JuliaDB.jl
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JuliaData
Parallel analytical database in pure Julia
Like what's in pandas, http://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.diff.html, or more generally http://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.shift.html
This seems to be more useful generally! I think the cost incurred in the extra allocation is negligible. We should only keep the table indexed by only those columns for...
These is a method like that for `ndsparse` tables: ```julia merge(left::DNDSparse{I1,D1}, right::DNDSparse{I2,D2}; agg=IndexedTables.right) ``` but not for indexed tables. As a side-note, there seem to be a bunch methods that...
I want to create the `max(v1)` and `sum(v2)` grouped by `id`. This is my code ```julia groupreduce(max, mytable, :id, select = :v1) groupreduce(+, mytable, :id, select = :v2) ``` but...
Cannot add a row to a loaded table: ```julia using JuliaDB t = table((x = [1], y = [2])) save(t, "tmp.jdb") t = load("tmp.jdb") push!(rows(t), (x = 3, y =...
It's pretty common that an empty string (e.g. `x,,z`) would signify a missing value. I tried that with no success. But then I discovered that specifying a specific string doesn't...
Even though the Doc reads that `Union{Missing, T}` is the default type, the `table` function converts that Union to DataValue. ```julia julia> df = DataFrames.DataFrame(mis = Union{Missing, Int}[missing]) 1×1 DataFrames.DataFrame...
Hey, being new to JuliaDB I though using its save function would be straight-forward and following the rules of FileIO, thus the argument order would be `save(::IO, obj)` which let...
Memory Leak
Using a `remotecall` for distributed table operations appear to keep some reference around and temporary objects are not getting GCed correctly. @nkottary has already looked into this a little and...
I tried several times to see if the total memory usage is smaller than the worker number * chunk size. Basically, it has NO limit. I tried to use MemPool.max_memsize...
