Query is a package for querying julia data sources. It can filter, project, join, sort and group data from any iterable data source, including all the sources that support the TableTraits.jl interface (this includes everything listed in IterableTables.jl).
You can install the package at the Pkg REPL-mode with:
(v1.0) pkg> add Query
- Query contains an almost complete implementation of the query expression section of the C# specification, with some additional julia specific features added in.
- The package supports a large number of data sources: DataFrames.jl, Pandas.jl, IndexedTables.jl, JuliaDB.jl, TimeSeries.jl, Temporal.jl, CSVFiles.jl, ExcelFiles.jl, FeatherFiles.jl, ParquetFiles.jl, BedgraphFiles.jl, StatFiles.jl, DifferentialEquations (any DESolution), arrays and any type that can be iterated.
- The results of a query can be materialized into a range of different data structures: iterators, DataFrames.jl, IndexedTables.jl, JuliaDB.jl, TimeSeries.jl, Temporal.jl, Pandas.jl, StatsModels.jl, CSVFiles.jl, FeatherFiles.jl, ExcelFiles.jl, StatPlots.jl, VegaLite.jl, TableView.jl, DataVoyager.jl, arrays, dictionaries or any array.
- One can mix and match almost all sources and sinks within one query. For example, one can easily perform a join of a DataFrame with a CSV file and write the results into a Feather file, all within one query.
- The type instability problems that one can run into with DataFrames do not affect Query, i.e. queries against DataFrames are completely type stable.
- There are three different APIs that package authors can use to make their data sources queryable with this package. The most simple API only requires a data source to provide an iterator. Another API provides a data source with a complete graph representation of the query and the data source can e.g. rewrite that query graph as a SQL statement to execute the query. The final API allows a data source to provide its own data structures that can represent a query graph.
- The package is completely documented.