partition – Postgresql updates a partitioned table, where the update affects several partitions

If I have a partitioned partitioned table in the PKey column, can I update (or merge, etc.) the table like the one shown below (or more complex jonining to another table) that will cause multiple partitions to be modified?
If yes, does it depend on which version of postgresql?

Partitioned tables

PKey SomeOtherValue
1 10
1 11
2 10
2 11
3 11


UPDATE Partitioned tables
SET SomeOtherValue = SomeOtherValue + 1
WHERE ANY OTHER VALUE> 10

Ubuntu 19 can not see my Windows 10 partitioned drive See C: but mot partition D:

Ubuntu 19 is installed, but can not see partition D:. When I use Fdisk -l ve / dev / sdb5, when I try to mount it, a warning message appears stating that no unit exists.

SQL server: create a primary key grouped in a partitioned table

I have a table that has recently been partitioned based on a date and time column. The same table had a primary key (grouped) in the ID column. During partition of the table, the primary key is deleted. Again after the partition, when I tried to create the primary key (grouped) again, it was created without any errors. But to my surprise when I checked the table, the partition was removed. Therefore, when researching more about this, I discovered that when we create a new index grouped in a partitioned table, the partition disappears.

Can someone help me create a primary key grouped in the partitioned table, since the non-clustered primary key is degrading performance?

bootcamp: the boot disk can not be partitioned or restored in a single partition. Windows 10 and Mojave iMac Fusion Drive

The boot disk can not be partitioned or restored in a single partition.

The startup disk must be formatted as a single extended Mac OS volume (registered) or already partitioned by Boot Camp Assistant to install Windows.

I had installed Windows 10 through bootcamp on my mac. The current version is 10.14.2

I received a strange blue screen error and repaired the windows. After the repair, the wizard and Boot Camp tools were not installed, so it is only a copy of Windows without Boot Camp assistance. I would like to erase that volume and try again, but the boot camp wizard will not erase the unit.

This is the output of the diskutil list.

enter the description of the image here

And here is the output of diskutil cs list.

enter the description of the image here

Please, can anyone help me? I would follow the advice given on this site regarding this problem, but my fusion unit problem is a bit different.

c # – Inconsistent queries in a partitioned CosmosDB collection

I have a partitioned cosmos database collection that is defined as unlimited with a throughput of 1000. It has the following document structure:

"Id": "b42129d2-5467-450c-9f7e-744f78dfe1e7", // Main key
"ArrayOfObjects":

The
{
// other properties omitted for brevity
"SubId": "ed2a49fb-51d4-45b4-9690-df0721d6a32f"
}
{
"SubId": "35c87833-9bea-4151-86da-4d9c482ae1fe"
}
"ParitionKey": "b42"

The partition key is the first 3 letters of the primary key that is a GUID. This gives me 32768 possible partitions with good cardinality. I am using the CosmosDB .NetCore SDK. Currently there are ~ 170 thousand documents in ~ 6 thousand partitions.

I have a functionality where I need to recover a document from the collection through a "SubId" where I do not know the main key, which means that I do not know the partition key. Unfortunately, I can not change this functionality to work with a primary key, since its dependency is a legacy system that can not be modified.

What happens is that I successfully create a new document, then, at some point, I need to consult that document using a "SubDI". What is done in C # as follows:

Public asynchronous task GetBySubId (string subId)
{
var collectionId = _cosmosClient.CollectionId;
var query = $ @ "SELECT * FROM {collectionId} c
WHERE ARRAY_CONTAINS (c.ArrayOfObjects, {{& # 39; SubId & # 39 ;: & # 39; {subId} & # 39;}}, true) ";

var feedOptions = new FeedOptions {EnableCrossPartitionQuery = true};

var docQuery = _cosmosClient.Client.CreateDocumentQuery (
_collectionUri,
query,
feedOptions)
.AsDocumentQuery ();

var executQuery = awaits docQuery.ExecuteNextAsync();

if (ExecutedQuery.Count == 0)
{
zero return
}

return ExecutedQuery.FirstOrDefault ();
}

Sometimes, consult correctly, sometimes not, and return null, then from my controller I return a 404.

The reason why this is so strange is because if I check the database and execute that query directly, the document is there and it does not really lack, but for some reason when I make a query from C # with the SDK, it can not find The document. I have another functionality that I query using the primary key (which now means that I have the partition key) and the SubId and that works fine. Only when I ask using the SubId alone (without the partition key) can not find the document.

Taking into account the above, I think it has something to do with the query without the partition key. Anything I need to consult without a partition key?

What I have tried at this time is to establish the consistency of the database from Eventual to Strong. This does not seem to make any difference.

hard drive – Bootcamp error: the boot disk can not be partitioned or restored in a single partition

Previously, I tried to install a Windows 10 Boot Camp installation, but there was an error and I was deleting the partitions that it created, but I accidentally closed the window and now I have an additional partition.

When I run diskutil list, this is what I get:

enter the description of the image here

For your information, this is a 13-inch MacBook Pro (base model) with Mojave 10.14.1.
What can I do to get my disk back to normal (only with the installation of Macos)?

oracle: with the partitioned table, how can I use suggestions to group each partition separately?

The database does this by default, no suggestions / adjustments are needed.

create data from the table (partitioned_key_index number, some_dummy_measure number)
partition by list (partitioned_key_index)
(
partition p1 values ​​(1),
partition p2 values ​​(2),
partition p3 values ​​(3),
partition p4 values ​​(4),
partition p5 values ​​(5)
);

insert in data with g as (select * of dual connection per level <= 1000)
select mod (rownum, 5) + 1, rownum of g, g where rownum <= 500000;
commit;

Then, execute the query:

alter the session set statistics_level = all;

select partitioned_key_index, sum (some_dummy_measure) of the data
group by partitioned_key_index;


PARTITIONED_KEY_INDEX SUM (SOME_DUMMY_MEASURE)
--------------------- -----------------------
1 25000250000
2 24999850000
3 24999950000
4 25000050000
5 25000150000

Check what happened:

SQL> select * from table (dbms_xplan.display_cursor (format => & # 39; allstats last & # 39;));

PLAN_TABLE_OUTPUT
-------------------------------------------------- -------------------------------------------------- -------------
SQL_ID 537qapda9hdy4, child number 0
-------------------------------------
select partitioned_key_index, sum (some_dummy_measure) of the data group
by partitioned_key_index

Plan hash value: 3405952922

-------------------------------------------------- -------------------------------------------------- -------------
| Id | Operation | Name | Start | E-Rows | A-Rows | A-Time | Tampons | OMem | 1Mem | Used-Mem |
-------------------------------------------------- -------------------------------------------------- -------------
| 0 | SELECT DECLARATION | | 1 | | 5 | 00: 00: 00.14 | 1065 | | | |
| 1 | LIST OF PARTITIONS ALL | | 1 | 585K | 5 | 00: 00: 00.14 | 1065 | | | |
| 2 | HASH GROUP BY | | 5 | 585K | 5 | 00: 00: 00.14 | 1065 | 34M | 6473K | 738K (0) |
| 3 | FULL ACCESS TABLE | DATA | 5 | 585K | 500K | 00: 00: 00.06 | 1065 | | | |
-------------------------------------------------- -------------------------------------------------- -------------

Note
-----
- Dynamic sampling used for this statement (level = 2)

Operations below ALL PARTITIONS LIST They were made for all partitions. We have 5 partitions, including the GROUP BY. As you can see in the Starts column, HASH GROUP BY It was really done 5 times.

This is how it looks, when GROUP BY It is done for the whole table at the same time:

select (partitioned_key_index + 0), sum (some_dummy_measure) of the data
group by (partitioned_key_index + 0);

(PARTITIONED_KEY_INDEX + 0) SUM (SOME_DUMMY_MEASURE)
------------------------- -----------------------
1 25000250000
2 24999850000
5 25000150000
4 25000050000
3 24999950000

SQL> select * from table (dbms_xplan.display_cursor (format => & # 39; allstats last & # 39;));

PLAN_TABLE_OUTPUT
-------------------------------------------------- -------------------------------------------------- -------------------------------------------------- -------------------------------------------------- --------------------
SQL_ID 2xxf42mtp53sc, child number 0
-------------------------------------
select (partitioned_key_index + 0), sum (some_dummy_measure) of the data
group by (partitioned_key_index + 0)

Plan hash value: 3651737839

-------------------------------------------------- -------------------------------------------------- -------------
| Id | Operation | Name | Start | E-Rows | A-Rows | A-Time | Tampons | OMem | 1Mem | Used-Mem |
-------------------------------------------------- -------------------------------------------------- -------------
| 0 | SELECT DECLARATION | | 1 | | 5 | 00: 00: 00.24 | 1065 | | | |
| 1 | HASH GROUP BY | | 1 | 585K | 5 | 00: 00: 00.24 | 1065 | 34M | 6473K | 4574K (0) |
| 2 | LIST OF PARTITIONS ALL | | 1 | 585K | 500K | 00: 00: 00.14 | 1065 | | | |
| 3 | FULL ACCESS TABLE | DATA | 5 | 585K | 500K | 00: 00: 00.06 | 1065 | | | |
-------------------------------------------------- -------------------------------------------------- -------------

Note
-----
- Dynamic sampling used for this statement (level = 2)


20 selected rows

HASH GROUP BY it was done only once, for the entire amount of data, after it was collected from all the partitions.