[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"extension:v3:en:avro":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":38,"commonIssues":52,"securityNotes":77,"faq":81,"aliases":94,"mimeTypes":95,"relatedExtensions":97,"breadcrumbs":145,"categoryAnchor":155,"categoryFuturePath":156,"metaDescription":157,"availableHowToOs":158,"openOnDeviceLinks":159,"cannotOpenReasons":175,"cannotOpenFixes":176,"convertOptions":177,"securityAffiliateMessaging":178,"securityAffiliates":179},false,"avro","Apache Avro Object Container File","data","Data","2026-06-12T08:32:57.614Z",35,".avro files store Apache Avro serialized data, usually inside an Avro “object container” that includes the schema and data blocks. They’re commonly opened by big-data tools and SQL engines such as Apache Spark, Apache Hive, and DuckDB.",[13,14,15,16,17],"windows","mac","linux","ios","android","To open .AVRO files on Windows, if you work with Apache Spark, load the file as Avro in Spark SQL/DataFrames (Spark’s Avro data source supports reading/writing Avro).","To open a .avro file, use a data tool that supports Apache Avro, such as Apache Spark (read/write Avro), Apache Hive (AvroSerDe for Avro-backed tables), or DuckDB with its Avro extension. On desktop OSes, these are typically used via command line or notebooks rather than a double-click app.","Apache Avro is a data serialization system where data is written according to a schema. A typical .avro file is an Avro object container file that stores the schema in the file header and the data in blocks, enabling efficient processing and schema evolution in data pipelines.","Apache Avro is widely used in data engineering because it serializes structured data compactly and keeps a writer’s schema with the data, which helps readers interpret the records later. In practice, the .avro extension usually indicates an Avro object container file (a self-contained file that bundles metadata and blocks of serialized records).",[23,26,29,32,35],{"title":24,"url":25},"Specification | Apache Avro (1.12.0)","https://avro.apache.org/docs/1.12.0/specification/",{"title":27,"url":28},"Apache Avro 1.9.1 Specification (PDF)","https://avro.apache.org/docs/1.9.1/spec.pdf",{"title":30,"url":31},"DuckDB Avro Extension","https://duckdb.org/docs/stable/core_extensions/avro.html",{"title":33,"url":34},"Apache Hive: AvroSerDe","https://hive.apache.org/docs/latest/user/avroserde/",{"title":36,"url":37},"Media Types - IANA","https://www.iana.org/assignments/media-types/",{"windows":39,"macos":42,"linux":45,"ios":48,"android":50},[40,41],"If you work with Apache Spark, load the file as Avro in Spark SQL/DataFrames (Spark’s Avro data source supports reading/writing Avro).","If you prefer a local SQL workflow, install DuckDB and enable its Avro extension, then query the file using DuckDB’s Avro reader functions.",[43,44],"Use Apache Spark and read the file using the Avro data source (Spark supports Avro as a format).","Or install DuckDB, enable the Avro extension, and query the .avro file using DuckDB’s Avro reader.",[43,46,47],"For a lightweight local option, use DuckDB with the Avro extension and query the file via DuckDB’s Avro reader.","In Hadoop/Hive environments, define Avro-backed tables using Hive’s AvroSerDe / AvroContainerInputFormat to work with .avro container files.",[49],"There is no common native iOS app support for Avro container files; transfer the .avro to a desktop/server and open it with Spark, Hive, or DuckDB (Avro extension).",[51],"There is no common native Android app support for Avro container files; transfer the .avro to a desktop/server and open it with Spark, Hive, or DuckDB (Avro extension).",[53,59,65,71],{"title":54,"description":55,"steps":56},"The file won’t open in a spreadsheet or “normal” viewer","Avro is a binary serialization/container format designed for programmatic reading, not manual inspection like CSV/JSON.",[57,58],"Open it with a tool that understands Avro (for example, Apache Spark’s Avro data source or DuckDB with the Avro extension).","If you need a human-readable form, load it in Spark or DuckDB and then export/query to a more viewable format (e.g., display query results).",{"title":60,"description":61,"steps":62},"Schema or field mismatch when reading","Avro relies on schemas; if a reader expects different fields/types than what the file’s embedded schema provides, you can see missing fields, type errors, or unexpected nulls.",[63,64],"Confirm the file is an Avro object container file (it should embed its schema in the header per the Avro specification).","In your tool (Spark/Hive/DuckDB), read using the schema stored in the file first; only apply an external/expected schema after verifying compatibility.",{"title":66,"description":67,"steps":68},"Spark can’t read/write Avro due to missing support","In Spark, Avro support is provided via its Avro data source; if your environment is missing the required component/configuration, reads can fail.",[69,70],"Verify you are using Spark’s Avro data source as documented (format=\"avro\" / org.apache.spark.sql.avro).","Check that your Spark distribution/environment includes Avro support as described in the Spark Avro data source guide.",{"title":72,"description":73,"steps":74},"DuckDB can’t read the file because the Avro extension isn’t enabled","DuckDB reads Avro via its Avro extension; if it’s not installed/loaded, Avro functions won’t be available.",[75,76],"Install and load DuckDB’s Avro extension as described in DuckDB’s Avro extension documentation.","Use DuckDB’s Avro reader (e.g., the documented read_avro approach) to query the .avro file.",[78,79,80],"Avro files are typically binary container files; treat .avro from untrusted sources as potentially risky for parser vulnerabilities in the software reading them (Spark/Hive/DuckDB or any Avro library).","Because Avro object container files embed schema and metadata in the header (per the Avro specification), malformed headers/blocks can cause crashes or excessive resource use in poorly-handled readers; open untrusted files in a constrained environment.","If you receive a file claimed to be .avro but a tool reports it is not an Avro object container file, treat it as suspicious or mislabeled and do not assume it is safe or parseable.",[82,85,88,91],{"question":83,"answer":84},"What is inside a .avro file?","Most .avro files are Avro object container files: they include metadata (including the schema) and the data stored in blocks, as defined by the Apache Avro specification.",{"question":86,"answer":87},"Can Apache Spark read and write .avro files?","Yes. Spark provides an Avro data source for reading and writing Avro data (using format=\"avro\" / org.apache.spark.sql.avro), as documented in Spark’s Avro data source guide.",{"question":89,"answer":90},"Can DuckDB open .avro files?","Yes, via DuckDB’s Avro extension, which supports reading Apache Avro files using the extension’s documented functions.",{"question":92,"answer":93},"Is there an official MIME type for Avro?","The Apache Avro specification documents an HTTP Content-Type recommendation of \"avro/binary\". Check the IANA Media Types registry if you specifically need an IANA-registered media type.",[],[96],"avro/binary",[98,104,110,115,121,127,133,139],{"ext":99,"name":100,"category":7,"categoryName":8,"popularity":101,"summary":102,"howToOs":103},"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":105,"name":106,"category":7,"categoryName":8,"popularity":107,"summary":108,"howToOs":109},"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":111,"name":112,"category":7,"categoryName":8,"popularity":107,"summary":113,"howToOs":114},"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":116,"name":117,"category":7,"categoryName":8,"popularity":118,"summary":119,"howToOs":120},"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":122,"name":123,"category":7,"categoryName":8,"popularity":124,"summary":125,"howToOs":126},"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":128,"name":129,"category":7,"categoryName":8,"popularity":130,"summary":131,"howToOs":132},"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":134,"name":135,"category":7,"categoryName":8,"popularity":136,"summary":137,"howToOs":138},"parquet","Apache Parquet columnar data file",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],{"ext":140,"name":141,"category":7,"categoryName":8,"popularity":142,"summary":143,"howToOs":144},"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],[146,149,152],{"label":147,"to":148},"Home","/",{"label":150,"to":151},"File Extension Index","/file-extension",{"label":153,"to":154},".AVRO","/file-extension/avro","category-data","/category/data","Learn what .AVRO files are, how to open them on every platform, common fixes, and security best practices.",[13,14,15,16,17],[160,163,166,169,172],{"os":13,"label":161,"to":162},"Open .AVRO on Windows","/how-to/open-avro-on-windows",{"os":14,"label":164,"to":165},"Open .AVRO on Mac","/how-to/open-avro-on-mac",{"os":15,"label":167,"to":168},"Open .AVRO on Linux","/how-to/open-avro-on-linux",{"os":16,"label":170,"to":171},"Open .AVRO on iOS","/how-to/open-avro-on-ios",{"os":17,"label":173,"to":174},"Open .AVRO on Android","/how-to/open-avro-on-android",[54,60,66,72],[57,58],[],"untrusted_source",[180,184],{"name":181,"description":182,"affiliateUrl":183},"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":185,"description":186,"affiliateUrl":187},"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"]