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Read csv into bytes

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将 csv 读入字节

php editor Xigua introduces you to a method of reading CSV files into bytes. CSV is a common data format commonly used to store and exchange tabular data. The traditional method is to use file operation functions to read the CSV file line by line and store it as an array or object. However, by reading CSV files into bytes, we can process large data sets more efficiently and be more economical in terms of memory usage. This method can be implemented by using the fopen function to open the file in binary mode and using the fread function to read the file contents. The bytes read in can be further processed into arrays or other data structures for data analysis and manipulation. Through this method, we can better utilize the functions of PHP to process CSV files and improve the efficiency of data processing.

Question content

I encountered some strange behavior when reading a csv file into a 2D byte slice. The first 42 rows are fine, then extra row endings seem to be put into the data which messes things up:

The first line of the first 42 times:

row 0: 504921600000000000,truck_0,south,trish,h-2,v2.3,1500,150,12,52.31854,4.72037,124,0,221,0,25

Append the first line after 43 lines:

row 0: 504921600000000000,truck_49,south,andy,f-150,v2.0,2000,200,15,38.9349,179.94282,289,0,269,0
row 1: 25

Minimum code to reproduce the problem:

package main

import (
    "bufio"
    "log"
    "os"
)

type filedatasource struct {
    scanner *bufio.scanner
}

type batch struct {
    rows [][]byte
}

func (b *batch) len() uint {
    return uint(len(b.rows))
}

func (b *batch) append(row []byte) {
    b.rows = append(b.rows, row)
    for index, row := range b.rows {
        log.printf("row %d: %s\n", index, string(row))
    }
    if len(b.rows) > 43 {

        log.fatalf("asdf")
    }
}

type factory struct{}

func (f *factory) new() *batch {
    return &batch{rows: make([][]byte, 0)}
}

func main() {
    file, _ := os.open("/tmp/data1.csv")
    scanner := bufio.newscanner(bufio.newreadersize(file, 4<<20))
    b := batch{}

    for scanner.scan() {
        b.append(scanner.bytes())
    }
}

The csv I used:

504921600000000000,truck_0,South,Trish,H-2,v2.3,1500,150,12,52.31854,4.72037,124,0,221,0,25
504921600000000000,truck_1,South,Albert,F-150,v1.5,2000,200,15,72.45258,68.83761,255,0,181,0,25
504921600000000000,truck_2,North,Derek,F-150,v1.5,2000,200,15,24.5208,28.09377,428,0,304,0,25
504921600000000000,truck_3,East,Albert,F-150,v2.0,2000,200,15,18.11037,98.65573,387,0,192,0,25
504921600000000000,truck_4,West,Andy,G-2000,v1.5,5000,300,19,81.93919,56.12266,236,0,335,0,25
504921600000000000,truck_5,East,Seth,F-150,v2.0,2000,200,15,5.00552,114.50557,89,0,187,0,25
504921600000000000,truck_6,East,Trish,G-2000,v1.0,5000,300,19,41.59689,57.90174,395,0,150,0,25
504921600000000000,truck_8,South,Seth,G-2000,v1.0,5000,300,19,21.89157,44.58919,411,0,232,0,25
504921600000000000,truck_9,South,Andy,H-2,v2.3,1500,150,12,15.67271,112.4023,402,0,75,0,25
504921600000000000,truck_10,North,Albert,F-150,v2.3,2000,200,15,35.05682,36.20513,359,0,68,0,25
504921600000000000,truck_7,East,Andy,H-2,v2.0,1500,150,12,7.74826,14.96075,105,0,323,0,25
504921600000000000,truck_11,South,Derek,F-150,v1.0,2000,200,15,87.9924,134.71544,293,0,133,0,25
504921600000000000,truck_14,North,Albert,H-2,v1.0,1500,150,12,66.68217,105.76965,222,0,252,0,25
504921600000000000,truck_18,West,Trish,F-150,v2.0,2000,200,15,67.15164,153.56165,252,0,240,0,25
504921600000000000,truck_20,North,Rodney,G-2000,v2.0,5000,300,19,38.88807,65.86698,104,0,44,0,25
504921600000000000,truck_21,East,Derek,G-2000,v2.0,5000,300,19,81.87812,167.8083,345,0,327,0,25
504921600000000000,truck_22,West,Albert,G-2000,v1.5,5000,300,19,39.9433,16.0241,449,0,42,0,25
504921600000000000,truck_23,South,Andy,F-150,v2.0,2000,200,15,73.28358,98.05159,198,0,276,0,25
504921600000000000,truck_24,West,Rodney,G-2000,v2.3,5000,300,19,22.19262,0.27462,223,0,318,0,25
504921600000000000,truck_25,North,Trish,F-150,v2.0,2000,200,15,17.26704,16.91226,461,0,183,0,25
504921600000000000,truck_26,South,Seth,F-150,v1.5,2000,200,15,45.65327,144.60354,58,0,182,0,25
504921600000000000,truck_12,East,Trish,G-2000,v1.0,5000,300,19,36.03928,113.87118,39,0,294,0,25
504921600000000000,truck_13,West,Derek,H-2,v1.0,1500,150,12,14.07479,110.77267,152,0,69,0,25
504921600000000000,truck_27,West,Seth,G-2000,v1.5,5000,300,19,79.55971,97.86182,252,0,345,0,25
504921600000000000,truck_28,West,Rodney,G-2000,v1.5,5000,300,19,60.33457,4.62029,74,0,199,0,25
504921600000000000,truck_16,South,Albert,G-2000,v1.5,5000,300,19,51.16438,121.32451,455,0,290,0,25
504921600000000000,truck_19,West,Derek,G-2000,v1.5,5000,300,19,19.69355,139.493,451,0,300,0,25
504921600000000000,truck_31,North,Albert,G-2000,v1.0,5000,300,19,0.75251,116.83474,455,0,49,0,25
504921600000000000,truck_32,West,Seth,F-150,v2.0,2000,200,15,4.07566,164.43909,297,0,277,0,25
504921600000000000,truck_33,West,Rodney,G-2000,v1.5,5000,300,19,89.19448,10.47499,407,0,169,0,25
504921600000000000,truck_34,West,Rodney,G-2000,v2.0,5000,300,19,73.7383,10.79582,488,0,170,0,25
504921600000000000,truck_35,West,Seth,G-2000,v2.3,5000,300,19,60.02428,2.51011,480,0,307,0,25
504921600000000000,truck_36,North,Andy,G-2000,v1.0,5000,300,19,87.52877,45.07308,161,0,128,0,25
504921600000000000,truck_38,West,Andy,H-2,v2.3,,150,12,63.54604,119.82031,282,0,325,0,25
504921600000000000,truck_39,East,Derek,G-2000,v1.5,5000,300,19,33.83548,3.90996,294,0,123,0,25
504921600000000000,truck_40,West,Albert,H-2,v2.0,1500,150,12,32.32773,118.43138,276,0,316,0,25
504921600000000000,truck_41,East,Rodney,F-150,v1.0,2000,200,15,68.85572,173.23123,478,0,207,0,25
504921600000000000,truck_42,West,Trish,F-150,v2.0,2000,200,15,38.45195,171.2884,113,0,180,0,25
504921600000000000,truck_43,East,Derek,H-2,v2.0,1500,150,12,52.90189,49.76966,295,0,195,0,25
504921600000000000,truck_44,South,Seth,H-2,v1.0,1500,150,12,32.33297,3.89306,396,0,320,0,25
504921600000000000,truck_30,East,Andy,G-2000,v1.5,5000,300,19,29.62198,83.73482,291,0,267,0,25
504921600000000000,truck_46,West,Seth,H-2,v2.3,1500,150,12,26.07966,118.49629,321,,267,0,25
504921600000000000,truck_37,South,Andy,G-2000,v2.0,5000,300,19,57.90077,77.20136,77,0,179,0,25
504921600000000000,truck_49,South,Andy,F-150,v2.0,2000,200,15,38.9349,179.94282,289,0,269,0,25
504921600000000000,truck_53,West,Seth,G-2000,v2.3,5000,300,19,25.02,157.45082,272,0,5,0,25
504921600000000000,truck_54,North,Andy,H-2,v2.0,1500,150,12,87.62736,106.0376,360,0,66,0,25
504921600000000000,truck_55,East,Albert,G-2000,v1.0,5000,300,19,78.56605,71.16225,295,0,150,0,25
504921600000000000,truck_56,North,Derek,F-150,v2.0,2000,200,15,23.51619,123.22682,71,0,209,0,25
504921600000000000,truck_57,South,Rodney,F-150,v2.3,2000,200,15,26.07996,159.92716,454,0,22,0,25
504921600000000000,truck_58,South,Derek,F-150,v2.0,2000,200,15,84.79333,79.23813,175,0,246,0,25
504921600000000000,truck_59,East,Andy,H-2,v2.0,1500,150,12,8.7621,82.48318,82,0,55,0,25
504921600000000000,truck_45,East,Trish,G-2000,v1.0,5000,300,19,17.48624,100.78121,306,0,193,0,25
504921600000000000,truck_47,South,Derek,G-2000,v1.5,5000,300,19,41.62173,110.80422,111,0,78,0,25
504921600000000000,truck_48,East,Trish,G-2000,v1.5,5000,300,19,63.90773,141.50555,53,0,,0,25
504921600000000000,truck_50,East,Andy,H-2,v2.3,1500,150,12,45.44111,172.39833,219,0,88,0,25
504921600000000000,truck_51,East,Rodney,F-150,v2.3,2000,200,15,89.03645,91.57675,457,0,337,0,25
504921600000000000,truck_52,West,Derek,G-2000,v1.0,5000,300,19,89.0133,97.8037,23,0,168,0,25
504921600000000000,truck_61,East,Albert,G-2000,v2.3,5000,300,19,75.91676,167.78366,462,0,60,0,25
504921600000000000,truck_62,East,Derek,H-2,v1.5,1500,150,12,54.61668,103.21398,231,0,143,0,25
504921600000000000,truck_63,South,Rodney,H-2,v2.0,1500,150,12,37.13702,149.25546,46,0,118,0,25
504921600000000000,truck_64,South,Albert,G-2000,v2.0,5000,300,19,45.04214,10.73002,447,0,253,0,25
504921600000000000,truck_60,South,Derek,H-2,v1.5,1500,150,12,57.99184,33.45994,310,0,93,0,25
504921600000000000,truck_67,South,Seth,H-2,v1.0,1500,150,12,4.62985,155.01707,308,0,22,0,25
504921600000000000,truck_68,West,Rodney,F-150,v1.5,2000,200,15,16.90741,123.03863,303,0,43,0,25
504921600000000000,truck_69,East,Derek,H-2,v2.3,1500,150,12,79.88424,120.79121,407,0,138,0,25
504921600000000000,truck_70,North,Albert,H-2,v2.0,1500,150,12,77.87592,164.70924,270,0,21,0,25
504921600000000000,truck_71,West,Seth,G-2000,v2.3,5000,300,19,72.75635,78.0365,391,0,32,0,25
504921600000000000,truck_73,North,Seth,F-150,v1.5,2000,200,15,37.67468,91.09732,489,0,103,0,25
504921600000000000,truck_74,North,Trish,H-2,v1.0,1500,150,12,41.4456,158.13897,206,0,79,0,25
504921600000000000,truck_75,South,Andy,F-150,v1.5,2000,200,15,4.11709,175.65994,378,0,176,0,25
504921600000000000,truck_66,South,Seth,G-2000,v2.0,5000,300,19,42.24286,151.8978,227,0,67,0,25
504921600000000000,truck_72,South,Andy,G-2000,v2.3,5000,300,19,82.46228,2.44504,487,0,39,0,25
504921600000000000,truck_76,South,Rodney,F-150,v2.3,2000,200,15,71.62798,121.89842,283,0,164,0,25
504921600000000000,truck_78,South,Seth,F-150,v2.0,2000,200,15,13.96218,39.04615,433,0,326,0,25
504921600000000000,truck_79,South,Andy,G-2000,v2.0,5000,300,19,56.54137,,46,0,127,0,25
504921600000000000,truck_81,West,Rodney,G-2000,v2.3,5000,300,19,59.42624,115.59744,68,0,296,0,25
504921600000000000,truck_83,South,Albert,F-150,v2.0,2000,200,15,49.20261,115.98262,449,0,132,0,25
504921600000000000,truck_84,West,Derek,H-2,v1.0,1500,150,12,70.16476,59.05399,301,0,134,0,25
504921600000000000,truck_85,West,Derek,G-2000,v1.0,5000,300,19,11.75251,142.86513,358,0,339,0,25
504921600000000000,truck_86,West,Rodney,G-2000,v1.0,5000,300,19,30.92821,127.53274,367,0,162,0,25
504921600000000000,truck_87,West,Rodney,H-2,v2.0,1500,150,12,32.86913,155.7666,122,0,337,0,25
504921600000000000,truck_88,West,Andy,G-2000,v1.5,5000,300,19,60.03367,9.5707,204,0,333,0,25
504921600000000000,truck_80,East,Andy,G-2000,v2.3,5000,300,,46.13937,137.42962,295,0,290,0,25
504921600000000000,truck_91,East,Derek,F-150,v2.0,2000,200,15,7.13401,52.78885,100,0,147,0,25
504921600000000000,truck_93,North,Derek,G-2000,v2.0,5000,300,19,11.46065,20.57173,242,0,148,0,25
504921600000000000,truck_94,North,Derek,F-150,v1.0,2000,200,15,59.53287,26.98247,427,0,341,0,25
504921600000000000,truck_95,East,Albert,G-2000,v2.0,5000,300,19,37.31513,134.40078,383,0,121,0,25
504921600000000000,truck_96,East,Albert,G-2000,v1.5,5000,300,19,15.78803,146.68255,348,0,189,0,25
504921600000000000,truck_97,South,Seth,F-150,v1.0,2000,200,15,14.08559,18.49763,369,0,34,0,25
504921600000000000,truck_98,South,Albert,G-2000,v1.5,5000,300,19,15.1474,71.85194,89,0,238,0,25
504921600000000000,truck_77,East,Trish,F-150,v2.0,2000,200,15,80.5734,17.68311,389,0,218,0,25
504921600000000000,truck_82,West,Derek,H-2,v2.0,1500,150,12,57.00976,90.13642,102,0,296,0,25
504921600000000000,truck_92,North,Derek,H-2,v1.0,1500,150,12,54.40335,153.5809,123,0,150,0,25
504921600000000000,truck_99,West,Trish,G-2000,v1.5,5000,300,19,62.73061,26.1884,309,0,202,0,25
504921610000000000,truck_1,South,Albert,F-150,v1.5,2000,200,15,72.45157,68.83919,259,0,180,2,27.5
504921610000000000,truck_2,North,Derek,F-150,v1.5,2000,200,15,24.5195,28.09369,434,6,302,0,22.1
504921610000000000,truck_3,East,Albert,F-150,v2.0,2000,200,15,18.107,98.66002,390,,190,0,21.2
504921610000000000,truck_4,West,Andy,G-2000,v1.5,5000,300,19,81.9438,56.12717,244,8,334,2,27.6
504921610000000000,truck_5,East,Seth,F-150,v2.0,2000,200,15,5.00695,114.50676,92,7,183,2,28.5
504921610000000000,truck_6,East,Trish,G-2000,v1.0,5000,300,19,41.59389,57.90166,403,0,149,0,22.7
504921610000000000,truck_7,East,Andy,H-2,v2.0,1500,150,12,7.74392,14.95756,,0,320,0,28.2
504921610000000000,truck_12,East,Trish,G-2000,v1.0,5000,300,19,36.03979,113.8752,34,0,293,1,26.3
504921610000000000,truck_13,West,Derek,H-2,v1.0,1500,150,12,14.07315,110.77235,150,0,72,,21.9
504921610000000000,truck_14,North,Albert,H-2,v1.0,1500,150,12,,105.76727,218,5,253,1,21.9
504921610000000000,truck_15,South,Albert,H-2,v1.5,1500,150,12,6.78254,166.86685,5,0,110,0,26.3
504921610000000000,truck_16,South,Albert,G-2000,v1.5,5000,300,19,51.16405,121.32556,445,0,294,3,29.9
504921610000000000,truck_17,West,Derek,H-2,v1.5,1500,150,12,8.12913,56.57343,9,0,6,4,29
504921610000000000,truck_18,West,Trish,F-150,v2.0,2000,200,15,67.15167,153.56094,260,1,239,1,23.3
504921610000000000,truck_19,West,Derek,G-2000,v1.5,5000,300,19,19.69456,139.49545,448,4,298,0,29.9
504921610000000000,truck_20,North,Rodney,G-2000,v2.0,5000,300,19,38.88968,65.86504,103,0,41,1,23.6
504921610000000000,truck_21,East,Derek,G-2000,v2.0,5000,300,19,81.88232,167.81287,345,0,326,0,20.8
504921610000000000,truck_0,South,Trish,H-2,v2.3,1500,150,12,52.32335,4.71786,128,9,225,0,25.8
504921610000000000,truck_22,West,Albert,G-2000,v1.5,5000,300,19,39.94345,16.02353,440,1,45,0,27.8
504921610000000000,truck_8,South,Seth,G-2000,v1.0,5000,300,19,21.89464,44.58628,402,0,234,0,20.3
504921610000000000,truck_23,South,Andy,F-150,v2.0,2000,200,15,73.28131,98.05635,201,7,277,0,25.3
504921610000000000,truck_24,West,Rodney,G-2000,v2.3,5000,300,19,22.19506,0.27702,217,0,321,2,29.5
504921610000000000,truck_9,South,Andy,H-2,v2.3,1500,150,12,,112.40429,402,9,75,4,29.5
504921610000000000,truck_26,South,Seth,F-150,v1.5,2000,200,15,45.65798,144.60844,59,1,183,0,21.7
504921610000000000,truck_27,West,Seth,G-2000,v1.5,5000,300,19,79.55699,97.86561,255,7,348,2,20.2
504921610000000000,truck_25,North,Trish,F-150,v2.0,2000,200,15,17.26506,16.91691,453,8,186,0,24.3
504921610000000000,truck_28,West,Rodney,G-2000,v1.5,5000,300,19,60.33272,4.61578,84,3,198,0,23.1
504921610000000000,truck_29,East,Rodney,G-2000,v2.0,5000,300,19,80.30331,146.54254,340,5,118,0,25.6
504921610000000000,truck_30,East,Andy,G-2000,v1.5,5000,300,19,29.62434,83.73246,300,0,270,4,22.3
504921610000000000,truck_33,West,Rodney,G-2000,v1.5,5000,300,19,89.19593,10.47733,403,8,170,0,29.6
504921610000000000,truck_36,North,Andy,G-2000,v1.0,5000,300,19,87.53087,45.07276,163,0,132,1,27.6

I expected row[][]byte to contain row-by-row csv data

Workaround

As already suggested, you really should use encoding/csv.

In other words, the cause of your problem lies in the godoc: above the bytes()

function
// bytes returns the most recent token generated by a call to scan.
// the underlying array may point to data that will be overwritten
// by a subsequent call to scan. it does no allocation.
func (s *scanner) bytes() []byte {
    return s.token
}

Therefore, subsequent calls to scan() may modify the returned byte slice. To avoid this you need to copy the byte slice like

for scanner.Scan() {
    row := scanner.Bytes()
    bs := make([]byte, len(row))
    copy(bs, row)
    b.Append(bs)
}

The above is the detailed content of Read csv into bytes. For more information, please follow other related articles on the PHP Chinese website!

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