[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"extension:v3:en:parquet":3},{"resolvedFromAlias":4,"canonicalExt":5,"ext":5,"name":6,"category":7,"categoryName":8,"updatedAt":9,"popularity":10,"summary":11,"howToOs":12,"quickAnswer":18,"answerIntro":19,"whatIs":20,"description":21,"furtherReading":22,"openInstructions":41,"commonIssues":53,"securityNotes":72,"faq":75,"aliases":88,"mimeTypes":89,"relatedExtensions":91,"breadcrumbs":139,"categoryAnchor":149,"categoryFuturePath":150,"metaDescription":151,"availableHowToOs":152,"openOnDeviceLinks":153,"cannotOpenReasons":169,"cannotOpenFixes":170,"convertOptions":171,"securityAffiliateMessaging":172,"securityAffiliates":173},false,"parquet","Apache Parquet columnar data file","data","Data","2026-06-12T08:15:41.567Z",70,".parquet is an open, column-oriented file format for efficient storage and retrieval of tabular data. It’s commonly opened with data tools such as pandas (Python) and other analytics/ETL software that supports Apache Parquet.",[13,14,15,16,17],"windows","mac","linux","ios","android","To open .PARQUET files on Windows, install Python and pandas, then install a Parquet engine supported by your environment (as required by pandas.read_parquet).","To open a .parquet file, use a data analysis tool that supports Apache Parquet—commonly Python with pandas (pandas.read_parquet). If you just need to inspect the contents, it’s usually easiest to load it into a dataframe and then export to CSV for viewing.","Apache Parquet is an open source, column-oriented data file format designed for efficient data storage and retrieval. It is optimized for analytics workloads by storing data by column rather than by row, which can reduce I/O for many queries. The authoritative format specification is maintained in the apache/parquet-format repository.","Apache Parquet is widely used in data engineering and analytics pipelines to store large tabular datasets efficiently. Because it is column-oriented, it is often paired with tools that read subsets of columns, perform scans, or apply compression/encoding strategies well-suited for analytical queries.\n\nThe Parquet project maintains official documentation and points to the authoritative format specification repository. The Library of Congress describes Parquet as a preservation-relevant format and provides notes about identification and media type status.\n\nIn practice, .parquet files are often exchanged between systems (local filesystems, data lakes, and batch processing jobs). For interactive work, loading into a dataframe (for example, with pandas) is a common way to inspect and transform Parquet data.",[23,26,29,32,35,38],{"title":24,"url":25},"Apache Parquet (official project site)","https://parquet.apache.org/",{"title":27,"url":28},"Parquet Documentation","https://parquet.apache.org/docs/",{"title":30,"url":31},"Apache Parquet Format specification (apache/parquet-format)","https://github.com/apache/parquet-format/",{"title":33,"url":34},"Library of Congress: Apache Parquet format description","https://www.loc.gov/preservation/digital/formats/fdd/fdd000575.shtml",{"title":36,"url":37},"IANA Media Types registry (includes application/vnd.apache.parquet)","https://www.iana.org/assignments/media-types/index.html",{"title":39,"url":40},"pandas.read_parquet documentation","https://pandas.pydata.org/docs/reference/api/pandas.read_parquet.html",{"windows":42,"macos":45,"linux":47,"ios":49,"android":51},[43,44],"Install Python and pandas, then install a Parquet engine supported by your environment (as required by pandas.read_parquet).","Open a Python session and run: import pandas as pd; df = pd.read_parquet('file.parquet'); print(df.head()).",[43,46],"Open Terminal and run a small script to load it: python -c \"import pandas as pd; print(pd.read_parquet('file.parquet').head())\"",[43,48],"Load and inspect the file from the command line: python -c \"import pandas as pd; print(pd.read_parquet('file.parquet').head())\"",[50],"There is no typical native iOS workflow for Parquet; transfer the file to a desktop environment and open it with a data tool such as Python/pandas (read_parquet).",[52],"There is no typical native Android workflow for Parquet; transfer the file to a desktop environment and open it with a data tool such as Python/pandas (read_parquet).",[54,60,66],{"title":55,"description":56,"steps":57},"Pandas can’t read the file because a Parquet engine is missing","pandas.read_parquet relies on an underlying Parquet implementation; if it isn’t installed or configured, you may get an error that no usable engine is available.",[58,59],"Check the pandas.read_parquet documentation for the currently supported engine options and requirements for your setup.","Install/configure one supported engine, then retry pd.read_parquet('file.parquet').",{"title":61,"description":62,"steps":63},"The file opens but looks unreadable in a text editor","Parquet is a binary, columnar storage format; it is not meant to be read as plain text, so opening it in a text editor will look like gibberish.",[64,65],"Open it with a data tool that understands Parquet (for example, load it into pandas with read_parquet).","If you need a human-readable view, export a subset to CSV after loading (for example, df.head().to_csv('preview.csv')).",{"title":67,"description":68,"steps":69},"Schema/type mismatch or unexpected columns when loading","Parquet files encode a schema; different producers or versions of datasets can lead to column type differences or missing/extra fields when you read them.",[70,71],"Inspect the dataframe’s dtypes and columns after reading (for example, df.dtypes and df.columns) and compare to what you expect.","If the dataset is partitioned or produced by multiple jobs, ensure you are reading the intended file set and handling missing columns/types in your downstream code.",[73,74],"Parquet is a data file format (not a macro-enabled document), but it is still parsed by complex libraries; malformed or maliciously crafted Parquet files could trigger vulnerabilities in readers. Prefer up-to-date Parquet-reading libraries and avoid opening untrusted files in high-privilege environments.","Because Parquet is binary, you typically won’t be able to visually inspect it for unexpected content before loading; validate the schema/columns after reading (for example, in pandas) before using it in automated pipelines.",[76,79,82,85],{"question":77,"answer":78},"What is a .parquet file used for?","It stores tabular data in an open, column-oriented format designed for efficient storage and retrieval, commonly used in analytics and data engineering workflows.",{"question":80,"answer":81},"Can I open Parquet in pandas?","Yes. pandas provides read_parquet to load .parquet files into a DataFrame (subject to having a supported Parquet engine installed as described in the pandas documentation).",{"question":83,"answer":84},"Is there an official specification for Parquet?","Yes. The authoritative format specification is maintained in the apache/parquet-format repository, and the Parquet project documentation links to it.",{"question":86,"answer":87},"What MIME type is associated with Parquet?","IANA lists the provisional media type application/vnd.apache.parquet.",[],[90],"application/vnd.apache.parquet",[92,98,104,109,115,121,127,133],{"ext":93,"name":94,"category":7,"categoryName":8,"popularity":95,"summary":96,"howToOs":97},"json","JSON data",88,".json files store structured data as plain text using the JSON (JavaScript Object Notation) format. They’re commonly used for web APIs, app configuration, and data exchange, and can be opened with any text editor or JSON-aware tools.",[13,14,15,16,17],{"ext":99,"name":100,"category":7,"categoryName":8,"popularity":101,"summary":102,"howToOs":103},"db","SQLite 3 Database",85,".db is commonly used for SQLite 3 database files—single-file relational databases used by many apps. You can open them with SQLite tools and many database browsers.",[13,14,15,16,17],{"ext":105,"name":106,"category":7,"categoryName":8,"popularity":101,"summary":107,"howToOs":108},"yaml","YAML File",".yaml is a YAML document: a human-readable data serialization format commonly used for configuration files and data exchange. You can open it with a text editor, or with editor support such as the YAML extension for Visual Studio Code.",[13,14,15,16,17],{"ext":110,"name":111,"category":7,"categoryName":8,"popularity":112,"summary":113,"howToOs":114},"sqlite3","SQLite 3 database",78,".sqlite3 is a SQLite version 3 database stored as a single cross-platform file. You can open it with SQLite’s sqlite3 command-line shell or any SQLite-capable database browser/library.",[13,14,15,16,17],{"ext":116,"name":117,"category":7,"categoryName":8,"popularity":118,"summary":119,"howToOs":120},"sqlite","SQLite 3 Database File",75,".sqlite is a SQLite 3 database stored as a single file. You open it with SQLite tools (for example, the SQLite command-line shell) or any application that supports SQLite.",[13,14,15,16,17],{"ext":122,"name":123,"category":7,"categoryName":8,"popularity":124,"summary":125,"howToOs":126},"jsonl","JSON Lines (newline-delimited JSON)",72,".jsonl is a JSON Lines file: plain text where each line is a complete JSON value, commonly used for logs and large datasets that are processed record-by-record.",[13,14,15,16,17],{"ext":128,"name":129,"category":7,"categoryName":8,"popularity":130,"summary":131,"howToOs":132},"ndjson","Newline-Delimited JSON (NDJSON)",55,"NDJSON is a text format where each line is a complete JSON object, making it convenient for streaming and log-like datasets. You can open it with any text editor, and many data tools can process it line-by-line.",[13,14,15,16,17],{"ext":134,"name":135,"category":7,"categoryName":8,"popularity":136,"summary":137,"howToOs":138},"pkpass","Apple Wallet Pass",54,".pkpass files are Apple Wallet passes used for things like tickets, boarding passes, coupons, and loyalty cards. They’re designed to be added to Apple Wallet and may also work with some third‑party wallet apps on Android.",[13,14,15,16,17],[140,143,146],{"label":141,"to":142},"Home","/",{"label":144,"to":145},"File Extension Index","/file-extension",{"label":147,"to":148},".PARQUET","/file-extension/parquet","category-data","/category/data","Learn what .PARQUET files are, how to open them on every platform, common fixes, and security best practices.",[13,14,15,16,17],[154,157,160,163,166],{"os":13,"label":155,"to":156},"Open .PARQUET on Windows","/how-to/open-parquet-on-windows",{"os":14,"label":158,"to":159},"Open .PARQUET on Mac","/how-to/open-parquet-on-mac",{"os":15,"label":161,"to":162},"Open .PARQUET on Linux","/how-to/open-parquet-on-linux",{"os":16,"label":164,"to":165},"Open .PARQUET on iOS","/how-to/open-parquet-on-ios",{"os":17,"label":167,"to":168},"Open .PARQUET on Android","/how-to/open-parquet-on-android",[55,61,67],[58,59],[],"untrusted_source",[174,178],{"name":175,"description":176,"affiliateUrl":177},"Avast","Avast offers free and premium antivirus software that protects against viruses, malware, ransomware, and phishing. Scan files before opening them to ensure safety.","https://www.avast.com/lp-aff-consumer-store?expid=inf601",{"name":179,"description":180,"affiliateUrl":181},"Norton","Norton 360 delivers comprehensive antivirus protection, VPN, and identity theft monitoring. Scan files for threats before opening to keep your device secure.","http://buy.norton.com/aff_home?utm_campaign=en-ww_nor_n36_aff_nas_nau_nah_cj_nad_low:_sec_nat_mktc_norton_360"]