我有txt文件，它是一个especific软件的输出，该文件始终具有相同的格式，请参见下面的内容。数据从第31行开始，在此示例中，我仅插入了TXT文件的行，因此无法更改此格式，因为它是一个软件的输出。我需要将此文件导入到SQL Server中的表中。我该怎么办？
RECORDED_YEAR Col: 1 - 4 Decs: 0 Mult: 1.000000
RECORDED_DAY Col: 5 - 8 Decs: 0 Mult: 1.000000
RECORDED_HOUR Col: 9 - 10 Decs: 0 Mult: 1.000000
RECORDED_MINUTE Col: 11 - 12 Decs: 0 Mult: 1.000000
RECORDED_SECOND Col: 13 - 14 Decs: 0 Mult: 1.000000
SHOTLINE_NUMBER Col: 18 - 21 Decs: 0 Mult: 1.000000
SHOT_POINT_NO Col: 22 - 25 Decs: 0 Mult: 1.000000
RECEIVERLINE_NUMBER Col: 26 - 29 Decs: 0 Mult: 1.000000
FIELD_STATION_NUMBER Col: 30 - 33 Decs: 0 Mult: 1.000000
XREC Col: 35 - 45 Decs: 2 Mult: 1.000000
YREC Col: 46 - 56 Decs: 2 Mult: 1.000000
ELEV_REC Col: 57 - 62 Decs: 2 Mult: 1.000000
XSHOT Col: 63 - 73 Decs: 2 Mult: 1.000000
YSHOT Col: 74 - 84 Decs: 2 Mult: 1.000000
ELEV_SHOT Col: 85 - 90 Decs: 2 Mult: 1.000000
TRCHDR3_TILTERROR Col: 91 - 92 Decs: 0 Mult: 1.000000
TRCHDR3_RESISTERROR Col: 93 - 94 Decs: 0 Mult: 1.000000
TRCHDR5_LEAKAGEERROR Col: 95 - 96 Decs: 0 Mult: 1.000000
FIELD_RECORD_NO Col: 97 - 102 Decs: 0 Mult: 1.000000
EXTHDR_SWATHID Col: 103 - 106 Decs: 0 Mult: 1.000000
DATA_RMSAMPLITUDE Col: 109 - 119 Decs: 8 Mult: 10000.000000
VWUSER_1 Col: 121 - 125 Decs: 0 Mult: 1.000000
CHANNEL_NO Col: 127 - 137 Decs: 0 Mult: 1.000000
VWUSER_7 Col: 140 - 142 Decs: 0 Mult: 1.000000
VWUSER_8 Col: 144 - 146 Decs: 1 Mult: 1.000000
DATA_MAXFREQ Col: 148 - 154 Decs: 3 Mult: 1.000000
DATA_MAXABSAMPLITUDE Col: 156 - 166 Decs: 4 Mult: 10000.000000
VWUSER_22 Col: 168 - 175 Decs: 3 Mult: 1.000000
VWUSER_11 Col: 177 - 181 Decs: 0 Mult: 1.000000
VWUSER_12 Col: 183 - 187 Decs: 0 Mult: 1.000000
18 327113458 5090115210965074 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 12 1 57.74633959 1 1 0 1.0 13.645 3703.4148 0.008 1 1
18 327113458 5090115210965075 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 12 1 35.32746807 1 2 0 1.0 18.519 3493.8994 0.008 1 1
18 327113458 5090115210965076 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 12 1 86.58912033 1 3 0 1.0 22.904 4077.5797 0.008 1 1
18 327113458 5090115210965077 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 12 1 53.32520232 1 4 0 1.0 23.392 5024.1262 0.008 1 1
18 327113458 5090115210965078 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 12 1 87.56771684 1 5 0 1.0 22.417 6922.9585 0.008 1 1
答案 0 :(得分：0)
它看起来像定长数据。您可以尝试以下批量插入，然后使用Substring（）将结果解析到表中
CREATE TABLE #tempTable
(
RowVal VarChar(Max)
)
BULK INSERT #tempTable
FROM 'c:\Downloads\Fixedtxt.txt'
WITH
(
FIRSTROW = 31,
FIELDTERMINATOR = ',',
ROWTERMINATOR = '\n'
)
SELECT * FROM #tempTable
这里是从似乎是表示您的数据的文本文件的结构化部分进行的解析。
CREATE TABLE #tempTable
(
RowVal VarChar(Max)
)
BULK INSERT #tempTable
FROM 'c:\Downloads\Fixedtxt.txt'
WITH
(
FIRSTROW = 31,
ROWTERMINATOR = '\n'
)
SELECT
SubString(RowVal,1,5) As f01,
SubString(RowVal,6,9) As f02,
SubString(RowVal,18,16) As f03,
SubString(RowVal,35,8) As f04,
SubString(RowVal,44,10) As f05,
SubString(RowVal,55,6) As f06,
SubString(RowVal,62,9) As f07,
SubString(RowVal,72,10) As f08,
SubString(RowVal,83,6) As f09,
SubString(RowVal,90,3) As f10,
SubString(RowVal,94,1) As f11,
SubString(RowVal,96,1) As f12,
SubString(RowVal,98,5) As f13,
SubString(RowVal,104,3) As f14,
SubString(RowVal,108,12) As f15,
SubString(RowVal,121,5) As f16,
SubString(RowVal,127,11) As f17,
SubString(RowVal,139,4) As f18,
SubString(RowVal,144,3) As f19,
SubString(RowVal,148,6) As f20,
SubString(RowVal,155,10) As f21,
SubString(RowVal,166,7) As f22,
SubString(RowVal,174,8) As f23,
SubString(RowVal,183,5) As f24
FROM
#tempTable
结果：
f01 f02 f03 f04 f05 f06 f07 f08 f09 f10 f11 f12 f13 f14 f15 f16 f17 f18 f19 f20 f21 f22 f23 f24
18 327113458 5090115210965074 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 12 1 57.74633959 1 1 0 1.0 13.645 3703.4148 0.008 1 1
18 327113458 5090115210965075 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 12 1 35.32746807 1 2 0 1.0 18.519 3493.8994 0.008 1 1
18 327113458 5090115210965076 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 12 1 86.58912033 1 3 0 1.0 22.904 4077.5797 0.008 1 1
18 327113458 5090115210965077 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 12 1 53.32520232 1 4 0 1.0 23.392 5024.1262 0.008 1 1
18 327113458 5090115210965078 0.00 0.00 0.00 0.00 0.00 0.00 0 0 0 12 1 87.56771684 1 5 0 1.0 22.417 6922.9585 0.008 1 1