I use the logstash-input-jdbc plugin to sync my data from mysql to elasiticsearch. However, when I looked at the data in elasticsearch, I found that the format of the fields of all date types changed from "yyyy-MM-dd" to "yyyy-MM-dd'T'HH:mm:ss.SSSZ".I have nearly 200 fields whose type is date, so I want to know how to configure logstash so that it can output the format "yyyy-MM-dd" instead of "yyyy-MM-dd'T'HH:mm:ss.SSSZ".
Elasticsearch stores dates as UTC timestamps:
Internally, dates are converted to UTC (if the time-zone is specified) and stored as a long number representing milliseconds-since-the-epoch.
Queries on dates are internally converted to range queries on this long representation, and the result of aggregations and stored fields is converted back to a string depending on the date format that is associated with the field.
So if you want to retain the yyyy-MM-dd format, you'll have to store it as a keyword (which you then won't be able to do range queries on).
You can change Kibana's display to only show the yyyy-MM-dd format, but note that it will convert the date to the timezone of the viewer which may result in a different day than you entered in the input field.
If you want to ingest the date as a string, you'll need to create a mapping for the index in question to prevent default date processing.
Related
I have a timestamp in ISO-8601 format and want to specify it either as a timestamp or datetime format when creating a table in Athena. Any clues on how to do this ?
Thanks!
When you create table in Athena you can set a column as date or timestamp only in the Unix format as follows:
DATE, in the UNIX format, such as YYYY-MM-DD.
TIMESTAMP. Instant in time and date in the UNiX format, such as
yyyy-mm-dd hh:mm:ss[.f...]. For example, TIMESTAMP '2008-09-15
03:04:05.324'. This format uses the session time zone.
If the format is different, define it as a String and when you query the data use the date function:
from_iso8601_date(string) → date
You can convert the data to make it easier and cheaper for specific use cases by using CTAS (create table as select) query that will generate a new copy of the data in a simpler and more efficient (compressed and columnar) parquet format.
I am working on an elastic search. I need to change the data type from string to date format.
The field name and its value is the date and 2020-02-01 08:17:22.438000. Now it is I string data type. I need to change into the date-time format in the elastic search itself.
I have a JSON-based source I'd like to transform using ADF Mapping Data Flow. I have a string containing an epoch timestamp value that I want to transform to Datetime value to later sink it into Parquet file.
Do you know a way? Docs of this language are here.
Source file:
{
"timestamp":"1574127407",
"name":"D.A."
}
Use toTimestamp() and set the formatting you wish as 2nd parameter
toTimestamp(1574127407*1000l)
From string:
toTimestamp(toInteger(toString(byName('timestamp')))*1000l,'yyyy-MM-dd HH:mm:ss')
I have came across various epoch timestamp values which are of 13 digits i.e., they even have milliseconds detailed information.
In such case, converting to integer using 'toInteger' won't serve the purpose instead this will keep the values as NULL. So, to fix this issue, we need to convert it to Long using toLong as below:
toTimestamp(toLong(toString(created)),'yyyy-MM-dd HH:mm:ss')
In above expression, 'created' is a field whose value is 13-digit epoch timestamp, something like this created='1635359043307'.
Here, toTimestamp returns the Date Timestamp with above-mentioned date format.
FYI, you can use this site https://www.epochconverter.com/ to check epoch timestamp to human date.
I want to create a table with date and timezone in different columns.
For example:
Date 20170311 Time 10:32:24+1300
The format has to be the same as above.
When I create the table Date was set as type date and time was type timestamp.
When I insert the date, I have to follow a certain format like 2017-03-11, how can I make it the same as the table shown.
When inserting the time and time zone, I have to insert the date alone with it, like '2017-03-22T10:37:50+1300' is there any way that I can reformat it?
After inserting with this format '2017-03-22T10:37:50+1300', the time and time zone changed in the table, how could I keep it the same as input?
CREATE TABLE example (id int, work_date date, sequence timestamp);
INSERT INTO example (id int, work_date date, sequence timestamp) VALUES (1, '2017-03-22', '2017-03-22T10:37:50+1300')
expected result:
1 20170322 10:37:50+1300
actual result:
1 2017-03-22 2017-03-21 21:37:50.000000+0000
Cassandra has several data types related to date & time - date, time, and timestamp, and only the last one has the notion of the time zone.
The formatting of the timestamps is your responsibility - internally data is stored as long (8 bytes) representing number of milliseconds since epoch, and then converted into textual representation by corresponding driver - in case of cqlsh, the formatting is controlled by datetimeformat parameter. Similarly, for date & time data types - they are kept as numbers inside database, not as strings.
If you're accessing the data from your own program, then you can format time as you want.
I have an excel with a date field but the first row in the excel is blank and few other rows are having a date format as MM/dd/yyyy HH:mm:ss.
The data to be loaded into a Postgresql table with the field of data type timestamp yyyy-mm-dd HH:mm:ss.
The excel cannot be modified as it is being downloaded from the cloud and the data is loaded straight away into the table.
I tried using tConvert type but it cannot accept null or " " values in timestamp. I am facing a Null tMap error during runtime in talend. Even if I try to convert from string to date format in order to pass null in tmap, it is changing the date format and showing error.How can this be handled ?
The talend structure is : tFileInputExcel - > TMAP(date field : MM/dd/yyyy HH:mm:ss) -> tConvertType(date field : yyyy-mm-dd HH:mm:ss) ->TMAP(yyyy-mm-dd HH:mm:ss) -> Postgresql Table
Here is the Excel screenshot:
At first, I do not quite understand why do you want to use tConvertType component. After defining a proper schema Talend is changing your data into Java Date object and from that moment format is not important and you don't have to convert it when you want to put it into Postgres table. At least it should not cause NullPointerException.
Consider following steps:
Sample input file
I've prepared some file with date value/space/empty string, solution I'm describing works also with nulls.
Configure tFileInputExcel component
You have to allow taking null values in by checking the Nullable check box. You should also check trim option.
Examine output
After connecting input component to tLogRow null/empty/space values are handled properly.
I hope this will be helpful.
You can capture date format or null handling in variable within tMAP component
that is
var :TalendDate.formatDate("yyyy-mm-dd HH:mm:ss",row1.columnname)
so data flow would be
tFileInputExcel --->tMAP --->Postgresql Table