I have a CSV file for backup and I want to append my data back in sqlite database from CSV file.
How do I store the data back into the databases of react native app
CSV format is :
'a', 'b', 'c'
'A1', B1, C1
'A2', B2, C2
'A3', B3, C3
It was finished after using a package called papaparse
Related
I am using data wrangler to upload data from a dataframe into S3 bucket parquet files, and am trying to get it in a 'Hive'-like folder structure of:
prefix
- year=2022
-- month=08
--- day=01
--- day=02
--- day=03
In the following code example:
import awswrangler as wr
import pandas as pd
wr.s3.to_parquet(
df=pd.DataFrame({
'date': ['2022-08-01', '2022-08-02', '2022-08-03'],
'col2': ['A', 'A', 'B']
}),
path='s3://bucket/prefix',
dataset=True,
partition_cols=['date'],
database='default'
)
The resulting s3 folder structure would be:
prefix
- date=2022-08-01
- date=2022-08-02
- date=2022-08-03
The Sagemaker feature store ingest function (https://sagemaker.readthedocs.io/en/stable/api/prep_data/feature_store.html) sort of does this automatically with the event_time_feature_name column (timestamp) automatically creating the Hive file structure in S3.
How can I do this with Data Wrangler without creating 3 additional columns from the 1 column and declaring them as partitions, but put in 1 column and have the partitions by year month and day automatically created?
Is there a way to import a CSV file with an array column to POSTGRESQL with the data below?
genres
['documentation']
['crime', 'drama']
['comedy', 'fantasy']
['comedy']
['horror']
['comedy', 'european']
['thriller', 'crime', 'action']
['drama', 'music', 'romance', 'family']
I am having trouble loading data from an amazon S3 bucket to the snowflake table. This is my command:
copy into myTableName
from 's3://dev-allocation-storage/data_feed/'
credentials=(aws_key_id='***********' aws_secret_key='**********')
PATTERN='.*/.*/.*/.*'
file_format = (type = csv field_delimiter = '|' skip_header = 1 error_on_column_count_mismatch=false );
I have 3 CSV files in my bucket and they are all being loaded into the table. But I have 8 columns in my target table, but they are all being loaded into the first columns as a JSON object.
Check that you do not have each row enclosed in double-quotes. Something like "f1|f2|...|f8". This will be treated like one single column value. Unlike "f1"|"f2"|...|"f8".
I have a CSV file and I want to import my data into the TDengine database. Are there any tutorials for data importing?
you can use following sql:
INSERT INTO table_name FILE '/tmp/csvfile.csv';
INSERT INTO table_name USING super_table_name TAGS ('Beijing.Chaoyang', 2) FILE '/tmp/csvfile.csv';
INSERT INTO table_name_1 USING super_table_name TAGS ('Beijing.Chaoyang', 2) FILE '/tmp/csvfile_21001.csv'
table_name_2 USING super_table_name (groupId) TAGS (2) FILE '/tmp/csvfile_21002.csv';
you can find more details from here Taos SQL
I am really new in MS SQL Server Management.
I create job.. Then I choose advanced in job steps..and choose to save as test.csv.
SELECT
T0.U_Scid as 'id',
T3.U_Boarding as 'start',
...
T3.U_Boarding as 'end',
T2.Name as 'service_classification',
T5.U_Type as 'equipment'
FROM [XXX].[dbo].[#COR_SC_EQUIP] T5,[XXX].[dbo].[#COR_SC_GENERAL] T3,
[XXX].[dbo].[#COR_SC_HEADER] T0
INNER JOIN [XXX].[dbo].[OSCS] T1 on T0.U_Status = T1.statusID
INNER JOIN [XXX].[dbo].[OSCO] T2 on T0.U_Classifi = T2.originID
WHERE T3.U_ScID = T0.U_ScID AND T5.U_ScID = T0.U_SciD AND T3.U_Boarding >
'2016-01-01 00:00:00.000'
ORDER BY T3.U_ScID
And when I open test.csv, I have data in this format: 217775
2016-07-21 00:00:00.000 (...between is huge gap...) 2016-07-21 (...between is huge gap...) 00:00:00.000 (....between is huge gap...) 66 ... and not comma delimited.
Should I change type from Transact-SQL into something else? So when I want to import it into database it will be in right format.
When I run sql I am able to copy table with header and save it into EXCEL and import it easily into another database. But I would like to do it auutomatically every day.
I already set..but the format is not suitable for importing into another database
Thank you so much for your advice