Read Parquet File From S3 Java

On top of that, S3 is not a real file system, but an object store. I am exactly working on the same requirement. fromFile, and other approaches. it is a simple yet powerful online IDE, Editor, Compiler, Interpreter, and REPL. Apache Parquet is a columnar file format that provides optimizations to speed up queries and is a far more efficient file format than CSV or JSON. This approach is safe for reading large text files, because only one line is loaded into memory at the same time. path: location of files. download from here sample_1 (You can skip this step if you already have a CSV file, just place it into local directory. Concrete subclasses are available for various kinds of storage: local filesystem access, HDFS and Amazon S3-compatible storage. Please note that, in addition, you can read and write MS Word and MS PowerPoint files also using POI library. You can use Amazon Athena data catalog or Amazon EMR as a "metastore" in which to create an external schema. Parquet is a column-oriented data store that provides efficient data compression on a per-column level and encoding schemas. This particular batch keeps erroring the same way. parquet) to read the parquet files and creates a Spark DataFrame. So, to read data from an S3, below are the steps to be followed: Edit spark-default. 1 The FTP client in IBM AIX 6. Egress cost best practice Transfers from Amazon S3 could fail if the destination table has not been configured properly. But when I query the table in Presto, I am having issues with the array of structs field. 1 The FTP client in IBM AIX 6. ORC and Parquet “files” are usually folders (hence “file” is a bit of misnomer). parquet file, issue the query appropriate for your operating system:. The newBufferedReader(Path, Charset) method opens a file for reading, returning a BufferedReader that can be used to read text from a file in an efficient manner. Preface Purpose This manual provides an overview for understanding the FUJITSU Storage ETERNUS SF AdvancedCopy Manager of the following products:. Choose S3 as the data store and specify the S3 path up to the data Choose an IAM role to read data from S3 – AmazonS3FullAccess and AWSGlueConsoleFullAccess. impl and spark. The Parquet file format is ideal for tables containing many columns, where most queries only refer to a small subset of the columns. Example to read JSON file to Dataset. A remote attacker could exploit this vulnerability using a specially crafted time-stamp file to cause the application to crash. Java 8 adds a new method called “lines” to the BufferedReader object which opens a Stream of String. This Jira has been LDAP enabled, if you are an ASF Committer, please use your LDAP Credentials to login. key or any of the methods outlined in the aws-sdk documentation Working with AWS credentials In order to work with the newer s3a. Enjoyed This? You Might Also Enjoy Reading: java. AWS Athena has a simple and easy to understand interface. FileChannel; Java NIO classes were introduced in Java 1. s3n is the native file system implementation (ie - regular files), using s3 imposes hdfs block structure on the files so you can't really read them without going through hdfs libraries. Supports authentication via: environment variables, Hadoop configuration properties, the Hadoop key management store and IAM roles. Using SparkSession, read JSON file with schema defined by Encoder. Read and Write Data To and From Amazon S3 Buckets in Rstudio. This Jira has been LDAP enabled, if you are an ASF Committer, please use your LDAP Credentials to login. I am able to upload the files in AWS S3 from salesforce. Typically these files are stored on HDFS. column oriented) file formats are HDFS (i. SQL queries will then be possible against the temporary table. (But note that AVRO files can be read directly, without Hive connectivity. Apache Parquet is a popular columnar storage format which stores its data as a bunch of files. In this video you can learn how to upload files to amazon s3 bucket. Bucket(S3_BUCKET) bucket. This method write lines of text to a file. In my case the issue was the required libraries were not available for all workers in the cluster. I've exported about 350 million records from our Cassandra database to S3 using Spark in parquet format. conf file You need to add below 3 lines consists of your S3 access key, secret key & file system. Loads a Parquet file stream, returning the result as a DataFrame. PR-32 - Add s3. parquet file, issue the query appropriate for your operating system:. Accepts standard Hadoop globbing expressions. 1 Unspecified vulnerability in the Java Virtual Machine (JVM) in IBM SDK, Java Technology Edition 5. Implemented with a third-party library (JetS3t), it provides rudimentary support for files up to 5 GB in size and uses AWS secret API keys to run. A popular file format in these use cases is Parquet, which stores data in a columnar format. Parquet file : If you compress your file and convert it to Apache Parquet, you end up with 1 TB of data in S3. 4-FP-25 SP-02, does not properly manage privileges in an RBAC environment, which allows attackers to bypass intended file-read restrictions by leveraging the setuid installation of the ftp executable file. A remote attacker could exploit this vulnerability using a specially crafted time-stamp file to cause the application to crash. The file URI scheme is a URI scheme defined in RFC 8089, typically used to retrieve files from within one's own computer. Hive is a combination of three components: Data files in varying formats that are typically stored in the Hadoop Distributed File System (HDFS) or in Amazon S3. Nov 15, 2018 · 6 min read. It is similar to the other columnar-storage file formats available in Hadoop namely RCFile and ORC. ) Put content in that file, delimited by a comma (,). Files are compressed by the encoding scheme resulting in hilariously small Parquet files compared to the same data as a CSV file. You have to set up Hive with the on-premises Enterprise Edition of Trifacta. The ground work of setting the pom. 2018-06-20 java. You can program the WebDAV Library for Java to publish documents from any back-end storage, such SQL, Amazon S3, Azure or your DMS/CMS/CRM. To read a directory of CSV files, specify a directory. Supports authentication via: environment variables, Hadoop configuration properties, the Hadoop key management store and IAM roles. However, because Parquet is columnar, Redshift Spectrum can read only the column that is relevant for the query being run. ; mergeSchema (default is the value specified in spark. One example of such a backend file-system is s3fs, to connect to AWS's S3 storage. val rdd = sparkContext. Even though the file like parquet and ORC is of type binary type, S3 provides a mechanism to view the parquet, CSV and text file. In this example snippet, we are reading data from an apache parquet file we have written before. How to use Parquet4S to read and write parquet files? Core library. createOrReplaceTempView (parquetFile, "parquetFile") teenagers <-sql ("SELECT name FROM parquetFile WHERE age >= 13 AND age <= 19") head (teenagers) ## name ## 1 Justin # We can also run custom R-UDFs on Spark DataFrames. 7 OS: Windows 8. You can read data from HDFS (hdfs://), S3 (s3a://), as well as the local file system (file://). The problem is that they are really slow to read and write, making them unusable for large datasets. Reading and Writing Data Sources From and To Amazon S3. Java resources can be. The tuples on the output port contain the data that is read from the objects. How to read csv file and load to dynamodb using lambda function? JAVA - How To Design. 1 IBM AIX 7. ORC and Parquet "files" are usually folders (hence "file" is a bit of misnomer). The combination of Spark, Parquet and S3 (& Mesos) is a powerful, flexible and affordable big data platform. Supports authentication via: environment variables, Hadoop configuration properties, the Hadoop key management store and IAM roles. This is the documentation of the Python API of Apache Arrow. This service allows the subscribers to access the same. csv') # get the object response = obj. The COPY command specifies file format options instead of. Read and load data in parallel from files in an Amazon S3 bucket using the COPY command. This often confuses new programmers, because they used to deal with folders and files in file system. simple is a simple Java toolkit for JSON for to encoding and decoding JSON text. # The result of loading a parquet file is also a DataFrame. java to anything you want. Code explanation: 1. Note: This file format needs to be imported with the File System (CSV, Excel, XML, JSON, Avro, Parquet, ORC, COBOL Copybook), Apache Hadoop Distributed File System (HDFS Java API) or Amazon Web Services (AWS) S3 Storage bridges. Create a simple maven project in your favorite IDE and add below mentioned dependency in your pom. Amazon S3 Examples for PowerShell. Let's say I have ref_id x3, date x 4, camera_id x 500, if I write parquet like below(use partitionBy), I will get 3x4x500=6000 files uploaded to S3. However, Athena is able to query a variety of file formats, including, but not limited to CSV, Parquet, JSON. Just as Bigtable leverages the distributed data storage provided by the Google File System, Apache HBase provides Bigtable-like capabilities on top of Hadoop and HDFS. This function writes the dataframe as a parquet file. Be aware that this example sets the permissions of the file to be public (viewable by anybody with the link). rename on the _temporary folder and since rename is not supported by S3, this means that a single request is now copying and deleting all the files from _temporary to its final destination. Which it will replace with the latest. (Java) AWS S3 File Streaming Upload. A simple way of reading Parquet files without the need to use Spark. You can read data from HDFS (hdfs://), S3 (s3a://), as well as the local file system (file://). Reading parquet files. This article will show you how to create a Java web application. Apache Parquet is a popular columnar storage format which stores its data as a bunch of files. The browser then uploads the file directly to Amazon S3 using the signed request supplied by your Node. This particular batch keeps erroring the same way. 13 installed. load method is very convenient to load properties file in form of key values pairs. I reckon it's still a setting problem in sparklyr?. 1 IBM AIX 7. The files are using Parquet v2. When writing Parquet files, all columns are automatically converted to be nullable for compatibility reasons. If your AWS Identity and Access Management (IAM) user or role is in the same AWS account as the AWS KMS CMK, then you must have these permissions on the key policy. It will give you support for both Parquet and Amazon S3. Any problems email [email protected] Enough of Java 8 and Stream, let revisit the classic BufferedReader (JDK1. In this tutorial, we'll learn how to interact with the Amazon S3 (Simple Storage Service) storage system programmatically, from Java. Come leggere un elenco di parquet file da S3 come una panda dataframe utilizzando pyarrow?. The finalize action is executed on the S3 Parquet Event Handler. 04/29/2019; 3 minutes to read; In this article. In this step, you’ll use the Amazon S3 console to create a new S3 bucket with public access. As S3 is an object store, renaming files: is very expensive (complete rewrite). (But note that AVRO files can be read directly, without Hive connectivity. This has to do with the parallel reading and writing of DataFrame partitions that Spark does. A popular file format in these use cases is Parquet, which stores data in a columnar format. The code below is based on An Introduction to boto's S3 interface - Storing Large Data. If you installed Drill in distributed mode, or your sample-data directory differs from the location used in the examples. The operator supports two modes of reading. This is the documentation of the Python API of Apache Arrow. Demonstrates how to do a streaming upload from a file to the AWS S3 storage service. I am getting an exception when reading back some order events that were written successfully to parquet. We will see how we can add new partitions to an existing Parquet file, as opposed to creating new Parquet files every day. write() is best way to create file and it should be your preferred approach in future if you are not already using it. header: when set to true, the first line of files name columns and are not included in data. In order to read from AWS S3, we need to set some parameters in the configuration file for spark. Load data located in your S3 bucket into Snowflake tables. Further reading: Java - Create a File. Importing the ‘types’ class into the Spark Shell. It comes with a script for reading parquet files and outputting the data to stdout as JSON or TSV (without the overhead of JVM startup). read to read you data from S3 Bucket. How does Apache Spark read a parquet file. So create a role along with the following policies. S3 Select Parquet allows you to use S3 Select to retrieve specific columns from data stored in S3, and it supports columnar compression using GZIP or Snappy. IOException; public class. After following the guide, you should have a working barebones system, allowing your users to upload files to S3. Like JSON datasets, parquet files. Poznámka: již na úvod je nutné poznamenat, že z hlediska kontroly kvality a ustálených pravidel je na tom ekosystém programovacího jazyka Go velmi dobře (i v porovnání s přímou konkurencí) a většina projektů s otevřeným zdrojovým kódem, které jsou v Go psány, se snaží dodržovat většinu zavedených praktik, k čemuž pomáhají i dále zmíněné služby, které k. File class, as shown here:. This section describes how to read and write HDFS files that are stored in Parquet format, including how to create, query, and insert into external tables that reference files in the HDFS data store. Programming Amazon S3 using the AWS SDK for Java. Reading Parquet InputSplits dominates query execution time when reading off S3. To read an object line-by-line, the expected output schema of the output port is tuple. Quering Parquet Format Files On S3. How to open and read text files in Scala | alvinalexander. /** * S3 block read would be achieved through the AmazonS3 client. Amazon S3 uses the same scalable storage infrastructure that Amazon. java to anything you want. A simple way of reading Parquet files without the need to use Spark. looking for an advice on how to read parquet file from hdfs cluster using Apache Nifi. Conclusion – MappedByteBuffer wins for file sizes up to 1 GB. It is not feasible to persist file ownership and permissions in S3, so S3A reports stub information from APIs that would query this metadata: File owner is reported as the current user. Instead of using the AvroParquetReader or the ParquetReader class that you find frequently when searching for a solution to read parquet files use the class ParquetFileReader instead. S3 allows you to store “user metadata” with each object in your bucket(s). This service allows the subscribers to access the same. s3 sync updates any files that have a different size or modified time than files with. Above is the screen-shot of the job within Databricks that is getting called from Airflow. I'm using s3cmd to store nightly exported database backup files from my ec2 instance. By default, all the data files for a table are located in a single directory. Many Tableau customers have large buckets of data stored in Amazon Simple Storage Service (Amazon S3). ParquetHiveSerDe is used for data stored in Parquet Format. parquet ("people. Return the specified class. In previous post you saw how to delete several S3 objects from Amazon S3 using Java AWS SDK. Java used Properties class to store above key values pair. Enough of Java 8 and Stream, let revisit the classic BufferedReader (JDK1. Once the parquet data is in Amazon S3 or HDFS, we can query it using Amazon Athena or Hive. ORC and Parquet "files" are usually folders (hence "file" is a bit of misnomer). read to read you data from S3 Bucket. buildListing. Well, it is not very easy to read S3 bucket by just adding Spark-core dependencies to your Spark project and use spark. Read and Write Data To and From Amazon S3 Buckets in Rstudio. NetApp Solutions for Using Amazon S3 for File System Storage. PR-32 - Add s3. The following SQL statement can be used to create a table under Glue database catalog for above S3 Parquet file. 1 comment on"Optimizing ORC and Parquet files for Big SQL queries performance" Inspect Files tooling for IBM Db2 Big SQL – Cloud Data Architect April 03, 2018 […] provided by this tool can be executed using the tools described in the blog entry Optimizing ORC and Parquet files for Big SQL queries performance. createTempFile() method used to create a temp file in the jvm to temporary store the parquet converted data before pushing/storing it to AWS S3. This service allows the subscribers to access the same. Parquet Files. size to 268435456 (256 MB) to match the row group size produced by Impala. -heap performance operating systems optimum-threads parque parquet performance of unsafe postgres processors replication routing s3. header: when set to true, the first line of files name columns and are not included in data. The Parquet Event Handler is called to generate a Parquet file from the source data file. simple is a simple Java toolkit for JSON for to encoding and decoding JSON text. The S3 Event Handler is called to load the generated Parquet file to S3. Parquet Files. Do not store in cleartext in any configuration files. parquet as pq buffer = io. To test to see if a file or directory exists, use the “exists()” method of the Java java. The parquet-cpp project is a C++ library to read-write Parquet files. Read and copy with FileInputStream and FileOutputStream: 12. You can read data from HDFS (hdfs://), S3 (s3a://), as well as the local file system (file://). Reading data from S3. The Apache Parquet project provides a standardized open-source columnar storage format for use in data analysis systems. I have connected a HDFS source which has parquet formatted files stored in it. When BigQuery retrieves the schema from the source data, the alphabetically last file is used. This can be done by adding a connection property called fs. Slow performance reading partitioned parquet file in S3 scala scala partitioning s3bucket slow Question by Erick Diaz · Jun 01, 2016 at 04:27 PM ·. The LambdaFunctionHandlerTest. It stores records in a columnar format: all the values of a particular field, or. spark read many small files from S3 in java December, 2018 adarsh Leave a comment In spark if we are using the textFile method to read the input data spark will make many recursive calls to S3 list() method and this can become very expensive for directories with large number of files as s3 is an object store not a file system and listing things. Parquet is widely adopted because it supports a wide variety of query engines, such as Hive, Presto and Impala, as well as multiple frameworks, including Spark and MapReduce. Amazon S3 uses the same scalable storage infrastructure that Amazon. Count characters with FileInputStream: 11. S3 handles all the distributed system-y requirements. When BigQuery retrieves the schema from the source data, the alphabetically last file is used. Follow this article when you want to parse the Parquet files or write the data into Parquet format. AWS supports a number of languages including NodeJS, C#, Java, Python and many more that can be used to access and read file. This is on DBEngine 3. Importing Parquet then works as with any other data source. 1 Amazon S3 author Talend Documentation Team EnrichVersion 7. Java-Success. Parquet files Apache Parquet is a columnar file format that provides optimizations to speed up queries and is a far more efficient file format than CSV or JSON. Amazon S3 Inventory provides flat file lists of objects and selected metadata for your bucket or shared prefixes. Metadata about how the data files are mapped to schemas and tables. Introduction. properties" (a related example shows how you can add bundles to this family that are implemented as subclasses of ListResourceBundle). I'm using a workaround to read a csv file from S3. In this blog post you will see how easy it is to load large amount of data from SQL Server to Amazon S3 Storage. Solution For "Error: java. Avro provides: Rich data structures. AWS S3 PutObject - In this tutorial, we will learn about how to upload an object to Amazon S3 bucket using java language. Apache Hive supports analysis of large datasets stored in Hadoop's HDFS and compatible file systems such as Amazon S3 filesystem and Alluxio. I have a question. Reading/Writing a file on MapR-FS (MapR filesystem) using a java program In this short example I will try to demonstrate a java program to Read and Write MapR filesystem. The second tip: cast sometimes may be skipped. Parquet can only read the needed columns therefore greatly minimizing the IO. spark sql spark streaming structured streaming kafka. 1 The FTP client in IBM AIX 6. Parquet is a column-oriented data store that provides efficient data compression on a per-column level and encoding schemas. e 3 copies of each file to achieve fault tolerance) along with the storage cost processing the data comes with CPU,Network IO, etc costs. Dask can create DataFrames from various data storage formats like CSV, HDF, Apache Parquet, and others. 4-FP-25 SP-02, does not properly manage privileges in an RBAC environment, which allows attackers to bypass intended file-read restrictions by leveraging the setuid installation of the ftp executable file. To read a directory of CSV files, specify a directory. getObject(new GetObjectRequest(bucketName, bucketKey)); InputStream inputStream = object. 3 Have you got the answer for 'still needs someone to configure the databases and tables in Athena before Tableau users can start reading it in, correct?' ? If yes, how can I configure database & tables in Athena? also, how can I load my files from s3 into these tables?. To get columns and types from a parquet file we simply connect to an S3 bucket. It can be very easy to use Spark to convert XML to Parquet and then query and analyse the output data. Reading Parquet Files from a Java Application Recently I came accross the requirement to read a parquet file into a java application and I figured out it is neither well documented nor easy to do so. conf file You need to add below 3 lines consists of your S3 access key, secret key & file system. However, Athena is able to query a variety of file formats, including, but not limited to CSV, Parquet, JSON. The only option is reading into a DataFrame, and using the as method with a type annotation to cast it to the specified schema. This can be done by adding a connection property called fs. Using a storage service like AWS S3 to store file uploads provides an order of magnitude scalability, reliability, and speed gain than just storing files on a local filesystem. Create S3 bucket using Java application or upload , read, delete a file or folder from S3 using aws java sdk AWS session : https://www. For example, when S3_SELECT=AUTO, PXF automatically uses S3 Select when a query on the external table utilizes column projection or predicate pushdown, or when the referenced CSV file has a header row. This functionality is designed for sites which are load-balanced across multiple servers, as the mechanism used by. Reading a File into a Byte Array: reads the entire contents of a file into a byte array: 8. 1 IBM AIX 7. The s3-dist-cp job completes without errors, but the generated Parquet files are broken and can't be read by other applications. filesystem (FileSystem, default None) – If nothing passed, will be inferred from where if path-like, else where is already a file-like object so no filesystem is needed. Sparkling Water is still working, however there was one major issue: parquet files can not be read correctly. The tuples on the output port contain the data that is read from the objects. Change the S3 connector property file to use your custom credentials. csv file is stored on Amazon S3; Import the file into a Google spreadsheet with =IMPORTDATA("url of the file") (I've used a public s3 url). The tuples on the output port contain the data that is read from the objects. Data from RDBMS can be imported into S3 in incremental append mode as Sequence or Avro file format. Get the java Context from spark context to set the S3a credentials needed to connect S3 bucket. First, I can read a single parquet file locally like this:. Parquet Files. Reading a File into a Byte Array: reads the entire contents of a file into a byte array: 8. Example ¶ Assuming your S3 credentials are correctly configured (for example by setting the AWS_ACCESS_KEY_ID and AWS_SECRET_ACCESS_KEY environment variables), here is how you can read contents from a S3 bucket:. In STORE_SALES, it is an integer surrogate key for the sold_date column named ss_sold_date_sk:. From then on it’s just standard Stream API usage to filter the lines in the file – and perform other operations on them in parallel such as filtering out the lines that you don’t need. Reading Parquet files notebook How to import a notebook Get notebook link. File; import java. textFile(“”). In order to understand Parquet file format in Hadoop better, first let's see what is columnar format. How to read Parquet Files in Java without Spark. 1 IBM AIX 7. The parquet-compatibility project contains compatibility tests that can be used to verify that implementations in different languages can read and write each other's files. The file URI scheme is a URI scheme defined in RFC 8089, typically used to retrieve files from within one's own computer. [Amazon S3] Reading File content from S3 bucket in Java February 24, 2015 February 25, 2015 paliwalashish In continuation to last post on listing bucket contents, in this post we shall see how to read file content from a S3 bucket programatically in Java. When I create the table on Hive, it reads the file fine. buildListing. Spark SQL can directly read from multiple sources (files, HDFS, JSON/Parquet files, existing RDDs, Hive, etc. I'll have more to say about the visualizations in Zeppelin in the next post. In this page, I'm going to demonstrate how to write and read parquet files in Spark/Scala by using Spark SQLContext class. In this post I will try to explain what happens when Apache Spark tries to read a parquet file. These examples are extracted from open source projects. IOException: org. Hive is a combination of three components: Data files in varying formats that are typically stored in the Hadoop Distributed File System (HDFS) or in Amazon S3. ParquetReader. In our case we’re dealing with protobuf messages, therefore the result will be a proto-parquet binary file. Preferably I'll use AWS Glue, which uses Python. The first important bit is the file format gg. Take sample nation. Apache Commons IO. If you have created a file in windows then transfer it to your Linux machine via WinSCP. XML Word Printable JSON. Nation File. These files are used for writing unit tests of the handler function. XML Word Printable JSON. It was created originally for use in Apache Hadoop with systems like Apache Drill, Apache Hive, Apache Impala (incubating), and Apache Spark adopting it as a shared standard for high performance data IO. You can set your site to use S3 File System as the default, or use it only for individual fields. Output Committers for S3. Read or List All Files in a Folder - Java Program In this post we'll see how to read or list all the files in a directory using Java. AWS S3 GetObject - In this tutorial, we will learn about how to get an object from Amazon S3 bucket using java language. In this tutorial we are going to use JSON Simple open source library, JSON. Use the PXF HDFS connector to read and write Parquet-format data. ") which doesn't seem to work with Spark which only work on EMR (Edited: 12/8/2015 thanks to Ewan Leith). However is there a way I can create a temporary schema in Alteryx in order to use. parquet ("people. Java Copy File – java. I’m writing parquet files that are not readable from Dremio. A simple way of reading Parquet files without the need to use Spark. COMPRESS’=’SNAPPY’ table property can be set to enable SNAPPY compression. The object authorization model of S3 is much different from the file authorization model of HDFS and traditional file systems. Code, compile, run, and host in 50+ programming languages: Clojure, Haskell. The naive solution is to simply write out one object after another, but this is not necessarily optimal: for one, accessing any field of any object requires reading the entire file. Any problems email [email protected] It's very consistent. How does Apache Spark read a parquet file. A simple way of reading Parquet files without the need to use Spark. [Amazon S3] Reading File content from S3 bucket in Java February 24, 2015 February 25, 2015 paliwalashish In continuation to last post on listing bucket contents, in this post we shall see how to read file content from a S3 bucket programatically in Java. AWSGlueServiceRole S3 Read/Write access for. These examples are extracted from open source projects. Read and Write Data To and From Amazon S3 Buckets in Rstudio. Ideally I'm hoping for some Python (or Java) scripts that precisely do the process as described. Notation The names, abbreviations, and symbols shown below are used in this manual. Amazon S3 provides a simple web services interface that can be used to store and retrieve any amount of data, at any time, from anywhere on the web. 4-FP-25 SP-02, does not properly manage privileges in an RBAC environment, which allows attackers to bypass intended file-read restrictions by leveraging the setuid installation of the ftp executable file. Apache Parquet is a popular columnar storage format which stores its data as a bunch of files. # java -jar parquet-tools-1. Implemented with a third-party library (JetS3t), it provides rudimentary support for files up to 5 GB in size and uses AWS secret API keys to run. Step 2: Moving Parquet Files From Amazon S3 To Google Cloud, Azure or Oracle Cloud. If your AWS Identity and Access Management (IAM) user or role is in the same AWS account as the AWS KMS CMK, then you must have these permissions on the key policy. Read from a Parquet file in a Spark. Parquet is widely adopted because it supports a wide variety of query engines, such as Hive, Presto and Impala, as well as multiple frameworks, including Spark and MapReduce.