# README
PGX POOL MOCK
This repo is mock pgxpool
in https://github.com/jackc/pgx. so that you can test your data access code locally, no real database is needed.
I also strongly recommend you use pgxpool
rather than pgx
only. see https://github.com/jackc/pgx/tree/master/pgxpool
How to install
go get github.com/driftprogramming/pgxpoolmock
How to Use
See file order_dao_example_test.go
to figure out how to use it. Or see the below:
package pgxpoolmock_test
import (
"testing"
"github.com/driftprogramming/pgxpoolmock"
"github.com/driftprogramming/pgxpoolmock/testdata"
"github.com/golang/mock/gomock"
"github.com/stretchr/testify/assert"
)
func TestName(t *testing.T) {
t.Parallel()
ctrl := gomock.NewController(t)
defer ctrl.Finish()
// given
mockPool := pgxpoolmock.NewMockPgxPool(ctrl)
columns := []string{"id", "price"}
pgxRows := pgxpoolmock.NewRows(columns).AddRow(100, 100000.9).ToPgxRows()
mockPool.EXPECT().Query(gomock.Any(), gomock.Any(), gomock.Any()).Return(pgxRows, nil)
orderDao := testdata.OrderDAO{
Pool: mockPool,
}
// when
actualOrder := orderDao.GetOrderByID(1)
// then
assert.NotNil(t, actualOrder)
assert.Equal(t, 100, actualOrder.ID)
assert.Equal(t, 100000.9, actualOrder.Price)
}
# Functions
NewMockPgxPool creates a new mock instance.
NewMockRows allows Rows to be created from a sql interface{} slice or from the CSV string and to be used as sql driver.Rows.
NewRowsWithColumnDefinition return rows with columns metadata.
# Variables
CSVColumnParser is a function which converts trimmed csv column string to a []byte representation.
# Structs
MockPgxPool is a mock of PgxPool interface.
MockPgxPoolMockRecorder is the mock recorder for MockPgxPool.
Rows is a mocked collection of rows to return for Query result.
# Interfaces
No description provided by the author