# RemoveDuplicates 类
<a name="aws-glue-api-pyspark-transforms-RemoveDuplicates"></a>

 如果在选定的源列中遇到重复值，则 `RemoveDuplicates` 转换会删除整行。

## 示例
<a name="pyspark-RemoveDuplicates-examples"></a>

```
from pyspark.context import SparkContext
from pyspark.sql import SparkSession
from awsgluedi.transforms import *

sc = SparkContext()
spark = SparkSession(sc)

input_df = spark.createDataFrame(
    [
        (105.111, 13.12),
        (13.12, 13.12),
        (None, 13.12),
        (13.12, 13.12),
        (None, 13.12),
    ],
    ["source_column_1", "source_column_2"],
)

try:
    df_output = data_quality.RemoveDuplicates.apply(
        data_frame=input_df,
        spark_context=sc,
        source_column="source_column_1"
    )
except:
    print("Unexpected Error happened ")
    raise
```

## Output
<a name="pyspark-RemoveDuplicates-output"></a>

 输出是 PySpark DataFrame，其中根据 `source_column_1` 列删除了重复项。生成的“df\$1output”DataFrame 将包含以下行：

```
```
+---------------+---------------+
|source_column_1|source_column_2|
+---------------+---------------+
| 105.111| 13.12|
| 13.12| 13.12|
| null| 13.12|
+---------------+---------------+
```
```

 请注意，`source_column_1` 值为“13.12”和“null”的行在输出 DataFrame 中仅会出现一次，因为已根据 `source_column_1` 列删除了重复项。

## 方法
<a name="aws-glue-api-pyspark-transforms-RemoveDuplicates-_methods"></a>
+ [\$1\$1call\$1\$1](#aws-glue-api-pyspark-transforms-RemoveDuplicates-__call__)
+ [apply](#aws-glue-api-crawler-pyspark-transforms-RemoveDuplicates-apply)
+ [name](#aws-glue-api-crawler-pyspark-transforms-RemoveDuplicates-name)
+ [describeArgs](#aws-glue-api-crawler-pyspark-transforms-RemoveDuplicates-describeArgs)
+ [describeReturn](#aws-glue-api-crawler-pyspark-transforms-RemoveDuplicates-describeReturn)
+ [describeTransform](#aws-glue-api-crawler-pyspark-transforms-RemoveDuplicates-describeTransform)
+ [describeErrors](#aws-glue-api-crawler-pyspark-transforms-RemoveDuplicates-describeErrors)
+ [describe](#aws-glue-api-crawler-pyspark-transforms-RemoveDuplicates-describe)

## \$1\$1call\$1\$1(spark\$1context, data\$1frame, source\$1column)
<a name="aws-glue-api-pyspark-transforms-RemoveDuplicates-__call__"></a>

 如果在选定的源列中遇到重复值，则 `RemoveDuplicates` 转换会删除整行。
+ `source_column`：现有列的名称。

## apply(cls, \$1args, \$1\$1kwargs)
<a name="aws-glue-api-crawler-pyspark-transforms-RemoveDuplicates-apply"></a>

继承自 `GlueTransform` [apply](aws-glue-api-crawler-pyspark-transforms-GlueTransform.md#aws-glue-api-crawler-pyspark-transforms-GlueTransform-apply)。

## name(cls)
<a name="aws-glue-api-crawler-pyspark-transforms-RemoveDuplicates-name"></a>

继承自 `GlueTransform` [名称](aws-glue-api-crawler-pyspark-transforms-GlueTransform.md#aws-glue-api-crawler-pyspark-transforms-GlueTransform-name)。

## describeArgs(cls)
<a name="aws-glue-api-crawler-pyspark-transforms-RemoveDuplicates-describeArgs"></a>

继承自 `GlueTransform` [describeArgs](aws-glue-api-crawler-pyspark-transforms-GlueTransform.md#aws-glue-api-crawler-pyspark-transforms-GlueTransform-describeArgs)。

## describeReturn(cls)
<a name="aws-glue-api-crawler-pyspark-transforms-RemoveDuplicates-describeReturn"></a>

继承自 `GlueTransform` [describeReturn](aws-glue-api-crawler-pyspark-transforms-GlueTransform.md#aws-glue-api-crawler-pyspark-transforms-GlueTransform-describeReturn)。

## describeTransform(cls)
<a name="aws-glue-api-crawler-pyspark-transforms-RemoveDuplicates-describeTransform"></a>

继承自 `GlueTransform` [describeTransform](aws-glue-api-crawler-pyspark-transforms-GlueTransform.md#aws-glue-api-crawler-pyspark-transforms-GlueTransform-describeTransform)。

## describeErrors(cls)
<a name="aws-glue-api-crawler-pyspark-transforms-RemoveDuplicates-describeErrors"></a>

继承自 `GlueTransform` [describeErrors](aws-glue-api-crawler-pyspark-transforms-GlueTransform.md#aws-glue-api-crawler-pyspark-transforms-GlueTransform-describeErrors)。

## describe(cls)
<a name="aws-glue-api-crawler-pyspark-transforms-RemoveDuplicates-describe"></a>

继承自 `GlueTransform` [describe](aws-glue-api-crawler-pyspark-transforms-GlueTransform.md#aws-glue-api-crawler-pyspark-transforms-GlueTransform-describe)。