I am attempting to create a table using a .tsv file in BigQuery, but keep getting the following error:
"Failed to create table: Error while reading data, error message: Could not parse '41.66666667' as INT64 for field Team_Percentage (position 8) starting at location 14419658 with message 'Unable to parse'"
I am not sure what to do as I am completely new to this.
Here is a file with the first 100 lines of the full data:
https://wetransfer.com/downloads/25c18d56eb863bafcfdb5956a46449c920220502031838/f5ed2f
Here are the steps I am currently taking to to create the table:
https://i.gyazo.com/07815cec446b5c0869d7c9323a7fdee4.mp4
Appreciate any help I can get!
As confirmed with OP (#dan), the error encountered is caused by selecting Auto detect when creating a table using a .tsv file as the source.
The fix for this is to manually create a schema and define the data type for each column properly. For more reference on using schema in BQ see this document.
Related
I am setting up a prediction model using AutoML Tables. Here are the steps that I have completed.
Prepare a csv file with relevant data(4 fields).
Preprocess the data file.(Remove records with null values and repetitive records).
Create a data set by importing the processed file in the import
step . In the train step, I see the auto
generated schema.
I am unable to edit that schema(specify the target column or modify the data type of a column).
Pls advise.
I encounter below errors
"Schema update failed - The attempted action failed, please try
again"
"Failed to update schema - Schema update failed with errors"
I am new in bigquery, Here I am trying to load the Data in GCP BigQuery table which I have created manually, I have one bash file which contains bq load command -
bq load --source_format=CSV --field_delimiter=$(printf '\u0001') dataset_name.table_name gs://bucket-name/sample_file.csv
My CSV file contains multiple ROWS with 16 column - sample Row is
100563^3b9888^Buckname^https://www.settttt.ff/setlllll/buckkkkk-73d58581.html^Buckcherry^null^null^2019-12-14^23d74444^Reverb^Reading^Pennsylvania^United States^US^40.3356483^-75.9268747
Table schema -
When I am executing bash script file from cloud shell, I am getting following Error -
Waiting on bqjob_r10e3855fc60c6e88_0000016f42380943_1 ... (0s) Current status: DONE
BigQuery error in load operation: Error processing job 'project-name-
staging:bqjob_r10e3855fc60c6e88_0000ug00004521': Error while reading data, error message: CSV
table
encountered too many errors, giving up. Rows: 1; errors: 1. Please look into the errors[] collection
for more details.
Failure details:
- gs://bucket-name/sample_file.csv: Error while
reading data, error message: CSV table references column position
15, but line starting at position:0 contains only 1 columns.
What would be the solution, Thanks in advance
You are trying to insert wrong values to your table per the schema you provided
Based on table schema and your data example I run this command:
./bq load --source_format=CSV --field_delimiter=$(printf '^') mydataset.testLoad /Users/tamirklein/data2.csv
1st error
Failure details:
- Error while reading data, error message: Could not parse '39b888'
as int for field Field2 (position 1) starting at location 0
At this point, I manually removed the b from 39b888 and now I get this
2nd error
Failure details:
- Error while reading data, error message: Could not parse
'14/12/2019' as date for field Field8 (position 7) starting at
location 0
At this point, I changed 14/12/2019 to 2019-12-14 which is BQ date format and now everything is ok
Upload complete.
Waiting on bqjob_r9cb3e4ef5ad596e_0000016f42abd4f6_1 ... (0s) Current status: DONE
You will need to clean your data before upload or use a data sample with more lines with --max_bad_records flag (Some of the lines will be ok and some not based on your data quality)
Note: unfortunately there is no way to control date format during the upload see this answer as a reference
We had the same problem while importing data from local to BigQuery. After researching the data we saw that there data which starting \r or \s enter image description here
After implementing ua['ColumnName'].str.strip() and ua['District'].str.rstrip(). we could add data to Bg.
Thanks
I have to upload a JSON load into the big query. While uploading the load I got the below-mentioned error.
I debug and found that it is failing on this JSON record which seems to be valid.
{"firebaseUid":"00FKNF7x2BQhDoPk9TSzE4Ncepn1","age_range":{"min":21},"signUpApp":"stationApp","uid":"00FKNF7x2BQhDoPk9TSzE4Ncepn1","locale":"en_US","emailSha256":"501a8456ececb2a50e733eed6c64b840d63d3aad99fb9ad4a1bbd2cbc33fc1f6","loginMethod":"facebook","notificationToken":"dummy","ageRangeMin":21,"pushNotificationEnabled":true,"projectId":"triplembaas","createDate":"13/07/2018","state":"QLD","station":"TripleM 104.5","facebookId":"1021TheHotBreakfast740157586","email":"connollyharley#gmail.com","cellularNetwork":"OPTUS","suburb":"Bellara","idfa":"60A63734A27E40249331658F1AC670A1","deviceId":"BBD901JaseJuelz454E100000000000000000","firstSignUpDate":"13/07/2018","name":"Harley Connolly","gender":"male","emailVerificationFlag":false,"lastUpdateDate":"20/07/2018","link":"dummy"}
Error while reading data, error message: JSON table encountered too many errors, giving up. Rows: 1; errors: 1. Please look into the error stream for more details.
Probably I am late but for anyone still looking for answer try this.
Change your date format to "YYYY-MM-DD". Somehow bigquery detects that the field value is Date and it won't allow any other format of date instead of "YYYY-MM-DD"
So I want to import a datetime from a txt:
2015-01-22 09:19:59
into a table using a data flow. I have my Flat Source File and my destination DB set up fine. I changed the data type for the txt input for that column in the advanced settings and the input and output properties to:
database timestamp [DT_DBTIMESTAMP]
This is the same data type as the DB used for the table so this should work.
However, when I execute the package I get a error saying the data conversion failed... How do I make this possible?
[Import txt data [1743]] Error: Data conversion failed. The data conversion for column "statdate" returned status value 2 and status text "The value could not be converted because of a potential loss of data.".
[Import txt data [1743]] Error: SSIS Error Code DTS_E_INDUCEDTRANSFORMFAILUREONERROR. The "output column "statdate" (2098)" failed because error code 0xC0209084 occurred, and the error row disposition on "output column "statdate" (2098)" specifies failure on error. An error occurred on the specified object of the specified component. There may be error messages posted before this with more information about the failure.
[Import txt data [1743]] Error: An error occurred while processing file "C:\Program Files\Microsoft SQL Server\MON_Datamart\Sourcefiles\tbl_L30T1.txt" on data row 14939.
On the row he is giving the error the datetime is filled up with spaces. that is why on the table the "allow nulls" is checked but my SSIS package gives the error for some reason... can I somewhere tell the package to allow nulls aswell?
I suggest you import the data in to a character field and then parse it after entry.
The following function should help you:
SELECT IsDate('2015-01-22 09:19:59')
, IsDate(Current_Timestamp)
, IsDate(' ')
, IsDate('')
The IsDate() function returns a 1 when it thinks the value is a date and a 0 when it is not.
This would allow you to do something like:
SELECT value_as_string
, CASE WHEN IsDate(value_as_string) = 1 THEN
Cast(date_as_string As datetime)
ELSE
NULL
END As value_as_datetime
FROM ...
I solved it Myself. Thank you for your suggestion gvee but the way I did it is way easier.
In the Flat File Source when making a new connection in the advanced tab I fixed all the data types according to the table in the database EXCEPT the column with the timestamp (in my case it was called "statdate")! I changed this data type to a STRING because otherwise my Flat File Source would give me a conversion error even before any scripts would have been able to be executed and the only way arround this was setting the error output to ignore failure wich I don't want. (You still have to change the data type after you set it to a string in the advanced settings by right clicking the flat file source -> show advanced editor -> going to the output colums and changing the data type there from Date to string.)
After the timestamp was set to a string I added a Derived Column with this expression to delete all the spaces and give it then "NULL" value:
TRIM(<YourColumnName>) == "" ? (DT_STR,4,1252)NULL(DT_STR,4,1252) : <YourColumnName>
Next I added a Data Conversion to set the string back to a timestamp. The Data conversion is finally connected to the OLE DB Destination.
I hope this helps anyone with the same problem in the future.
End result: Picture of data flow
I'm having a problem getting data from a .CSV into a column of datatype FLOAT. I've tried to link it directly and also use the Data Conversion Task, but (in both cases) it kept telling me that it couldn't convert:
Error: 0xC02020C5 at DC_Weekly_Cost_Target csv to FatzWklyCst_Target, Data Conversion [156]: Data conversion failed while converting column "Target" (22) to column "Copy of Target" (163). The conversion returned status value 2 and status text "The value could not be converted because of a potential loss of data.".
My research led me to using the Derived Column Transformation Editor. I found a few websites that walked me through how properly use the "Expression" portion:
Above is how I'm attempting to transform the strings (Target and Waste) into datatype Float. I'm not receiving an error message when using the Editor (i.e. It will let me clik OK without an error), however, I am receiving an error when I attempt to run the package:
Error: 0xC0049064 at DC_Weekly_Cost_Target csv to FatzWklyCst_Target, Map Target in correct datatype 1 1 [222]: An error occurred while attempting to perform a type cast.
Error: 0xC0209029 at DC_Weekly_Cost_Target csv to FatzWklyCst_Target, Map Target in correct datatype 1 1 [222]: SSIS Error Code DTS_E_INDUCEDTRANSFORMFAILUREONERROR. The "component "Map Target in correct datatype 1 1" (222)" failed because error code 0xC0049064 occurred, and the error row disposition on "output column "Target_Float" (227)" specifies failure on error. An error occurred on the specified object of the specified component. There may be error messages posted before this with more information about the failure.
Error: 0xC0047022 at DC_Weekly_Cost_Target csv to FatzWklyCst_Target, SSIS.Pipeline: SSIS Error Code DTS_E_PROCESSINPUTFAILED. The ProcessInput method on component "Map Target in correct datatype 1 1" (222) failed with error code 0xC0209029 while processing input "Derived Column Input" (223). The identified component returned an error from the ProcessInput method. The error is specific to the component, but the error is fatal and will cause the Data Flow task to stop running. There may be error messages posted before this with more information about the failure.
This is my first time using the Derived Column Transformation Editor. Does anyone see what I'm doing incorrectly? Or, do you have any suggestions as to what may be the best approach to getting data from a .csv file into a column of datatype float? I appreciate any help that anyone can give me.
You have tried a reasonable approach but something in the data is blowing it up - possibly "invalid" characters e.g. $ or ,
I would replace the Derived Column transformation with a Script Task. There you can leverage the .NET Framework e.g. Try ... Catch, TryParse, Regex. You can debug your code line-by-line to inspect the rows with errors. You can also use Reflection to factor your conversion code as a function that you call for each column passed into the Script Task.
PS: your destination is irrelevant.