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| #include <iostream>
#include <GPUdb.hpp>
const std::string COL_1 = "col1";
const std::string COL_2 = "col2";
const std::string COL_GROUP_ID = "group_id";
const std::string STR_GROUP_1_CONST = "Group 1";
const std::string STR_GROUP_2_CONST = "Group 2";
const std::string my_table("my_table_1");
// helper functions prototypes
void print_GetRecordsResponse(const gpudb::GetRecordsResponse<gpudb::GenericRecord>&);
void insertRecordsLocal(gpudb::GPUdb& h_db, gpudb::Type myTypeSchema, int start, int end, double col1_const, std::string col2_const, std::string group_id_const, bool display_record_ids = false);
int main(int argc, char *argv[])
{
std::map<std::string, std::string> options;
gpudb::GPUdb h_db("https://abcdefg.cloud.kinetica.com/hijklmn/gpudb-0;CombinePrepareAndExecute=1;RowsPerFetch=20000");
std::vector<gpudb::Type::Column> columns;
columns.push_back(gpudb::Type::Column(COL_1, gpudb::Type::Column::ColumnType::DOUBLE));
columns.push_back(gpudb::Type::Column(COL_2, gpudb::Type::Column::ColumnType::STRING));
columns.push_back(gpudb::Type::Column(COL_GROUP_ID, gpudb::Type::Column::ColumnType::STRING));
gpudb::Type myType("my_type_1", columns);
std::string type_id_1 = myType.create(h_db);
std::cout << "GPUdb generated type id for the new type - " << type_id_1 << std::endl;
try
{
gpudb::CreateTableResponse response = h_db.createTable(my_table, type_id_1, options);
}
catch (const std::exception& ex)
{
std::cout << "Caught Exception: " << ex.what() << std::endl;
return 10;
}
try
{
// Insert some records into the table
insertRecordsLocal(h_db, myType, 1, 10, 0.1, "string ", STR_GROUP_1_CONST, true);
// Call the helper function to Retrieve records from the table
gpudb::GetRecordsResponse<gpudb::GenericRecord> response = h_db.getRecords<gpudb::GenericRecord>(myType, my_table, 0, 100, options);
print_GetRecordsResponse(response);
// Filter the records by an expression into a view
std::string my_view("my_view_1");
std::string my_filterExpr("col1=1.1");
gpudb::FilterResponse filter_resp = h_db.filter(my_table, my_view, my_filterExpr, options);
std::cout << "Number of records returned by filter expression: " << filter_resp.count << std::endl;
// Retrieve records from the view
response = h_db.getRecords<gpudb::GenericRecord>(myType, my_view, 0, 100, options);
print_GetRecordsResponse(response);
// Drop the view (same function as dropping a table)
gpudb::ClearTableResponse clrTbl_Resp = h_db.clearTable(my_view, "", options);
// Apply a filter condition with two columns
my_filterExpr = "col1 <= 9 and group_id=\"Group 1\"";
filter_resp = h_db.filter(my_table, my_view, my_filterExpr, options);
std::cout << "Number of records returned by second filter expression: " << filter_resp.count << std::endl;
response = h_db.getRecords<gpudb::GenericRecord>(myType, my_view, 0, 100, options);
print_GetRecordsResponse(response);
// Filter by a list of values. Note also query chaining - query run on another view.
std::string my_view2("my_view_2");
std::map<std::string, std::vector<std::string> > my_filterList;
my_filterList["col1"].push_back("1.1");
my_filterList["col1"].push_back("2.1");
my_filterList["col1"].push_back("5.1");
gpudb::FilterByListResponse filterByList_resp = h_db.filterByList(my_view, my_view2, my_filterList, options);
std::cout << "Number of records returned by filter by list expression " << filterByList_resp.count << std::endl;
response = h_db.getRecords<gpudb::GenericRecord>(myType, my_view2, 0, 100, options);
print_GetRecordsResponse(response);
// Filter by a range
std::string my_view3("my_view_3");
gpudb::FilterByRangeResponse filterByRange_resp = h_db.filterByRange(my_view, my_view3, COL_1, 1, 5, options);
std::cout << "Number of records returned by filter by range expression " << filterByRange_resp.count << std::endl;
response = h_db.getRecords<gpudb::GenericRecord>(myType, my_view3, 0, 100, options);
print_GetRecordsResponse(response);
// Insert New Records
insertRecordsLocal(h_db, myType, 1, 8, 10.1, "string ", STR_GROUP_2_CONST);
// Retrieve unique values for a column
gpudb::AggregateUniqueResponse aggrUniq_resp = h_db.aggregateUnique(my_table, COL_GROUP_ID, 0, 100, options);
std::cout << "Unique values in group_id column " << aggrUniq_resp.data.size() << std::endl;
std::cout << "Schema " << aggrUniq_resp.responseSchemaStr << std::endl;
for (size_t i = 0; i < aggrUniq_resp.data.size(); ++i)
{
const gpudb::DynamicTableRecord& record = aggrUniq_resp.data[i];
// already know the returned column and its type ; just print it.
assert(record.getFieldCount() == 1);
std::cout << '"' << record.value<std::string>(0) << "\", ";
}
// "Group by" query
std::cout << "Calling aggregateGroupBy on a single column. ";
std::vector<std::string> col_names;
col_names.push_back(COL_2);
gpudb::AggregateGroupByResponse aggrGB_resp = h_db.aggregateGroupBy(my_table, col_names, 0, 100, options);
std::cout << "Number of unique values in col2 " << aggrGB_resp.data.size() << std::endl;
std::cout << "Schema " << aggrGB_resp.responseSchemaStr << std::endl;
for (size_t i = 0; i < aggrGB_resp.data.size(); ++i)
{
const gpudb::DynamicTableRecord& record = aggrGB_resp.data[i];
assert(record.getFieldCount() == 2);
std::cout << '"' << record.value<std::string>(0) << '"';
std::cout << ':' << record.getAsDouble(1) << std::endl;
}
std::cout << "Calling aggregateGroupBy to retrieve stats on a column. ";
col_names.clear();
col_names.push_back(COL_GROUP_ID);
col_names.push_back("count(*)");
col_names.push_back("sum(col1)");
col_names.push_back("avg(col1)");
aggrGB_resp = h_db.aggregateGroupBy(my_table, col_names, 0, 100, options);
std::cout << "Number of unique values in group_id column " << aggrGB_resp.data.size() << std::endl;
// std::cout << "Schema " << aggrGB_resp.responseSchemaStr << std::endl;
// Parse the group by response.
const gpudb::GenericRecord& rec1 = aggrGB_resp.data[0];
for (size_t j = 0; j < rec1.getType().getColumnCount(); j++)
{
std::cout << rec1.getType().getColumn(j).getName() << '\t';
}
std::cout << std::endl;
// print the values from the response
for (size_t i = 0; i < aggrGB_resp.data.size(); ++i)
{
const gpudb::DynamicTableRecord& record = aggrGB_resp.data[i];
assert(record.getFieldCount() == col_names.size());
for (size_t j = 0; j < record.getType().getColumnCount(); j++)
{
switch (record.getType().getColumn(j).getType())
{
case gpudb::Type::Column::STRING:
std::cout << '"' << record.value<std::string>(j) << "\"\t";
break;
case gpudb::Type::Column::DOUBLE:
std::cout << record.getAsDouble(j) << '\t';
break;
case gpudb::Type::Column::FLOAT:
std::cout << record.getAsFloat(j) << '\t';
break;
case gpudb::Type::Column::INT:
std::cout << record.getAsInt(j) << '\t';
break;
case gpudb::Type::Column::LONG:
std::cout << record.getAsLong(j) << '\t';
break;
default:
std::cout << "!Unhandled Type!" << '\t';
}
}
std::cout << std::endl;
}
// expressions in group by
std::cout << "Calling aggregateGroupBy for an expression. ";
col_names.clear();
col_names.push_back(COL_GROUP_ID);
col_names.push_back("sum(col1*10)");
aggrGB_resp = h_db.aggregateGroupBy(my_table, col_names, 0, 100, options);
std::cout << "Unique values in group_id column " << aggrGB_resp.data.size() << std::endl;
std::cout << "Schema " << aggrGB_resp.responseSchemaStr << std::endl;
const gpudb::DynamicTableRecord& rec2 = aggrGB_resp.data[0];
for (size_t j = 0; j < rec2.getType().getColumnCount(); j++)
{
std::cout << rec2.getType().getColumn(j).getName() << '\t';
}
std::cout << std::endl;
for (size_t i = 0; i < aggrGB_resp.data.size(); ++i)
{
const gpudb::DynamicTableRecord& record = aggrGB_resp.data[i];
assert(record.getFieldCount() == col_names.size());
for (size_t j = 0; j < record.getType().getColumnCount(); j++)
{
switch (record.getType().getColumn(j).getType())
{
case gpudb::Type::Column::STRING:
std::cout << '"' << record.value<std::string>(j) << "\"\t";
break;
case gpudb::Type::Column::DOUBLE:
std::cout << record.getAsDouble(j) << '\t';
break;
case gpudb::Type::Column::FLOAT:
std::cout << record.getAsFloat(j) << '\t';
break;
case gpudb::Type::Column::INT:
std::cout << record.getAsInt(j) << '\t';
break;
case gpudb::Type::Column::LONG:
std::cout << record.getAsLong(j) << '\t';
break;
default:
std::cout << "!Unhandled Type!" << '\t';
}
}
std::cout << std::endl;
}
// Insert few more records
insertRecordsLocal(h_db, myType, 4, 10, 0.6, "string 2", STR_GROUP_1_CONST);
// Aggregate Histogram
std::cout << "Calling aggregateHistogram. ";
double range_start = 0.0;
double range_end = 11;
double interval = 1;
gpudb::AggregateHistogramResponse aggrHist_resp = h_db.aggregateHistogram(my_table, COL_1, range_start, range_end, interval, options);
std::cout << "Num Histogram bins: " << aggrHist_resp.counts.size()
<< " Start: " << aggrHist_resp.start
<< " end: " << aggrHist_resp.end << std::endl;
std::cout << "Count per bin - ";
std::copy(aggrHist_resp.counts.begin(), aggrHist_resp.counts.end(), std::ostream_iterator<int>(std::cout, ", "));
std::cout << std::endl;
}
catch (const std::exception& ex)
{
std::cout << "Caught Exception: " << ex.what() << std::endl;
return 1;
}
return 0;
}
// Helper functions
// Insert new records to the table
void insertRecordsLocal(gpudb::GPUdb& h_db, gpudb::Type myTypeSchema, int start, int end, double col1_const, std::string col2_const, std::string group_id_const, bool display_record_ids)
{
std::map<std::string, std::string> options;
std::vector<gpudb::GenericRecord> record_list;
for (int i = start; i < end; i++)
{
gpudb::GenericRecord datum(myTypeSchema);
datum.setAsDouble(COL_1,i + col1_const);
std::ostringstream ostr;
ostr << col2_const << i;
datum.setAsString(COL_2,ostr.str());
datum.setAsString(COL_GROUP_ID,group_id_const);
record_list.push_back(datum);
}
options["return_record_ids"] = "true"; // optionally request record_ids
gpudb::InsertRecordsResponse response = h_db.insertRecords(my_table, record_list, options);
options.clear();
if (display_record_ids)
{
std::cout << "Record Ids for " << response.countInserted << " new records - [";
std::copy(response.recordIds.begin(), response.recordIds.end() - 1, std::ostream_iterator<std::string>(std::cout, "', '"));
std::cout << "'" << *(response.recordIds.end() - 1) << "']" << std::endl;
}
else
{
std::cout << response.countInserted << " new records inserted." << std::endl;
}
}
// Print the records from the table
void print_GetRecordsResponse(const gpudb::GetRecordsResponse<gpudb::GenericRecord>& response)
{
// std::cout << "response schema - " << response.typeSchema << std::endl;
for (unsigned int i = 0; i < response.data.size(); ++i)
{
const gpudb::GenericRecord& record = response.data[i];
std::cout << "\"" << COL_1 << "\":" << record.getAsDouble(COL_1)
<< ", \"" << COL_2 << "\":\"" << record.getAsString(COL_2) << std::flush
<< "\", \"" << COL_GROUP_ID << "\":\"" << record.getAsString(COL_GROUP_ID) << "\"\n";
}
}
|
