Tag: macos

  • Split large JSON file in MacOS

    Want to split large JSON file in MacOS? Try Withdata Big Text File Splitter, Split large JSON file in MacOS, East and Fast. Can run in GUI mode, just a few mouse clicks. Can run in Command line, for Scheduled Tasks and Streams. Split JSON file locally and privately, Avoid uploading LARGE JSON file(s) to…

  • Split large TSV file in MacOS

    Want to split large TSV file in MacOS? Try Withdata Big Text File Splitter, Split large TSV file in MacOS, East and Fast. Can run in GUI mode, just a few mouse clicks. Can run in Command line, for Scheduled Tasks and Streams. Split TSV file locally and privately, Avoid uploading LARGE TSV file(s) to…

  • Split large CSV file in MacOS

    Want to split large CSV file in MacOS? Try Withdata Big Text File Splitter, Split large CSV file in MacOS, East and Fast. Can run in GUI mode, just a few mouse clicks. Can run in Command line, for Scheduled Tasks and Streams. Split CSV file locally and privately, Avoid uploading LARGE CSV file(s) to…

  • Split large TXT file in MacOS

    Want to split large TXT file in MacOS? Try Withdata Big Text File Splitter, Split large TXT file in MacOS, East and Fast. Can run in GUI mode, just a few mouse clicks. Can run in Command line, for Scheduled Tasks and Streams. Split TXT file locally and privately, Avoid uploading LARGE TXT file(s) to…

  • Upsert data from CSV to Oracle table via command line on MacOS

    Want to upsert data from CSV file to existing Oracle table via command line on MacOS? Using ora-cmd, a Command-Line client for Oracle, you can upsert(merge) CSV/TSV/TXT data to Oracle table easily and fast. Support Windows, Linux, and MacOS. Download ora-cmd MacOS version ora-cmd.darwin-amd64.zip ora-cmd.darwin-arm64.zip No need to install Oracle client library. Convenient to deploy…

  • Upsert data from CSV to SQL Server table via command line on MacOS

    Want to upsert data from CSV file to existing SQL Server table via command line on MacOS? Using mssql-cmd, a Command-Line client for SQL Server, you can upsert(merge) CSV/TSV/TXT data to SQL Server table easily and fast. Support Windows, Linux, and MacOS. Download mssql-cmd MacOS version mssql-cmd.darwin-amd64.zip mssql-cmd.darwin-arm64.zip No need to install SQL Server client…

  • Upsert data from CSV to PostgreSQL table via command line on MacOS

    Want to upsert data from CSV file to existing PostgreSQL table via command line on MacOS? Using pg-cmd, a Command-Line client for PostgreSQL, you can upsert(merge) CSV/TSV/TXT data to PostgreSQL table easily and fast. Support Windows, Linux, and MacOS. Download pg-cmd MacOS version pg-cmd.darwin-amd64.zip pg-cmd.darwin-arm64.zip No need to install PostgreSQL client library. Convenient to deploy…

  • Upsert data from CSV to MySQL table via command line on MacOS

    Want to upsert data from CSV file to existing MySQL table via command line on MacOS? Using my-cmd, a Command-Line client for MySQL, you can upsert(merge) CSV/TSV/TXT data to MySQL (MariaDB, Percona) table easily and fast. Support Windows, Linux, and MacOS. Download my-cmd MacOS version my-cmd.darwin-amd64.zip my-cmd.darwin-arm64.zip No need to install MySQL client library. Convenient…

  • Update Oracle table through CSV via command line on MacOS

    Want to import CSV to update rows in Oracle table via command line on MacOS? Using ora-cmd, a Command-Line client for Oracle, you can import CSV/TSV/TXT data to update existing Oracle table easily and fast. Support Windows, Linux, and MacOS. Download ora-cmd MacOS version ora-cmd.darwin-amd64.zip ora-cmd.darwin-arm64.zip No need to install Oracle client library. Convenient to…

  • Update SQL Server table through CSV via command line on MacOS

    Want to import CSV to update rows in SQL Server table via command line on MacOS? Using mssql-cmd, a Command-Line client for SQL Server, you can import CSV/TSV/TXT data to update existing SQL Server table easily and fast. Support Windows, Linux, and MacOS. Download mssql-cmd MacOS version mssql-cmd.darwin-amd64.zip mssql-cmd.darwin-arm64.zip No need to install SQL Server…