I now decided to modify the csv file and had just 1 table for Period 1 Week 1...
Then I am getting the index in Elasticsearch but the output is like this:
{
"took": 6,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"skipped": 0,
"failed": 0
},
"hits": {
"total": 1,
"max_score": 1,
"hits": [
{
"_index": "orders",
"_type": "doc",
"_id": "A99V-GYBU_DxK6332S9g",
"_score": 1,
"_source": {
"1:00 PM": null,
"@timestamp": "2018-11-09T11:57:44.875Z",
"12:00 PM": null,
"1:00 AM": null,
"11:00 PM": null,
"5:00 PM": null,
"10:00 PM": null,
"message": """
,,,,,,,,,,,,,,,,,,,,,,,,
Period 1 - Week 1,,,,,,,,,,,,,,,,,,,,,,,,
Orders,12:00 AM,1:00 AM,2:00 AM,3:00 AM,4:00 AM,5:00 AM,6:00 AM,7:00 AM,8:00 AM,9:00 AM,10:00 AM,11:00 AM,12:00 PM,1:00 PM,2:00 PM,3:00 PM,4:00 PM,5:00 PM,6:00 PM,7:00 PM,8:00 PM,9:00 PM,10:00 PM,11:00 PM
Sunday,134,49,67,54,63,174,365,734,1000,2763,1249,1766,3982,1422,1041,2082,3890,2009,600,321,427,431,673,294
Monday,139,51,52,51,34,178,185,483,743,623,1442,1359,3391,3395,3552,3056,1790,2650,655,930,915,419,958,629
Tuesday,122,35,61,47,63,189,184,545,1307,1033,2025,1940,2300,3414,2561,3193,3532,3693,834,679,862,609,289,329
Wednesday,101,40,62,60,32,129,300,861,354,797,3945,3247,1015,2805,1463,3958,2756,2580,968,258,485,991,519,479
Thursday,121,59,45,33,35,75,112,714,1919,1555,2559,3131,2359,2558,3085,3549,1051,2102,581,243,307,349,353,400
Friday,115,46,38,34,38,160,140,570,1441,2672,1011,1455,1985,2015,1288,2374,3114,2488,676,952,928,467,792,662
Saturday,99,45,44,50,57,167,119,281,484,2030,1166,2898,1029,3737,3549,1585,1456,2926,706,524,341,279,415,277
""",
"4:00 PM": null,
"tags": [
"multiline",
"_grokparsefailure",
"_split_type_failure"
],
"Orders": null,
"2:00 AM": null,
"8:00 PM": null,
"6:00 PM": null,
"9:00 AM": null,
"6:00 AM": null,
"8:00 AM": null,
"4:00 AM": null,
"7:00 AM": null,
"12:00 AM": null,
"host": "01HW387966",
"3:00 PM": null,
"10:00 AM": null,
"@version": "1",
"path": "D:/KALYANI/ELK/orderdashboard.csv",
"2:00 PM": null,
"7:00 PM": null,
"9:00 PM": null,
"11:00 AM": null,
"5:00 AM": null,
"3:00 AM": null
}
}
]
}
}