I was trying to dump my PostgreSQL database created via SQLalchemy using python script. Though I have successfully created a database and all the data are getting inserted via web parsing in the ORM I have mapped with. But when I am trying to take a dump for all my insert queries using this
tab = Table(table.__tablename__, MetaData())
x = tab.insert().compile(
dialect=postgresql.dialect(),
compile_kwargs={"literal_binds": True},
)
logging.info(f"{x}")
I am adding values using ORM like this:
for value in vertex_type_values:
data = table(
Type=value["type"],
Name=value["name"],
SizeX=value["size_x"],
SizeY=value["size_y"],
SizeZ=value["size_z"],
)
session.add(data)
session.commit()
here table is the model which i have designed and imported from my local library and vertex_type_values which I have extracted and yield in my script
I am getting the output as
INSERT INTO <tablename> DEFAULT VALUES
So my question is how to get rid of Default Values and get actual values so that I can directly use insert command if my DB crash anytime? I need to know raw SQL for insert command
Related
I would like to a bulk update in sequelize. Unfortunately it seems like sequelize does not support bulk updates I am using sequelize-typescript if that helps and using postgresql 14
My query in raw SQL looks like this
UPDATE feed_items SET tags = val.tags FROM
(
VALUES ('ddab8ce7-afa3-824f-7b65-edfb53a71764'::uuid,ARRAY[]::VARCHAR(255)[]),
('ece9f2fc-2a09-4a95-16ce-07293b0a14d2'::uuid,ARRAY[]::VARCHAR(255)[])
) AS val(id, tags) WHERE feed_items.id = val.id
I would like to generate this query from a given array of string and array values. The tags is implemented as a string array in my table.
Is there a way to generate the above query without using raw query?
Or an SQL injection safe way of generating the above query?
I have a very simple ADF pipeline to copy data from local mongoDB (self-hosted integration environment) to Azure SQL database.
My pipleline is able to copy the data from mongoDB and insert into SQL db.
Currently if I run the pipeline it inserts duplicate data if run multiple times.
I have made _id column as unique in SQL database and now running pipeline throws and error because of SQL constraint wont letting it insert the record.
How do I check for duplicate _id before inserting into SQL db?
should I use Pre-copy script / stored procedure?
Some guidance / directions would be helpful on where to add extra steps. Thanks
Azure Data Factory Data Flow can help you achieve that:
You can follow these steps:
Add two sources: Cosmos db table(source1) and SQL database table(source2).
Using Join active to get all the data from two tables(left join/full join/right join) on Cosmos table.id= SQL table.id.
AlterRow expression to filter the duplicate _id, it not duplicate then insert it.
Then mapping the no-duplicate column to the Sink SQL database table.
Hope this helps.
You Should implement your SQL Logic to eliminate duplicate at the Pre-Copy Script
Currently I got the solution using a Stored Procedure which look like a lot less work as far this requirement is concerned.
I have followed this article:
https://www.cathrinewilhelmsen.net/2019/12/16/copy-sql-server-data-azure-data-factory/
I created table type and used in stored procedure to check for duplicate.
my sproc is very simple as shown below:
SET QUOTED_IDENTIFIER ON
GO
ALTER PROCEDURE [dbo].[spInsertIntoDb]
(#sresults dbo.targetSensingResults READONLY)
AS
BEGIN
MERGE dbo.sensingresults AS target
USING #sresults AS source
ON (target._id = source._id)
WHEN NOT MATCHED THEN
INSERT (_id, sensorNumber, applicationType, place, spaceType, floorCode, zoneCountNumber, presenceStatus, sensingTime, createdAt, updatedAt, _v)
VALUES (source._id, source.sensorNumber, source.applicationType, source.place, source.spaceType, source.floorCode,
source.zoneCountNumber, source.presenceStatus, source.sensingTime, source.createdAt, source.updatedAt, source.updatedAt);
END
I think using stored proc should do for and also will help in future if I need to do more transformation.
Please let me know if using sproc in this case has potential risk in future ?
To remove the duplicates you can use the pre-copy script. OR what you can do is you can store the incremental or new data into a temp table using copy activity and use a store procedure to delete only those Ids from the main table which are in temp table after deletion insert the temp table data into the main table. and then drop the temp table.
The database is in Azure cloud and not being used in production currently. There are 80.000 rows and a uprn is a VARCHAR(100);
I'm already using JOI to validate each UPRN as well;
I'm using KNEX with a SQL Server database with the following whereIn query:
knex(LOCATIONS.table).whereIn(LOCATIONS.uprn, req.body.uprns)
but this takes 8-12s to complete and sometimes timesout. if I use .toQuery() on the same thing, SSMS will return the result within 1-2.
If I do a raw query, the resulting .toQuery() or toString() works in SSMS and returns results. But if I try to use the raw directly, it will return 0 results.
I'm looking to either fix what's making whereIn so slow or get the raw query working.
EDIT 1:
After much debugging and trying -- it seems that the bug is due to how knex deals with arrays, so I made a for-of loop to add ? ? ? for each array element and then inputed the array for all params.
This led me to realizing the performance issue is due to SQL server way of parameterising.
I ended up building a raw query string with all of the parameters and validating the input with Joi string/regex config:
Joi.string()
.min(1)
.max(35)
.regex(/^[a-z\d\-_\s]+$/i)
allowing only for alphanumeric, dashes and spaces which should prevent sql injection.
I'm going to look deeper into security issues with this and might make a separate login that can only SELECT data from that table and nothing more to run with these queries.
Needed to just handle it raw and validate separately.
i am trying to work with multiple database and schemas using simple vertical partitioning in sqlalchemy and python .
Have create two database engines and configured successfully to sessionmaker()
Session = sessionmaker()
Session.configure(binds={BaseA:engine1, BaseB:engine2})
Able to get the required sql query generated successfully
driverssql = session.query(drivers)
but when i execute the above query to fetch the requslts i get the follwing error :
resultset=session.execute(driversql)
sqlalchemy.exc.UnboundExecutionError: Could not locate a bind configured on SQL expression or this Session (how can i associate the correct engine with execute statement)
I'm seeing here two variants:
You can create 2 sessionmakers here and use them separately according to an engine.
You can choose necessary engine when executing a query:
engine1 = create_engine(first_db)
engine2 = create_engine(second_db)
session.execute(drivers, bind=engine1)
I created a new table in the Bluemix SQL Database service by uploading a csv (baseball.csv) and took the default table name of "baseball".
I created a simple app in Node.js which is just trying to select data from the table with select * from baseball, but I keep getting the following error:
[IBM][CLI Driver][DB2/NT] SQL0204N "USERxxxx.BASEBALL" in an undefined name
Why can't it find my database table?
This issue seems independent of bluemix, rather it is usage error.
This error is possibly caused by following:
The object identified by name is not defined in the database.
User response
Ensure that the object name (including any required qualifiers) is correctly specified in the SQL statement and it exists.
try running "list tables" from command prompt to check if your table spelling is correct or not.
http://www-01.ibm.com/support/knowledgecenter/SSEPGG_9.7.0/com.ibm.db2.luw.messages.sql.doc/doc/msql00204n.html?cp=SSEPGG_9.7.0%2F2-6-27-0-130
I created the table from SQL Database web UI in bluemix and took the default name of baseball. It looks like this creates a case-sensitive table name.
Unfortunately for me, the sql_db libary (and all db2 clients I believe) auto-capitalizes the SQL query into "SELECT * FROM BASEBALL"
The solution was to either
A. Explicitly name my table BASEBALL in the web UI; or
B. Modify my sql query by quoting the table name:
select * from "baseball"
More info at http://www.ibm.com/developerworks/data/library/techarticle/0203adamache/0203adamache.html#N10121