| // 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. |
| |
| package csv_test |
| |
| import ( |
| "fmt" |
| "os" |
| |
| "github.com/apache/arrow-go/v18/arrow" |
| "github.com/apache/arrow-go/v18/arrow/array" |
| arrowcsv "github.com/apache/arrow-go/v18/arrow/csv" |
| ) |
| |
| func Example_reader() { |
| filePath := "../../arrow-testing/data/csv/aggregate_test_100.csv" // Test csv file |
| f, err := os.Open(filePath) |
| if err != nil { |
| fmt.Printf("Failed to open file: %v\n", err) |
| return |
| } |
| defer f.Close() |
| |
| // Schema defined in the csv file |
| schema := arrow.NewSchema([]arrow.Field{ |
| {Name: "c1", Type: arrow.BinaryTypes.String, Nullable: true}, |
| {Name: "c2", Type: arrow.PrimitiveTypes.Int64, Nullable: true}, |
| {Name: "c3", Type: arrow.PrimitiveTypes.Int64, Nullable: true}, |
| {Name: "c4", Type: arrow.PrimitiveTypes.Int64, Nullable: true}, |
| {Name: "c5", Type: arrow.PrimitiveTypes.Int64, Nullable: true}, |
| {Name: "c6", Type: arrow.PrimitiveTypes.Int64, Nullable: true}, |
| {Name: "c7", Type: arrow.PrimitiveTypes.Int64, Nullable: true}, |
| {Name: "c8", Type: arrow.PrimitiveTypes.Int64, Nullable: true}, |
| {Name: "c9", Type: arrow.PrimitiveTypes.Int64, Nullable: true}, |
| {Name: "c10", Type: arrow.PrimitiveTypes.Int64, Nullable: true}, |
| {Name: "c11", Type: arrow.PrimitiveTypes.Float64, Nullable: true}, |
| {Name: "c12", Type: arrow.PrimitiveTypes.Float64, Nullable: true}, |
| {Name: "c13", Type: arrow.BinaryTypes.String, Nullable: true}, |
| }, nil) |
| |
| reader := arrowcsv.NewReader(f, schema, arrowcsv.WithHeader(true), arrowcsv.WithChunk(-1)) |
| defer reader.Release() |
| |
| // Read the first record |
| if !reader.Next() { |
| if err := reader.Err(); err != nil { |
| fmt.Printf("Error reading CSV: %v\n", err) |
| return |
| } |
| fmt.Println("No records found") |
| return |
| } |
| |
| // Get the record but don't release it - the reader will handle that |
| record := reader.RecordBatch() |
| |
| fmt.Printf("Number of rows: %d\n", record.NumRows()) |
| fmt.Printf("Number of columns: %d\n", record.NumCols()) |
| fmt.Println() |
| |
| fmt.Println("Basic statistics for numeric columns:") |
| for i := 1; i < 10; i++ { // cols c2 through c10 are Int64 |
| col := record.Column(i).(*array.Int64) |
| var sum int64 |
| for j := 0; j < col.Len(); j++ { |
| sum += col.Value(j) |
| } |
| avg := float64(sum) / float64(col.Len()) |
| fmt.Printf("Column c%d: Average = %.2f\n", i+1, avg) |
| } |
| |
| for i := 10; i < 12; i++ { // cols c11 and c12 are Float64 |
| col := record.Column(i).(*array.Float64) |
| var sum float64 |
| for j := 0; j < col.Len(); j++ { |
| sum += col.Value(j) |
| } |
| avg := sum / float64(col.Len()) |
| fmt.Printf("Column c%d: Average = %.4f\n", i+1, avg) |
| } |
| |
| // Output: |
| // Number of rows: 100 |
| // Number of columns: 13 |
| // |
| // Basic statistics for numeric columns: |
| // Column c2: Average = 2.85 |
| // Column c3: Average = 7.81 |
| // Column c4: Average = 2319.97 |
| // Column c5: Average = 158626279.61 |
| // Column c6: Average = 59276376114661656.00 |
| // Column c7: Average = 130.60 |
| // Column c8: Average = 30176.41 |
| // Column c9: Average = 2220897700.60 |
| // Column c10: Average = -86834033398685392.00 |
| // Column c11: Average = 0.4793 |
| // Column c12: Average = 0.5090 |
| } |