How to import column value in Cassandra like one h

Question

Query:

CREATE TABLE IF NOT EXISTS "TEMP_tmp".temp (
"Date_Time" timestamp,
PRIMARY KEY ("Date_Time")
);

CSV Contains "13/01/09 23:13" values.

Error : Failed to import 1 rows: ParseError - Failed to parse 13/01/09 23:13 : invalid literal for long() with base 10: '13/01/09 23:13',  given up without retries.

What Data Type should I Use ?

Answer 1

Default Cqlsh timestamp format is : year-month-day hour:min:sec+timezone
Example :

2017-02-01 05:28:36+0000

You either change your date format to above or you can change the format from cqlshrc file
Check this answer custom cassandra / cqlsh time_format

Answer 2

cassandra will store timestamp as 2017-02-01 08:28:21+0000. For example, if I store a timestamp in your described table "TEMP_tmp".temp:

cassandra@cqlsh> INSERT INTO  TEMP_tmp.temp ("Date_Time") VALUES ( toTimestamp(now()));
cassandra@cqlsh> SELECT * FROM TEMP_tmp.temp;

Date_Time
--------------------------
2017-02-01 09:14:29+0000

If we copy all the data to csv:

cassandra@cqlsh> COPY Temp_tmp.temp TO 'temp.csv';

temp.csv will contain:

2017-02-01 09:14:29+0000

If we truncate the table:

cassandra@cqlsh> TRUNCATE TABLE TEMP_tmp.temp;
cassandra@cqlsh> SELECT * FROM TEMP_tmp.temp;

Date_Time
--------------------------

Then if we import temp.csv:

cassandra@cqlsh> COPY Temp_tmp.temp FROM 'temp.csv';
Using 1 child processes

Starting copy of Temp_tmp.temp with columns [Date_Time].
Processed: 1 rows; Rate:       1 rows/s; Avg. rate:       1 rows/s
1 rows imported from 1 files in 0.746 seconds (0 skipped).

If you want custom date/time format, then follow Ashraful Islam's answer from your question.