I am creating table using google drive as a source and google sheet as a format.
I have selected "Drive" as a value for create table from. For file Format, I selected Google Sheet.
Also I selected the Auto Detect Schema and input parameters.
Its creating the table but the first row of the sheet is also loaded as a data instead of table fields.
Kindly tell me what I need to do to get the first row of the sheet as a table column name not as a data.
It would have been helpful if you could include a screenshot of the top few rows of the file you're trying to upload at least to see the data types you have in there. BigQuery, at least as of when this response was composed, cannot differentiate between column names and data rows if both have similar datatypes while schema auto detection is used. For instance, if your data looks like this:
headerA, headerB
row1a, row1b
row2a, row2b
row3a, row3b
BigQuery would not be able to detect the column names (at least automatically using the UI options alone) since all the headers and row data are Strings. The "Header rows to skip" option would not help with this.
Schema auto detection should be able to detect and differentiate column names from data rows when you have different data types for different columns though.
You have an option to skip header row in Advanced options. Simply put 1 as the number of rows to skip (your first row is where your header is). It will skip the first row and use it as the values for your header.
Related
i'm trying to create a table from a google sheet sheet, I marked the header rows to skip to 1, however when I import the data I find :
the columns name are : string_field_0, string_field_1 ...
the header raw values existed as data in the table
I checked that in the sheet the first raw (number 1) is the header
This error could be about 3 possible problems:
1.You need to set “Header rows to skip”, which is the number of rows that are at the top of the first row with data that includes the header or if there are some rows in blanks. You can do this in BigQuery UI.
2.Maybe all the header names are string type, with BigQuery you need to distinguish each header with something other than a String. In this case I will use integer. for example:
column1,column2,column3
foo,bar,1
cat,dog,2
fizz,buzz,3
You need to have something other than just Strings
3.You need to explicitly specify the schema yourself.
I have a CSV file having more than 700 columns. I just want 175 columns from them to be inserted into a RDBMS table or a flat file usingPentaho (PDI). Now, the source CSV file has variable columns i.e. the columns can keep adding or deleting but have some specific keywords that remain constant throughout. I have the list of keywords which are present in column names that have to excluded, e.g. starts_with("avgbal_"), starts_with("emi_"), starts_with("delinq_prin_"), starts_with("total_utilization_"), starts_with("min_overdue_"), starts_with("payment_received_")
Any column which have the above keywords have to be excluded and should not pass onto my RDBMS table or a flat file. Is there any way to remove the above columns by writing some SQL query in PDI? Selecting specific 175 columns is not possible as they are variable in nature.
I think your example is fit to use meta data injection you can refer to example shared below
https://help.pentaho.com/Documentation/7.1/0L0/0Y0/0K0/ETL_Metadata_Injection
two things you need to be careful
maintain list of columns you need to push in.
since you have changing column names so you may face issue with valid columns as well which you want to import or work with. in order to do so make sure you generate the meta data file every time so you are sure about the column names you want to push out from the flat file.
I'm new to PDI and Kettle, and what I thought was a simple experiment to teach myself some basics has turned into a lot of frustration.
I want to check a database to see if a particular record exists (i.e. vendor). I would like to get the name of the vendor from reading a flat file (.CSV).
My first hurdle selecting only the vendor name from 8 fields in the CSV
The second hurdle is how to use that vendor name as a variable in a database query.
My third issue is what type of step to use for the database lookup.
I tried a dynamic SQL query, but I couldn't determine how to build the query using a variable, then how to pass the desired value to the variable.
The database table (VendorRatings) has 30 fields, one of which is vendor. The CSV also has 8 fields, one of which is also vendor.
My best effort was to use a dynamic query using:
SELECT * FROM VENDORRATINGS WHERE VENDOR = ?
How do I programmatically assign the desired value to "?" in the query? Specifically, how do I link the output of a specific field from Text File Input to the "vendor = ?" SQL query?
The best practice is a Stream lookup. For each record in the main flow (VendorRating) lookup in the reference file (the CSV) for the vendor details (lookup fields), based on its identifier (possibly its number or name or firstname+lastname).
First "hurdle" : Once the path of the csv file defined, press the Get field button.
It will take the first line as header to know the field names and explore the first 100 (customizable) record to determine the field types.
If the name is not on the first line, uncheck the Header row present, press the Get field button, and then change the name on the panel.
If there is more than one header row or other complexities, use the Text file input.
The same is valid for the lookup step: use the Get lookup field button and delete the fields you do not need.
Due to the fact that
There is at most one vendorrating per vendor.
You have to do something if there is no match.
I suggest the following flow:
Read the CSV and for each row look up in the table (i.e.: the lookup table is the SQL table rather that the CSV file). And put default upon not matching. I suggest something really visible like "--- NO MATCH ---".
Then, in case of no match, the filter redirect the flow to the alternative action (here: insert into the SQL table). Then the two flows and merged into the downstream flow.
I have a file which consists of a few part numbers.Using this file i need to exclude data in dashboard in another table which also has part numbers.How to filter data out of the table based on the part numbers present in the file if the part numbers in the file can change over time?
When you import the file with a list of part numbers, add a calculated column under transformations (also make sure that it's not reading the first record of your part list file as a header row--I don't know what your file looks like). In the expression box, just enter something simple like 1. Call this new dataset something like part_list. This column represents a flag that we will add to the table that is already in your dashboard. Let's suppose that table is called data.
Once the file is imported, click Insert > Columns... and ensure that data is selected in the "Add columns to data table:" drop down box, and that part_list is selected in the "Add columns from:" menu. Click Next. Match the part number column in both tables, and click next. Add the flag column to data with a left outer join (assuming this makes sense with your data). Once the column is added, you can filter out the 1's.
If this does not answer your question, consider providing more details about what your data looks like.
I work in a sales based environment and our data consists of 'leads'.
Let's say we record CompanyName, PhoneNumber, Address1 & PostCode(ZIP). These rows a seeded with a unique ID in the schema.
The leads come in from various sources and are compiled onto a spread sheet and then imported into SQL 2012 using SSIS.
After a validation check to see if a file exists we then use a simple data flow which consists of an Excel source, Derived Column, Data Conversion and finally an OLE DB Destination.
My requirement I'm sure has a relatively simple solution. I understand what I need to achieve is the first step. I need to take a sample of data from the last rolling two months, if 2 or more fields in the source excel file match the corresponding field in the destination sql table then I want to redirect to another table.
I am unsure of which combination of components I could use to achieve this. I believe that Fuzzy lookup may not be what I am looking for as I am looking to find exact field matches, I have looked at the lookup component but I am unsure if this is the way to go.
Could anyone please provide some advice on how I can best achieve this as simply as possible.
You can use the Lookup to check for matches in your existing table. However, it will be fairly complicated to implement the requirement of checking for any two or more fields matching. Your expression would be long and complex basically consisting of:
(using pseudo code for readability)
IIF((a=a AND b=b) OR (a=a AND c=c) OR (b=b AND c=c) OR ...and so on
for every combination of two columns you want to test
I would do this by importing the entire spreadsheet to a staging table, and doing the existing rows check in a SQL stored proc that moves the data to the desired destination table.