] add ParquetFiles in Julia to install ParquetFiles and its dependencies.
Load a Parquet file
To read a Parquet file into a
DataFrame, use the following julia code:
using ParquetFiles, DataFrames df = DataFrame(load("data.parquet"))
The call to
load returns a
struct that is an IterableTable.jl, so it can be passed to any function that can handle iterable tables, i.e. all the sinks in IterableTable.jl. Here are some examples of materializing a Parquet file into data structures that are not a
using ParquetFiles, IndexedTables, TimeSeries, Temporal, VegaLite # Load into an IndexedTable it = IndexedTable(load("data.parquet")) # Load into a TimeArray ta = TimeArray(load("data.parquet")) # Load into a TS ts = TS(load("data.parquet")) # Plot directly with Gadfly @vlplot(:point, data=load("data.parquet"), x=:a, y=:b)
Using the pipe syntax
load also support the pipe syntax. For example, to load a Parquet file into a
DataFrame, one can use the following code:
using ParquetFiles, DataFrame df = load("data.parquet") |> DataFrame
The pipe syntax is especially useful when combining it with Query.jl queries, for example one can easily load a Parquet file, pipe it into a query, then pipe it to the
save function to store the results in a new file.