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On one of my existing tables I have a btree index. I am now adding a unique constraint to this column. I know behind the scenes it will add a UNIQUE btree index to this column as well.
In this scenario, should I drop the original btree index added to the column to prevent redundant indexes?
Thanks! :]
Magento ver. 2.3.5
mariadb 10.2
PHP 7.2
We are hitting the constraint violation error below when running: php bin/magento setup:upgrade
catalog_product_entity_varchar ran out of space at 2147483647 so we increased the value_id int to Bigint.
We are able to edit and add products again. But now have the constraint error coming up when it reaches schema / update.
What is the best way to correct this, can we change the constraint rule?
SQLSTATE(23000): Integrity constraint violation:
1062 ALTER TABLE causes auto_increment resequencing,
resulting in duplicate entry ‘2147483647’ for key ‘PRIMARY’,
query was: ALTER TABLE catalog_product_entity_varchar MODIFY COLUMN
value_id int(11) NOT NULL AUTO_INCREMENT COMMENT “Value ID”
Thanks so much.
Tony
I have been trying to find the computational complexity of my optimization problem and found that it is Np-Hard. To prove it to Np-Hard, I try reducing it Nurse Scheduling Problem. I am quite confused with the idea during the reduction. Does having a similar constraint in my problem and NSP means that both problems are the same and have a solution already?
My problem:
We have a set of classes, and each class has a set of timing associated with a penalty. We have hard and soft constraints where every soft constraint violation. We have to schedule classes to timing such that the sum of all penalties is reduced.
We just have a hard constraint stating: Two classes cannot be scheduled at the same time of day and week (overlap constraints).
Here is the link to the nurse scheduling problem: Nurse Scheduling problem and they have a constraint stating: Two nurses dislike each other and thus cannot work on the same shift because of that.
I have to question:
Does this make my problem the same as the NSP problem?
Does my approach of reduction to NP-HARD is wrong? If yes, where did I go wrong? Is there any similar problem that I can use for reduction?
Can someone please help me with this?
Let $underline{x},underline{y}$ and $underline{z}$ be three sets of integer variables and let the relations be
$$A[underline{x},underline{y}]’leq b$$
$$B[underline{y},underline{z}]’leq c.$$
Rewriting in terms of $underline{y}$ we get
$$A_{mbox{left}}underline{x}+b_{mbox{left}}lequnderline{y}leq A_{mbox{right}}underline{x}+b_{mbox{right}}$$
$$B_{mbox{left}}underline{z}+c_{mbox{left}}lequnderline{y}leq B_{mbox{right}}underline{z}+c_{mbox{right}}.$$
Is it right to state the relations between $underline{x}$ and $underline{z}$ are
$$A_{mbox{left}}underline{x}+b_{mbox{left}}leq A_{mbox{right}}underline{x}+b_{mbox{right}}$$
$$B_{mbox{left}}underline{z}+c_{mbox{left}}leq B_{mbox{right}}underline{z}+c_{mbox{right}}?$$
And so by eliminating $underline{y}$ we get
$$C[underline{x},underline{z}]leq d$$
where the number of rows is $C$ is bound above in terms of the product of number of rows in $A$ and $B$.
Is it correct eliminating common variables grows the number of variables multiplicatively?
Is it possible to get the original entity in a constraint?
Use case: create a constraint on which item can be deleted in a multi value field
Is there a way to represent a constraint, where i prevent date range overlaps, but only when a column equals a specific value? So i can have zero or many inactive, but only ever one active?
Im running into a problem where i need a gist constraint to check date range overlaps but only if a column equals a specific value (‘active’ in this case).
We have a table which has dates and there can be overlap, if a column equals a specific value (active can only ever have one, but inactive can be zero or many).
GIST seems to be able to say prevent any duplicate (2 active, but also excludes 1 active, 1 inactive, or inactive > 1).
Putting this in two constraints fails, because the gist only covers the range overlap and join id.
e.g.
ALTER TABLE "a_table" ADD CONSTRAINT "CHK_some_name" EXCLUDE USING gist ("a_join_id" WITH =, tstzrange("start_time", "end_time") WITH &&)
ALTER TABLE "a_table" ADD CONSTRAINT "CHK_some_name" EXCLUDE USING gist ("an_enum" with =, "a_join_id" WITH =, tstzrange("start_time", "end_time") WITH &&)
Any help/insight would be greatly appreciated
Looking into synchronizing tables in a database across multiple servers using a DML method like MERGE, only to realize that some of the largest tables that take up the majority of the total size of the database do not have a primary key or unique constraint and therefore have duplicate data. As a result, doing a MERGE results in a full table scan, which explodes tempdb. For business reasons, I cannot alter the table structure or data itself.
Is there a way to copy these tables on a routine basis other than backing up and restoring the entire database?
I want to scrape a table from a website and synchronize the data into my own database i.o. to detect whenever there is a new entry available. The table has a timestamp column which tells me when the new record was created.
However, I have different tables for multiple objects so in order to know if there is a new entry, I’d need a unique-constraint on (object_id, timestamp):
object_id | timestamp | value
------------------------------------------
1 | 2021-01-01 00:00:00 | 100 <--|
1 | 2021-01-02 00:00:00 | 101 | error: have an
1 | 2021-01-03 00:00:00 | 102 | equal timestamp
1 | 2021-01-01 00:00:00 | 103 <--|
2 | 2021-01-10 00:00:00 | 1002
2 | 2021-01-12 00:00:00 | 1003
It feels a bit odd to have such a unique-constraint so I was wondering if this is the only (or best) way I could do this?
In QuickSort Algorithm, the pivot is chosen as the first element or a randomised element. However, if the range of data to be sorted is known, For example, from 1 to 100, and they are mostly equally distributed, then, the best choice for first pivot would be 50, even if it’s not present in the array, then, for left sub-array the best pivot would be 25 and for right sub-array it would be 75, and so on.
Is there a better sorting algorithm for such distributed data in a given range? Will such QuickSort be more efficient than any other Algorithm for such data?
I am trying to get my head around the Pumping Lemma to prove a language is non-regular.
I am reading the Sipser text book and he gives the following example.
Let B be the language ${0^n 1^n | n ge 0}$
Let $s = 0^p 1^p$
I understand that the idea is you can split this string into xyz such that y can be pumped. It is the constraint of $|xy| le p$ that is confusing me.
Sipser notes that due to this constraint y could not equal 01 nor could it equal 1. Why would y equaling either of those values violate the given constraint.
I am generally quite confused by the Pumping Lemma so any general advice or good resources you can recommend, I would appreciate.
Thanks!
