Class DataFrameWriter
- java.lang.Object
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- com.snowflake.snowpark_java.DataFrameWriter
 
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 public class DataFrameWriter extends Object Provides methods for writing data from a DataFrame to supported output destinations. You can write data to the following locations:- A Snowflake table
- A file on a stage
 Saving Data to a TableTo use this object to write into a table:- Access an instance of a DataFrameWriter by calling the DataFrame.writemethod.
- Specify the save mode to use (overwrite or append) by calling the mode()method. This method returns a DataFrameWriter that is configured to save data using the specified mode. The defaultSaveModeisSaveMode.Append.
- (Optional) If you need to set some options for the save operation (e.g. columnOrder), call
       the optionsoroptionmethod.
- Call a saveAsTablemethod to save the data to the specified destination.
 Saving Data to a File on a StageTo use this object to write into a file:- Access an instance of a DataFrameWriter by calling the DataFrame.writemethod.
- Specify the save mode to use (Overwrite or ErrorIfExists) by calling the DataFrame.modemethod. This method returns a DataFrameWriter that is configured to save data using the specified mode. The defaultSaveModeisSaveMode.ErrorIfExistsfor this case.
- (Optional) If you need to set some options for the save operation (e.g. file format
       options), call the optionsoroptionmethod.
- Call the method named after a file format to save the data in the specified format:
       - To save the data in CSV format, call the csvmethod.
- To save the data in JSON format, call the jsonmethod.
- To save the data in PARQUET format, call the parquetmethod.
 
- To save the data in CSV format, call the 
 - Since:
- 1.1.0
 
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Method SummaryAll Methods Instance Methods Concrete Methods Modifier and Type Method Description DataFrameWriterAsyncActorasync()Returns a DataFrameWriterAsyncActor object that can be used to execute DataFrameWriter actions asynchronously.WriteFileResultcsv(String path)Saves the contents of the DataFrame to a CSV file on a stage.WriteFileResultjson(String path)Saves the contents of the DataFrame to a JSON file on a stage.DataFrameWritermode(SaveMode saveMode)Returns a new DataFrameWriter with the specified save mode configuration.DataFrameWritermode(String saveMode)Returns a new DataFrameWriter with the specified save mode configuration.DataFrameWriteroption(String key, Object value)Sets the specified option in the DataFrameWriter.DataFrameWriteroptions(Map<String,Object> configs)Sets multiple specified options in the DataFrameWriter.WriteFileResultparquet(String path)Saves the contents of the DataFrame to a Parquet file on a stage.voidsaveAsTable(String tableName)Writes the data to the specified table in a Snowflake database.voidsaveAsTable(String[] multipartIdentifier)Writes the data to the specified table in a Snowflake database.
 
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Method Detail- 
optionpublic DataFrameWriter option(String key, Object value) Sets the specified option in the DataFrameWriter.Sets the specified option for saving data to a table Use this method to configure options: - columnOrder: save data into a table with table's column name order if saveMode is Append and the target table exists.
 Use this method to configure options: Note that you cannot use the optionsoroptionmethods to set the following options:- The TYPE format type option.
- The OVERWRITE copy option. To set this option, use the modemethod instead.- To set OVERWRITE to TRUE, use SaveMode.Overwrite.
- To set OVERWRITE to FALSE, use SaveMode.ErrorIfExists.
 
- To set OVERWRITE to TRUE, use 
 For example: df.write().option("compression", "none").csv("@myStage/prefix");- Parameters:
- key- Name of the option.
- value- Value of the option.
- Returns:
- A DataFrameWriter
- Since:
- 1.4.0
 
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optionspublic DataFrameWriter options(Map<String,Object> configs) Sets multiple specified options in the DataFrameWriter.Sets the specified option for saving data to a table Use this method to configure options: - columnOrder: save data into a table with table's column name order if saveMode is Append and the target table exists.
 Use this method to configure options: Note that you cannot use the optionsoroptionmethods to set the following options:- The TYPE format type option.
- The OVERWRITE copy option. To set this option, use the modemethod instead.- To set OVERWRITE to TRUE, use SaveMode.Overwrite.
- To set OVERWRITE to FALSE, use SaveMode.ErrorIfExists.
 
- To set OVERWRITE to TRUE, use 
 For example: Map<String, Object> configs = new HashMap<>(); configs.put("compression", "none"); df.write().options(configs).csv("@myStage/prefix");- Parameters:
- configs- Map of the names of options (e.g.- compression, etc.) and their corresponding values.
- Returns:
- A DataFrameWriter
- Since:
- 1.5.0
 
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csvpublic WriteFileResult csv(String path) Saves the contents of the DataFrame to a CSV file on a stage.For example: df.write().option("compression", "none").csv("@myStage/prefix");- Parameters:
- path- The path (including the stage name) to the CSV file.
- Returns:
- A WriteFileResult
- Since:
- 1.5.0
 
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jsonpublic WriteFileResult json(String path) Saves the contents of the DataFrame to a JSON file on a stage.NOTE: You can call this method only on a DataFrame that contains a column of the type Variant, Array, or Map. If the DataFrame does not contain a column of one of these types, you must call the to_variant,array_construct, orobject_constructto return a DataFrame that contains a column of one of these types.For example: df.write().option("compression", "none").json("@myStage/prefix");- Parameters:
- path- The path (including the stage name) to the JSON file.
- Returns:
- A WriteFileResult
- Since:
- 1.5.0
 
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parquetpublic WriteFileResult parquet(String path) Saves the contents of the DataFrame to a Parquet file on a stage.For example: df.write().option("compression", "lzo").parquet("@myStage/prefix");- Parameters:
- path- The path (including the stage name) to the Parquet file.
- Returns:
- A WriteFileResult
- Since:
- 1.5.0
 
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saveAsTablepublic void saveAsTable(String tableName) Writes the data to the specified table in a Snowflake database.tableNamecan be a fully-qualified object identifier.For example: df.write().saveAsTable("db1.public_schema.table1");- Parameters:
- tableName- Name of the table where the data should be saved.
- Since:
- 1.1.0
 
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saveAsTablepublic void saveAsTable(String[] multipartIdentifier) Writes the data to the specified table in a Snowflake database.For example: df.write().saveAsTable(new String[]{"db_name", "schema_name", "table_name"})- Parameters:
- multipartIdentifier- A sequence of strings that specify the database name, schema name, and table name.
- Since:
- 1.1.0
 
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modepublic DataFrameWriter mode(String saveMode) Returns a new DataFrameWriter with the specified save mode configuration.- Parameters:
- saveMode- One of the following strings: `"APPEND"`, `"OVERWRITE"`, `"ERRORIFEXISTS"`, or `"IGNORE"`
- Returns:
- This DataFrameWriter
- Since:
- 1.1.0
 
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modepublic DataFrameWriter mode(SaveMode saveMode) Returns a new DataFrameWriter with the specified save mode configuration.- Parameters:
- saveMode- One of the following save modes:- SaveMode.Append,- SaveMode.Overwrite,- SaveMode.ErrorIfExists,- SaveMode.Ignore
- Returns:
- This DataFrameWriter
- Since:
- 1.1.0
 
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asyncpublic DataFrameWriterAsyncActor async() Returns a DataFrameWriterAsyncActor object that can be used to execute DataFrameWriter actions asynchronously.- Returns:
- A DataFrameWriterAsyncActor object
- Since:
- 1.2.0
 
 
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