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/*
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF licenses this file
* to you under the Apache License, Version 2.0 (the
* "License"); you may not use this file except in compliance
* with the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing,
* software distributed under the License is distributed on an
* "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
* KIND, either express or implied. See the License for the
* specific language governing permissions and limitations
* under the License.
*/
#include <iostream>
#include "arrow/api.h"
#include "arrow/filesystem/api.h"
#include "./config.h"
#include "gar/api.h"
#include "gar/graph.h"
#include "gar/reader/arrow_chunk_reader.h"
#include "gar/writer/arrow_chunk_writer.h"
int main(int argc, char* argv[]) {
// read file and construct graph info
std::string path =
TEST_DATA_DIR + "/ldbc_sample/parquet/ldbc_sample.graph.yml";
auto graph_info = graphar::GraphInfo::Load(path).value();
// construct vertices collection
std::string label = "person";
ASSERT(graph_info->GetVertexInfo(label) != nullptr);
auto maybe_vertices = graphar::VerticesCollection::Make(graph_info, label);
ASSERT(maybe_vertices.status().ok());
auto& vertices = maybe_vertices.value();
int num_vertices = vertices->size();
std::cout << "num_vertices: " << num_vertices << std::endl;
// construct edges collection
std::string src_label = "person", edge_label = "knows", dst_label = "person";
auto maybe_edges = graphar::EdgesCollection::Make(
graph_info, src_label, edge_label, dst_label,
graphar::AdjListType::ordered_by_source);
ASSERT(!maybe_edges.has_error());
auto& edges = maybe_edges.value();
// run pagerank algorithm
const double damping = 0.85;
const int max_iters = 10;
std::vector<double> pr_curr(num_vertices);
std::vector<double> pr_next(num_vertices);
std::vector<graphar::IdType> out_degree(num_vertices);
for (graphar::IdType i = 0; i < num_vertices; i++) {
pr_curr[i] = 1 / static_cast<double>(num_vertices);
pr_next[i] = 0;
out_degree[i] = 0;
}
auto it_begin = edges->begin(), it_end = edges->end();
for (auto it = it_begin; it != it_end; ++it) {
graphar::IdType src = it.source();
out_degree[src]++;
}
for (int iter = 0; iter < max_iters; iter++) {
std::cout << "iter " << iter << std::endl;
for (auto it = it_begin; it != it_end; ++it) {
graphar::IdType src = it.source(), dst = it.destination();
pr_next[dst] += pr_curr[src] / out_degree[src];
}
for (graphar::IdType i = 0; i < num_vertices; i++) {
pr_next[i] = damping * pr_next[i] +
(1 - damping) * (1 / static_cast<double>(num_vertices));
if (out_degree[i] == 0)
pr_next[i] += damping * pr_curr[i];
pr_curr[i] = pr_next[i];
pr_next[i] = 0;
}
}
// extend the original vertex info and write results to gar using writer
// construct property group
graphar::Property pagerank("pagerank", graphar::float64(), false);
std::vector<graphar::Property> property_vector = {pagerank};
auto group =
graphar::CreatePropertyGroup(property_vector, graphar::FileType::PARQUET);
// extend the vertex_info
auto vertex_info = graph_info->GetVertexInfo(label);
auto maybe_extend_info = vertex_info->AddPropertyGroup(group);
ASSERT(maybe_extend_info.status().ok());
auto extend_info = maybe_extend_info.value();
// dump the extened vertex info
ASSERT(extend_info->IsValidated());
ASSERT(extend_info->Dump().status().ok());
ASSERT(extend_info->Save("/tmp/person-new-pagerank.vertex.yml").ok());
// construct vertex property writer
graphar::VertexPropertyWriter writer(extend_info, "/tmp/");
// convert results to arrow::Table
std::vector<std::shared_ptr<arrow::Array>> arrays;
std::vector<std::shared_ptr<arrow::Field>> schema_vector;
schema_vector.push_back(
arrow::field(pagerank.name,
graphar::DataType::DataTypeToArrowDataType(pagerank.type)));
arrow::DoubleBuilder array_builder;
ASSERT(array_builder.Reserve(num_vertices).ok());
ASSERT(array_builder.AppendValues(pr_curr).ok());
std::shared_ptr<arrow::Array> array = array_builder.Finish().ValueOrDie();
arrays.push_back(array);
auto schema = std::make_shared<arrow::Schema>(schema_vector);
std::shared_ptr<arrow::Table> table = arrow::Table::Make(schema, arrays);
// dump the results through writer
ASSERT(writer.WriteTable(table, group, 0).ok());
}