Snowkflake documentation for COPY INTO command states (for COPY options)
ON_ERROR = CONTINUE | SKIP_FILE | SKIP_FILE_num | SKIP_FILE_num% | ABORT_STATEMENT
Continue loading the file. The COPY statement returns an error message
for a maximum of one error encountered per data file. Note that the
difference between the ROWS_PARSED and ROWS_LOADED column values
represents the number of rows that include detected errors. However,
each of these rows could include multiple errors. To view all errors
in the data files, use the VALIDATION_MODE parameter or query the
VALIDATE function.
But for me, it just doesn't seem to obey, as I see the default value i.e SKIP_FILE is getting applied as files are getting skipped on any error in the file.
create or replace file format jsonThing type = 'json' DATE_FORMAT='yyyy-mm-dd'
TIMESTAMP_FORMAT='YYYY-MM-DD"T"HH24:MI:SSZ' TRIM_SPACE=TRUE NULL_IF=('\\N', 'NULL','');
create or replace stage snowflake_json_stage
storage_integration = snowflake_json_storage_integration
url = 'azure://snowflakejson.blob.core.windows.net/cdrs'
file_format = jsonThing
COPY_OPTIONS = (ON_ERROR=CONTINUE PURGE=TRUE MATCH_BY_COLUMN_NAME=CASE_INSENSITIVE)
COMMENT='The snowflake json stage';
CREATE or REPLACE PIPE SNOWFLAKE_JSON_PIPE
AUTO_INGEST = TRUE
integration = snowflake_json_notification_integration
as
COPY INTO purge.public.cdrs
from #SNOWFLAKE_JSON_STAGE
ON_ERROR=CONTINUE
MATCH_BY_COLUMN_NAME=CASE_INSENSITIVE;
Do ON_ERROR=CONTINUE options work with PIPE?
NOTE: The file is an NDJSON file.
Related
Again I am facing an issue with loading a file into snowflake.
My file format is:
TYPE = CSV
FIELD_DELIMITER = ','
FIELD_OPTIONALLY_ENCLOSED_BY = '\042'
NULL_IF = ''
ERROR_ON_COLUMN_COUNT_MISMATCH = FALSE
[ COMMENT = '<string_literal>' ]
Now by running the:
copy into trips from #citibike_trips
file_format=CSV;
I am receiving the following error:
Found character ':' instead of field delimiter ','
File 'citibike-trips-json/2013-06-01/data_01a304b5-0601-4bbe-0045-e8030021523e_005_7_2.json.gz', line 1, character 41
Row 1, column "TRIPS"["STARTTIME":2]
If you would like to continue loading when an error is encountered, use other values such as 'SKIP_FILE' or 'CONTINUE' for the ON_ERROR option. For more information on loading options, please run 'info loading_data' in a SQL client.
I am a little confused about the file I am trying to load. Actually, I got the file from a tutorial on YouTube and in the video, it works properly. However, inside the file, there are not only CSV datasets, but also JSON, and parquet. I think this could be the problem, but I am not sure to solve it, since the command code above is having the file_format = CSV.
Remove FIELD_OPTIONALLY_ENCLOSED_BY = '\042' , recreate the file format and run the copy statement again.
You're trying to import a JSON file using a CSV file format. In most cases all you need to do is specify JSON as the file type in the COPY INTO statement.
FILE_FORMAT = ( { FORMAT_NAME = '[<namespace>.]<file_format_name>' |
TYPE = { CSV | JSON | AVRO | ORC | PARQUET | XML } [ formatTypeOptions ] } ) ]
You're using CSV, but it should be JSON:
FILE_FORMAT = (TYPE = JSON)
If you're more comfortable using a named file format, use the builder to create a named file format that's of type JSON:
I found a thread in the Snowflake Community forum that explains what I think you might have been facing. There are now three different kinds of files in the stage - CSV, parquet, and JSON. The copy process given in the tutorial expects there to be only CSV. You can use this syntax to exclude non-CSV files from the copy:
copy into trips from #citibike_trips
on_error = skip_file
pattern = '.*\.csv\.gz$'
file_format = csv;
Using the PATTERN option with a regular expression you can filter only the csv files to be loaded.
https://community.snowflake.com/s/feed/0D53r0000AVKgxuCQD
And if you also run into an error related to timestamps, you will want to set this file format before you do the copy:
create or replace file format
citibike.public.csv
type = 'csv'
field_optionally_enclosed_by = '\042'
S3 to Snowflake ( loading csv data in S3 to Snowflake table throwing following error)
I coudln't load the samefile into table in snowflake using COPY command/snowpipe.
I am always getting the following result
Copy executed with 0 files processed.
I have re-created the table. Truncated the table. But the copy_history doesn't show any data
select * from table(information_schema.copy_history(table_name=>'mytable', start_time=> dateadd(hours, -10, current_timestamp())));
I have used FORCE = true in COPY Command and COPY command didnt load the same file into Table. I have explicitly mentioned file path in COPY COMMAND
FROM
#STAGE_DEV/myfile/05/28/16/myfile_1.csv
) file_format = (
format_name = STANDARD_CSV_FORMAT Skip_header = 1 FIELD_OPTIONALLY_ENCLOSED_BY = '"' NULL_IF = 'NULL'
)
on_error = continue
Force = True;
Anyone faced similar issue and what would the process to load the same file again using COPY command or SNOWPIPE ? I dont have option to change file name or put the files in different S3 bucket.
ls#stage shows the following files ls#stage
I have reloaded files to S3 bucket and it's working. Thank you guys for all the responses. –
In a file, few of the rows have \ in a column value for example, i have rows in below format.
101,Path1,Z:\VMC\PSPS,abc
102,Path5,C:\wintm\PSPS,abc
I was wondering how to load \ character
COPY INTO TEST_TABLE from #database.schema.stage_name FILE_FORMAT = ( TYPE = CSV FIELD_OPTIONALLY_ENCLOSED_BY = '\"' SKIP_HEADER = 1 );
is there any thing that i can mention the file_format line?
Are you still getting this error? I just tried to recreate it by creating a CSV based off your sample data and a test table. I loaded the CSV into an internal stage and then ran your COPY command. It worked for me. Please see the screenshot below.
Could you provide more details on the error you are facing? Perhaps there was something off with your table definition.
Is it possible to get the header of staged csv file on snowflake into an array ?
I need to loop over all fields to insert data into our data vault model and it is really needed to get these column names onto an array.
Actually it was solved by using the following query over a staged file in a JavaScript stored procedure:
var get_length_and_columns_array = "select array_size(split($1,',')) as NO_OF_COL, "+
"split($1,',') as COLUMNS_ARRAY from "+FILE_FULL_PATH+" "+
"(file_format=>"+ONE_COLUMN_FORMAT_FILE+") limit 1";
The ONE_COLUMN_FORMAT_FILE will put all fields into one in order to make this query works:
CREATE FILE FORMAT ONE_COLUMN_FILE_FORMAT
TYPE = 'CSV' COMPRESSION = 'AUTO' FIELD_DELIMITER = '|' RECORD_DELIMITER = '\n'
SKIP_HEADER = 0
FIELD_OPTIONALLY_ENCLOSED_BY = 'NONE'
TRIM_SPACE = FALSE ERROR_ON_COLUMN_COUNT_MISMATCH = TRUE
ESCAPE = 'NONE' ESCAPE_UNENCLOSED_FIELD = '\134'
DATE_FORMAT = 'AUTO' TIMESTAMP_FORMAT = 'AUTO' NULL_IF = ('\\N');
Yes, you can query the following metadata of your staged files:
METADATA$FILENAME: Name of the staged data file the current row belongs to. Includes the path to the data file in the stage.
METADATA$FILE_ROW_NUMBER: Row number for each record in the container staged data file.
So there is not enough information. But: There is the parameter SKIP_HEADER that can be used in your COPY INTO-command. So my suggestion for a workaround is:
Copy your data into a table by using SKIP_HEADER and thus also load your header into your table as regular column values
Query the first row which are the column names
Use this as input for further processing
More infos about the parameter within the COPY INTO-Command https://docs.snowflake.com/en/sql-reference/sql/copy-into-table.html
Currently dynamically generating the column list from a csv file is not currently available in snowflake or most platform afaik.
csv is not the ideal format for this kind of schema on read operation.
if you are able to work with your input files, I would suggest converting the csv to json. If you use json instead, you can then use snowflake to process the file.
here is some context:
Load CSV files with dynamic column headers Not Supported
Example of loading json data
Example Converting CSV to JSON with Pandas
import pandas as pd
import csvkit
filepath = '/home/username/data/sales.csv'
jsonfilepath = filepath.replace('.csv','.json')
df = pd.read_csv(filepath)
# df.to_json(jsonfilepath, orient="table", date_format="iso", index=False)
df.to_json(jsonfilepath, orient="records", date_format="iso")
print("Input File: {}\r\nOutput File: {}".format(filepath, jsonfilepath))
Example Converting CSV to JSON with csvkit
csvjson -i 4 '/home/username/data/sales.csv' > '/home/username/data/sales.csvkit.json'
Querying Semi-Structured Data in Snowflake
Loading JSON Data into Snowflake
/* Create a target relational table for the JSON data. The table is temporary, meaning it persists only for */
/* the duration of the user session and is not visible to other users. */
create or replace temporary table home_sales (
city string,
zip string,
state string,
type string default 'Residential',
sale_date timestamp_ntz,
price string
);
/* Create a named file format with the file delimiter set as none and the record delimiter set as the new */
/* line character. */
/* */
/* When loading semi-structured data (e.g. JSON), you should set CSV as the file format type (default value). */
/* You could use the JSON file format, but any error in the transformation would stop the COPY operation, */
/* even if you set the ON_ERROR option to continue or skip the file. */
create or replace file format sf_tut_csv_format
field_delimiter = none
record_delimiter = '\\n';
/* Create a temporary internal stage that references the file format object. */
/* Similar to temporary tables, temporary stages are automatically dropped at the end of the session. */
create or replace temporary stage sf_tut_stage
file_format = sf_tut_csv_format;
/* Stage the data file. */
/* */
/* Note that the example PUT statement references the macOS or Linux location of the data file. */
/* If you are using Windows, execute the following statement instead: */
-- PUT file://%TEMP%/sales.json #sf_tut_stage;
put file:///tmp/sales.json #sf_tut_stage;
/* Load the JSON data into the relational table. */
/* */
/* A SELECT query in the COPY statement identifies a numbered set of columns in the data files you are */
/* loading from. Note that all JSON data is stored in a single column ($1). */
copy into home_sales(city, state, zip, sale_date, price)
from (select substr(parse_json($1):location.state_city,4), substr(parse_json($1):location.state_city,1,2),
parse_json($1):location.zip, to_timestamp_ntz(parse_json($1):sale_date), parse_json($1):price
from #sf_tut_stage/sales.json.gz t)
on_error = 'continue';
/* Query the relational table */
select * from home_sales;
I am trying to set up a Snowpipe, and I have created my warehouse, database and table and am trying to stage the filew with snowsql.
USE WAREHOUSE IoT;
USE DATABASE SNOWPIPE_TEST;
CREATE OR REPLACE STAGE my_stage;
CREATE OR REPLACE FILE_FORMAT r_json;
CREATE OR REPLACE PIPE snowpipe_pipe
AUTO_INGEST = TRUE,
COMMENT = 'add items IoT',
VALIDATION_MODE = RETURN_ALL_ERRORS
AS (COPY INTO snowpipe_test.public.mytable
from #snowpipe_db.public.my_stage
FILE_FORMAT = (type = 'JSON');
CREATE PIPE mypipe AS COPY INTO mytable FROM #my_stage;
I think something is locked but I am not sure.
I tried to save the config file as config1 and made a copy. It hung, then I remove the copy and tried to connect and there was no error, it just hung
Am I missing something?
To specify the auto ingest parameter it's AUTO_INGEST rather than AUTO-INGEST, but note that this option is not available for an internal stage. So when you try to run this command using an internal stage it should error with a message pointing this out.
https://docs.snowflake.net/manuals/sql-reference/sql/create-pipe.html#optional-parameters
Also you don't need the bracket between the "AS" and "copy" on line 5.