Question 1

How do I import a CSV file into Realm using Realm Converter?

Accepted Answer

Use the ImportSchemaGenerator to analyze CSV files and generate a compatible schema, then pass that schema and file paths to CSVDataImporter to create the Realm file. The README example shows this two-step process for seamless data ingestion.

Question 2

Can Realm Converter export data to Excel format?

Accepted Answer

No, it only exports to CSV format. If you need XLSX output, you'll have to convert the CSV using external tools, as the exporter doesn't support direct Excel file generation.

Question 3

Realm Converter vs writing custom import code – which is better?

Accepted Answer

Realm Converter automates schema generation and standard format handling, saving time for common use cases. For highly customized data transformations or performance-critical pipelines, manual code might offer more control and efficiency.

Question 4

How to handle large JSON files with Realm Converter?

Accepted Answer

The README doesn't specify performance limits, so test with your data size. For large files, ensure adequate memory and consider splitting data into batches, as the tool may not be optimized for streaming or massive datasets.

Question 5

Is Realm Converter compatible with Realm Sync?

Accepted Answer

It focuses on local file import/export and doesn't integrate directly with Realm's sync features. You'd typically import data locally first, then use Realm's sync capabilities separately if needed.

Question 6

What are the limitations of Realm Converter's schema generation?

Accepted Answer

Schema generation relies on file analysis and may struggle with complex nested JSON or inconsistent CSV headers. Errors aren't detailed in the README, so validation and manual adjustments might be necessary for non-standard data.

realm-cocoa-converter

What is realm-cocoa-converter?

Overview

Use Cases

Best For

Related Projects

Found a gem we're missing?

Not Ideal For

Pros & Cons

Pros

Cons

Frequently Asked Questions