Support ability to append data to StochasticResults

(closes #14412)

(refs #14410)

modules/stochastic_tools/src/transfers/SamplerPostprocessorTransfer.C

@@ -61,8 +61,13 @@ SamplerPostprocessorTransfer::initializeFromMultiapp()
   VectorPostprocessorValue & vpp =
       _fe_problem.getVectorPostprocessorValue(_master_vpp_name, _sampler_ptr->name(), false);
 
-  vpp.clear();
-  vpp.reserve(_sampler_ptr->getNumberOfLocalRows());
+  if (_results->containsCompleteHistory())
+    vpp.reserve(vpp.size() + _sampler_ptr->getNumberOfLocalRows());
+  else
+  {
+    vpp.clear();
+    vpp.reserve(_sampler_ptr->getNumberOfLocalRows());
+  }
 }
 
 void
@@ -93,8 +98,13 @@ SamplerPostprocessorTransfer::execute()
   VectorPostprocessorValue & vpp =
       _fe_problem.getVectorPostprocessorValue(_master_vpp_name, _sampler_ptr->name(), false);
 
-  vpp.clear();
-  vpp.reserve(_sampler_ptr->getNumberOfLocalRows());
+  if (_results->containsCompleteHistory())
+    vpp.reserve(vpp.size() + _sampler_ptr->getNumberOfLocalRows());
+  else
+  {
+    vpp.clear();
+    vpp.reserve(_sampler_ptr->getNumberOfLocalRows());
+  }
 
   for (dof_id_type i = _sampler_ptr->getLocalRowBegin(); i < _sampler_ptr->getLocalRowEnd(); ++i)
   {

modules/stochastic_tools/test/tests/vectorpostprocessors/stochastic_results_complete_history/gold/master_out_storage.csv

@@ -0,0 +1,7 @@
+sample
+0.21807618260197
+0.29861301975328
+0.26436928795656
+0.27233202431949
+0.37553147478812
+0.35621162097419

modules/stochastic_tools/test/tests/vectorpostprocessors/stochastic_results_complete_history/master.i

@@ -0,0 +1,84 @@
+[Mesh]
+  type = GeneratedMesh
+  dim = 1
+  nx = 1
+  ny = 1
+[]
+
+[Variables]
+  [u]
+  []
+[]
+
+[Distributions]
+  [uniform_left]
+    type = UniformDistribution
+    lower_bound = 0
+    upper_bound = 0.5
+  []
+  [uniform_right]
+    type = UniformDistribution
+    lower_bound = 1
+    upper_bound = 2
+  []
+[]
+
+[Samplers]
+  [sample]
+    type = MonteCarloSampler
+    num_rows = 3
+    distributions = 'uniform_left uniform_right'
+    execute_on = 'INITIAL TIMESTEP_END'
+  []
+[]
+
+[MultiApps]
+  [sub]
+    type = SamplerTransientMultiApp
+    input_files = sub.i
+    sampler = sample
+  []
+[]
+
+[Transfers]
+  [runner]
+    type = SamplerParameterTransfer
+    multi_app = sub
+    sampler = sample
+    parameters = 'BCs/left/value BCs/right/value'
+    to_control = 'stochastic'
+  []
+  [data]
+    type = SamplerPostprocessorTransfer
+    multi_app = sub
+    sampler = sample
+    vector_postprocessor = storage
+    postprocessor = avg
+  []
+[]
+
+[VectorPostprocessors]
+  [storage]
+    type = StochasticResults
+    parallel_type = DISTRIBUTED
+    samplers = sample
+    contains_complete_history = true
+  []
+[]
+
+[Executioner]
+  type = Transient
+  num_steps = 2
+[]
+
+[Problem]
+  solve = false
+  kernel_coverage_check = false
+[]
+
+[Outputs]
+  [out]
+    type = CSV
+    execute_on = FINAL
+  []
+[]

modules/stochastic_tools/test/tests/vectorpostprocessors/stochastic_results_complete_history/sub.i

@@ -0,0 +1,61 @@
+[Mesh]
+  type = GeneratedMesh
+  dim = 1
+  nx = 10
+[]
+
+[Variables]
+  [u]
+  []
+[]
+
+[Kernels]
+  [diff]
+    type = Diffusion
+    variable = u
+  []
+  [time]
+    type = TimeDerivative
+    variable = u
+  []
+[]
+
+[BCs]
+  [left]
+    type = DirichletBC
+    variable = u
+    boundary = left
+    value = 0
+  []
+  [right]
+    type = DirichletBC
+    variable = u
+    boundary = right
+    value = 1
+  []
+[]
+
+[Executioner]
+  type = Transient
+  num_steps = 2
+  dt = 0.01
+  solve_type = PJFNK
+  petsc_options_iname = '-pc_type -pc_hypre_type'
+  petsc_options_value = 'hypre boomeramg'
+[]
+
+[Controls]
+  [stochastic]
+    type = SamplerReceiver
+  []
+[]
+
+[Postprocessors]
+  [avg]
+    type = AverageNodalVariableValue
+    variable = u
+  []
+[]
+
+[Outputs]
+[]

modules/stochastic_tools/test/tests/vectorpostprocessors/stochastic_results_complete_history/tests

@@ -0,0 +1,13 @@
+[Tests]
+  issues = '#14412'
+  design = 'StochasticResults.md'
+
+  [test]
+    type = CSVDiff
+    input = master.i
+    csvdiff = master_out_storage.csv
+
+    requirement = "The system shall support the collection of stochastic data that can be appended "
+                  "into a single data set."
+  []
+[]