# error using \`@everywhere\` in conjunction with \`using\`

**URL:** <https://discourse.julialang.org/t/error-using-everywhere-in-conjunction-with-using/9431>\
**Category:** General Usage\
**Created:** [March 1, 2018, 9:58pm UTC](https://discourse.julialang.org/t/error-using-everywhere-in-conjunction-with-using/9431 "2018-03-01T21:58:27Z")\
**Posts on this page:** 1\
**Page:** 1

<div class="post-metadata">

**Author:** ![affans](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/affans/32/11911_2.png) [@affans](https://discourse.julialang.org/u/affans)\
**Post date:** [March 1, 2018, 9:58pm UTC](https://discourse.julialang.org/t/error-using-everywhere-in-conjunction-with-using/9431/1 "2018-03-01T21:58:27Z")

</div>

I have a very weird bug that has just popped up. After adding my workers (through the SLURM workload manager - this part is good), I can’t seem to execute `@everywhere using [packagename]`.

This never happened before. My code use to run fine just a month ago and now suddenly it has stopped working. I don’t think anything has changed in terms of the server configuration or Julia version, although I am not 100% sure about this.

Here are some code snippets.

Here are the workers:

```julia
julia> workers()
16-element Array{Int64,1}:
  2
  3
  4
  5
  6
  7
  8
  9
 10
 11
 12
 13
 14
 15
 16
 17

```

Here are the errors:

```julia
julia> @everywhere using DataFrames
ERROR: On worker 2:
BoundsError: attempt to access 229-element Array{Any,1} at index [0]
handle_deserialize at ./serialize.jl:662
deserialize_msg at ./distributed/messages.jl:98
message_handler_loop at ./distributed/process_messages.jl:161
process_tcp_streams at ./distributed/process_messages.jl:118
#99 at ./event.jl:73
#remotecall_fetch#141(::Array{Any,1}, ::Function, ::Function, ::Base.Distributed.Worker, ::Expr, ::Vararg{Expr,N} where N) at ./distributed/remotecall.jl:354
remotecall_fetch(::Function, ::Base.Distributed.Worker, ::Expr, ::Vararg{Expr,N} where N) at ./distributed/remotecall.jl:346
#remotecall_fetch#144(::Array{Any,1}, ::Function, ::Function, ::Int64, ::Expr, ::Vararg{Expr,N} where N) at ./distributed/remotecall.jl:367
remotecall_fetch(::Function, ::Int64, ::Expr, ::Vararg{Expr,N} where N) at ./distributed/remotecall.jl:367
(::##14#16)() at ./distributed/macros.jl:102

...and 15 more exception(s).

Stacktrace:
 [1] sync_end() at ./task.jl:287
 [2] macro expansion at ./distributed/macros.jl:112 [inlined]
 [3] anonymous at ./<missing>:?
 [4] macro expansion at ./REPL.jl:97 [inlined]
 [5] (::Base.REPL.##1#2{Base.REPL.REPLBackend})() at ./event.jl:73

```

or

```julia
julia> @everywhere using Parameters
ERROR: On worker 2:
BoundsError: attempt to access 229-element Array{Any,1} at index [0]
handle_deserialize at ./serialize.jl:662
deserialize_msg at ./distributed/messages.jl:98
message_handler_loop at ./distributed/process_messages.jl:161
process_tcp_streams at ./distributed/process_messages.jl:118
#99 at ./event.jl:73
#remotecall_fetch#141(::Array{Any,1}, ::Function, ::Function, ::Base.Distributed.Worker, ::Expr, ::Vararg{Expr,N} where N) at ./distributed/remotecall.jl:354
remotecall_fetch(::Function, ::Base.Distributed.Worker, ::Expr, ::Vararg{Expr,N} where N) at ./distributed/remotecall.jl:346
#remotecall_fetch#144(::Array{Any,1}, ::Function, ::Function, ::Int64, ::Expr, ::Vararg{Expr,N} where N) at ./distributed/remotecall.jl:367
remotecall_fetch(::Function, ::Int64, ::Expr, ::Vararg{Expr,N} where N) at ./distributed/remotecall.jl:367
(::##22#24)() at ./distributed/macros.jl:102

...and 15 more exception(s).

Stacktrace:
 [1] sync_end() at ./task.jl:287
 [2] macro expansion at ./distributed/macros.jl:112 [inlined]
 [3] anonymous at ./<missing>:?
 [4] macro expansion at ./REPL.jl:97 [inlined]
 [5] (::Base.REPL.##1#2{Base.REPL.REPLBackend})() at ./event.jl:73

```

But it seems that basic statements work fine

```julia
julia> @everywhere a = b = 10
julia> 

```

I’ve gone through the Julia source code to debug but I can not figure out what 229-element `Array` it is failing at.

* * *

Working with Julia 0.6.2.