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ba39ed9af7
minio/internal/s3select/csv/reader_contrib_test.go
Klaus Post ff12080ff5
Remove deprecated io/ioutil (#15707)
2022-09-19 11:05:16 -07:00

648 lines
38 KiB
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/*
* MinIO Object Storage (c) 2021 MinIO, Inc.
*
* Licensed 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
import (
"bytes"
"errors"
"fmt"
"io"
"os"
"reflect"
"strings"
"testing"
"github.com/klauspost/compress/zip"
"github.com/minio/minio/internal/s3select/sql"
)
func TestRead(t *testing.T) {
cases := []struct {
content string
recordDelimiter string
fieldDelimiter string
}{
{"1,2,3\na,b,c\n", "\n", ","},
{"1,2,3\ta,b,c\t", "\t", ","},
{"1,2,3\r\na,b,c\r\n", "\r\n", ","},
}
for i, c := range cases {
var err error
var record sql.Record
var result bytes.Buffer
r, _ := NewReader(io.NopCloser(strings.NewReader(c.content)), &ReaderArgs{
FileHeaderInfo: none,
RecordDelimiter: c.recordDelimiter,
FieldDelimiter: c.fieldDelimiter,
QuoteCharacter: defaultQuoteCharacter,
QuoteEscapeCharacter: defaultQuoteEscapeCharacter,
CommentCharacter: defaultCommentCharacter,
AllowQuotedRecordDelimiter: false,
unmarshaled: true,
})
for {
record, err = r.Read(record)
if err != nil {
break
}
opts := sql.WriteCSVOpts{
FieldDelimiter: []rune(c.fieldDelimiter)[0],
Quote: '"',
QuoteEscape: '"',
AlwaysQuote: false,
}
record.WriteCSV(&result, opts)
result.Truncate(result.Len() - 1)
result.WriteString(c.recordDelimiter)
}
r.Close()
if err != io.EOF {
t.Fatalf("Case %d failed with %s", i, err)
}
if result.String() != c.content {
t.Errorf("Case %d failed: expected %v result %v", i, c.content, result.String())
}
}
}
type tester interface {
Fatal(...interface{})
}
func openTestFile(t tester, file string) []byte {
f, err := os.ReadFile("testdata/testdata.zip")
if err != nil {
t.Fatal(err)
}
z, err := zip.NewReader(bytes.NewReader(f), int64(len(f)))
if err != nil {
t.Fatal(err)
}
for _, f := range z.File {
if f.Name == file {
rc, err := f.Open()
if err != nil {
t.Fatal(err)
}
defer rc.Close()
b, err := io.ReadAll(rc)
if err != nil {
t.Fatal(err)
}
return b
}
}
t.Fatal(file, "not found in testdata/testdata.zip")
return nil
}
func TestReadExtended(t *testing.T) {
cases := []struct {
file string
recordDelimiter string
fieldDelimiter string
header bool
wantColumns []string
wantTenFields string
totalFields int
}{
{
file: "nyc-taxi-data-100k.csv",
recordDelimiter: "\n",
fieldDelimiter: ",",
header: true,
wantColumns: []string{"trip_id", "vendor_id", "pickup_datetime", "dropoff_datetime", "store_and_fwd_flag", "rate_code_id", "pickup_longitude", "pickup_latitude", "dropoff_longitude", "dropoff_latitude", "passenger_count", "trip_distance", "fare_amount", "extra", "mta_tax", "tip_amount", "tolls_amount", "ehail_fee", "improvement_surcharge", "total_amount", "payment_type", "trip_type", "pickup", "dropoff", "cab_type", "precipitation", "snow_depth", "snowfall", "max_temp", "min_temp", "wind", "pickup_nyct2010_gid", "pickup_ctlabel", "pickup_borocode", "pickup_boroname", "pickup_ct2010", "pickup_boroct2010", "pickup_cdeligibil", "pickup_ntacode", "pickup_ntaname", "pickup_puma", "dropoff_nyct2010_gid", "dropoff_ctlabel", "dropoff_borocode", "dropoff_boroname", "dropoff_ct2010", "dropoff_boroct2010", "dropoff_cdeligibil", "dropoff_ntacode", "dropoff_ntaname", "dropoff_puma"},
wantTenFields: `3389224,2,2014-03-26 00:26:15,2014-03-26 00:28:38,N,1,-73.950431823730469,40.792251586914063,-73.938949584960937,40.794425964355469,1,0.84,4.5,0.5,0.5,1,0,,,6.5,1,1,75,74,green,0.00,0.0,0.0,36,24,11.86,1267,168,1,Manhattan,016800,1016800,E,MN33,East Harlem South,3804,1828,180,1,Manhattan,018000,1018000,E,MN34,East Harlem North,3804
3389225,2,2014-03-31 09:42:15,2014-03-31 10:01:17,N,1,-73.950340270996094,40.792228698730469,-73.941970825195313,40.842235565185547,1,4.47,17.5,0,0.5,0,0,,,18,2,1,75,244,green,0.16,0.0,0.0,56,36,8.28,1267,168,1,Manhattan,016800,1016800,E,MN33,East Harlem South,3804,911,251,1,Manhattan,025100,1025100,E,MN36,Washington Heights South,3801
3389226,2,2014-03-26 17:13:28,2014-03-26 17:19:07,N,1,-73.949493408203125,40.793506622314453,-73.943374633789063,40.786155700683594,1,0.82,5.5,1,0.5,0,0,,,7,1,1,75,75,green,0.00,0.0,0.0,36,24,11.86,1267,168,1,Manhattan,016800,1016800,E,MN33,East Harlem South,3804,1387,164,1,Manhattan,016400,1016400,E,MN33,East Harlem South,3804
3389227,2,2014-03-14 21:07:19,2014-03-14 21:11:41,N,1,-73.950538635253906,40.792228698730469,-73.940811157226563,40.809253692626953,1,1.40,6,0.5,0.5,0,0,,,7,2,1,75,42,green,0.00,0.0,0.0,46,22,5.59,1267,168,1,Manhattan,016800,1016800,E,MN33,East Harlem South,3804,1184,208,1,Manhattan,020800,1020800,E,MN03,Central Harlem North-Polo Grounds,3803
3389228,1,2014-03-28 13:52:56,2014-03-28 14:29:01,N,1,-73.950569152832031,40.792312622070313,-73.868507385253906,40.688491821289063,2,16.10,46,0,0.5,0,5.33,,,51.83,2,,75,63,green,0.04,0.0,0.0,62,37,5.37,1267,168,1,Manhattan,016800,1016800,E,MN33,East Harlem South,3804,1544,1182.02,3,Brooklyn,118202,3118202,E,BK83,Cypress Hills-City Line,4008
3389229,2,2014-03-07 09:46:32,2014-03-07 09:55:01,N,1,-73.952301025390625,40.789798736572266,-73.935806274414062,40.794448852539063,1,1.67,8,0,0.5,2,0,,,10.5,1,1,75,74,green,0.00,3.9,0.0,37,26,7.83,1267,168,1,Manhattan,016800,1016800,E,MN33,East Harlem South,3804,1553,178,1,Manhattan,017800,1017800,E,MN34,East Harlem North,3804
3389230,2,2014-03-17 18:23:05,2014-03-17 18:28:38,N,1,-73.952346801757813,40.789844512939453,-73.946319580078125,40.783851623535156,5,0.95,5.5,1,0.5,0.65,0,,,7.65,1,1,75,263,green,0.00,0.0,0.0,35,23,8.05,1267,168,1,Manhattan,016800,1016800,E,MN33,East Harlem South,3804,32,156.01,1,Manhattan,015601,1015601,I,MN32,Yorkville,3805
3389231,1,2014-03-19 19:09:36,2014-03-19 19:12:20,N,1,-73.952377319335938,40.789779663085938,-73.947494506835938,40.796474456787109,1,0.50,4,1,0.5,1,0,,,6.5,1,,75,75,green,0.92,0.0,0.0,46,32,7.16,1267,168,1,Manhattan,016800,1016800,E,MN33,East Harlem South,3804,1401,174.02,1,Manhattan,017402,1017402,E,MN33,East Harlem South,3804
3389232,2,2014-03-20 19:06:28,2014-03-20 19:21:35,N,1,-73.952583312988281,40.789516448974609,-73.985870361328125,40.776973724365234,2,3.04,13,1,0.5,2.8,0,,,17.3,1,1,75,143,green,0.00,0.0,0.0,54,40,8.05,1267,168,1,Manhattan,016800,1016800,E,MN33,East Harlem South,3804,1742,155,1,Manhattan,015500,1015500,I,MN14,Lincoln Square,3806
3389233,2,2014-03-29 09:38:12,2014-03-29 09:44:16,N,1,-73.952728271484375,40.789501190185547,-73.950935363769531,40.775600433349609,1,1.10,6.5,0,0.5,1.3,0,,,8.3,1,1,75,263,green,1.81,0.0,0.0,59,43,10.74,1267,168,1,Manhattan,016800,1016800,E,MN33,East Harlem South,3804,2048,138,1,Manhattan,013800,1013800,I,MN32,Yorkville,3805
`,
totalFields: 308*2 + 1,
}, {
file: "nyc-taxi-data-tabs-100k.csv",
recordDelimiter: "\n",
fieldDelimiter: "\t",
header: true,
wantColumns: []string{"trip_id", "vendor_id", "pickup_datetime", "dropoff_datetime", "store_and_fwd_flag", "rate_code_id", "pickup_longitude", "pickup_latitude", "dropoff_longitude", "dropoff_latitude", "passenger_count", "trip_distance", "fare_amount", "extra", "mta_tax", "tip_amount", "tolls_amount", "ehail_fee", "improvement_surcharge", "total_amount", "payment_type", "trip_type", "pickup", "dropoff", "cab_type", "precipitation", "snow_depth", "snowfall", "max_temp", "min_temp", "wind", "pickup_nyct2010_gid", "pickup_ctlabel", "pickup_borocode", "pickup_boroname", "pickup_ct2010", "pickup_boroct2010", "pickup_cdeligibil", "pickup_ntacode", "pickup_ntaname", "pickup_puma", "dropoff_nyct2010_gid", "dropoff_ctlabel", "dropoff_borocode", "dropoff_boroname", "dropoff_ct2010", "dropoff_boroct2010", "dropoff_cdeligibil", "dropoff_ntacode", "dropoff_ntaname", "dropoff_puma"},
wantTenFields: `3389224,2,2014-03-26 00:26:15,2014-03-26 00:28:38,N,1,-73.950431823730469,40.792251586914063,-73.938949584960937,40.794425964355469,1,0.84,4.5,0.5,0.5,1,0,,,6.5,1,1,75,74,green,0.00,0.0,0.0,36,24,11.86,1267,168,1,Manhattan,016800,1016800,E,MN33,East Harlem South,3804,1828,180,1,Manhattan,018000,1018000,E,MN34,East Harlem North,3804
3389225,2,2014-03-31 09:42:15,2014-03-31 10:01:17,N,1,-73.950340270996094,40.792228698730469,-73.941970825195313,40.842235565185547,1,4.47,17.5,0,0.5,0,0,,,18,2,1,75,244,green,0.16,0.0,0.0,56,36,8.28,1267,168,1,Manhattan,016800,1016800,E,MN33,East Harlem South,3804,911,251,1,Manhattan,025100,1025100,E,MN36,Washington Heights South,3801
3389226,2,2014-03-26 17:13:28,2014-03-26 17:19:07,N,1,-73.949493408203125,40.793506622314453,-73.943374633789063,40.786155700683594,1,0.82,5.5,1,0.5,0,0,,,7,1,1,75,75,green,0.00,0.0,0.0,36,24,11.86,1267,168,1,Manhattan,016800,1016800,E,MN33,East Harlem South,3804,1387,164,1,Manhattan,016400,1016400,E,MN33,East Harlem South,3804
3389227,2,2014-03-14 21:07:19,2014-03-14 21:11:41,N,1,-73.950538635253906,40.792228698730469,-73.940811157226563,40.809253692626953,1,1.40,6,0.5,0.5,0,0,,,7,2,1,75,42,green,0.00,0.0,0.0,46,22,5.59,1267,168,1,Manhattan,016800,1016800,E,MN33,East Harlem South,3804,1184,208,1,Manhattan,020800,1020800,E,MN03,Central Harlem North-Polo Grounds,3803
3389228,1,2014-03-28 13:52:56,2014-03-28 14:29:01,N,1,-73.950569152832031,40.792312622070313,-73.868507385253906,40.688491821289063,2,16.10,46,0,0.5,0,5.33,,,51.83,2,,75,63,green,0.04,0.0,0.0,62,37,5.37,1267,168,1,Manhattan,016800,1016800,E,MN33,East Harlem South,3804,1544,1182.02,3,Brooklyn,118202,3118202,E,BK83,Cypress Hills-City Line,4008
3389229,2,2014-03-07 09:46:32,2014-03-07 09:55:01,N,1,-73.952301025390625,40.789798736572266,-73.935806274414062,40.794448852539063,1,1.67,8,0,0.5,2,0,,,10.5,1,1,75,74,green,0.00,3.9,0.0,37,26,7.83,1267,168,1,Manhattan,016800,1016800,E,MN33,East Harlem South,3804,1553,178,1,Manhattan,017800,1017800,E,MN34,East Harlem North,3804
3389230,2,2014-03-17 18:23:05,2014-03-17 18:28:38,N,1,-73.952346801757813,40.789844512939453,-73.946319580078125,40.783851623535156,5,0.95,5.5,1,0.5,0.65,0,,,7.65,1,1,75,263,green,0.00,0.0,0.0,35,23,8.05,1267,168,1,Manhattan,016800,1016800,E,MN33,East Harlem South,3804,32,156.01,1,Manhattan,015601,1015601,I,MN32,Yorkville,3805
3389231,1,2014-03-19 19:09:36,2014-03-19 19:12:20,N,1,-73.952377319335938,40.789779663085938,-73.947494506835938,40.796474456787109,1,0.50,4,1,0.5,1,0,,,6.5,1,,75,75,green,0.92,0.0,0.0,46,32,7.16,1267,168,1,Manhattan,016800,1016800,E,MN33,East Harlem South,3804,1401,174.02,1,Manhattan,017402,1017402,E,MN33,East Harlem South,3804
3389232,2,2014-03-20 19:06:28,2014-03-20 19:21:35,N,1,-73.952583312988281,40.789516448974609,-73.985870361328125,40.776973724365234,2,3.04,13,1,0.5,2.8,0,,,17.3,1,1,75,143,green,0.00,0.0,0.0,54,40,8.05,1267,168,1,Manhattan,016800,1016800,E,MN33,East Harlem South,3804,1742,155,1,Manhattan,015500,1015500,I,MN14,Lincoln Square,3806
3389233,2,2014-03-29 09:38:12,2014-03-29 09:44:16,N,1,-73.952728271484375,40.789501190185547,-73.950935363769531,40.775600433349609,1,1.10,6.5,0,0.5,1.3,0,,,8.3,1,1,75,263,green,1.81,0.0,0.0,59,43,10.74,1267,168,1,Manhattan,016800,1016800,E,MN33,East Harlem South,3804,2048,138,1,Manhattan,013800,1013800,I,MN32,Yorkville,3805
`,
totalFields: 308*2 + 1,
}, {
file: "nyc-taxi-data-100k-single-delim.csv",
recordDelimiter: "^",
fieldDelimiter: ",",
header: true,
wantColumns: []string{"trip_id", "vendor_id", "pickup_datetime", "dropoff_datetime", "store_and_fwd_flag", "rate_code_id", "pickup_longitude", "pickup_latitude", "dropoff_longitude", "dropoff_latitude", "passenger_count", "trip_distance", "fare_amount", "extra", "mta_tax", "tip_amount", "tolls_amount", "ehail_fee", "improvement_surcharge", "total_amount", "payment_type", "trip_type", "pickup", "dropoff", "cab_type", "precipitation", "snow_depth", "snowfall", "max_temp", "min_temp", "wind", "pickup_nyct2010_gid", "pickup_ctlabel", "pickup_borocode", "pickup_boroname", "pickup_ct2010", "pickup_boroct2010", "pickup_cdeligibil", "pickup_ntacode", "pickup_ntaname", "pickup_puma", "dropoff_nyct2010_gid", "dropoff_ctlabel", "dropoff_borocode", "dropoff_boroname", "dropoff_ct2010", "dropoff_boroct2010", "dropoff_cdeligibil", "dropoff_ntacode", "dropoff_ntaname", "dropoff_puma"},
wantTenFields: `3389224,2,2014-03-26 00:26:15,2014-03-26 00:28:38,N,1,-73.950431823730469,40.792251586914063,-73.938949584960937,40.794425964355469,1,0.84,4.5,0.5,0.5,1,0,,,6.5,1,1,75,74,green,0.00,0.0,0.0,36,24,11.86,1267,168,1,Manhattan,016800,1016800,E,MN33,East Harlem South,3804,1828,180,1,Manhattan,018000,1018000,E,MN34,East Harlem North,3804
3389225,2,2014-03-31 09:42:15,2014-03-31 10:01:17,N,1,-73.950340270996094,40.792228698730469,-73.941970825195313,40.842235565185547,1,4.47,17.5,0,0.5,0,0,,,18,2,1,75,244,green,0.16,0.0,0.0,56,36,8.28,1267,168,1,Manhattan,016800,1016800,E,MN33,East Harlem South,3804,911,251,1,Manhattan,025100,1025100,E,MN36,Washington Heights South,3801
3389226,2,2014-03-26 17:13:28,2014-03-26 17:19:07,N,1,-73.949493408203125,40.793506622314453,-73.943374633789063,40.786155700683594,1,0.82,5.5,1,0.5,0,0,,,7,1,1,75,75,green,0.00,0.0,0.0,36,24,11.86,1267,168,1,Manhattan,016800,1016800,E,MN33,East Harlem South,3804,1387,164,1,Manhattan,016400,1016400,E,MN33,East Harlem South,3804
3389227,2,2014-03-14 21:07:19,2014-03-14 21:11:41,N,1,-73.950538635253906,40.792228698730469,-73.940811157226563,40.809253692626953,1,1.40,6,0.5,0.5,0,0,,,7,2,1,75,42,green,0.00,0.0,0.0,46,22,5.59,1267,168,1,Manhattan,016800,1016800,E,MN33,East Harlem South,3804,1184,208,1,Manhattan,020800,1020800,E,MN03,Central Harlem North-Polo Grounds,3803
3389228,1,2014-03-28 13:52:56,2014-03-28 14:29:01,N,1,-73.950569152832031,40.792312622070313,-73.868507385253906,40.688491821289063,2,16.10,46,0,0.5,0,5.33,,,51.83,2,,75,63,green,0.04,0.0,0.0,62,37,5.37,1267,168,1,Manhattan,016800,1016800,E,MN33,East Harlem South,3804,1544,1182.02,3,Brooklyn,118202,3118202,E,BK83,Cypress Hills-City Line,4008
3389229,2,2014-03-07 09:46:32,2014-03-07 09:55:01,N,1,-73.952301025390625,40.789798736572266,-73.935806274414062,40.794448852539063,1,1.67,8,0,0.5,2,0,,,10.5,1,1,75,74,green,0.00,3.9,0.0,37,26,7.83,1267,168,1,Manhattan,016800,1016800,E,MN33,East Harlem South,3804,1553,178,1,Manhattan,017800,1017800,E,MN34,East Harlem North,3804
3389230,2,2014-03-17 18:23:05,2014-03-17 18:28:38,N,1,-73.952346801757813,40.789844512939453,-73.946319580078125,40.783851623535156,5,0.95,5.5,1,0.5,0.65,0,,,7.65,1,1,75,263,green,0.00,0.0,0.0,35,23,8.05,1267,168,1,Manhattan,016800,1016800,E,MN33,East Harlem South,3804,32,156.01,1,Manhattan,015601,1015601,I,MN32,Yorkville,3805
3389231,1,2014-03-19 19:09:36,2014-03-19 19:12:20,N,1,-73.952377319335938,40.789779663085938,-73.947494506835938,40.796474456787109,1,0.50,4,1,0.5,1,0,,,6.5,1,,75,75,green,0.92,0.0,0.0,46,32,7.16,1267,168,1,Manhattan,016800,1016800,E,MN33,East Harlem South,3804,1401,174.02,1,Manhattan,017402,1017402,E,MN33,East Harlem South,3804
3389232,2,2014-03-20 19:06:28,2014-03-20 19:21:35,N,1,-73.952583312988281,40.789516448974609,-73.985870361328125,40.776973724365234,2,3.04,13,1,0.5,2.8,0,,,17.3,1,1,75,143,green,0.00,0.0,0.0,54,40,8.05,1267,168,1,Manhattan,016800,1016800,E,MN33,East Harlem South,3804,1742,155,1,Manhattan,015500,1015500,I,MN14,Lincoln Square,3806
3389233,2,2014-03-29 09:38:12,2014-03-29 09:44:16,N,1,-73.952728271484375,40.789501190185547,-73.950935363769531,40.775600433349609,1,1.10,6.5,0,0.5,1.3,0,,,8.3,1,1,75,263,green,1.81,0.0,0.0,59,43,10.74,1267,168,1,Manhattan,016800,1016800,E,MN33,East Harlem South,3804,2048,138,1,Manhattan,013800,1013800,I,MN32,Yorkville,3805
`,
totalFields: 308*2 + 1,
}, {
file: "nyc-taxi-data-100k-multi-delim.csv",
recordDelimiter: "^Y",
fieldDelimiter: ",",
header: true,
wantColumns: []string{"trip_id", "vendor_id", "pickup_datetime", "dropoff_datetime", "store_and_fwd_flag", "rate_code_id", "pickup_longitude", "pickup_latitude", "dropoff_longitude", "dropoff_latitude", "passenger_count", "trip_distance", "fare_amount", "extra", "mta_tax", "tip_amount", "tolls_amount", "ehail_fee", "improvement_surcharge", "total_amount", "payment_type", "trip_type", "pickup", "dropoff", "cab_type", "precipitation", "snow_depth", "snowfall", "max_temp", "min_temp", "wind", "pickup_nyct2010_gid", "pickup_ctlabel", "pickup_borocode", "pickup_boroname", "pickup_ct2010", "pickup_boroct2010", "pickup_cdeligibil", "pickup_ntacode", "pickup_ntaname", "pickup_puma", "dropoff_nyct2010_gid", "dropoff_ctlabel", "dropoff_borocode", "dropoff_boroname", "dropoff_ct2010", "dropoff_boroct2010", "dropoff_cdeligibil", "dropoff_ntacode", "dropoff_ntaname", "dropoff_puma"},
wantTenFields: `3389224,2,2014-03-26 00:26:15,2014-03-26 00:28:38,N,1,-73.950431823730469,40.792251586914063,-73.938949584960937,40.794425964355469,1,0.84,4.5,0.5,0.5,1,0,,,6.5,1,1,75,74,green,0.00,0.0,0.0,36,24,11.86,1267,168,1,Manhattan,016800,1016800,E,MN33,East Harlem South,3804,1828,180,1,Manhattan,018000,1018000,E,MN34,East Harlem North,3804
3389225,2,2014-03-31 09:42:15,2014-03-31 10:01:17,N,1,-73.950340270996094,40.792228698730469,-73.941970825195313,40.842235565185547,1,4.47,17.5,0,0.5,0,0,,,18,2,1,75,244,green,0.16,0.0,0.0,56,36,8.28,1267,168,1,Manhattan,016800,1016800,E,MN33,East Harlem South,3804,911,251,1,Manhattan,025100,1025100,E,MN36,Washington Heights South,3801
3389226,2,2014-03-26 17:13:28,2014-03-26 17:19:07,N,1,-73.949493408203125,40.793506622314453,-73.943374633789063,40.786155700683594,1,0.82,5.5,1,0.5,0,0,,,7,1,1,75,75,green,0.00,0.0,0.0,36,24,11.86,1267,168,1,Manhattan,016800,1016800,E,MN33,East Harlem South,3804,1387,164,1,Manhattan,016400,1016400,E,MN33,East Harlem South,3804
3389227,2,2014-03-14 21:07:19,2014-03-14 21:11:41,N,1,-73.950538635253906,40.792228698730469,-73.940811157226563,40.809253692626953,1,1.40,6,0.5,0.5,0,0,,,7,2,1,75,42,green,0.00,0.0,0.0,46,22,5.59,1267,168,1,Manhattan,016800,1016800,E,MN33,East Harlem South,3804,1184,208,1,Manhattan,020800,1020800,E,MN03,Central Harlem North-Polo Grounds,3803
3389228,1,2014-03-28 13:52:56,2014-03-28 14:29:01,N,1,-73.950569152832031,40.792312622070313,-73.868507385253906,40.688491821289063,2,16.10,46,0,0.5,0,5.33,,,51.83,2,,75,63,green,0.04,0.0,0.0,62,37,5.37,1267,168,1,Manhattan,016800,1016800,E,MN33,East Harlem South,3804,1544,1182.02,3,Brooklyn,118202,3118202,E,BK83,Cypress Hills-City Line,4008
3389229,2,2014-03-07 09:46:32,2014-03-07 09:55:01,N,1,-73.952301025390625,40.789798736572266,-73.935806274414062,40.794448852539063,1,1.67,8,0,0.5,2,0,,,10.5,1,1,75,74,green,0.00,3.9,0.0,37,26,7.83,1267,168,1,Manhattan,016800,1016800,E,MN33,East Harlem South,3804,1553,178,1,Manhattan,017800,1017800,E,MN34,East Harlem North,3804
3389230,2,2014-03-17 18:23:05,2014-03-17 18:28:38,N,1,-73.952346801757813,40.789844512939453,-73.946319580078125,40.783851623535156,5,0.95,5.5,1,0.5,0.65,0,,,7.65,1,1,75,263,green,0.00,0.0,0.0,35,23,8.05,1267,168,1,Manhattan,016800,1016800,E,MN33,East Harlem South,3804,32,156.01,1,Manhattan,015601,1015601,I,MN32,Yorkville,3805
3389231,1,2014-03-19 19:09:36,2014-03-19 19:12:20,N,1,-73.952377319335938,40.789779663085938,-73.947494506835938,40.796474456787109,1,0.50,4,1,0.5,1,0,,,6.5,1,,75,75,green,0.92,0.0,0.0,46,32,7.16,1267,168,1,Manhattan,016800,1016800,E,MN33,East Harlem South,3804,1401,174.02,1,Manhattan,017402,1017402,E,MN33,East Harlem South,3804
3389232,2,2014-03-20 19:06:28,2014-03-20 19:21:35,N,1,-73.952583312988281,40.789516448974609,-73.985870361328125,40.776973724365234,2,3.04,13,1,0.5,2.8,0,,,17.3,1,1,75,143,green,0.00,0.0,0.0,54,40,8.05,1267,168,1,Manhattan,016800,1016800,E,MN33,East Harlem South,3804,1742,155,1,Manhattan,015500,1015500,I,MN14,Lincoln Square,3806
3389233,2,2014-03-29 09:38:12,2014-03-29 09:44:16,N,1,-73.952728271484375,40.789501190185547,-73.950935363769531,40.775600433349609,1,1.10,6.5,0,0.5,1.3,0,,,8.3,1,1,75,263,green,1.81,0.0,0.0,59,43,10.74,1267,168,1,Manhattan,016800,1016800,E,MN33,East Harlem South,3804,2048,138,1,Manhattan,013800,1013800,I,MN32,Yorkville,3805
`,
totalFields: 308*2 + 1,
}, {
file: "nyc-taxi-data-noheader-100k.csv",
recordDelimiter: "\n",
fieldDelimiter: ",",
header: false,
wantColumns: []string{"_1", "_2", "_3", "_4", "_5", "_6", "_7", "_8", "_9", "_10", "_11", "_12", "_13", "_14", "_15", "_16", "_17", "_18", "_19", "_20", "_21", "_22", "_23", "_24", "_25", "_26", "_27", "_28", "_29", "_30", "_31", "_32", "_33", "_34", "_35", "_36", "_37", "_38", "_39", "_40", "_41", "_42", "_43", "_44", "_45", "_46", "_47", "_48", "_49", "_50", "_51"},
wantTenFields: `3389224,2,2014-03-26 00:26:15,2014-03-26 00:28:38,N,1,-73.950431823730469,40.792251586914063,-73.938949584960937,40.794425964355469,1,0.84,4.5,0.5,0.5,1,0,,,6.5,1,1,75,74,green,0.00,0.0,0.0,36,24,11.86,1267,168,1,Manhattan,016800,1016800,E,MN33,East Harlem South,3804,1828,180,1,Manhattan,018000,1018000,E,MN34,East Harlem North,3804
3389225,2,2014-03-31 09:42:15,2014-03-31 10:01:17,N,1,-73.950340270996094,40.792228698730469,-73.941970825195313,40.842235565185547,1,4.47,17.5,0,0.5,0,0,,,18,2,1,75,244,green,0.16,0.0,0.0,56,36,8.28,1267,168,1,Manhattan,016800,1016800,E,MN33,East Harlem South,3804,911,251,1,Manhattan,025100,1025100,E,MN36,Washington Heights South,3801
3389226,2,2014-03-26 17:13:28,2014-03-26 17:19:07,N,1,-73.949493408203125,40.793506622314453,-73.943374633789063,40.786155700683594,1,0.82,5.5,1,0.5,0,0,,,7,1,1,75,75,green,0.00,0.0,0.0,36,24,11.86,1267,168,1,Manhattan,016800,1016800,E,MN33,East Harlem South,3804,1387,164,1,Manhattan,016400,1016400,E,MN33,East Harlem South,3804
3389227,2,2014-03-14 21:07:19,2014-03-14 21:11:41,N,1,-73.950538635253906,40.792228698730469,-73.940811157226563,40.809253692626953,1,1.40,6,0.5,0.5,0,0,,,7,2,1,75,42,green,0.00,0.0,0.0,46,22,5.59,1267,168,1,Manhattan,016800,1016800,E,MN33,East Harlem South,3804,1184,208,1,Manhattan,020800,1020800,E,MN03,Central Harlem North-Polo Grounds,3803
3389228,1,2014-03-28 13:52:56,2014-03-28 14:29:01,N,1,-73.950569152832031,40.792312622070313,-73.868507385253906,40.688491821289063,2,16.10,46,0,0.5,0,5.33,,,51.83,2,,75,63,green,0.04,0.0,0.0,62,37,5.37,1267,168,1,Manhattan,016800,1016800,E,MN33,East Harlem South,3804,1544,1182.02,3,Brooklyn,118202,3118202,E,BK83,Cypress Hills-City Line,4008
3389229,2,2014-03-07 09:46:32,2014-03-07 09:55:01,N,1,-73.952301025390625,40.789798736572266,-73.935806274414062,40.794448852539063,1,1.67,8,0,0.5,2,0,,,10.5,1,1,75,74,green,0.00,3.9,0.0,37,26,7.83,1267,168,1,Manhattan,016800,1016800,E,MN33,East Harlem South,3804,1553,178,1,Manhattan,017800,1017800,E,MN34,East Harlem North,3804
3389230,2,2014-03-17 18:23:05,2014-03-17 18:28:38,N,1,-73.952346801757813,40.789844512939453,-73.946319580078125,40.783851623535156,5,0.95,5.5,1,0.5,0.65,0,,,7.65,1,1,75,263,green,0.00,0.0,0.0,35,23,8.05,1267,168,1,Manhattan,016800,1016800,E,MN33,East Harlem South,3804,32,156.01,1,Manhattan,015601,1015601,I,MN32,Yorkville,3805
3389231,1,2014-03-19 19:09:36,2014-03-19 19:12:20,N,1,-73.952377319335938,40.789779663085938,-73.947494506835938,40.796474456787109,1,0.50,4,1,0.5,1,0,,,6.5,1,,75,75,green,0.92,0.0,0.0,46,32,7.16,1267,168,1,Manhattan,016800,1016800,E,MN33,East Harlem South,3804,1401,174.02,1,Manhattan,017402,1017402,E,MN33,East Harlem South,3804
3389232,2,2014-03-20 19:06:28,2014-03-20 19:21:35,N,1,-73.952583312988281,40.789516448974609,-73.985870361328125,40.776973724365234,2,3.04,13,1,0.5,2.8,0,,,17.3,1,1,75,143,green,0.00,0.0,0.0,54,40,8.05,1267,168,1,Manhattan,016800,1016800,E,MN33,East Harlem South,3804,1742,155,1,Manhattan,015500,1015500,I,MN14,Lincoln Square,3806
3389233,2,2014-03-29 09:38:12,2014-03-29 09:44:16,N,1,-73.952728271484375,40.789501190185547,-73.950935363769531,40.775600433349609,1,1.10,6.5,0,0.5,1.3,0,,,8.3,1,1,75,263,green,1.81,0.0,0.0,59,43,10.74,1267,168,1,Manhattan,016800,1016800,E,MN33,East Harlem South,3804,2048,138,1,Manhattan,013800,1013800,I,MN32,Yorkville,3805
`,
totalFields: 308 * 2,
},
}
for i, c := range cases {
t.Run(c.file, func(t *testing.T) {
var err error
var record sql.Record
var result bytes.Buffer
input := openTestFile(t, c.file)
// Get above block size.
input = append(input, input...)
args := ReaderArgs{
FileHeaderInfo: use,
RecordDelimiter: c.recordDelimiter,
FieldDelimiter: c.fieldDelimiter,
QuoteCharacter: defaultQuoteCharacter,
QuoteEscapeCharacter: defaultQuoteEscapeCharacter,
CommentCharacter: defaultCommentCharacter,
AllowQuotedRecordDelimiter: false,
unmarshaled: true,
}
if !c.header {
args.FileHeaderInfo = none
}
r, _ := NewReader(io.NopCloser(bytes.NewReader(input)), &args)
fields := 0
for {
record, err = r.Read(record)
if err != nil {
break
}
if fields < 10 {
opts := sql.WriteCSVOpts{
FieldDelimiter: ',',
Quote: '"',
QuoteEscape: '"',
AlwaysQuote: false,
}
// Write with fixed delimiters, newlines.
err := record.WriteCSV(&result, opts)
if err != nil {
t.Error(err)
}
}
fields++
}
r.Close()
if err != io.EOF {
t.Fatalf("Case %d failed with %s", i, err)
}
if !reflect.DeepEqual(r.columnNames, c.wantColumns) {
t.Errorf("Case %d failed: expected %#v, got result %#v", i, c.wantColumns, r.columnNames)
}
if result.String() != c.wantTenFields {
t.Errorf("Case %d failed: expected %v, got result %v", i, c.wantTenFields, result.String())
}
if fields != c.totalFields {
t.Errorf("Case %d failed: expected %v results %v", i, c.totalFields, fields)
}
})
}
}
type errReader struct {
err error
}
func (e errReader) Read(p []byte) (n int, err error) {
return 0, e.err
}
func TestReadFailures(t *testing.T) {
customErr := errors.New("unable to read file :(")
cases := []struct {
file string
recordDelimiter string
fieldDelimiter string
sendErr error
header bool
wantColumns []string
wantFields string
wantErr error
}{
{
file: "truncated-records.csv",
recordDelimiter: "^Y",
fieldDelimiter: ",",
header: true,
wantColumns: []string{"trip_id", "vendor_id", "pickup_datetime", "dropoff_datetime", "store_and_fwd_flag", "rate_code_id", "pickup_longitude", "pickup_latitude", "dropoff_longitude", "dropoff_latitude", "passenger_count", "trip_distance", "fare_amount", "extra", "mta_tax", "tip_amount", "tolls_amount", "ehail_fee", "improvement_surcharge", "total_amount", "payment_type", "trip_type", "pickup", "dropoff", "cab_type", "precipitation", "snow_depth", "snowfall", "max_temp", "min_temp", "wind", "pickup_nyct2010_gid", "pickup_ctlabel", "pickup_borocode", "pickup_boroname", "pickup_ct2010", "pickup_boroct2010", "pickup_cdeligibil", "pickup_ntacode", "pickup_ntaname", "pickup_puma", "dropoff_nyct2010_gid", "dropoff_ctlabel", "dropoff_borocode", "dropoff_boroname", "dropoff_ct2010", "dropoff_boroct2010", "dropoff_cdeligibil", "dropoff_ntacode", "dropoff_ntaname", "dropoff_puma"},
wantFields: `3389224,2,2014-03-26 00:26:15,2014-03-26 00:28:38,N,1,-73.950431823730469,40.792251586914063,-73.938949584960937,40.794425964355469,1,0.84,4.5,0.5,0.5,1,0,,,6.5,1,1,75,74,green,0.00,0.0,0.0,36,24,11.86,1267,168,1,Manhattan,016800,1016800,E,MN33,East Harlem South,3804,1828,180,1,Manhattan,018000,1018000,E,MN34,East Harlem North,3804
3389225,2,2014-03-31 09:42:15,2014-03-31 10:01:17,N,1,-73.950340270996094,40.792228698730469,-73.941970825195313,40.842235565185547,1,4.47,17.5,0,0.5,0,0,,,18,2,1,75,244,green,0.16,0.0,0.0,56,36,8.28,1267,168,1,Manhattan,016800,1016800,E,MN33,East Harlem South,3804,911,251,1,Manhattan,025100
`,
wantErr: io.EOF,
},
{
file: "truncated-records.csv",
recordDelimiter: "^Y",
fieldDelimiter: ",",
sendErr: customErr,
header: true,
wantColumns: []string{"trip_id", "vendor_id", "pickup_datetime", "dropoff_datetime", "store_and_fwd_flag", "rate_code_id", "pickup_longitude", "pickup_latitude", "dropoff_longitude", "dropoff_latitude", "passenger_count", "trip_distance", "fare_amount", "extra", "mta_tax", "tip_amount", "tolls_amount", "ehail_fee", "improvement_surcharge", "total_amount", "payment_type", "trip_type", "pickup", "dropoff", "cab_type", "precipitation", "snow_depth", "snowfall", "max_temp", "min_temp", "wind", "pickup_nyct2010_gid", "pickup_ctlabel", "pickup_borocode", "pickup_boroname", "pickup_ct2010", "pickup_boroct2010", "pickup_cdeligibil", "pickup_ntacode", "pickup_ntaname", "pickup_puma", "dropoff_nyct2010_gid", "dropoff_ctlabel", "dropoff_borocode", "dropoff_boroname", "dropoff_ct2010", "dropoff_boroct2010", "dropoff_cdeligibil", "dropoff_ntacode", "dropoff_ntaname", "dropoff_puma"},
wantFields: `3389224,2,2014-03-26 00:26:15,2014-03-26 00:28:38,N,1,-73.950431823730469,40.792251586914063,-73.938949584960937,40.794425964355469,1,0.84,4.5,0.5,0.5,1,0,,,6.5,1,1,75,74,green,0.00,0.0,0.0,36,24,11.86,1267,168,1,Manhattan,016800,1016800,E,MN33,East Harlem South,3804,1828,180,1,Manhattan,018000,1018000,E,MN34,East Harlem North,3804
3389225,2,2014-03-31 09:42:15,2014-03-31 10:01:17,N,1,-73.950340270996094,40.792228698730469,-73.941970825195313,40.842235565185547,1,4.47,17.5,0,0.5,0,0,,,18,2,1,75,244,green,0.16,0.0,0.0,56,36,8.28,1267,168,1,Manhattan,016800,1016800,E,MN33,East Harlem South,3804,911,251,1,Manhattan,025100
`,
wantErr: customErr,
},
{
// This works since LazyQuotes is true:
file: "invalid-badbarequote.csv",
recordDelimiter: "\n",
fieldDelimiter: ",",
sendErr: nil,
header: true,
wantColumns: []string{"header1", "header2", "header3"},
wantFields: "ok1,ok2,ok3\n" + `"a ""word""",b` + "\n",
wantErr: io.EOF,
},
{
// This works since LazyQuotes is true:
file: "invalid-baddoubleq.csv",
recordDelimiter: "\n",
fieldDelimiter: ",",
sendErr: nil,
header: true,
wantColumns: []string{"header1", "header2", "header3"},
wantFields: "ok1,ok2,ok3\n" + `"a""""b",c` + "\n",
wantErr: io.EOF,
},
{
// This works since LazyQuotes is true:
file: "invalid-badextraq.csv",
recordDelimiter: "\n",
fieldDelimiter: ",",
sendErr: nil,
header: true,
wantColumns: []string{"header1", "header2", "header3"},
wantFields: "ok1,ok2,ok3\n" + `a word,"b"""` + "\n",
wantErr: io.EOF,
},
{
// This works since LazyQuotes is true:
file: "invalid-badstartline.csv",
recordDelimiter: "\n",
fieldDelimiter: ",",
sendErr: nil,
header: true,
wantColumns: []string{"header1", "header2", "header3"},
wantFields: "ok1,ok2,ok3\n" + `a,"b` + "\n" + `c""d,e` + "\n\"\n",
wantErr: io.EOF,
},
{
// This works since LazyQuotes is true:
file: "invalid-badstartline2.csv",
recordDelimiter: "\n",
fieldDelimiter: ",",
sendErr: nil,
header: true,
wantColumns: []string{"header1", "header2", "header3"},
wantFields: "ok1,ok2,ok3\n" + `a,b` + "\n" + `"d` + "\n\ne\"\n",
wantErr: io.EOF,
},
{
// This works since LazyQuotes is true:
file: "invalid-badtrailingq.csv",
recordDelimiter: "\n",
fieldDelimiter: ",",
sendErr: nil,
header: true,
wantColumns: []string{"header1", "header2", "header3"},
wantFields: "ok1,ok2,ok3\n" + `a word,"b"""` + "\n",
wantErr: io.EOF,
},
{
// This works since LazyQuotes is true:
file: "invalid-crlfquoted.csv",
recordDelimiter: "\n",
fieldDelimiter: ",",
sendErr: nil,
header: true,
wantColumns: []string{"header1", "header2", "header3"},
wantFields: "ok1,ok2,ok3\n" + `"foo""bar"` + "\n",
wantErr: io.EOF,
},
{
// This works since LazyQuotes is true:
file: "invalid-csv.csv",
recordDelimiter: "\n",
fieldDelimiter: ",",
sendErr: nil,
header: true,
wantColumns: []string{"header1", "header2", "header3"},
wantFields: "ok1,ok2,ok3\n" + `"a""""b",c` + "\n",
wantErr: io.EOF,
},
{
// This works since LazyQuotes is true, but output is very weird.
file: "invalid-oddquote.csv",
recordDelimiter: "\n",
fieldDelimiter: ",",
sendErr: nil,
header: true,
wantColumns: []string{"header1", "header2", "header3"},
wantFields: "ok1,ok2,ok3\n" + `""""""",b,c` + "\n\"\n",
wantErr: io.EOF,
},
{
// Test when file ends with a half separator
file: "endswithhalfsep.csv",
recordDelimiter: "%!",
fieldDelimiter: ",",
sendErr: nil,
header: false,
wantColumns: []string{"_1", "_2", "_3"},
wantFields: "a,b,c\na2,b2,c2%\n",
wantErr: io.EOF,
},
}
for i, c := range cases {
t.Run(c.file, func(t *testing.T) {
var err error
var record sql.Record
var result bytes.Buffer
input := openTestFile(t, c.file)
args := ReaderArgs{
FileHeaderInfo: use,
RecordDelimiter: c.recordDelimiter,
FieldDelimiter: c.fieldDelimiter,
QuoteCharacter: defaultQuoteCharacter,
QuoteEscapeCharacter: defaultQuoteEscapeCharacter,
CommentCharacter: defaultCommentCharacter,
AllowQuotedRecordDelimiter: false,
unmarshaled: true,
}
if !c.header {
args.FileHeaderInfo = none
}
inr := io.Reader(bytes.NewReader(input))
if c.sendErr != nil {
inr = io.MultiReader(inr, errReader{c.sendErr})
}
r, _ := NewReader(io.NopCloser(inr), &args)
fields := 0
for {
record, err = r.Read(record)
if err != nil {
break
}
opts := sql.WriteCSVOpts{
FieldDelimiter: ',',
Quote: '"',
QuoteEscape: '"',
AlwaysQuote: false,
}
// Write with fixed delimiters, newlines.
err := record.WriteCSV(&result, opts)
if err != nil {
t.Error(err)
}
fields++
}
r.Close()
if err != c.wantErr {
t.Fatalf("Case %d failed with %s", i, err)
}
if !reflect.DeepEqual(r.columnNames, c.wantColumns) {
t.Errorf("Case %d failed: expected \n%#v, got result \n%#v", i, c.wantColumns, r.columnNames)
}
if result.String() != c.wantFields {
t.Errorf("Case %d failed: expected \n%v\nGot result \n%v", i, c.wantFields, result.String())
}
})
}
}
func BenchmarkReaderBasic(b *testing.B) {
args := ReaderArgs{
FileHeaderInfo: use,
RecordDelimiter: "\n",
FieldDelimiter: ",",
QuoteCharacter: defaultQuoteCharacter,
QuoteEscapeCharacter: defaultQuoteEscapeCharacter,
CommentCharacter: defaultCommentCharacter,
AllowQuotedRecordDelimiter: false,
unmarshaled: true,
}
f := openTestFile(b, "nyc-taxi-data-100k.csv")
r, err := NewReader(io.NopCloser(bytes.NewBuffer(f)), &args)
if err != nil {
b.Fatalf("Reading init failed with %s", err)
}
defer r.Close()
b.ReportAllocs()
b.ResetTimer()
b.SetBytes(int64(len(f)))
var record sql.Record
for i := 0; i < b.N; i++ {
r, err = NewReader(io.NopCloser(bytes.NewBuffer(f)), &args)
if err != nil {
b.Fatalf("Reading init failed with %s", err)
}
for err == nil {
record, err = r.Read(record)
if err != nil && err != io.EOF {
b.Fatalf("Reading failed with %s", err)
}
}
r.Close()
}
}
func BenchmarkReaderHuge(b *testing.B) {
args := ReaderArgs{
FileHeaderInfo: use,
RecordDelimiter: "\n",
FieldDelimiter: ",",
QuoteCharacter: defaultQuoteCharacter,
QuoteEscapeCharacter: defaultQuoteEscapeCharacter,
CommentCharacter: defaultCommentCharacter,
AllowQuotedRecordDelimiter: false,
unmarshaled: true,
}
for n := 0; n < 11; n++ {
f := openTestFile(b, "nyc-taxi-data-100k.csv")
want := 309
for i := 0; i < n; i++ {
f = append(f, f...)
want *= 2
}
b.Run(fmt.Sprint(len(f)/(1<<10), "K"), func(b *testing.B) {
b.ReportAllocs()
b.SetBytes(int64(len(f)))
b.ResetTimer()
var record sql.Record
for i := 0; i < b.N; i++ {
r, err := NewReader(io.NopCloser(bytes.NewBuffer(f)), &args)
if err != nil {
b.Fatalf("Reading init failed with %s", err)
}
got := 0
for err == nil {
record, err = r.Read(record)
if err != nil && err != io.EOF {
b.Fatalf("Reading failed with %s", err)
}
got++
}
r.Close()
if got != want {
b.Errorf("want %d records, got %d", want, got)
}
}
})
}
}
func BenchmarkReaderReplace(b *testing.B) {
args := ReaderArgs{
FileHeaderInfo: use,
RecordDelimiter: "^",
FieldDelimiter: ",",
QuoteCharacter: defaultQuoteCharacter,
QuoteEscapeCharacter: defaultQuoteEscapeCharacter,
CommentCharacter: defaultCommentCharacter,
AllowQuotedRecordDelimiter: false,
unmarshaled: true,
}
f := openTestFile(b, "nyc-taxi-data-100k-single-delim.csv")
r, err := NewReader(io.NopCloser(bytes.NewBuffer(f)), &args)
if err != nil {
b.Fatalf("Reading init failed with %s", err)
}
defer r.Close()
b.ReportAllocs()
b.ResetTimer()
b.SetBytes(int64(len(f)))
var record sql.Record
for i := 0; i < b.N; i++ {
r, err = NewReader(io.NopCloser(bytes.NewBuffer(f)), &args)
if err != nil {
b.Fatalf("Reading init failed with %s", err)
}
for err == nil {
record, err = r.Read(record)
if err != nil && err != io.EOF {
b.Fatalf("Reading failed with %s", err)
}
}
r.Close()
}
}
func BenchmarkReaderReplaceTwo(b *testing.B) {
args := ReaderArgs{
FileHeaderInfo: use,
RecordDelimiter: "^Y",
FieldDelimiter: ",",
QuoteCharacter: defaultQuoteCharacter,
QuoteEscapeCharacter: defaultQuoteEscapeCharacter,
CommentCharacter: defaultCommentCharacter,
AllowQuotedRecordDelimiter: false,
unmarshaled: true,
}
f := openTestFile(b, "nyc-taxi-data-100k-multi-delim.csv")
r, err := NewReader(io.NopCloser(bytes.NewBuffer(f)), &args)
if err != nil {
b.Fatalf("Reading init failed with %s", err)
}
defer r.Close()
b.ReportAllocs()
b.ResetTimer()
b.SetBytes(int64(len(f)))
var record sql.Record
for i := 0; i < b.N; i++ {
r, err = NewReader(io.NopCloser(bytes.NewBuffer(f)), &args)
if err != nil {
b.Fatalf("Reading init failed with %s", err)
}
for err == nil {
record, err = r.Read(record)
if err != nil && err != io.EOF {
b.Fatalf("Reading failed with %s", err)
}
}
r.Close()
}
}
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