Spark get size of dataframe in bytes example. For small datasets, a small number of partitions (e.

Spark get size of dataframe in bytes example glom(). I'm trying to debug a skewed Partition issue, I've tried this: l = builder. Mar 27, 2024 · PySpark Example: How to Get Size of ArrayType, MapType Columns in PySpark 1. Parquet Files Loading Data Programmatically Partition Discovery Schema Merging Hive metastore Parquet table conversion Hive/Parquet Schema Reconciliation Metadata Refreshing Columnar Encryption KMS Client Data Source Option Configuration Parquet is a columnar format that is supported by many other data processing systems. Measuring DataFrame Size in Memory When working with Spark, knowing how much memory your DataFrame uses is crucial for optimization. Mar 14, 2024 · When writing a Spark DataFrame to files like Parquet or ORC, ‘the partition count and the size of each partition’ is one of the main concerns. size attribute. Other topics on SO suggest using SizeEstimator. sessionState. val parquetSize: Long = ParquetSizeCalculator. I want to write one large sized dataframe with repartition, so I want to calculate number of repartition for my source dataframe. May 6, 2016 · import repartipy # Use this if you have enough (executor) memory to cache the whole DataFrame # If you have NOT enough memory (i. Spark SQL provides support for both reading and writing Parquet files In this example, we initialize a Spark session, create a sample DataFrame (df), and then calculate the approximate size of the DataFrame in bytes using the formula: useMemory * numPartitions. . def df_size (df): """Return the size of a DataFrame in Megabyes""" total = 0. How to write a spark dataframe in partitions with a maximum limit in the file size. You should replace this with your actual DataFrame. _jdf. Jul 31, 2023 · Learn how to inspect Parquet files using Spark for scalable data processing. For small datasets, a small number of partitions (e. sessionState(). Some operations like map, flatMap, etc. Example of a Broadcast Join For May 5, 2022 · When you're processing terabytes of data, you need to perform some computations in parallel. logical() size_bytes = spark. estimate from org. This is especially important since compressed formats I'm doing calculations on a cluster and at the end when I ask summary statistics on my Spark dataframe with df. I need to group by Person and then collect their Budget items into a list, to perform a further calculation. sizeInBytes df_size_in_bytes } With this method is mandatory to cache the df, and because it is a lazy operation you need to perform the foreach action, a little How to find size of a dataframe using pyspark? I am trying to arrive at the correct number of partitions for my dataframe and for that I need to find the size of my df. estimate() RepartiPy leverages Caching Approach internally, as described in Kiran Thati & David C. Mar 27, 2025 · Processing large datasets efficiently is critical for modern data-driven businesses, whether for analytics, machine learning, or real-time processing. with repartipy. appName ("DataFrameSize"). Caching Data Tuning Partitions Coalesce Hints Quick reference for essential PySpark functions with examples. g. Hash Mar 27, 2024 · Spark provides several read options that help you to read files. Is there anyway to find the size of a data frame . map(len). In Python, I can do this: Dec 9, 2023 · Discover how to use SizeEstimator in PySpark to estimate DataFrame size. Dataframe uses project tungsten for a much more efficient memory representation. display. Here’s how to load a CSV file into a DataFrame: By "how big," I mean the size in bytes in RAM when this DataFrame is cached, which I expect to be a decent estimate for the computational cost of processing this data. Nov 16, 2021 · def checkSize(df: DataFrame)(implicit spark: SparkSession) = { df. How memory_usage deep=True works To get the total DataFrame size in bytes: df. memory_usage(deep=False) result: Index 146309736 count 146309736 date 146309736 hour 146309736. Oct 5, 2023 · Since Spark 3. Return the number of rows if Series. Examples A DataFrame is equivalent to a relational table in Spark SQL, and can be created using various functions in SparkSession: Binary File Data Source Since Spark 3. Jun 19, 2020 · I am new to spark ,I want to do a broadcast join and before that i am trying to get the size of my data frame that i want to broadcast. range (10) scala> print (spark. Dec 3, 2014 · So you can estimate it's size just by multiplying the size of the dtype it contains with the dimensions of the array. If there's no code/library over there, I would appreciate an advice of how to calculate it by myself. For example, in log4j, we can specify max file size, after which the file rotates. Discover limits and improve partitioning with G-Research's expert insights. logical). Pyspark filter string not contains Spark – RDD filter Spark RDD Filter : RDD class We use the built-in Python method, len , to get the length of any sequence, ordered or The data I'll be using here contains Stack Overflow questions and associated tags. GitHub Gist: instantly share code, notes, and snippets. maxPartitionBytes = 128MB should I first calculate No. spark. table("users") // I expect that `parquetSize` is 10MB. You can work out the size in memory from its data type; an array of 100 bytes takes 100 bytes; a long takes 8 bytes, etc. The output reflects the maximum memory usage, considering Spark's internal optimizations. createDataFrame (data, columns) # Get the size of the DataFrame in bytes size Nov 23, 2023 · Sometimes it is an important question, how much memory does our DataFrame use? And there is no easy answer if you are working with PySpark. You can try to collect the data sample and run local memory profiler. size # pyspark. functions. Mar 27, 2024 · Similar to Python Pandas you can get the Size and Shape of the PySpark (Spark with Python) DataFrame by running count() action to get the number of rows on DataFrame and len(df. Reading Data # 1. , the number of rows it contains. Finding the Size of a DataFrame There are several ways to find the size of a DataFrame in PySpark. ? My Production system is running on < 3. Jul 4, 2016 · Is there a way to calculate the size in bytes of an Apache spark Data Frame using pyspark? pandas. Mar 27, 2024 · Question: In Spark & PySpark is there a function to filter the DataFrame rows by length or size of a String Column (including trailing spaces) and also show how to create a DataFrame column with the length of another column. The size of a partition in Spark can have a significant impact on the performance of a Spark application. Create a DataFrame # There are several ways to create a DataFrame in PySpark. In case when we Estimate size of Spark DataFrame in bytes. sql. Examples Feb 26, 2018 · I have a massive pyspark dataframe. Jan 26, 2016 · If you convert a dataframe to RDD you increase its size considerably. Otherwise return the number of rows times number of columns if DataFrame. float64 array which is: 4bytes*2*1000 + 8bytes*5*1000 = 48000 bytes Chapter 2: A Tour of PySpark Data Types # Basic Data Types in PySpark # Understanding the basic data types in PySpark is crucial for defining DataFrame schemas and performing efficient data processing. Learn data transformations, string manipulation, and more in the cheat sheet. SizeEstimator(spark=spark, df=df) as se: df_size_in_bytes = se. 0 spark version. sizeInBytes() # always try to remember to free cached data once finished Apr 12, 2024 · The pandas. In this column, we extract a substring starting from the 2nd position with a length of 3 characters. Feb 21, 2018 · I am relatively new to Apache Spark and Python and was wondering how to get the size of a RDD. You’ll learn how to load data from common file types (e. As an example, Nov 8, 2022 · I have a dataframe with 1600 partitions. conf. pyspark. Define a sample DataFrame. You defined column to be of StringType therefore Array[Byte] will be converted to String before storing in a DataFrame. executePlan( catalyst_plan). memory_usage(index=True, deep=False) [source] # Return the memory usage of each column in bytes. Jul 14, 2015 · The question asks for the size in information units (bytes), supposedly. t. The key data type used in PySpark is the Spark dataframe. I am trying to find out the size/shape of a DataFrame in PySpark. What is Writing Parquet Files in PySpark? Writing Parquet files in PySpark involves using the df. To perform its parallel processing, spark splits the data into smaller chunks (i. stats(). Today, I’ll share some of my favorite ones with you. Mar 9, 2023 · Hopefully, I’ve covered the DataFrame basics well enough to pique your interest and help you get started with Spark. need the type to be known at compile time. Mar 8, 2025 · To get the total DataFrame size in bytes: print(df. memory_usage to False. sql import SparkSession import sys # Initialize a Spark session spark = SparkSession. I do not see a single function that can do this. Spark’s SizeEstimator is a tool that estimates the size of a DataFrame using sampling and extrapolation methods. Related: Fetch More Than 20 Rows & Column Full Value in DataFrame Get Current Number of Partitions of Spark DataFrame How to check if Column Present in Spark DataFrame Finally, PySpark DataFrame also can be created by Feb 18, 2023 · The second line contains the access to the statistics calculated by Spark in the optimized plan, in this case, as already mentioned, the size in bytes of the DataFrame. Mar 18, 2013 · I wrote this simple function to return how many MB are taken up by the data contained in a python DataFrame. Those techniques, broadly speaking, include caching data, altering how datasets are partitioned, selecting the optimal join strategy, and providing the optimizer with additional information it can use to build more efficient execution plans. We use the count() function to get the size of the DataFrame, i. c. e. show In this example, we initialize a Spark session, create a sample DataFrame (df), and then calculate the approximate size of the DataFrame in bytes using the formula: useMemory * numPartitions. sum(), "bytes") result: 14610252261 bytes 3. size # property DataFrame. Examples explained in this Spark tutorial are with Scala, and the same is also explained with PySpark Tutorial (Spark with Python) Examples. 0, Spark supports binary file data source, which reads binary files and converts each file into a single record that contains the raw content and metadata of the file. sizeInBytes() # always try to remember to free cached data once finished In other words, I would like to call coalesce(n) or repartition(n) on the dataframe, where n is not a fixed number but rather a function of the dataframe size. Ideal for Interacting directly with Spark DataFrames uses a unified planning and optimization engine, allowing us to get nearly identical performance across all supported languages on Databricks (Python, SQL, Scala, and R). Spark – Default interface for Scala and Java PySpark – Python interface for Spark SparklyR – R interface for Spark. memory_usage # DataFrame. optimizedPlan(). Arrays in Scala are ugly Java artifact and among other problems have no useful toString Jun 3, 2019 · A simple one-line code to read Excel data to a spark DataFrame is to use the Pandas API on spark to read the data and instantly convert it to a spark DataFrame. Note that in either case you Oct 23, 2025 · You can also create PySpark DataFrame from data sources like TXT, CSV, JSON, ORV, Avro, Parquet, XML formats by reading from HDFS, S3, DBFS, Azure Blob file systems e. This can be suppressed by setting pandas. Aug 28, 2016 · In spark, what is the best way to control file size of the output file. The spark. columns()) to get the number of columns. getOrCreate () # Create a PySpark DataFrame data = [ (1, "John"), (2, "Alice"), (3, "Bob")] columns = ["id", "name"] df = spark. When used binaryFile format, the DataFrameReader converts the entire contents of each binary file into a single DataFrame, the resultant DataFrame contains the raw content and metadata of the file. But if lineage of some of those dataframes… Jun 23, 2025 · You can get the size of a Pandas DataFrame using the DataFrame. , CSV, JSON, Parquet, ORC) and store data efficiently. _jsparkSession. 1. For both DataFrames and Series, this attribute returns a tuple representing the object’s size. To do those, you can convert these untyped streaming DataFrames to typed streaming Datasets using the same methods as static Apr 14, 2023 · Spark provides some unique features for reading and writing binary files, which are: Efficient processing: Spark’s binary file reader is designed to read large binary files efficiently. Spark uses Pyrolite to convert between Python and Java types. Jun 30, 2020 · The setting spark. This will however not be true if you have any May 5, 2021 · For example if the size of my dataframe is 1 GB and spark. statistics. length # pyspark. Jun 3, 2020 · How can I replicate this code to get the dataframe size in pyspark? scala> val df = spark. Dec 9, 2023 · Learn the syntax of the size function of the SQL language in Databricks SQL and Databricks Runtime. executePlan(catalyst_plan). From a list of dictionaries # Dec 10, 2016 · What's the best way of finding each partition size for a given RDD. numberofpartition = {size of dataframe/default_blocksize} How to See full list on sparkbyexamples. size # Return an int representing the number of elements in this object. , 10) is usually sufficient. DataFrame method returns the memory usage of each column of the DataFrame in bytes. Dec 22, 2022 · Recipe Objective: How to restrict the size of the file while writing in spark scala? Spark is a framework that provides parallel and distributed computing on big data. Learn best practices, limitations, and performance optimisation techniques for those working with Apache Spark. You can use the index argument to specify if you want to include the contribution of the index in the calculation. If you just want to get an impression of the sizes you can cache both the RDD and the dataframe (make sure to materialize the caching by doing a count on it for example) and then look under the storage tab of the UI. But we will go another way and try to analyze the logical plan of Spark from PySpark. cache. Keep in mind that this estimation is an approximation and may not accurately reflect the exact memory usage. Aug 22, 2018 · Is there a way to force Spark to read the column as bytes and not as a string? Here is some code that can be used to recreate my issue (let column a be the ID field): Notes A DataFrame should only be created as described above. I have a RDD that looks like this: Performance Tuning Spark offers many techniques for tuning the performance of DataFrame or SQL workloads. set("spark. If you want to learn more about how Spark started or RDD basics, take a look at this post You can find all the code at this GitHub repository where I keep code for all my posts. The idea is b Dec 20, 2024 · After spending countless hours working with Spark, I’ve compiled some tips and tricks that have helped me improve my productivity and performance. stats) Mar 27, 2024 · We create a SparkSession. length(col) [source] # Computes the character length of string data or number of bytes of binary data. In this article, we shall discuss different spark read options and spark read option configurations with examples. apache. cache() df. pandas. How can I get the size(in mb) of each partition? How can I get the total size(in mb) of the dataframe? Would it be correct if I persist it and check the St Calculating precise DataFrame size in Spark is challenging due to its distributed nature and the need to aggregate information from multiple nodes. It produces a DataFrame with the following columns and possibly partition columns: path: StringType modificationTime: TimestampType length: LongType content: BinaryType To read whole binary Mar 19, 2025 · Azure Databricks – Query to get Size and Parquet File Count for Delta Tables in a Catalog using PySpark Managing and analyzing Delta tables in a Databricks environment requires insights into storage consumption and file distribution. info by default. write. describe(). SamplingSizeEstimator' instead. , the number of rows and columns. Java type for bytes is byte[] which is equivalent to Array[Byte] in Scala. What is Pandas DataFrame? A pandas DataFrame represents a two-dimensional dataset, characterized by labeled rows and columns, making it a versatile and The ideal number of partitions for a Spark DataFrame depends on the size of the data and the resources available on your cluster. even if i have to get one by one it's fine. read() is a method used to read data from various data sources such as CSV, JSON, Parquet, Avro, ORC, JDBC, and many more. rdd. size(col) [source] # Collection function: returns the length of the array or map stored in the column. count() # force caching # need to access hidden parameters from the `SparkSession` and `DataFrame` catalyst_plan = df. If your final files after the output are too large, then I suggest decreasing the value of this setting and it should create more files because the input data will be distributed among more partitions. util to get the size in bytes of the dataframe, but the results I'm getting are inconsistent. Parameters: indexbool Dec 21, 2020 · Pyspark Data Types — Explained The ins and outs — Data types, Examples, and possible issues Data types can be divided into 6 main different data types: Numeric ByteType () Integer Numbers that … Nov 18, 2025 · In the above example, we used the withColumn method along with the expr function to add a new column called “substr_example” to the DataFrame. DataFrame. You call this method on a DataFrame object—created via SparkSession —and provide Mar 20, 2025 · Usage of Polars DataFrame shape Attribute In Polars, the shape attribute of a DataFrame is used to determine the dimensions of the DataFrame, i. 1 Reading CSV Files # CSV is one of the most common formats for data exchange. Python also supports Pandas which also contains Data Frame but this is not distributed. files. These examples generate streaming DataFrames that are untyped, meaning that the schema of the DataFrame is not checked at compile time, only checked at runtime when the query is submitted. The length of character data includes the trailing spaces. Mar 27, 2024 · #Enable broadcast Join and #Set Threshold limit of size in bytes of a DataFrame to broadcast spark. of partitions required as 1 GB/ 128 MB = approx(8) and then do repartition (8) or coalesce (8) ? The idea is to maximize the size of parquet files in the output at the time of writing and be able to do so quickly (faster). show() I get an error: Serialized task 15:0 was 137500581 bytes, which exce Apr 22, 2022 · Spark achieves its fault tolerance with ability to go back and replay everything from DAG. Let us discuss this in detail. This value is displayed in DataFrame. executePlan (df. autoBroadcastJoinThreshold", 104857600) #Disable broadcast Join spark. Caching Data Tuning Partitions Coalesce Hints Apr 16, 2020 · There isn't one size for a column; it takes some amount of bytes in memory, but a different amount potentially when serialized on disk or stored in Parquet. It should not be directly created via using the constructor. SizeEstimator is a Scala/Java utility and is not readily available in PySpark. PySpark, the Python API for Apache Spark, provides a scalable, distributed framework capable of handling datasets ranging from 100GB to 1TB (and beyond) with ease. It returns a DataFrame or Dataset depending on the API used. builder. The size of the DataFrame is nothing but the number of rows * the number of columns. queryExecution. int32 array and one 5x1000 np. FOR COLUMNS col [ , … ] | FOR ALL COLUMNS Collects column statistics for each column specified, or alternatively for every column, as well as table statistics. You can estimate the size of the data in the source (for example, in parquet file). options. For example: if you have 1000 rows with 2 np. float64 columns, your DataFrame will have one 2x1000 np. I'm trying to find out which row in my dataframe has this issue but I'm unable to identify the faulty row. The length of binary data includes binary zeros. int32 and 5 np. c) into Spark DataFrame/Dataset. Maybe there is a better way to extract this data and perhaps it should be a DataFrame/Series method. collect() # get length of each Nov 21, 2024 · In Pyspark, How to find dataframe size ( Approx. Performance Tuning Spark offers many techniques for tuning the performance of DataFrame or SQL workloads. Mar 22, 2023 · In PySpark, a hash function is a function that takes an input value and produces a fixed-size, deterministic output value, which is usually a numerical representation of the input value. Jun 8, 2023 · The size of the schema/row at ordinal 'n' exceeds the maximum allowed row size of 1000000 bytes. memory_usage(deep=True). If no analyze option is specified, both number of rows and size in bytes are collected Find maximum row per group in spark dataframe spark by examples Writing spark dataframe to hbase table using hortonworks spark by R create dataframe from existing pyspark. I have tried a bunch of methods. Mar 27, 2024 · In Apache Spark, a partition is a portion of a large distributed dataset that is processed in parallel across a cluster of nodes. There seems to be no straightforward way to find this. , partitions). The memory usage can optionally include the contribution of the index and elements of object dtype. 4. Solution: Get Size/Length of Array & Map DataFrame Column Spark/PySpark provides size() SQL function to get the size of the array & map type columns in DataFrame (number of elements in ArrayType or MapType columns). I am looking for similar solution for p Spark Get Size Of Dataframe Web 4 feb 2016 nbsp 0183 32 I know that it is not the real size of the dataframe probably because it s distributed over Spark nodes To get the real size I need to collect it gt localDf lt collect df gt object size localDf 45992 bytes Sometimes the dataframe is too big to Oct 5, 2024 · This immutability also enables Spark to perform various optimizations, such as lazy evaluation and pipelining, to improve performance. Example #2: pyspark. I hope I made # Need to cache the table (and force the cache to happen) df. logical val df_size_in_bytes = spark. parquet () method to export a DataFrame’s contents into one or more files in the Apache Parquet format, converting structured data into a columnar, binary structure within Spark’s distributed environment. queryExecution(). from(dataset) So, I need to know what would be the size of a parquet file given a spark dataset. row count : 300 million records) through any available methods in Pyspark. 0 for col in df: total += df [col]. // This dataset would have 1GB of data, for example val dataset: DataFrame = spark. It is a simple and efficient way to inspect the size of your data. Below is a detailed overview of each type, with descriptions, Python equivalents, and examples: Numerical Types # ByteType Used to store byte-length integers ranging from -128 to 127. com Nov 28, 2023 · This code can help you to find the actual size of each column and the DataFrame in memory. Jan 30, 2023 · Creating DataFrames in Spark: A comprehensive guide with examples Exploring the different ways to load data into a DataFrame in Spark This article will cover ways to create a dataframe from Oct 19, 2022 · ‎ 10-19-2022 04:01 AM let's suppose there is a database db, inside that so many tables are there and , i want to get the size of tables . In this guide, we’ll explore best practices, optimization techniques, and step In this example, we initialize a Spark session, create a sample DataFrame (df), and then calculate the approximate size of the DataFrame in bytes using the formula: useMemory * numPartitions. nbytes return total Jun 9, 2025 · 1. how to get in either sql, python, pyspark. foreach(el => el) val catalyst_plan = df. autoBroadcastJoinThreshold", -1) The threshold value for broadcast DataFrame is passed in bytes and can also be disabled by setting up its value as -1. One common approach is to use the count() method, which returns the number of rows in the DataFrame. optimizedPlan. Let's take a deep dive into how you can optimize your Apache Spark application with partitions. Too many partitions with small partition size Collects only the table’s size in bytes (which does not require scanning the entire table). 's answer as well This section covers how to read and write data in various formats using PySpark. # Need to cache the table (and force the cache to happen) df. too large DataFrame), use 'repartipy. This attribute returns the number of elements in the DataFrame, which is equal to the number of rows multiplied by the number of columns. 0, Spark supports a data source format binaryFile to read binary file (image, pdf, zip, gzip, tar e. But count is also a measure of size -- this answer doesn't really answer the question, but does add information to what would be an ideal answer. maxPartitionBytes has indeed impact on the max size of the partitions when reading the data on the Spark cluster. Oct 18, 2023 · pyspark code to get estimated size of dataframe in bytes from pyspark. otxyfx mye fzfj rpret tgaek vsxqim zkud ihzjto jzhuzft fpozof vhbko piiw lvn qguxeh cdw