pyspark rename column by index

SparkSession.range (start [, end, step, …]) Create a DataFrame with single pyspark.sql.types.LongType column named id, containing elements in a range from start to end (exclusive) with step value step. Group and aggregation operations are very common in any data manipulation and analysis, but pySpark change the column name to a format of aggFunc(colname). pyspark.sql.DataFrame.join. Adding two columns to existing PySpark DataFrame using withColumn. M Hendra Herviawan. In this article, I will explain several ways of how to rename a single specific column and multiple columns of the Pandas DataFrame using functions like DataFrame.rename(), DataFrame.columns.str.replace(), DataFrame.columns.values[], lambda function and more with examples. PySpark row | Working and example of PySpark row Rename Specific Columns in Pandas — SparkByExamples - All Zack Rename PySpark DataFrame Column - Methods and Examples ... #Data Wrangling, #Pyspark, #Apache Spark. We can use df.columns to access all the columns and use indexing to pass in the required columns inside a select . The following code snippet creates a DataFrame from a Python native dictionary list. Sun 18 February 2018. At its core, it is a generic engine for processing large amounts of data. Rename column name in SAS. Create a Series with both index and values equal to the index keys useful with map for returning an indexer based on an index. We can rename specific columns using rename(). PYSPARK ROW is a class that represents the Data Frame as a record. It allows you to delete one or more columns from your Pyspark Dataframe. columns. Drop multiple column. A StructType object or a string that defines the schema of the output PySpark DataFrame. Method 3. Df:- The PySpark DataFrame. To reorder the column in descending order we will be using Sorted function with an argument reverse =True. First argument is old name and Second argument is new name. 26, Jun 21. The following code snippet creates a DataFrame from a Python native dictionary list. The default is 'index'. Basically I need to loop through the column list and if the column exists already in the list, rename it to that column plus its index. Modifies the object directly, instead of creating a new Index or MultiIndex. If on is a string or a list of strings indicating the name of the join column (s), the column (s) must exist on both . This is beneficial to Python developers that work with pandas and NumPy data. Example: df = df.filter(df[3]!=0) will remove the rows of df, where the value in the fourth column is 0. Group and aggregation operations are very common in any data manipulation and analysis, but pySpark change the column name to a format of aggFunc(colname). Suppose we're dealing with a DataFrame df with columns A, B, and C. Rename specific columns. You can get the column index from the column name in Pandas using DataFrame.columns.get_loc() method. In this example, we want to lowercase the first two columns. copy bool, default True. What I mean is: how can I add a column with an ordered, monotonically increasing by 1 sequence 0:df.count? 23, Aug 21. In Spark withColumnRenamed () is used to rename one column or multiple DataFrame column names. Also copy underlying data. We use reduce function to pass list of oldColumns [] and newColumns [] 1 2 3 oldColumns = df.schema.names 4 newColumns = ["Student_name", "birthday_and_time","grade"] 5 6 DataFrame.first (offset) Select first periods of time series data based on a date offset. The aliasing gives access to the certain properties of the column/table which is being aliased to in PySpark. Drop a column that contains NA/Nan/Null values. When columns are nested it becomes complicated. df - A pandas dataframe.. index - Name(s) of columns to use as identifier variables. PySpark SQL types are used to create the . DataFrame.columns return all column labels of DataFrame as an Index and get_loc() is a method of Index that gives you a column Index for a given column. In this article, I will show you how to rename column names in a Spark data frame using Python. The species column holds the labels where 1 stands for mammal and 0 for reptile. Series.reindex_like (other) To select the columns by names, the syntax is df.loc [:,start:stop:step]; where start is the name of the first column to take, stop is the name of the last column to take, and step as the number of . lets get clarity with an example. PySpark Alias is a function in PySpark that is used to make a special signature for a column or table that is more often readable and shorter. to refresh your session. Use PySpark withColumnRenamed () to rename a DataFrame column, we often need to rename one column or multiple (or all) columns on PySpark DataFrame, you can do this in several ways. Python PySpark - DataFrame filter on multiple columns. how to rename a column in pyspark dataframe; pd.set_option('display.max_columns', None) rename columns pandas; rename columns in python; pandas change column to a string; spark df shape; number of rows in dataframe pyspark; pandas drop unnamed columns; pandas if else new column; pandas convert all column names to lowercase; change column order . 23, Aug 21. df = pd.DataFrame(technologies,index=index_labels) df = df.rename_axis(index='RowNumber', columns="Row") print(df) # Set Name and Index axis # Row Courses Fee Duration Discount # RowNumber # r1 Spark 20000 30days 1000 # r2 PySpark 25000 40days 2300 # r3 Python 22000 35days 1200 # r4 . Method 1: Using withColumnRenamed() We will use of withColumnRenamed() method to change the column names of pyspark data frame. July 24, 2021. We will be using the table name CARS. # This function efficiently rename pivot tables' urgly names def rename_pivot_cols (rename_df, remove_agg): """change spark pivot table's default ugly column names at ease. Selecting multiple columns by index. Apache Spark is a fast and general-purpose cluster computing system. Select single column in pyspark. convert all the columns to snake_case. 09, Sep 21. Pandas DataFrame.rename () method is used to rename/change/replace column (single & multiple columns), by index, and all columns of the DataFrame. pyspark.pandas.MultiIndex.rename. In order to drop rows in pyspark we will be using different functions in different circumstances. Example 1: Renaming the single column in the data frame Test Data Following is the test DataFrame that we will be using in subsequent methods and examples. Python PySpark - DataFrame filter on multiple columns. Example 2: Select columns using indexing. ; 1. To register the dataframe as temporary view, we have to use createTempView() on top of our dataframe in Spark. 26, Jun 21. Example: In this example, we are going to iterate three-column rows using iterrows () using for loop. str. Series.reindex ([index, fill_value]) Conform Series to new index with optional filling logic, placing NA/NaN in locations having no value in the previous index. Spark is written in Scala and runs on the Java Virtual Machine. Then it will be tedious to rename all the column names one by one. It provides high-level APIs in Java . You can also change the index name in place. drop() method is used to remove columns or rows from DataFrame. df. We can use df.columns to access all the columns and use indexing to pass in the required columns inside a select . newstr: New column name. To rename specific columns in pandas DataFrame use rename() method. Spark has built-in components for processing streaming data, machine learning, graph processing, and even interacting with data via SQL. This post shows you how to select a subset of the columns in a DataFrame with select.It also shows how select can be used to add and rename columns. The syntax for the PYSPARK SUBSTRING function is:-df.columnName.substr(s,l) column name is the name of the column in DataFrame where the operation needs to be done. Series.rename ([index]) Alter Series name. drop single & multiple colums in pyspark is accomplished in two ways, we will also look how to drop column using column position, column name starts with, ends with and contains certain character value. You should have some ordering built in to your data based on . Whats people lookup in this blog: Drop a column that contains a specific string in its name. Method 1: Rename Specific Columns. Indexing starts from 0 and has total n-1 numbers representing each column with 0 as first and n-1 as last nth column. Reload to refresh your session. Example 1: Renaming the single column in the data frame This method is used to iterate row by row in the dataframe. Syntax: DataFrame.withColumnRenamed(existing, new) Parameters. we can use withColumn() or else we can also use SQL statement by registering the Dataframe as a temporary view and write a query to add or rename or drop a column. Depends on the DataFrame schema, renaming columns might get simple to complex, especially when a column is nested with struct type it gets complicated. add column to start of dataframe pandas. Pandas' .nsmallest() and .nlargest() methods sensibly excludes missing values. Note that you can check the columns using df.printSchema() Indexing provides an easy way of accessing columns inside a dataframe. Data Science. Python. columns = df. L:- The Length to which the Substring needs to be extracted. If you've used R or even the pandas library with Python you are probably already familiar with the concept of DataFrames. If your dataframe is large containing many columns and column names have spaces. Rename multiple columns in pyspark using withcolumnRenamed () withColumnRenamed () takes up two arguments. This is a conversion operation that converts the column element of a PySpark data frame into list. Before that, we have to convert our PySpark dataframe into Pandas dataframe using toPandas () method. Lots of approaches to this problem are not . Python. In the below example we will use a simple binary dataset used to classify if a species is a mammal or reptile. replace the dots in column names with underscores. create column with values mapped from another column python. 09, Sep 21. We can alias more as a derived name for a Table or column in a PySpark Data frame / Data set. Returns type: Returns a data frame by renaming an existing column. pyspark.sql.DataFrame A distributed . existingstr: Existing column name of data frame to rename. Merge join and concatenate pandas 0 25 dev0 752 g49f33f0d doentation pyspark joins by example learn marketing is there a better method to join two dataframes and not have duplicated column databricks community forum merge join and concatenate pandas 0 25 dev0 752 g49f33f0d doentation. df.printSchema . Using Pandas.DataFrame.loc [] - Select Columns by Names or Labels. Lots of approaches to this problem are not . We can create a row object and can retrieve the data from the Row. df - dataframe colname1..n - column name We will use the dataframe named df_basket1.. Salting. In [20]: df = pd.DataFrame(data) In [21]: df.rename(columns=lambda x: x.replace(" ","_")) Out [21]: DataFrame.head ([n]) Return the first n rows. Python. Name (s) to set. Python queries related to "rename a column in pyspark dataframe" rename columns of a pandas dataframe; change collum name pandas; rename clomn pandas; python panda rename column does not change the nam,e; change domain name column in pandas dataframe; rename column pandas dataframe; pandas create dataframe with row and column names By using the selectExpr () function Using the select () and alias () function Using the toDF () function The row class extends the tuple, so the variable arguments are open while creating the row class. S:- The starting Index of the PySpark Application. Spark DataFrame expand on a lot of these concepts, allowing you to transfer that knowledge . Use axis param to specify what axis you would like to remove.By default axis = 0 meaning to remove rows. We look into both the method one by one with hands-on . Most PySpark users don't know how to truly harness the power of select.. DataFrame.rename ([mapper, index, columns Use axis=1 or columns param to remove columns. Subset rows or columns of dataframe according to labels in the specified index. Let's create a dataframe. df_basket1.select('Price').show() We use select and show() function to select particular column. Deleting or Dropping column in pyspark can be accomplished using drop() function. You'll often want to rename columns in a DataFrame. For a dataframe df, you can select the column n using df[n], where n is the index of the column. convert all the columns to snake_case. Syntax: DataFrame.withColumnRenamed(existing, new) Parameters. add multiple columns to dataframe if not exist pandas. df.printSchema . add column to df from another df. # Get pandas index title/name by index and Column parameter. This blog post explains how to rename one or all of the columns in a PySpark DataFrame. Option 1: remove_agg = True: `2_sum(sum_amt)` --> `sum_amt_2`. # Print DataFrame without index blankIndex=[''] * len(df) df.index=blankIndex print(df) 4. Working of Column to List in PySpark. PySpark dataframe add column based on other columns. To delete a column, Pyspark provides a method called drop (). The most intuitive way would be something like this: group_df = df.groupby('colname').max('value_column').alias('max_column') However, this won't change anything, neither did it give… Better way is to use the lambda method. The following . Apache Spark tutorial to learn adding column to the Dataframe. Syntax: RENAME old-name-1=new-name-1 <…old-name-n=new-name-n>; newstr: New column name. The most pysparkish way to create a new column in a PySpark DataFrame is by using built-in functions. Rename multiple column in SAS. Here are some examples: remove all spaces from the DataFrame columns. append one column pandas dataframe. To reorder the column in ascending order we will be using Sorted function. Example 3: Using df.printSchema () Another way of seeing or getting the names of the column present in the dataframe we can see the Schema of the Dataframe, this can be done by the function printSchema () this function is used to print the schema of the Dataframe from that scheme we can see all the column names. Column renaming is a common action when working with data frames. This usually not the column name you'd like to use. df. The return type of a Data Frame is of the type Row so we need to convert the particular column data into List that can be used further for analytical approach. Returns a DataFrameReader that can be used to read data in as a DataFrame. How to Rename Multiple PySpark DataFrame Columns. Example 2: Select columns using indexing. The same type as the caller or None if inplace is True. Method 1: Using withColumnRenamed() We will use of withColumnRenamed() method to change the column names of pyspark data frame. inplace bool, default False axis {0 or 'index', 1 or 'columns'}, default 0. My attempted code was something like this: def dup_cols(df): for i, icol in enumerate(df.columns): for x, xcol in enumerate(df.columns): if icol == xcol and i != x: df = df.withColumnsRenamed(xcol, xcol . We also rearrange the column by position. MultiIndex.to_frame ([index, name]) Create a DataFrame with the levels of the MultiIndex as columns. We are often required to change the column name of the DataFrame before we perform any operations; in fact, rename () is one of the most searched and used methods of the Pandas DataFrame. SparkSession.readStream. Able to set new names without level. Rename all the column in SAS. # rename province to state df1.rename(columns={'Province': 'State'}, inplace=True) the column named Province is renamed to State with the help of rename() Function so the resultant dataframe will be Rename the specific column value by index in python: Below code . We can use .withcolumn along with PySpark SQL functions to create a new column. This usually not the column name you'd like to use. Use inplace=True to remove row/column in place meaning on existing DataFrame with out creating copy. For example, in order to retrieve the first three columns then the following expression should do the trick: PySpark dataframe add column based on other columns. Axis to target with mapper. You signed in with another tab or window. Method 2: Rename All Columns. 1. Select() function with column name passed as argument is used to select that single column in pyspark. SparkSession.read. You may use the following approach to convert index to column in Pandas DataFrame (with an "index" header): df.reset_index (inplace=True) And if you want to rename the "index" header to a customized header, then use: df.reset_index (inplace=True) df = df.rename (columns = {'index':'new column name'}) Later, you'll also . 23, Aug 21. 2. (from comments) You can use row_number() here, but for that you'd need to specify an orderBy().Since you don't have an ordering column, just use monotonically_increasing_id().. from pyspark.sql.functions import row_number, monotonically_increasing_id from pyspark.sql import Window df = df . In order to Rearrange or reorder the column in pyspark we will be using select function. We will see the following points in the rest of the tutorial : Drop single column. However, PySpark doesn't have equivalent methods. To get the same output, we first filter out the rows with missing mass, then we sort the data and inspect the top 5 rows.If there was no missing data, syntax could be shortened to: df.orderBy('mass').show(5). In essence . Example 3: Using df.printSchema () Another way of seeing or getting the names of the column present in the dataframe we can see the Schema of the Dataframe, this can be done by the function printSchema () this function is used to print the schema of the Dataframe from that scheme we can see all the column names. What is PySpark? PySpark SQL types are used to create the . Rename column / index name (label)): rename() You can use the rename() method of pandas.DataFrame to change column / index name individually.. pandas.DataFrame.rename — pandas 1.1.2 documentation; Specify the original name and the new name in dict like {original name: new name} to columns / index argument of rename().. columns is for the columns name and index is for index name. By using pandas.DataFrame.loc [] you can select columns by names or labels. drop() Function with argument column name is used to drop the column in pyspark. In pyspark, there are several ways to rename these columns: By using the function withColumnRenamed () which allows you to rename one or more columns. DataFrame.last (offset) Select final periods of time series data based on a date offset. 23, Aug 21. Pyspark: Dataframe Row & Columns. Now if you want to select columns based on their index, then you can simply slice the result from df.columns that returns a list of column names. Here are some examples: remove all spaces from the DataFrame columns. Rename single column in SAS. Adding a new column in pandas dataframe from another dataframe with different index. Following are some methods that you can use to rename dataFrame columns in Pyspark. Drop rows with condition in pyspark are accomplished by dropping - NA rows, dropping duplicate rows and dropping rows by specific conditions in a where clause etc. Here we are using dtypes followed by startswith() method to get the columns of a particular type. You'll often want to rename columns in a DataFrame. Adding two columns to existing PySpark DataFrame using withColumn. ¶. Use hide_index() By using hide_index() method, you can hide the Index of the DataFrame. Syntax: dataframe[[item[0] for item in dataframe.dtypes if item[1].startswith('datatype')]] where, dataframe is the input dataframe; datatype refers the keyword types; item defines the values in the column Alter Index or MultiIndex name. Python. group by multiple columns order; pyspark get group column from group object; groupby in pyspark; multiple functions groupby pandas; dataframe groupby multidimensional key; group by 2 columns pandas displaying multiple rows; pd group by multiple columns value condition; pandas how to group by multiple columns using different statistic for each . This post also shows how to add a column with withColumn.Newbie PySpark developers often run withColumn multiple times to add multiple columns because there isn't a . The most intuitive way would be something like this: group_df = df.groupby('colname').max('value_column').alias('max_column') However, this won't change anything, neither did it give… You signed out in another tab or window. In Spark, dataframe is actually a wrapper around RDDs, the basic data structure in Spark. ¶. Indexing starts from 0 and has total n-1 numbers representing each column with 0 as first and n-1 as last nth column. columns = [' new_col1 ', ' new_col2 ', ' new_col3 ', ' new_col4 '] Method 3: Replace Specific Characters in Columns. replace (' old_char ', ' new_char ') The following examples show how to use each of these methods in practice. Use withColumnRenamed Function toDF Function to Rename All Columns in DataFrame Use DataFrame Column Alias method Now let use check these methods with an examples. Note that we can rename any number of columns. Alternative to specifying axis (mapper, axis=1 is equivalent to columns=mapper). We can create row objects in PySpark by certain parameters in PySpark. Series.rename_axis ([mapper, index, inplace]) Set the name of the axis for the index or columns. UIjVTRR, LrRhQs, BBLlOY, Hqhi, tQmK, gGdwPQf, JTS, jBXesX, TsaiSlY, nquO, wpGtY, Will see the following code snippet creates a dataframe what axis you would like to remove.By axis! For reptile PySpark dataframe adding two columns to existing PySpark dataframe using withColumn that knowledge methods. Default is & # x27 ; t have equivalent methods streaming data Machine! Processing large amounts of data frame by renaming an existing column name in place meaning on existing with. Aliased to in PySpark index or columns to rename all the columns and use indexing to pass in the example! Of time series data based on a lot of these concepts, you! Spark has built-in components for processing streaming data, Machine learning, graph processing, and even interacting data! With argument column name in place meaning on existing dataframe with out creating copy the columns and indexing...: //www.educba.com/pyspark-alias/ '' > Spark withColumnRenamed to rename column — SparkByExamples < /a 2. Examples: remove all spaces from the dataframe columns add multiple columns pyspark rename column by index from pandas to PySpark can create a dataframe toPandas ( ) on top of dataframe... Iterate row by row in the rest of the axis for the index of the column/table which is aliased... Pyspark Application has total n-1 numbers representing each column with 0 as first and n-1 as last column... By using Pandas.DataFrame.loc [ ] you can hide the index name in SAS is accomplished using rename )! Object directly, instead of creating a new index or columns column that a... With PySpark SQL functions to create a row object and can retrieve the data frame as a record example. Written in Scala and runs on the Java Virtual Machine the Length to which the Substring needs to extracted. Select columns by names or labels species column holds the labels where stands! | Working of Alias in PySpark | examples < /a > drop ( method... A select dataframe.. index - name ( s ) of columns to use as identifier.! Going to iterate row by row in pyspark rename column by index rest of the tutorial: drop single column in order. Offset ) select final periods of time series data based on a lot of these concepts, allowing to! What is PySpark: //www.educba.com/pyspark-alias/ '' > how to pyspark rename column by index columns in a Spark frame... With 0 as first and n-1 as last nth column, the basic data in... Levels of the axis for the index name in SAS is accomplished using rename Keyword rename.... And n-1 as last nth column access all the columns and use indexing to pass the! Ordering built in to your data based on adding a new column in PySpark < /a what... Remove columns or rows from dataframe use axis param to specify what axis would!, using the given join expression remove rows s look at another way of accessing columns a. Index name in SAS is accomplished using rename ( ) using for loop reverse =True graph,! Axis for the index or columns different index string in its name specify what axis you like. Rename any number of columns to existing PySpark dataframe columns using.sort on the Java Virtual Machine best if! A pandas dataframe from a Python native dictionary list to in PySpark use! ) by using hide_index ( ) by using hide_index ( ) by using Pandas.DataFrame.loc [ ] - columns! From the dataframe as temporary view, we are going to iterate row by row in the pyspark rename column by index the. Data, Machine learning, graph processing, and even interacting with data SQL! To Python developers that work with pandas and NumPy data remove_agg = True: ` 2_sum ( sum_amt `! Has total n-1 numbers representing each column with 0 as first and n-1 as last nth column rest the. A PySpark data frame into list > Spark withColumnRenamed to rename column names in a data... Has total n-1 numbers representing each column with 0 as first and n-1 as last nth column properties of column/table... Pyspark 3.2.0 documentation < /a > drop ( ) function with column name you & # ;. For processing large amounts of data frame to rename column names have spaces meaning to remove row/column place... Different index: data frame as a derived name for a Table or column in dataframe! Have some ordering built in to your data based on a lot of these concepts, allowing you transfer! Engine for processing large amounts of data know how to rename columns a. Following code snippet creates a dataframe > PySpark dataframe string in its name by... < >... Use indexing to pass in the below example we will be using Sorted function rename ( ) method mammal! Spark SQL — PySpark 3.2.0 documentation < /a > method 2: rename all the column of... Power of select Spark has built-in components for processing streaming data, pyspark rename column by index,... Using.sort methods and examples different index following is the test dataframe that we will be using in methods. Or reptile a PySpark data frame using Python 3.7 or the latest df.columns to access the... 24, 2021 to classify if a species is a fast and general-purpose cluster computing.... Delete columns in PySpark conversion operation that converts the column in pandas dataframe.. index - name ( s of. Column/Table which is being aliased to in PySpark rows using iterrows ( ) method, you can hide the or... Another way of accessing columns inside a select to PySpark remove_agg =:. # PySpark, # PySpark, # Apache Spark to existing PySpark dataframe Spark data frame to rename names... Be tedious to rename offset ) select final periods of time series data based on date! Example we will see the following points in the required columns inside a dataframe needs to be.. On a date offset can retrieve the data frame as a derived for... Create row objects in PySpark PySpark by certain Parameters in PySpark < /a > method 3 this example we! With 0 as first and n-1 as last nth column one or more columns your. Example, we are going to iterate three-column rows using iterrows ( ) method a simple binary dataset used drop! 1: remove_agg = True: ` 2_sum ( sum_amt ) ` -- & gt ; ` sum_amt_2 `:. Users don & # x27 ; ll often want to lowercase the first two columns for a or! Second argument is used to iterate row by row in the below example will. Creating copy test data following is the test dataframe that we can use to... Column name of data use axis param to specify what axis you like... ; ll often want to rename all columns in subsequent methods and examples,,... Representing each column with 0 as first and n-1 as last nth column: returns a data /. Df - a pandas dataframe.. index - name ( s ) of columns Parameters PySpark! - the starting index of the axis for the index of the axis for index. Values mapped from another column Python to your data based on a date offset have equivalent methods names spaces... A mammal or reptile: //www.educba.com/pyspark-substring/ '' > Spark SQL — PySpark 3.2.0 documentation < >. | Working of Alias in PySpark s ) of columns to existing PySpark dataframe using toPandas ( function! Data via SQL you pyspark rename column by index using Python, Machine learning, graph processing, and even interacting data... Using.sort s look at another way of sorting using pyspark rename column by index and has total n-1 numbers each! As a derived name for a Table or column in pandas dataframe.. -., using the given join expression more columns from your PySpark dataframe.! New column below example we will be using Sorted function with column in. — PySpark 3.2.0 documentation < /a > what is PySpark a generic engine for processing large of! Runs on the Java Virtual Machine be used to drop the column in descending order will! Provides an easy way of sorting using.sort ` 2_sum ( sum_amt ) ` -- & gt `! Converts the column in pandas dataframe from a Python native dictionary list //www.educba.com/pyspark-substring/ '' > PySpark dataframe column... One with hands-on then it will be using Sorted function with an argument reverse =True / data.. Look into both the method one by one column names have spaces in place meaning on existing dataframe with creating. Graph processing, and even interacting with data via SQL of data frame using Python columns rows! Type as the caller or None if inplace is True it allows to... Default axis = 0 meaning to remove rows ( offset ) select periods! Method 3 row by row in the required columns inside a select graph processing, and interacting! This is beneficial to Python developers that work with pandas and NumPy data df a! Frame or series depending on Parameters more as a derived name for a Table or column in descending we. From your PySpark dataframe into pandas dataframe.. index - name ( s ) columns! Hide the index or MultiIndex rename column name is used to remove rows example: this... The columns and use indexing to pass in the required columns inside a.... Drop single column a select use indexing to pass in the required columns inside dataframe... One dataframe by another code example < /a > PySpark Substring | Learn the use Substring! That, we want to rename columns in PySpark with another dataframe, using the given join expression Alias Working! From pandas to PySpark not exist pandas PySpark groupby multiple columns code example < /a > July,! A record existingstr: existing column / data Set another way of accessing columns inside select! And runs on the Java Virtual Machine function with argument column name passed as argument is used read.
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