I have been working with Redshift and now testing Snowflake. Both are columnar databases. Everything I have read about this type of databases says that they store the information by column rather than by row, which helps with the massive parallel processing (MPP).
But I have also seen that they are not able to change the order of a column or add a column in between existing columns (don't know about other columnar databases). The only way to add a new column is to append it at the end. If you want to change the order, you need to recreate the table with the new order, drop the old one, and change the name of the new one (this is called a deep copy). But this sometimes can't be possible because of dependencies or even memory utilization.
I'm more surprised about the fact that this could be done in row databases and not in columnar ones. Of course, there must be a reason why it's not a feature yet, but I clearly don't have enough information about it. I thought it was going to be just a matter of changing the ordinal of the tables in the information_schema but clearly is not that simple.
Does anyone know the reason of this?
Generally, column ordering within the table is not considered to be a first class attribute. Columns can be retrieved in whatever order you require by listing the names in that order.
Emphasis on column order within a table suggests frequent use of SELECT *. I'd strongly recommend not using SELECT * in columnar databases without an explicit LIMIT clause to minimize the impact.
If column order must be changed you do that in Redshift by creating a new empty version of the table with the columns in the desired order and then using ALTER TABLE APPEND to move the data into the new table very quickly.
https://docs.aws.amazon.com/redshift/latest/dg/r_ALTER_TABLE_APPEND.html
The order in which the columns are stored internally cannot be changed without dropping and recreating them.
Your SQL can retrieve the columns in any order you want.
General requirement to have columns listed in some particular order is for the viewing purpose.
You could define a view to be in the desired column order and use the view in the required operation.
CREATE OR REPLACE TABLE CO_TEST(B NUMBER,A NUMBER);
INSERT INTO CO_TEST VALUES (1,2),(3,4),(5,6);
SELECT * FROM CO_TEST;
SELECT A,B FROM CO_TEST;
CREATE OR REPLACE VIEW CO_VIEW AS SELECT A,B FROM CO_TEST;
SELECT * FROM CO_VIEW;
Creating a view to list the columns in the required order will not disturb the actual table underneath the view and the resources associated with recreation of the table is not wasted.
In some databases (Oracle especially) ordering columns on table will make difference in performance by storing NULLable columns at the end of the list. Has to do with how storage is beiing utilized within the data block.
I am altering the column datatype for a table with around 100 Million records using the below query:
ALTER TABLE dbo.TARGETTABLE
ALTER COLUMN XXX_DATE DATE
The column values are in the right date format as I inserted original date from a valid data source.
However, the query have been running for a long time and even when I attempt to cancel the query it seems to take forever.
Can anyone explain what is happening behind the scene in SQL Server when an ALTER TABLE STATEMENT is executed and why requires such resources?
There are a lot of variables that will make these Alter statements
make multiple passes through your table and make heavy use of TempDB
and depending on efficiency of TempDB it could be very slow.
Examples include whether or not the column you are changing is in the
index (especally clustered index since non-clustering key carries the
clustering index).
Instead of altering table...i will give you one simple exmaple...so you can try this....
Suppose your table name is tblTarget1
Create the another table (tblTarget2) with same structure...
Change the dataType of tblTarget2.....
Copy the data from tblTarget1 To tblTarget2 using Insert into query....
Drop the original table(tblTarget1)
Rename the tblTarget2 as tblTarget1
The main Reaseon is that....changing the data type will take a lot of data transfer and data page alignment....
For more Information you can follow this Link
Another approach to do this is the following:
Add new column to the table - [_date] date
Using batch update you can change transfer the values from the old to the new column without blocking the table for the other users.
Then in one transaction do the following:
update all of the new values inserted after the update is done
drop the old column
rename the new column
Note, if you have an index on this field you need to drop it before deleting the old column and create if after renaming the new one.
One of the requirements of a recent project I was working on, was maintaining history of database table data as part of an audit trail. My first thought about the technical solution was to use triggers, but after some research I learned about SQL Server temporal tables (Part of core SQL Server 2016). I did a lot of research around this and see that Temporal tables can be put to good use.
More on temporal tables: Managing Temporal Table History in SQL Server 2016
However, I want the data in temporal tables to be created only when few columns are changed.
CREATE TABLE dbo.Persons
(
ID BIGINT IDENTITY(1,1) NOT NULL,
FirstName NVARCHAR(50) NOT NULL,
LastName NVARCHAR(50),
PhoneNumber NVARCHAR(20)
)
Now if I create the temporal table on top of this (SYSTEM_VERSIONING = On), I want the data to be inserted in the Temporal table only when Phone Number is changed and not the first name and last name.
Unfortunately, that's not the way it works. Like the link in your post says, "system versioning is all-or-nothing". Honestly, your first instinct is likely your best option - every other method of doing it (CDC, replication, system versioning..) will capture more data than you want and you will have to pare the results down after the fact.
If you really want to use system versioning, you'd just have to use one of the options presented in the provided link: delete unwanted rows and/or update unwanted columns to NULL values.
I would recommend going with your first instinct and use triggers to implement something like a type 4 slowly changing dimension. It's the most straightforward method of getting the specific data you want.
You could create one table for the attributes you want history for (and you'll set system_versioning = ON) and a second table with the attributes you don't want history for. Between the two tables you'll have a 1-to-1 relation.
Working on a project at the moment and we have to implement soft deletion for the majority of users (user roles). We decided to add an is_deleted='0' field on each table in the database and set it to '1' if particular user roles hit a delete button on a specific record.
For future maintenance now, each SELECT query will need to ensure they do not include records where is_deleted='1'.
Is there a better solution for implementing soft deletion?
Update: I should also note that we have an Audit database that tracks changes (field, old value, new value, time, user, ip) to all tables/fields within the Application database.
I would lean towards a deleted_at column that contains the datetime of when the deletion took place. Then you get a little bit of free metadata about the deletion. For your SELECT just get rows WHERE deleted_at IS NULL
You could perform all of your queries against a view that contains the WHERE IS_DELETED='0' clause.
Having is_deleted column is a reasonably good approach.
If it is in Oracle, to further increase performance I'd recommend partitioning the table by creating a list partition on is_deleted column.
Then deleted and non-deleted rows will physically be in different partitions, though for you it'll be transparent.
As a result, if you type a query like
SELECT * FROM table_name WHERE is_deleted = 1
then Oracle will perform the 'partition pruning' and only look into the appropriate partition. Internally a partition is a different table, but it is transparent for you as a user: you'll be able to select across the entire table no matter if it is partitioned or not. But Oracle will be able to query ONLY the partition it needs. For example, let's assume you have 1000 rows with is_deleted = 0 and 100000 rows with is_deleted = 1, and you partition the table on is_deleted. Now if you include condition
WHERE ... AND IS_DELETED=0
then Oracle will ONLY scan the partition with 1000 rows. If the table weren't partitioned, it would have to scan 101000 rows (both partitions).
The best response, sadly, depends on what you're trying to accomplish with your soft deletions and the database you are implementing this within.
In SQL Server, the best solution would be to use a deleted_on/deleted_at column with a type of SMALLDATETIME or DATETIME (depending on the necessary granularity) and to make that column nullable. In SQL Server, the row header data contains a NULL bitmask for each of the columns in the table so it's marginally faster to perform an IS NULL or IS NOT NULL than it is to check the value stored in a column.
If you have a large volume of data, you will want to look into partitioning your data, either through the database itself or through two separate tables (e.g. Products and ProductHistory) or through an indexed view.
I typically avoid flag fields like is_deleted, is_archive, etc because they only carry one piece of meaning. A nullable deleted_at, archived_at field provides an additional level of meaning to yourself and to whoever inherits your application. And I avoid bitmask fields like the plague since they require an understanding of how the bitmask was built in order to grasp any meaning.
if the table is large and performance is an issue, you can always move 'deleted' records to another table, which has additional info like time of deletion, who deleted the record, etc
that way you don't have to add another column to your primary table
That depends on what information you need and what workflows you want to support.
Do you want to be able to:
know what information was there (before it was deleted)?
know when it was deleted?
know who deleted it?
know in what capacity they were acting when they deleted it?
be able to un-delete the record?
be able to tell when it was un-deleted?
etc.
If the record was deleted and un-deleted four times, is it sufficient for you to know that it is currently in an un-deleted state, or do you want to be able to tell what happened in the interim (including any edits between successive deletions!)?
Careful of soft-deleted records causing uniqueness constraint violations.
If your DB has columns with unique constraints then be careful that the prior soft-deleted records don’t prevent you from recreating the record.
Think of the cycle:
create user (login=JOE)
soft-delete (set deleted column to non-null.)
(re) create user (login=JOE). ERROR. LOGIN=JOE is already taken
Second create results in a constraint violation because login=JOE is already in the soft-deleted row.
Some techniques:
1. Move the deleted record to a new table.
2. Make your uniqueness constraint across the login and deleted_at timestamp column
My own opinion is +1 for moving to new table. Its take lots of
discipline to maintain the *AND delete_at = NULL* across all your
queries (for all of your developers)
You will definitely have better performance if you move your deleted data to another table like Jim said, as well as having record of when it was deleted, why, and by whom.
Adding where deleted=0 to all your queries will slow them down significantly, and hinder the usage of any of indexes you may have on the table. Avoid having "flags" in your tables whenever possible.
you don't mention what product, but SQL Server 2008 and postgresql (and others i'm sure) allow you to create filtered indexes, so you could create a covering index where is_deleted=0, mitigating some of the negatives of this particular approach.
Something that I use on projects is a statusInd tinyint not null default 0 column
using statusInd as a bitmask allows me to perform data management (delete, archive, replicate, restore, etc.). Using this in views I can then do the data distribution, publishing, etc for the consuming applications. If performance is a concern regarding views, use small fact tables to support this information, dropping the fact, drops the relation and allows for scalled deletes.
Scales well and is data centric keeping the data footprint pretty small - key for 350gb+ dbs with realtime concerns. Using alternatives, tables, triggers has some overhead that depending on the need may or may not work for you.
SOX related Audits may require more than a field to help in your case, but this may help.
Enjoy
Use a view, function, or procedure that checks is_deleted = 0; i.e. don't select directly on the table in case the table needs to change later for other reasons.
And index the is_deleted column for larger tables.
Since you already have an audit trail, tracking the deletion date is redundant.
I prefer to keep a status column, so I can use it for several different configs, i.e. published, private, deleted, needsAproval...
Create an other schema and grant it all on your data schema.
Implment VPD on your new schema so that each and every query will have the predicate allowing selection of the non-deleted row only appended to it.
http://download.oracle.com/docs/cd/E11882_01/server.112/e16508/cmntopc.htm#CNCPT62345
#AdditionalCriteria("this.status <> 'deleted'")
put this on top of your #entity
http://wiki.eclipse.org/EclipseLink/Examples/JPA/SoftDelete
I want to add a column to one of my tables in SQL Server. I don't want it to be at the end of the column listing in the table...I actually want it to be somewhere else (location wise) in the table. Is there another option besides dropping and rebuilding (populating) the table to accomplish this? I obviously don't want ot lose any of my data, but I would prefer it not have to have the column at the end of the table definition.
Thanks,
S
Column order in the table is irrelevant -- it's purely cosmetic.
There is no extension to ALTER TABLE that allows you to specify the ordinal position of a new column (either for adding a new column or moving an existing column).
For more on the subject, see:
Change Order of Column In Database Tables
Short answer:
I agree with OMG Ponies, column order isn't important. If you don't have a clustered index, rather drop and recreate the table than run an ALTER TABLE x ADD col.
Long answer:
If your table has a fair bit of data (50Mb comes to mind) then you will be better off recreating the table rather than ALTER TABLE x ADD col The data page allocation plan for the table is calculated at table creation time so when you add a column, SQL Server will typically put your new column's data in separate pages and put forward pointers from your existing data pages to the new data pages for the column you added. If you're going to use the new column extensively then your table IO will be quite poor since reading even 1 row will require reading at least 2 pages. Table scans will also perform poorly since forward pointers will always be followed, causing table scans that are normally sequential to jump back and forth on your disk during a read.
In this case it's better to rename the existing table, recreate your table with the new column, insert into table_name select col1, col2, 'null or default for new col', col3 from temp_renamed_table and finally drop the old table that you renamed. The data pages will be much better organised and your IO will be faster despite looking the same from a SQL developer's point of view than when ALTER TABLE is used. If you have a clustered index the table will be reorganised when you add the column and page splits are less likely. You could also run ALTER TABLE x REBUILD if you have SQL Server 2008, don't have a clustered index and lots of time when users aren't using your table. It's hard to comment on your indexing strategy without knowing much more.
This is a much better reason for recreating the table than something cosmetic like column order.
It is an extremely bad practice to rearrange columns in a table. Do not even consider trying to do such a thing. The column order is irrelevant if you have used correct coding practices (such as never and I do mean never) using select *.
If you have used select * and you change the order of the columns, you are even more at risk of breaking code because the query may not be expecting Price as the third column but as the second column and that could seriously mess up a lot of things.
Further the only way to do this is to create another table, move your data and then drop the old table and rename the first one. Of course if you have FKs, they too have to be dropped and recreated. This takes alot of time if you hav ea large data set and could cause problems for users.
There is no cuircumstance where you would ever consider doing this for a table that in on production as it is just too risky. If you are in the early stages of design, you could consider doing it.
ALTER TABLE my_table ADD COLUMN column_name VARCHAR(50) AFTER col_name;
substituting whatever def you want for VARCHAR(50)
http://dev.mysql.com/doc/refman/5.1/en/alter-table.html
Edit This is of course the right answer for a MySQL server... but this is not what the OP wants.