I have a simple data table.
Schemas>resources>tables>image_data contains the columns
image_id(integer) raw_data(bytea)
How can I export this data to files named based on the image_id? Once I figure that out I want to use the image_id to name the files based on a reference in another table.
So far I've got this:
SELECT image_id, encode(raw_data, 'hex')
FROM resources.image_data;
It generates a csv with all the images as HEX, but I don't know what to do with it.
Data-sample:
"image_id";"encode"
166;"89504e470d0a1a0a0000000d49484452000001e0000003160806000000298 ..."
Related
I have to read 10 files from a folder in blob container with different schema(most of the schema among the table macthes) and merge them into a single SQL table
file 1: lets say there are 25 such columns
file 2: Some of the column in file2 matches with columns in file1
file 3:
output: a sql table
How to setup a pipeline in azure data factory to merge these columns into a single SQL table.
my approach:
get Metadata Activity---> for each childitems--- copy activity
for the mapping--- i constructed a json that containes all the source/sink columns from these files
You can create a JSON file which contains your each source file name and Tabular Translator. Then use Lookup activity to get this file's content(Don't check first row only). Loop this array in For Each activity and pass source file name in your dataset. Finally, create a copy data activity and use Tabular Translator as your mapping.
I have Employee table in database which is having gender column. so I want to Filter Employee data based on number of gender with three column to excel like:
I'm getting this output using below talend schemaStructure 1:
So I want to optimized above structure and trying in this way but I have been stuck with other scenario. Here I'm getting Employee data with gender wise but in three different file so Is there any way so that I can achieve same excel result from one SQL input file and after mapping can be get in a single output excel file?
Structure 2 :
NOTE: I don't want to use same input table many time. I want to get same output using single table and single output excel file. so please suggest me any component which one is useful for me.
Thanks in advance!!!
I am looking for the easiest way to manually dump a subset of records in an OpenEdge database table in the Progress ".d" file format.
The best way I can imagine is creating an extra test database with the identical schema as the source database, and then copying the subset of records over to the test database using FOR EACH and BUFFER-COPY statements. Then just export the data from the test database using the Dump Data and Definitions Table Contens (.d file )... menu option.
That seems like a lot of trouble. If you can identify the subset of records in order to do the BUFFER-COPY than you should also be able to:
OUTPUT TO VALUE( "table.d" ).
FOR EACH table NO-LOCK WHERE someCondition:
EXPORT table.
END.
OUTPUT CLOSE.
Which is, essentially, what the dictionary "dump data" .d file is less a few lines of administrivia at the bottom which can be safely omitted for most purposes.
I currently have a redshift table in our database that has 10 columns, and I want to add another. It's trivial to do an alter table to do this.
My question - When I do this, will all my old CSV files fail to insert into redshift (via COPY from S3) given they won't have this new column?
I was hoping the columns would just be NULL vs. it failing on import, but I haven't seen any documentation on this.
Ideally I wish I could specify the actual column name in the header row of the CSV, but I haven't seen if that is possible anywhere.
FILLRECORD in COPY command does that: 'Allows data files to be loaded when contiguous columns are missing at the end of some of the records'.
I need to export data from a table in database A, then import it into an identically-structured table in database B. This needs to be done via phpMyAdmin. Here's the problem: no matter what format I choose for the export (CSV or SQL) ALL columns (including the auto-incremented ID field) get exported. Because there's already data in the table in database B, I can't import the ID field with the new records - I need it to import the records and assign new auto-incremented values to the records. What settings do I need to use in either the export (to be able to choose which columns to export) or the import (to tell it to ignore the ID column in the file)?
Or should I just export as CSV, then open in Excel and delete the ID column? Is there a way to tell phpMyAdmin that it should generate new auto-incremented IDs for the records being imported, without it telling me that there's an incorrect column count in the import file?
EDIT: to clarify, I'm exporting only data, not structure.
Excel is an option to remove the column and probably the fastest at this point.
But if these databases are on the same server and you have access you can just to an INSERT INTO databaseB.table (column_list) SELECT column_list FROM databaseA.table.
You can also run the SELECT statement to just get the desired columns and then export the results. This link should be available in the recent versions of PHPMyAdmin.
It is several years since the original question, but this still came out top in a google search so I'll comment on what worked for me:
If I delete the Id column in my CSV and then try to import I get the 'Invalid column count in CSV input on line 1.' error.
But if I keep the Id column but change all of the Id values to NULL in excel (just typing NULL into the cell), then when I import this the id auto-increment fills in the new records with consecutive numbers (presumably starting with the highest existing record Id +1 ).
I'm using PHPMyAdmin 4.7.0
Another way is
Go to the import menu for that table
Add the CSV file (without an ID column)
Pick CSV in the Format section
In the section where you pick the format of the file (separated by which char, which char encloses fields, etc) there's a field called Column names Type the names of the columns you ARE including, separated by commas.