Spark filter array contains pyspark. functions import col, array_contains df.

Spark filter array contains pyspark 'google. address. Jan 9, 2017 · How would I rewrite this in Python code to filter rows based on more than one value? i. ; line 1 pos 45; Can someone please help ? Apr 17, 2025 · Diving Straight into Filtering Rows by Substring in a PySpark DataFrame Filtering rows in a PySpark DataFrame where a column contains a specific substring is a key technique for data engineers using Apache Spark. Nov 23, 2024 · In Pyspark, you can filter data in many different ways, and in this article, I will show you the most common examples. functions import array_contains Learn how to filter PySpark DataFrame rows with the 'not in' operator. 3. Returns NULL if either input expression is NULL. where {val} is equal to some array of one or more elements. g. functions import array_contains(), col # Initialize Spark Session spark = SparkSession. functions. DataFrame. Code snippet from pyspark. contains): Jan 31, 2023 · In Apache Spark, you can use the where() function to filter rows in a DataFrame based on an array column. contains(other) [source] # Contains the other element. types. filter(array_contains(col('loyaltyMember. All these array functions accept input as an array column and several other arguments based on the function. Filtering Filter, where DataFrame. You can use array_contains () function either to derive a new boolean column or filter the DataFrame. Let‘s dive deep into how to apply contains() for efficient data exploration! What Exactly Does the PySpark contains() Function Do? The contains() function […] We are trying to filter rows that contain empty arrays in a field using PySpark. apache. 5. DataFrame and I want to keep (so filter) all rows where the URL saved in the location column contains a pre-determined string, e. 4 Oct 12, 2023 · This tutorial explains how to filter a PySpark DataFrame for rows that contain a specific string, including an example. Learn how to use PySpark string functions like contains, startswith, endswith, like, rlike, and locate with real-world examples. g: Suppose I want to filter a column contains beef, Beef: I can do: beefDF=df. org/docs/2. Oct 13, 2025 · PySpark pyspark. filter(expression) Returns a new DataFrame with a subset of rows determined by the boolean expression. getOrCreate() May 31, 2020 · function array_contains should have been array followed by a value with same element type, but it's [array<array<string>>, string]. filter(col, f) [source] # Returns an array of elements for which a predicate holds in a given array. Oct 12, 2023 · This tutorial explains how to use a case-insensitive "contains" in PySpark, including an example. contains(left, right) [source] # Returns a boolean. array_contains() but this only allows to check for one value rather than a list of values. Both left or right must be of STRING or BINARY type. city'), 'Prague')) This will filter all rows that have in the array column city element 'Prague'. The expression parameter is a boolean column expression that can be derived in various ways. 0 I have a PySpark dataframe that has an Array column, and I want to filter the array elements by applying some string matching conditions. con Jun 12, 2024 · In this PySpark article, users would then know how to develop a filter on DataFrame columns of string, array, and struct types using single and multiple conditions, as well as how to implement a filter using isin () using PySpark (Python Spark) examples. column. array_contains(col: ColumnOrName, value: Any) → pyspark. Column. Dataframe: Create Spark Session and sample DataFrame from pyspark. com One common use case for array_contains is filtering data based on the presence of a specific value in an array column. So let‘s get started! Apr 9, 2024 · Spark array_contains() is an SQL Array function that is used to check if an element value is present in an array type (ArrayType) column on DataFrame. contains() function works in conjunction with the filter() operation and provides an effective way to select rows based on substring presence within a string column. Example: from pyspark. array # pyspark. ArrayType (ArrayType extends DataType class) is used to define an array data type column on DataFrame that holds the same type of elements, In this article, I will explain how to create a DataFrame ArrayType column using pyspark. Overall, PySpark provides a wide range of capabilities for filtering complex data types. Jul 30, 2009 · array array_agg array_append array_compact array_contains array_distinct array_except array_insert array_intersect array_join array_max array_min array_position array_prepend array_remove array_repeat array_size array_sort array_union arrays_overlap arrays_zip ascii asin asinh assert_true atan atan2 atanh avg base64 between bigint bin binary Oct 12, 2023 · This tutorial explains how to filter for rows in a PySpark DataFrame that contain one of multiple values, including an example. builder. Mar 21, 2024 · PySpark, the Python API for Apache Spark, provides powerful capabilities for processing large-scale datasets. 4 you can filter array values using filter function in sql API. Feb 7, 2022 · 2 I'm going to do a query with pyspark to filter row who contains at least one word in array. filter # pyspark. For nested JSON data, you can use dot notation to refer to inner fields. 0/api/sql/index. For example, the dataframe is: pyspark. Changed in version 3. filter(df. To filter data based on NULLs, you can use the isnull() and isnotnull() functions. Nov 12, 2021 · test_df. types import ArrayType, IntegerType, StringType, StructField, StructType from pyspark. This tutorial covers the syntax and examples of using 'not in' to filter rows by column values, and how to use it with other PySpark functions like 'select' and 'where'. Nov 3, 2023 · This comprehensive guide will walk through array_contains () usage for filtering, performance tuning, limitations, scalability, and even dive into the internals behind array matching in Spark SQL. where() is an alias for filter(). a, None)) But it does not work and throws an error: AnalysisException: "cannot resolve 'array_contains (a, NULL)' due to data type mismatch: Null typed values cannot be used as arguments;;\n'Filter array_contains (a#166, null)\n+- LogicalRDD [a#166], false\n How should I filter in the correct way? Many thanks! Jan 27, 2017 · I have a large pyspark. array_contains(col, value) [source] # Collection function: This function returns a boolean indicating whether the array contains the given value, returning null if the array is null, true if the array contains the given value, and false otherwise. contains # pyspark. Apr 17, 2025 · Diving Straight into Filtering Rows by a List of Values in a PySpark DataFrame Filtering rows in a PySpark DataFrame based on whether a column’s values match a list of specified values is a powerful technique for data engineers using Apache Spark. 0: Supports Spark Connect. https://spark. I'm aware of the function pyspark. It returns a boolean column indicating the presence of each row’s value in the list. isin # Column. Jun 3, 2021 · I am trying to use a filter, a case-when statement and an array_contains expression to filter and flag columns in my dataset and am trying to do so in a more efficient way than I currently am. We‘ll cover simple examples through to complex use cases for unlocking the power of array data in your PySpark workflows. Otherwise, returns False. Examples Aug 9, 2020 · Just wondering if there are any efficient ways to filter columns contains a list of value, e. When dealing with array columns—common in semi pyspark. May 16, 2024 · The isin() function in PySpark is used to filter rows in a DataFrame based on whether the values in a specified column match any value in a given list. sql. ingredients. Aug 21, 2025 · The PySpark array_contains() function is a SQL collection function that returns a boolean value indicating if an array-type column contains a specified element. See full list on mungingdata. In this article, we provide an overview of various filtering Mar 17, 2023 · Collection functions in Spark are functions that operate on a collection of data elements, such as an array or a sequence. array_contains # pyspark. Currently I am doing the following (filtering using . Searching for matching values in dataset columns is a frequent need when wrangling and analyzing data. Filtering and transforming arrays: PySpark provides functions like array_contains(), array_distinct(), array_remove(), and transform() to filter and transform array elements. regexp(str, regexp) [source] # Returns true if str matches the Java regex regexp, or false otherwise. This operation is essential for selecting records with specific identifiers, categories, or attributes, such as filtering employees in certain Learn how to use PySpark string functions such as contains (), startswith (), substr (), and endswith () to filter and transform string columns in DataFrames. My question is related to: ARRAY_CONTAINS muliple values in hive, however I'm trying to achieve the above in a Python 2 Jupyter notebook. functions import explode df_exploded = df PySpark provides a simple but powerful method to filter DataFrame rows based on whether a column contains a particular substring or value. . filter(condition) [source] # Filters rows using the given condition. Aug 19, 2025 · PySpark SQL contains () function is used to match a column value contains in a literal string (matches on part of the string), this is mostly used to filter rows on DataFrame. filter # DataFrame. Eg: If I had a dataframe like this Mar 15, 2016 · 8 In spark 2. PySpark provides a handy contains() method to filter DataFrame rows based on substring or value existence. dataframe. filter ¶ DataFrame. e. Whether you're searching for names containing a certain pattern, identifying records with specific keywords, or refining datasets for analysis, this operation enables targeted data Nov 10, 2021 · I need to filter based on presence of "substrings" in a column containing strings in a Spark Dataframe. Mar 21, 2024 · Exploding Arrays: The explode(col) function explodes an array column to create multiple rows, one for each element in the array. One common task in data analysis and manipulation is filtering records based on Oct 1, 2021 · Spark version: 2. appName("arrayContainsExample"). Returns a boolean Column based on a string match. array(*cols) [source] # Collection function: Creates a new array column from the input columns or column names. html#filter Here's example in pyspark. Filter spark DataFrame on string contains Asked 9 years, 9 months ago Modified 6 years, 2 months ago Viewed 200k times Dec 19, 2022 · Use filter () to get array elements matching given criteria. This is useful for analyzing nested data (Spark How to Convert Array Column into Multiple Rows). 4. filter(array_contains(test_df. Nov 5, 2025 · In Spark & PySpark, contains () function is used to match a column value contains in a literal string (matches on part of the string), this is mostly used to filter rows on DataFrame. filter(condition: ColumnOrName) → DataFrame ¶ Filters rows using the given condition. isin(*cols) [source] # A boolean expression that is evaluated to true if the value of this expression is contained by the evaluated values of the arguments. It returns null if the array itself is null, true if the element exists, and false otherwise. Filtering NULL values NULL values require special handling in Spark. Jan 3, 2024 · In the realm of data engineering, PySpark filter functions play a pivotal role in refining datasets for data engineers, analysts, and scientists. com'. contains # Column. These examples demonstrate accessing the first element of the “fruits” array, exploding the array to create a new row for each element, and exploding the array with the position of each element. Column ¶ Collection function: returns null if the array is null, true if the array contains the given value, and false otherwise. For example: from pyspark Feb 2, 2025 · Filtering an Array Using FILTER in Spark SQL The FILTER function in Spark SQL allows you to apply a condition to elements of an array column, returning only those that match the criteria. These come in handy when we need to perform operations on an array (ArrayType) column. To achieve this, you can combine array_contains with PySpark's filtering capabilities, such as filter or where. These functions allow you to manipulate and transform the data in various Oct 1, 2019 · Suppose that we have a pyspark dataframe that one of its columns (column_a) contains some string values, and also there is a list of strings (list_a). Boost performance using predicate pushdown, partition pruning, and advanced filter functions. Oct 30, 2023 · This filters the array column for a specific element. Aug 19, 2025 · Learn how to filter values from a struct field in PySpark using array_contains and expr functions with examples and practical tips. BooleanType or a string of SQL expression. sql import SparkSession from pyspark. Jun 8, 2025 · Learn efficient PySpark filtering techniques with examples. The value is True if right is found inside left. If you want to follow along, you can run the following code to set up a PySpark Dataframe and get hands-on experience with filtering. functions import col, array_contains df. This function can be applied to create a new boolean column or to filter rows in a DataFrame. Mar 11, 2021 · The first solution can be achieved through array_contains I believe but that's not what I want, I want the only one struct that matches my filtering logic instead of an array that contains the matching one. In this comprehensive guide, we‘ll cover all aspects of using the contains() function in PySpark for your substring search needs. Here is the schema of the DF: root |-- created_at: timestamp (nullable = true) |-- screen_name: string (nullable Jul 30, 2009 · array array_agg array_append array_compact array_contains array_distinct array_except array_insert array_intersect array_join array_max array_min array_position array_prepend array_remove array_repeat array_size array_sort array_union arrays_overlap arrays_zip ascii asin asinh assert_true atan atan2 atanh avg base64 between bigint bin binary May 22, 2021 · This code snippet provides one example to check whether specific value exists in an array column using array_contains function. This post delves into various aspects of PySpark pyspark. ArrayType class and applying some SQL functions on the array columns with examples. The array_contains (col ("tags"), "urgent") checks if "urgent" exists in the tags array, returning false for null arrays (customer 3). Oct 12, 2023 · This tutorial explains how to filter rows in a PySpark DataFrame that do not contain a specific string, including an example. Parameters condition Column or str a Column of types. In the example we filter out all array values which are empty strings: Aug 19, 2025 · In this PySpark article, you will learn how to apply a filter on DataFrame columns of string, arrays, and struct types by using single and multiple conditions and also using isin() with PySpark (Python Spark) examples. regexp # pyspark. Since, the elements of array are of type struct, use getField () to read the string type field, and then use contains () to check if the string contains the search term. Apr 17, 2025 · How to Filter Rows with array_contains in an Array Column in a PySpark DataFrame: The Ultimate Guide Diving Straight into Filtering Rows with array_contains in a PySpark DataFrame Filtering rows in a PySpark DataFrame is a critical skill for data engineers and analysts working with Apache Spark in ETL pipelines, data cleaning, or analytics. This allows you to efficiently extract the desired subset of data that meets your criteria. Edit: This is for Spark 2. pyspark. Apr 26, 2024 · Spark with Scala provides several built-in SQL standard array functions, also known as collection functions in DataFrame API. Apr 22, 2024 · Apache Spark provides a rich set of functions for filtering array columns, enabling efficient data manipulation and exploration. You can use the array_contains() function to check if a specific value exists in an array Sep 5, 2019 · 29 I believe you can still use array_contains as follows (in PySpark): from pyspark.