# GlueContext/Glue DynamicFrame에서 Spark DataFrame으로 마이그레이션
<a name="security-lf-migration-spark-dataframes"></a>

다음은 Glue 4.0의 `GlueContext`/Glue `DynamicFrame`에서 Glue 5.0의 Spark `DataFrame`으로 마이그레이션하는 Python 및 Scala 예시입니다.

**Python**  
이전:

```
escaped_table_name= '`<dbname>`.`<table_name>`'

additional_options = {
  "query": f'select * from {escaped_table_name} WHERE column1 = 1 AND column7 = 7'
}

# DynamicFrame example
dataset = glueContext.create_data_frame_from_catalog(
    database="<dbname>",
    table_name=escaped_table_name, 
    additional_options=additional_options)
```

이후:

```
table_identifier= '`<catalogname>`.`<dbname>`.`<table_name>`"' #catalogname is optional

# DataFrame example
dataset = spark.sql(f'select * from {table_identifier} WHERE column1 = 1 AND column7 = 7')
```

**Scala**  
이전:

```
val escapedTableName = "`<dbname>`.`<table_name>`"

val additionalOptions = JsonOptions(Map(
    "query" -> s"select * from $escapedTableName WHERE column1 = 1 AND column7 = 7"
    )
)

# DynamicFrame example
val datasource0 = glueContext.getCatalogSource(
    database="<dbname>", 
    tableName=escapedTableName, 
    additionalOptions=additionalOptions).getDataFrame()
```

이후:

```
val tableIdentifier = "`<catalogname>`.`<dbname>`.`<table_name>`" //catalogname is optional

# DataFrame example
val datasource0 = spark.sql(s"select * from $tableIdentifier WHERE column1 = 1 AND column7 = 7")
```