[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"howto:avro:ios:en":3},{"resolvedFromAlias":4,"canonicalExt":5,"ext":5,"name":6,"category":7,"categoryName":8,"updatedAt":9,"os":10,"osLabel":11,"quickSolution":12,"stepByStep":13,"recommendedSoftware":15,"alternativeMethods":16,"commonIssues":17,"securityNote":42,"extensionPath":43,"extensionLabel":44,"breadcrumbs":45,"metaDescription":55},false,"avro","Apache Avro Object Container File","data","Data","2026-06-12T08:32:57.614Z","ios","iOS","To open .AVRO files on iOS, 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).",[14],"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).",[],[],[18,24,30,36],{"title":19,"description":20,"steps":21},"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.",[22,23],"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":25,"description":26,"steps":27},"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.",[28,29],"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":31,"description":32,"steps":33},"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.",[34,35],"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":37,"description":38,"steps":39},"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.",[40,41],"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.","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).","/file-extension/avro",".AVRO",[46,49,52],{"label":47,"to":48},"Home","/",{"label":50,"to":51},"How To","/file-extension",{"label":53,"to":54},"Open .AVRO on iOS","/how-to/open-avro-on-ios","Learn how to open .AVRO files on iOS with step-by-step instructions, recommended software, and troubleshooting tips."]