream.dataproc.format.KvToCsvStreamOp
Python 类名:KvToCsvStreamOp
将数据格式从 Kv 转成 Csv
setSchemaStr 设置csv每一列的key值。如果指定的key不在输入的KV中,留空。
名称 | 中文名称 | 描述 | 类型 | 是否必须? | 取值范围 | 默认值 |
---|---|---|---|---|---|---|
csvCol | CSV列名 | CSV列的列名 | String | ✓ | ||
kvCol | KV列名 | KV列的列名 | String | ✓ | 所选列类型为 [STRING] | |
schemaStr | Schema | Schema。格式为“colname coltype[, colname2, coltype2[, …]]”,例如“f0 string, f1 bigint, f2 double” | String | ✓ | ||
csvFieldDelimiter | 字段分隔符 | 字段分隔符 | String | “,” | ||
handleInvalid | 解析异常处理策略 | 解析异常处理策略,可选为ERROR(抛出异常)或者SKIP(输出NULL) | String | “ERROR”, “SKIP” | “ERROR” | |
kvColDelimiter | 不同key之间分隔符 | 当输入数据为稀疏格式时,key-value对之间的分隔符 | String | “,” | ||
kvValDelimiter | key和value之间分隔符 | 当输入数据为稀疏格式时,key和value的分割符 | String | “:” | ||
quoteChar | 引号字符 | 引号字符 | Character | “"” | ||
reservedCols | 算法保留列名 | 算法保留列 | String[] | null |
from pyalink.alink import * import pandas as pd useLocalEnv(1) df = pd.DataFrame([ ['1', '{"f0":"1.0","f1":"2.0"}', '$3$0:1.0 1:2.0', 'f0:1.0,f1:2.0', '1.0,2.0', 1.0, 2.0], ['2', '{"f0":"4.0","f1":"8.0"}', '$3$0:4.0 1:8.0', 'f0:4.0,f1:8.0', '4.0,8.0', 4.0, 8.0]]) data = StreamOperator.fromDataframe(df, schemaStr="row string, json string, vec string, kv string, csv string, f0 double, f1 double") op = KvToCsvStreamOp()\ .setKvCol("kv")\ .setReservedCols(["row"])\ .setCsvCol("csv")\ .setSchemaStr("f0 double, f1 double")\ .linkFrom(data) op.print() StreamOperator.execute()
import org.apache.flink.types.Row; import com.alibaba.alink.operator.stream.StreamOperator; import com.alibaba.alink.operator.stream.dataproc.format.KvToCsvStreamOp; import com.alibaba.alink.operator.stream.source.MemSourceStreamOp; import org.junit.Test; import java.util.Arrays; import java.util.List; public class KvToCsvStreamOpTest { @Test public void testKvToCsvStreamOp() throws Exception { List <Row> df = Arrays.asList( Row.of("1", "{\"f0\":\"1.0\",\"f1\":\"2.0\"}", "$3$0:1.0 1:2.0", "f0:1.0,f1:2.0", "1.0,2.0", 1.0, 2.0), Row.of("2", "{\"f0\":\"4.0\",\"f1\":\"8.0\"}", "$3$0:4.0 1:8.0", "f0:4.0,f1:8.0", "4.0,8.0", 4.0, 8.0) ); StreamOperator <?> data = new MemSourceStreamOp(df, "row string, json string, vec string, kv string, csv string, f0 double, f1 double"); StreamOperator <?> op = new KvToCsvStreamOp() .setKvCol("kv") .setReservedCols("row") .setCsvCol("csv") .setSchemaStr("f0 double, f1 double") .linkFrom(data); op.print(); StreamOperator.execute(); } }
row | csv |
---|---|
1 | 1.0,2.0 |
2 | 4.0,8.0 |