Given a CSV file with the following:
id,description,val
111,"abc",0
112,"abc"def",0
How do I insert this data into an SQL Server table using SSIS?
I've currently specified my column delimiter as , and the text qualifier "
You can follow below step by step walk-though. The settings you have done are right for flat file connection manager.
Import CSV File into Database Table Using SSIS
Related
I am exporting F&O D365 data to ADLS in CSV format. Now, I am trying to read the CSV stored in ADLS and copy into Azure Synapse dedicated SQL pool table using Azure data factory. However, I can create the pipeline and it's working for few tables without any issue. But it's failing for one table (salesline) because of mismatch in number of column.
Below is the CSV format sample, there is no column name(header) in CSV because it's exported from F&O system and column name stored in salesline.CDM.json file.
5653064010,,,"2022-06-03T20:07:38.7122447Z",5653064010,"B775-92"
5653064011,,,"2022-06-03T20:07:38.7122447Z",5653064011,"Small Parcel"
5653064012,,,"2022-06-03T20:07:38.7122447Z",5653064012,"somedata"
5653064013,,,"2022-06-03T20:07:38.7122447Z",5653064013,"someotherdata",,,,test1, test2
5653064014,,,"2022-06-03T20:07:38.7122447Z",5653064014,"parcel"
5653064016,,,"2022-06-03T20:07:38.7122447Z",5653064016,"B775-92",,,,,,test3
I have created ADF pipeline using copy data activity to copy the data from ADLS(CSV) to Synapse SQL table however I am getting below error.
Operation on target Copy_hs1 failed: ErrorCode=DelimitedTextMoreColumnsThanDefined,'Type=Microsoft.DataTransfer.Common.Shared.HybridDeliveryException,Message=Error found when processing 'Csv/Tsv Format Text' source 'SALESLINE_00001.csv' with row number 4: found more columns than expected column count 6.,Source=Microsoft.DataTransfer.Common,'
Column mapping looks like below- Because CSV first row has 6 column so it's appearing 6 only while importing schema.
I have repro’d with your sample data and got the same error while copying the file using the copy data activity.
Alternatively, I have tried to copy the file using data flow and was able to load the data without any errors.
Source file:
Data flow:
Source dataset: only the first 6 columns are read as the first row contains only 6 columns in the file.
Source transformation: connect source dataset in source transformation.
Source preview:
Sink transformation: Connect sink to synapse dataset.
Settings:
Mappings:
Sink output:
After running the data flow, data is loaded to the sink synapse table.
Change my csv to xlsx help me to solve this problem in Copy Activity ADF.
1.From Copy data settings set "Fault Tolerance" = "Skip Incompatible rows"
skip incompatible rows
2.From Dataset connection settings set Escape character to Double quotes
Escape character
i wrote sql server table data to .csv file by using SSIS package. In flat file conncetion i've mentioned semi-colon as delimiter. Some of the values in my table are having commas(for example : CODE A,B,C) in .csv file CODE A is coming into 1st column and B is in 2nd vice-versa. now how can i keep all these values in a first column of .csv file with delimiter as ;
Probably you are opening your flat file in Excel, and opening it as a comma-separated file.
You need to specify to Excel when you open it that your file is delimited by semi-colons. Then it will display correctly.
I am trying to import data from excel csv to MS Access. A column in csv has majority of values like "F0000123". Few Values are "E0000123". While importing this using transfertext to Text column in Access, F0000123 has changed to 123 and E0000123 has been imported as blank with datatype conversion failure. If importing to new blank (no columns defined) table F0000123 importing as $123 and again E0000123 has been imported as blank with datatype conversion failure. Please help why value starting with F have this issue.
Link the csv file as a table. Then create a query to read and convert (purify) the data.
Use this query as source for further processing of the date like appending data to other tables.
I'm trying to migrating some MySQL tables to Amazon Redshift, but met some problems.
The steps are simple:
1. Dump the MySQL table to a csv file
2. Upload the csv file to S3
3. Copy the data file to RedShift
Error occurs in step 3:
The SQL command is:
copy TABLE_A from 's3://ciphor/TABLE_A.csv' CREDENTIALS
'aws_access_key_id=xxxx;aws_secret_access_key=xxxx' delimiter ',' csv;
The error info:
An error occurred when executing the SQL command: copy TABLE_A from
's3://ciphor/TABLE_A.csv' CREDENTIALS
'aws_access_key_id=xxxx;aws_secret_access_key=xxxx ERROR: COPY CSV is
not supported [SQL State=0A000] Execution time: 0.53s 1 statement(s)
failed.
I don't know if there's any limitations on the format of the csv file, say the delimiters and quotes, I cannot find it in documents.
Any one can help?
The problem is finally resolved by using:
copy TABLE_A from 's3://ciphor/TABLE_A.csv' CREDENTIALS
'aws_access_key_id=xxxx;aws_secret_access_key=xxxx' delimiter ','
removequotes;
More information can be found here http://docs.aws.amazon.com/redshift/latest/dg/r_COPY.html
Now Amazon Redshift supports CSV option for COPY command. It's better to use this option to import CSV formatted data correctly. The format is shown bellow.
COPY [table-name] FROM 's3://[bucket-name]/[file-path or prefix]'
CREDENTIALS 'aws_access_key_id=xxxx;aws_secret_access_key=xxxx' CSV;
The default delimiter is ( , ) and the default quotes is ( " ). Also you can import TSV formatted data with CSV and DELIMITER option like this.
COPY [table-name] FROM 's3://[bucket-name]/[file-path or prefix]'
CREDENTIALS 'aws_access_key_id=xxxx;aws_secret_access_key=xxxx' CSV DELIMITER '\t';
There are some disadvantages to use the old way(DELIMITER and REMOVEQUOTES) that REMOVEQUOTES does not support to have a new line or a delimiter character within an enclosed filed. If the data can include this kind of characters, you should use CSV option.
See the following link for the details.
http://docs.aws.amazon.com/redshift/latest/dg/r_COPY.html
If you want to save your self some code/ you have a very basic use case you can use Amazon Data Pipeline.
it stats a spot instance and perform the transformation within amazon network and it's really intuitive tool (but very simple so you can't do complex things with it)
You can try with this
copy TABLE_A from 's3://ciphor/TABLE_A.csv' CREDENTIALS 'aws_access_key_id=xxxx;aws_secret_access_key=xxxx' csv;
CSV itself means comma separated values, no need to provide delimiter with this. Please refer link.
[http://docs.aws.amazon.com/redshift/latest/dg/copy-parameters-data-format.html#copy-format]
I always this code:
COPY clinical_survey
FROM 's3://milad-test/clinical_survey.csv'
iam_role 'arn:aws:iam::123456789123:role/miladS3xxx'
CSV
IGNOREHEADER 1
;
Description:
1- COPY the name of your file store in S3
2- FROM address of file
3- iam_role is a substitution for CREDENTIAL. Note that, iam_role should be defined in iam management menu at your console, and then in trust menu should be assigned to the user as well (That is the hardest part!)
4- CSV uses comma delimiter
5- IGNORHEADER 1 is a must! Otherwise it will throw an error. (skip one row of my CSV and consider it as a header)
Since the resolution has already been provided, I'll not repeat the obvious.
However, in case you receive some more error which you're not able to figure out, simply execute on your workbench while you're connected to any of the Redshift accounts:
select * from stl_load_errors [where ...];
stl_load_errors contains all the Amazon RS load errors in historical fashion where a normal user can view details corresponding to his / her own account but a superuser can have all the access.
The details are captured elaborately at :
Amazon STL Load Errors Documentation
Little late to comment but it can be useful:-
You can use an open source project to copy tables directly from mysql to redshift - sqlshift.
It only requires spark and if you have yarn then it can also be used.
Benefits:- It will automatically decides distkey and interleaved sortkey using primary key.
It looks like you are trying to load local file into REDSHIFT table.
CSV file has to be on S3 for COPY command to work.
If you can extract data from table to CSV file you have one more scripting option. You can use Python/boto/psycopg2 combo to script your CSV load to Amazon Redshift.
In my MySQL_To_Redshift_Loader I do the following:
Extract data from MySQL into temp file.
loadConf=[ db_client_dbshell ,'-u', opt.mysql_user,'-p%s' % opt.mysql_pwd,'-D',opt.mysql_db_name, '-h', opt.mysql_db_server]
...
q="""
%s %s
INTO OUTFILE '%s'
FIELDS TERMINATED BY '%s'
ENCLOSED BY '%s'
LINES TERMINATED BY '\r\n';
""" % (in_qry, limit, out_file, opt.mysql_col_delim,opt.mysql_quote)
p1 = Popen(['echo', q], stdout=PIPE,stderr=PIPE,env=env)
p2 = Popen(loadConf, stdin=p1.stdout, stdout=PIPE,stderr=PIPE)
...
Compress and load data to S3 using boto Python module and multipart upload.
conn = boto.connect_s3(AWS_ACCESS_KEY_ID,AWS_SECRET_ACCESS_KEY)
bucket = conn.get_bucket(bucket_name)
k = Key(bucket)
k.key = s3_key_name
k.set_contents_from_file(file_handle, cb=progress, num_cb=20,
reduced_redundancy=use_rr )
Use psycopg2 COPY command to append data to Redshift table.
sql="""
copy %s from '%s'
CREDENTIALS 'aws_access_key_id=%s;aws_secret_access_key=%s'
DELIMITER '%s'
FORMAT CSV %s
%s
%s
%s;""" % (opt.to_table, fn, AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY,opt.delim,quote,gzip, timeformat, ignoreheader)
I am using SSIS to export data to xls.
I created a xls destination in a data flow with the following "CREATE TABLE excel-destination (A LongText B Long)"
In the connection manager when I set the "FirstRowHasColumnName" setting to False I get and error that Column A can not be found in the data source.
I don't want the Header columns in xls. Is there a way to remove them? or how should I create the xls destination not to show the column headers?
Thanks in advance.
If you export to a flat-file destination this will export without columns in the first line. Set the delimiter to ',' and the extension to '.xls'.