![]() ![]() However what I wanted t discuss is the concept of "denying access to submit.php". I prefer the latter because I use a DOCROOT/.htaccess anyway and this keeps all such control in one file. We are excited about this step and joining the growing Arrow community.Your Q comes in two parts, both jeroen and anubhava's solutions work for part I - denying access to /includes. Some plugins that are going to gain an immediate boost of rich type systems are our database-to-database replication plugins such as PostgreSQL CDC source plugin (and all database destinations) that are going to get support for all available types including nested ones. Also, there is already built-in mapping from/to the arrow type system and the parquet type system (including nested types) which already supported in many of the arrow libraries as explained here.Īdopting Apache Arrow as the CloudQuery in-memory type system enables us to gain better performance, data interoperability and developer experience. ![]() lists, structs and maps of all the available types) and ability to extend the type system with custom types. Rich Data Types: Arrow supports more than 35 types including composite types (i.e.Moreover, just the performance of sending Arrow format from source plugin to destination is already more performant and memory efficient, given its “zero-copy” nature and not needing serialization/deserialization. Performance: Arrow adoption is rising especially in columnar based databases ( DuckDB, ClickHouse, BigQuery) and file formats ( Parquet) which makes it easier to write CloudQuery destination or source plugins for databases that already support Arrow as well as much more efficient as we remove the need for additional serialization and transformation step.For CloudQuery this is important as it makes it much easier to develop source or destination plugins in different languages. Cross-language with extensive libraries for different languages - The format is defined via flatbuffers in such way that you can parse it in any language and already has extensive support in C/C++, C#, Go, Java, JavaScript, Julia, Matlab, Python, R, Ruby and Rust (at the time of writing).Apache Arrow defines a language-independent columnar format for flat and hierarchical data, and brings the following advantages: Also, performance-wise, lots of the time spent in an ELT process is around converting data from one format to another, so we wanted to take a step back and see if we can avoid this famous XKCD (by building yet another format): For example, in database to database replication, we needed to support many more types, including nested types. This served us well, but we started to hit limitations in various use-cases. Why Arrow?īefore Arrow, we used our own type system that supported more than 14 types. In Arrow terminology, these are a schema and a record batch. So to recap, the source plugin sends mainly two things to a destination: 1) the schema 2) the records that fit the defined schema. The destination plugin can then easily create the schema for its database and transform the incoming data to the destination types. Source plugins extract information from APIs in the most performant way possible, defining a schema and then transforming the result from the API (JSON or any other format) to a well-defined type system. This is crucial to allowing the addition of new destinations and updating old destinations without requiring updates to source plugin code (which otherwise would introduce an unmaintainable architecture). Sources and destinations are decoupled and communicate via gRPC. ![]()
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