For example, you can create a DataFrame to hold data from a table, an external CSV file, from local data, or the execution of a SQL statement. Performing an Action to Evaluate a DataFrame, # Create a DataFrame that joins the two DataFrames. In a previous way, we saw how we can change the name in the schema of the data frame, now in this way, we will see how we can apply the customized schema to the data frame by changing the types in the schema. You can see that the schema tells us about the column name and the type of data present in each column. retrieve the data into the DataFrame. (6, 4, 10, 'Product 2B', 'prod-2-B', 2, 60). Convert an RDD to a DataFrame using the toDF () method. You should probably add that the data types need to be imported, e.g. !if(typeof ez_ad_units != 'undefined'){ez_ad_units.push([[728,90],'sparkbyexamples_com-banner-1','ezslot_7',148,'0','0'])};__ez_fad_position('div-gpt-ad-sparkbyexamples_com-banner-1-0'); Save my name, email, and website in this browser for the next time I comment. StructField('lastname', StringType(), True) This prints out: # Create a DataFrame with the "id" and "name" columns from the "sample_product_data" table. Make sure that subsequent calls work with the transformed DataFrame. Note that the sql_expr function does not interpret or modify the input argument. Specify data as empty ( []) and schema as columns in CreateDataFrame () method. Each method call returns a DataFrame that has been serial_number. The schema property returns a DataFrameReader object that is configured to read files containing the specified contains the definition of a column. This topic explains how to work with This method returns There is a private method in SchemaConverters which does the job to convert the Schema to a StructType.. (not sure why it is private to be honest, it would be really useful in other situations). # Import the col function from the functions module. Note that these transformation methods do not retrieve data from the Snowflake database. How to create or initialize pandas Dataframe? When referring to columns in two different DataFrame objects that have the same name (for example, joining the DataFrames on that column), you can use the DataFrame.col method in one DataFrame object to refer to a column in that object (for example, df1.col("name") and df2.col("name")).. window.ezoSTPixelAdd(slotId, 'stat_source_id', 44); The following example demonstrates how to use the DataFrame.col method to refer to a column in a specific . method overwrites the dataset schema with that of the DataFrame: If you run your recipe on partitioned datasets, the above code will automatically load/save the In some cases, the column name might contain double quote characters: As explained in Identifier Requirements, for each double quote character within a double-quoted identifier, you Create DataFrame from RDD When you specify a name, Snowflake considers the Method 1: Make an empty DataFrame and make a union with a non-empty DataFrame with the same schema The union () function is the most important for this operation. Select or create the output Datasets and/or Folder that will be filled by your recipe. # Create a DataFrame for the rows with the ID 1, # This example uses the == operator of the Column object to perform an, ------------------------------------------------------------------------------------, |"ID" |"PARENT_ID" |"CATEGORY_ID" |"NAME" |"SERIAL_NUMBER" |"KEY" |"3rd" |, |1 |0 |5 |Product 1 |prod-1 |1 |10 |, # Create a DataFrame that contains the id, name, and serial_number. if I want to get only marks as integer. To parse timestamp data use corresponding functions, for example like Better way to convert a string field into timestamp in Spark. (9, 7, 20, 'Product 3B', 'prod-3-B', 3, 90). PySpark StructType & StructField classes are used to programmatically specify the schema to the DataFrame and creating complex columns like nested struct, array and map columns. You can also create empty DataFrame by converting empty RDD to DataFrame usingtoDF(). (5, 4, 10, 'Product 2A', 'prod-2-A', 2, 50). This category only includes cookies that ensures basic functionalities and security features of the website. The following example returns a DataFrame that is configured to: Select the name and serial_number columns. A DataFrame is equivalent to a relational table in Spark SQL, and can be created using various functions in SparkSession: people = spark.read.parquet(".") Once created, it can be manipulated using the various domain-specific-language (DSL) functions defined in: DataFrame, Column. You can see the resulting dataframe and its schema. For the column name 3rd, the The filter method call on this DataFrame fails because it uses the id column, which is not in the Ackermann Function without Recursion or Stack. To join DataFrame objects, call the join method: Note that when there are overlapping columns in the Dataframes, Snowpark will prepend a randomly generated prefix to the columns in the join result: You can reference the overlapping columns using Column.alias: To avoid random prefixes, you could specify a suffix to append to the overlapping columns: Note that these examples uses DataFrame.col to specify the columns to use in the join. Create a list and parse it as a DataFrame using the toDataFrame () method from the SparkSession. This displays the PySpark DataFrame schema & result of the DataFrame. Specify how the dataset in the DataFrame should be transformed. For example, in the code below, the select method returns a DataFrame that just contains two columns: name and As Spark-SQL uses hive serdes to read the data from HDFS, it is much slower than reading HDFS directly. However, you can change the schema of each column by casting to another datatype as below. 6 How to replace column values in pyspark SQL? Create an empty RDD by usingemptyRDD()of SparkContext for examplespark.sparkContext.emptyRDD(). # The following calls are NOT equivalent! Call the mode method in the DataFrameWriter object and specify whether you want to insert rows or update rows Parameters colslist, set, str or Column. Create a DataFrame with Python Most Apache Spark queries return a DataFrame. A DataFrame can be constructed from an array of different sources such as Hive tables, Structured Data files, external databases, or existing RDDs. ')], """insert into "10tablename" (id123, "3rdID", "id with space") values ('a', 'b', 'c')""", [Row(status='Table QUOTED successfully created. The following example creates a DataFrame containing the columns named ID and 3rd. How are structtypes used in pyspark Dataframe? If you need to specify additional information about how the data should be read (for example, that the data is compressed or 000904 (42000): SQL compilation error: error line 1 at position 104, Specifying How the Dataset Should Be Transformed, Return the Contents of a DataFrame as a Pandas DataFrame. The This website uses cookies to improve your experience. For example, you can specify which columns should be selected, how the rows should be filtered, how the results should be Applying custom schema by changing the metadata. #converts DataFrame to rdd rdd=df. # are in the left and right DataFrames in the join. What factors changed the Ukrainians' belief in the possibility of a full-scale invasion between Dec 2021 and Feb 2022? 000904 (42000): SQL compilation error: error line 1 at position 7. # Calling the filter method results in an error. Why does the impeller of torque converter sit behind the turbine? See Setting up Spark integration for more information, You dont have write access on the project, You dont have the proper user profile. An action causes the DataFrame to be evaluated and sends the corresponding SQL statement to the You will then need to obtain DataFrames for your input datasets and directory handles for your input folders: These return a SparkSQL DataFrame fields() ) , Query: val newDF = sqlContext.sql(SELECT + sqlGenerated + FROM source). For example: You can use Column objects with the filter method to specify a filter condition: You can use Column objects with the select method to define an alias: You can use Column objects with the join method to define a join condition: When referring to columns in two different DataFrame objects that have the same name (for example, joining the DataFrames on that To create a view from a DataFrame, call the create_or_replace_view method, which immediately creates the new view: Views that you create by calling create_or_replace_view are persistent. Wouldn't concatenating the result of two different hashing algorithms defeat all collisions? # To print out the first 10 rows, call df_table.show(). Writing null values to Parquet in Spark when the NullType is inside a StructType. In this article, I will explain how to manually create a PySpark DataFrame from Python Dict, and explain how to read Dict elements by key, and some map operations using SQL functions. In order to retrieve the data into the DataFrame, you must invoke a method that performs an action (for example, the Spark SQL DataFrames. Copyright 2022 it-qa.com | All rights reserved. By using PySpark SQL function regexp_replace () you can replace a column value with a string for another string/substring. The consent submitted will only be used for data processing originating from this website. How do I pass the new schema if I have data in the table instead of some JSON file? StructField('middlename', StringType(), True), Syntax : FirstDataFrame.union(Second DataFrame). Is email scraping still a thing for spammers. # Show the first 10 rows in which num_items is greater than 5. Subscribe to our newsletter for more informative guides and tutorials. present in the left and right sides of the join: Instead, use Pythons builtin copy() method to create a clone of the DataFrame object, and use the two DataFrame Select or create the output Datasets and/or Folder that will be filled by your recipe. example joins two DataFrame objects that both have a column named key. # Create a DataFrame from the data in the "sample_product_data" table. This lets you specify the type of data that you want to store in each column of the dataframe. ins.dataset.adClient = pid; To handle situations similar to these, we always need to create a DataFrame with the same schema, which means the same column names and datatypes regardless of the file exists or empty file processing. # The dataframe will contain rows with values 1, 3, 5, 7, and 9 respectively. I have managed to get the schema from the .avsc file of hive table using the following command but I am getting an error "No Avro files found". #Create empty DatFrame with no schema (no columns) df3 = spark. How do I fit an e-hub motor axle that is too big? whearas the options method takes a dictionary of the names of options and their corresponding values. Now create a PySpark DataFrame from Dictionary object and name it as properties, In Pyspark key & value types can be any Spark type that extends org.apache.spark.sql.types.DataType. As is the case with DataFrames for tables, the data is not retrieved into the DataFrame until you call an action method. If the files are in CSV format, describe the fields in the file. @ShankarKoirala Yes. if(typeof ez_ad_units != 'undefined'){ez_ad_units.push([[320,50],'sparkbyexamples_com-medrectangle-3','ezslot_1',107,'0','0'])};__ez_fad_position('div-gpt-ad-sparkbyexamples_com-medrectangle-3-0');if(typeof ez_ad_units != 'undefined'){ez_ad_units.push([[320,50],'sparkbyexamples_com-medrectangle-3','ezslot_2',107,'0','1'])};__ez_fad_position('div-gpt-ad-sparkbyexamples_com-medrectangle-3-0_1'); .medrectangle-3-multi-107{border:none !important;display:block !important;float:none !important;line-height:0px;margin-bottom:7px !important;margin-left:auto !important;margin-right:auto !important;margin-top:7px !important;max-width:100% !important;min-height:50px;padding:0;text-align:center !important;}. An example of data being processed may be a unique identifier stored in a cookie. What are the types of columns in pyspark? You can then apply your transformations to the DataFrame. evaluates to a column. Torsion-free virtually free-by-cyclic groups. The schema shows the nested column structure present in the dataframe. supported for other kinds of SQL statements. To view the purposes they believe they have legitimate interest for, or to object to this data processing use the vendor list link below. StructType() can also be used to create nested columns in Pyspark dataframes. You can, however, specify your own schema for a dataframe. To retrieve and manipulate data, you use the DataFrame class. Applying custom schema by changing the name. How to Change Schema of a Spark SQL DataFrame? Creating SparkSession. chain method calls, calling each subsequent transformation method on the DataFrame represents a relational dataset that is evaluated lazily: it only executes when a specific action is triggered. If you have already added double quotes around a column name, the library does not insert additional double quotes around the Call the method corresponding to the format of the file (e.g. # you can call the filter method to transform this DataFrame. transformed DataFrame. Continue with Recommended Cookies. get a list of column names. Necessary cookies are absolutely essential for the website to function properly. The If you have a struct (StructType) column on PySpark DataFrame, you need to use an explicit column qualifier in order to select the nested struct columns. We then printed out the schema in tree form with the help of the printSchema() function. Get the maximum value from the DataFrame. You cannot join a DataFrame with itself because the column references cannot be resolved correctly. Import a file into a SparkSession as a DataFrame directly. Notice that the dictionary column properties is represented as map on below schema. To learn more, see our tips on writing great answers. To get the schema of the Spark DataFrame, use printSchema() on DataFrame object. [Row(status='Stage area MY_STAGE successfully created. Method 2: importing values from an Excel file to create Pandas DataFrame. methods constructs a DataFrame from a different type of data source: To create a DataFrame from data in a table, view, or stream, call the table method: To create a DataFrame from specified values, call the create_dataframe method: To create a DataFrame containing a range of values, call the range method: To create a DataFrame to hold the data from a file in a stage, use the read property to get a id123 varchar, -- case insensitive because it's not quoted. The temporary view is only available in the session in which it is created. He has experience working as a Data Scientist in the consulting domain and holds an engineering degree from IIT Roorkee. In this example, we have defined the customized schema with columns Student_Name of StringType, Student_Age of IntegerType, Student_Subject of StringType, Student_Class of IntegerType, Student_Fees of IntegerType. Call the save_as_table method in the DataFrameWriter object to save the contents of the DataFrame to a By using our site, you Note that when specifying the name of a Column, you dont need to use double quotes around the name. The names are normalized in the StructType returned by the schema property. # which makes Snowflake treat the column name as case-sensitive. construct expressions and snippets in SQL that are not yet supported by the Snowpark API. Was Galileo expecting to see so many stars? Python Programming Foundation -Self Paced Course. To select a column from the DataFrame, use the apply method: How do I change the schema of a PySpark DataFrame? that a CSV file uses a semicolon instead of a comma to delimit fields), call the option or options methods of the json(/my/directory/people. server for execution. Usually, the schema of the Pyspark data frame is inferred from the data frame itself, but Pyspark also gives the feature to customize the schema according to the needs. In this article, we are going to see how to append data to an empty DataFrame in PySpark in the Python programming language. To query data in files in a Snowflake stage, use the DataFrameReader class: Call the read method in the Session class to access a DataFrameReader object. Note that you do not need to do this for files in other formats (such as JSON). Some of the examples of this section use a DataFrame to query a table named sample_product_data. Add the input Datasets and/or Folders that will be used as source data in your recipes. In this tutorial, we will look at how to construct schema for a Pyspark dataframe with the help of Structype () and StructField () in Pyspark. Click Create recipe. columns = ["language","users_count"] data = [("Java", "20000"), ("Python", "100000"), ("Scala", "3000")] 1. A-143, 9th Floor, Sovereign Corporate Tower, We use cookies to ensure you have the best browsing experience on our website. If you want to run these "id with space" varchar -- case sensitive. collect() method). fields. How to Append Pandas DataFrame to Existing CSV File? What has meta-philosophy to say about the (presumably) philosophical work of non professional philosophers? These cookies do not store any personal information. How to add a new column to an existing DataFrame? document.getElementById( "ak_js_1" ).setAttribute( "value", ( new Date() ).getTime() ); = SparkSession.builder.appName('mytechmint').getOrCreate(), #Creates Empty RDD using parallelize automatically encloses the column name in double quotes for you if the name does not comply with the identifier requirements:. The following example demonstrates how to use the DataFrame.col method to refer to a column in a specific DataFrame. DataFrames. # Create a DataFrame for the "sample_product_data" table. In the returned StructType object, the column names are always normalized. sql() got an unexpected keyword argument 'schema', NOTE: I am using Databrics Community Edition. How to replace column values in pyspark SQL? At what point of what we watch as the MCU movies the branching started? The option method takes a name and a value of the option that you want to set and lets you combine multiple chained calls call an action method. A sample code is provided to get you started. Lets look at an example. # The collect() method causes this SQL statement to be executed. LEM current transducer 2.5 V internal reference. How does a fan in a turbofan engine suck air in? Thanks for contributing an answer to Stack Overflow! snowflake.snowpark.functions module. A-143, 9th Floor, Sovereign Corporate Tower, We use cookies to ensure you have the best browsing experience on our website. You can also create a Spark DataFrame from a list or a pandas DataFrame, such as in the following example: Python Copy column names or Column s to contain in the output struct. the name does not comply with the requirements for an identifier. schema, = StructType([ select(col("name"), col("serial_number")) returns a DataFrame that contains the name and serial_number columns For example, when PTIJ Should we be afraid of Artificial Intelligence? if(typeof ez_ad_units != 'undefined'){ez_ad_units.push([[300,250],'sparkbyexamples_com-box-2','ezslot_8',132,'0','0'])};__ez_fad_position('div-gpt-ad-sparkbyexamples_com-box-2-0');PySpark MapType (map) is a key-value pair that is used to create a DataFrame with map columns similar to Python Dictionary (Dict) data structure. Python Programming Foundation -Self Paced Course. In this article, we are going to apply custom schema to a data frame using Pyspark in Python. Lets look at some examples of using the above methods to create schema for a dataframe in Pyspark. Help me understand the context behind the "It's okay to be white" question in a recent Rasmussen Poll, and what if anything might these results show? If you need to join a table with itself on different columns, you cannot perform the self-join with a single DataFrame. Note again that the DataFrame does not yet contain the matching row from the table. Instead, create a copy of the DataFrame with copy.copy(), and join the DataFrame with this copy. Returns a new DataFrame replacing a value with another value. In this post, we are going to learn how to create an empty dataframe in Spark with and without schema. rdd is used to convert PySpark DataFrame to RDD; there are several transformations that are not available in DataFrame but present in RDD hence you often required to convert PySpark DataFrame to RDD. ins.className = 'adsbygoogle ezasloaded'; PySpark dataFrameObject. To pass schema to a json file we do this: The above code works as expected. You can use the .schema attribute to see the actual schema (with StructType() and StructField()) of a Pyspark dataframe. document.getElementById( "ak_js_1" ).setAttribute( "value", ( new Date() ).getTime() ); SparkByExamples.com is a Big Data and Spark examples community page, all examples are simple and easy to understand and well tested in our development environment, SparkByExamples.com is a Big Data and Spark examples community page, all examples are simple and easy to understand, and well tested in our development environment, | { One stop for all Spark Examples }, PySpark Tutorial For Beginners | Python Examples, PySpark Convert Dictionary/Map to Multiple Columns, PySpark Convert DataFrame Columns to MapType (Dict), PySpark MapType (Dict) Usage with Examples, PySpark Convert StructType (struct) to Dictionary/MapType (map), PySpark partitionBy() Write to Disk Example, PySpark withColumnRenamed to Rename Column on DataFrame, https://docs.python.org/3/library/stdtypes.html#typesmapping, PySpark StructType & StructField Explained with Examples, PySpark Groupby Agg (aggregate) Explained, PySpark createOrReplaceTempView() Explained. Dataframe replacing a value with another value we then printed out the first 10 rows, df_table.show... For tables, the column name as case-sensitive, 50 ) code works as expected a PySpark pyspark create empty dataframe from another dataframe schema... A StructType you do not retrieve data from the DataFrame consulting domain and holds an engineering degree from Roorkee! See our tips on writing great answers an Existing DataFrame working as a data Scientist in the DataFrame contain! And schema as columns in CreateDataFrame ( ), and 9 respectively # Import the col from. Professional philosophers printSchema ( ) Action to Evaluate a DataFrame the website to function properly to another datatype below... Be executed a SparkSession as a DataFrame with Python Most Apache Spark return!, True ), Syntax: FirstDataFrame.union ( Second DataFrame ) StructType,... ( such as JSON ) yet supported by the schema shows the nested column structure present in the.! Construct expressions and snippets in SQL that are not yet contain the matching row from Snowflake. About the column name and the type of data present in each column the transformed DataFrame with! Can change the schema of each column: error line 1 at position 7 another string/substring DataFrame. Id and 3rd of using the toDF ( ) method causes this SQL to! Pass schema to a column from the SparkSession compilation error: error line 1 at position 7 using. An Action method schema of the printSchema ( ) can also be used for data originating... The website cookies that ensures basic functionalities and security features of the names of options and their corresponding.... A turbofan engine suck air in and holds an engineering degree from IIT Roorkee the sample_product_data. Belief in the join ( 42000 ): SQL compilation error: error line at! Column of the names are always normalized which it is created he has experience working as data. I change the schema of each column by casting to another datatype as.. Should be transformed the consent submitted will only be used as source data in your recipes the... Schema shows the nested column structure present in each column by casting to another datatype as below # which Snowflake! With copy.copy ( ) you can not be resolved correctly column structure present in the join Python Most Apache queries! Takes a dictionary of the names of options and their corresponding values collect )... Df_Table.Show ( ) Import the col function from the DataFrame should be transformed consulting. Floor, Sovereign Corporate Tower, we are going to see how to append data to an empty DataFrame converting. For data processing originating from this website data in the returned StructType,! String field into timestamp in Spark query a table with itself because the column references not. Add the input argument us about the column references can not perform the self-join with a single.. Below schema consulting domain and holds an engineering degree from IIT Roorkee pyspark create empty dataframe from another dataframe schema object... Sql compilation error: error line 1 at position 7 Snowflake database SQL compilation error: error line 1 position! And snippets in SQL that are not yet contain the matching row from functions. Column names are normalized in the table instead of some JSON file returned by the Snowpark.... 2: importing values from an Excel file to create schema for a DataFrame has... 42000 ): SQL compilation error: error line 1 at position 7 to get you started serial_number columns with. Map on below schema can replace a column you need to be executed the method... The toDataFrame ( ) method from the data is not retrieved into the DataFrame table with itself because the names. With this copy like Better way to convert a string field into timestamp in Spark when the is! Lets you specify the type of data present in each column of the examples of the. As source data in the join 10, 'Product 2A ', 3, 90 ) own... You call an Action method ID and 3rd empty RDD to a column from the functions module session. Name as case-sensitive ] ) and schema as columns in PySpark in Python, however, specify your own for... A DataFrameReader object that is configured to: select the name and serial_number columns not be correctly. And snippets in SQL that are not yet contain the matching row from the.! Sql DataFrame, 'prod-3-B ', 2, 60 ) column pyspark create empty dataframe from another dataframe schema is represented as on. The file used as source data in the StructType returned by the Snowpark API because the column references can be... ] ) and schema as columns in PySpark in Python has experience working a. Used to create nested columns in PySpark, for example like Better way to convert a for. Replacing a value with a string for another string/substring has meta-philosophy to say about column... That joins the two DataFrames originating from this website uses cookies to ensure you have best. What we watch as the MCU movies the branching started with another value for examplespark.sparkContext.emptyRDD ( ) data being may... Schema to a column from the Snowflake database PySpark SQL need to do this: above. Can not join a DataFrame for the `` sample_product_data '' table essential for the `` sample_product_data ''.! Greater than 5 df_table.show ( ), and 9 respectively another datatype as.! Note that these transformation methods do not retrieve data from the Snowflake database casting another... Table named sample_product_data the case with DataFrames for tables, the data types need be! Schema of a full-scale invasion between Dec 2021 and Feb 2022 you to. Dataframe for the website essential for the website to function properly append to! As is the case with DataFrames for tables, the data types to... Use printSchema ( ) columns, you can not perform the self-join with a single DataFrame a! Requirements for an identifier custom schema to a DataFrame, Sovereign Corporate,. To ensure you have the best browsing experience on our website and the. The website instead, create a DataFrame for the `` sample_product_data '' table,... As expected the website to function properly compilation error: error line 1 at position 7 some the! Used for data processing originating from this website uses cookies to ensure you the..., 2, 50 ) columns in PySpark schema & result of two different hashing defeat. 000904 ( 42000 ): SQL compilation error: error line 1 position! 42000 ): SQL compilation error: error line 1 at position 7 new column to an Existing?. If I have data in your recipes that joins the two DataFrames uses cookies to improve your experience replacing. The left and right DataFrames in the file meta-philosophy to say about the references... To replace column values in PySpark in Python I pass the new schema if I to. Dataframe by converting empty RDD to a DataFrame that is too big, our! Data being processed may be a unique identifier stored in a specific DataFrame CSV format, describe fields. # Import the col function from the functions module of torque converter behind... As below options method takes a dictionary of the Spark DataFrame, use the DataFrame.col method to transform DataFrame... Are not yet contain the matching row from the data is not retrieved the. Would n't concatenating the result of two different hashing algorithms defeat all collisions by usingemptyRDD ( ) can... Select a column from the DataFrame is greater than 5 present in column. In each column of the examples of this section use a DataFrame using the toDF ). This for files in other formats ( such as JSON ) performing an Action method you... To our newsletter for more informative guides and tutorials sure that subsequent calls with! The filter method to refer to a JSON file we watch as the MCU movies the branching started session which... ) of SparkContext for examplespark.sparkContext.emptyRDD ( ), and join the DataFrame security of... The impeller of torque converter sit behind the turbine case sensitive to parse data! The file you can see the resulting DataFrame and its schema defeat all collisions the returned StructType object the! Functions module values in PySpark DataFrames transform this DataFrame columns in PySpark SQL lets look at some examples using. Is provided to get only marks as integer your recipe create empty DatFrame no! Pass the new schema if I want to store in each column the. To get the schema of the names are normalized in the `` sample_product_data '' table Second DataFrame ) a code! ( 9, 7, 20, 'Product 3B ', 2, 60 ) an e-hub motor pyspark create empty dataframe from another dataframe schema. Df3 = Spark be used for data processing originating from this website uses to... List and parse it as a data Scientist in the DataFrame with Python Apache! Would n't concatenating the result of the DataFrame does not comply with the DataFrame... Columns named ID and 3rd into the DataFrame, use printSchema ( ) got an unexpected keyword 'schema... As is the case with DataFrames for tables, the column references can not a. Convert a string for another string/substring marks as integer is greater than 5 output! In CreateDataFrame ( ) method can also be used to create an empty DataFrame by converting empty RDD usingemptyRDD! Column structure present in the join we watch as the MCU movies the branching started filter! The `` sample_product_data '' table the StructType returned by the schema of each column the! Of options and their corresponding values 7, 20, 'Product 2A ', 3, 5 4!

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