/*
problem: Trying to get partitioned views to "prune" unneeded
partitions from
select statements against the partitioned view. There are 5
partitioned
tables. Each with a check constraint based on a range of formula_id
column.
Test: Run this script to create the 5 partitioned tables and the
partitioned view. Then
run the explain plans on the select statements at the end of the
script and see that we
can only prune if we give a seemingly superfluous is not null
criteria in addition to
the formula_id.
Ideal: We want to only have to use the formula_id in the select
statement to prune.
*/
/*note: you may get errors on the drops first time run*/
drop table dbo.cs_working_e2
go
CREATE TABLE dbo.cs_working_e2 (
formula_id int NOT NULL
CONSTRAINT formula_id_e14
CHECK (formula_id between 1
and 1000),
submission_id int NOT NULL,
node_id int NOT NULL,
reference_year smallint NOT NULL,
observation_period datetime NOT NULL,
authority_flag tinyint NOT NULL
CONSTRAINT ONE_DEFAULT3436
DEFAULT 1
CONSTRAINT Binary_flag_rule667
CHECK (authority_flag IN
(0, 1)),
interpolated_flag tinyint NOT NULL
CONSTRAINT ZERO_DEFAULT6926
DEFAULT 0
CONSTRAINT Binary_flag_rule668
CHECK (interpolated_flag IN
(0, 1)),
observation_value decimal_datatype NOT NULL,
time_created smalldatetime NOT NULL
CONSTRAINT
CURRENT_DATE_DEFAULT1807
DEFAULT getdate(),
CONSTRAINT XPKcs_working_e2
PRIMARY KEY NONCLUSTERED (formula_id, submission_id,
node_id, reference_year, observation_period)
--ON "INDEXES"
)
--ON "WORKING"
go
CREATE UNIQUE CLUSTERED INDEX XAK1cs_working_e2 ON dbo.cs_working_e2
(
submission_id ASC,
formula_id ASC,
node_id ASC,
authority_flag ASC,
observation_period ASC,
reference_year ASC,
observation_value ASC
)
go
CREATE INDEX XIE1cs_working_e2 ON dbo.cs_working_e2
(
node_id ASC,
authority_flag ASC,
formula_id ASC,
observation_period ASC,
reference_year ASC,
observation_value ASC
)
--ON "INDEXES"
go
drop table dbo.cs_working_indexes2
go
CREATE TABLE dbo.cs_working_indexes2 (
formula_id int NOT NULL
CONSTRAINT formula_id_indexes14
CHECK (formula_id between
7001 and 9000),
submission_id int NOT NULL,
node_id int NOT NULL,
reference_year smallint NOT NULL,
observation_period datetime NOT NULL,
authority_flag tinyint NOT NULL
CONSTRAINT ONE_DEFAULT3437
DEFAULT 1
CONSTRAINT Binary_flag_rule669
CHECK (authority_flag IN
(0, 1)),
observation_value decimal_datatype NOT NULL,
interpolated_flag tinyint NOT NULL
CONSTRAINT ZERO_DEFAULT6927
DEFAULT 0
CONSTRAINT Binary_flag_rule670
CHECK (interpolated_flag IN
(0, 1)),
time_created smalldatetime NOT NULL
CONSTRAINT
CURRENT_DATE_DEFAULT1808
DEFAULT getdate(),
CONSTRAINT XPKcs_working_indexes2
PRIMARY KEY NONCLUSTERED (formula_id, submission_id,
node_id, reference_year, observation_period)
--ON "INDEXES"
)
--ON "WORKING"
go
CREATE UNIQUE CLUSTERED INDEX XAK1cs_working_indexes2 ON
dbo.cs_working_indexes2
(
submission_id ASC,
formula_id ASC,
node_id ASC,
authority_flag ASC,
observation_period ASC,
reference_year ASC,
observation_value ASC
)
go
CREATE INDEX XIE1cs_working_indexes2 ON dbo.cs_working_indexes2
(
node_id ASC,
authority_flag ASC,
formula_id ASC,
observation_period ASC,
reference_year ASC,
observation_value ASC
)
--ON "INDEXES"
go
drop table dbo.cs_working_other2
go
CREATE TABLE dbo.cs_working_other2 (
formula_id int NOT NULL
CONSTRAINT formula_id_other14
CHECK (formula_id >= 9001),
submission_id int NOT NULL,
node_id int NOT NULL,
reference_year smallint NOT NULL,
observation_period datetime NOT NULL,
authority_flag tinyint NOT NULL
CONSTRAINT ONE_DEFAULT3438
DEFAULT 1
CONSTRAINT Binary_flag_rule671
CHECK (authority_flag IN
(0, 1)),
observation_value decimal_datatype NOT NULL,
interpolated_flag tinyint NOT NULL
CONSTRAINT ZERO_DEFAULT6928
DEFAULT 0
CONSTRAINT Binary_flag_rule672
CHECK (interpolated_flag IN
(0, 1)),
time_created smalldatetime NOT NULL
CONSTRAINT
CURRENT_DATE_DEFAULT1809
DEFAULT getdate(),
CONSTRAINT XPKcs_working_other2
PRIMARY KEY NONCLUSTERED (formula_id, submission_id,
node_id, reference_year, observation_period)
--ON "INDEXES"
)
--ON "WORKING"
go
CREATE UNIQUE CLUSTERED INDEX XAK1cs_working_other2 ON
dbo.cs_working_other2
(
submission_id ASC,
formula_id ASC,
node_id ASC,
authority_flag ASC,
observation_period ASC,
reference_year ASC,
observation_value ASC
)
go
CREATE INDEX XIE1cs_working_other2 ON dbo.cs_working_other2
(
node_id ASC,
authority_flag ASC,
formula_id ASC,
observation_period ASC,
reference_year ASC,
observation_value ASC
)
--ON "INDEXES"
go
drop table dbo.cs_working_p1q12
go
CREATE TABLE dbo.cs_working_p1q12 (
formula_id int NOT NULL
CONSTRAINT formula_id_p1q114
CHECK (formula_id between
3001 and 7000),
submission_id int NOT NULL,
node_id int NOT NULL,
reference_year smallint NOT NULL,
observation_period datetime NOT NULL,
authority_flag tinyint NOT NULL
CONSTRAINT ONE_DEFAULT3439
DEFAULT 1
CONSTRAINT Binary_flag_rule673
CHECK (authority_flag IN
(0, 1)),
interpolated_flag tinyint NOT NULL
CONSTRAINT ZERO_DEFAULT6929
DEFAULT 0
CONSTRAINT Binary_flag_rule674
CHECK (interpolated_flag IN
(0, 1)),
observation_value decimal_datatype NOT NULL,
time_created smalldatetime NOT NULL
CONSTRAINT
CURRENT_DATE_DEFAULT1810
DEFAULT getdate(),
CONSTRAINT XPKcs_working_p1q12
PRIMARY KEY NONCLUSTERED (formula_id, submission_id,
node_id, reference_year, observation_period)
--ON "INDEXES"
)
--ON "WORKING"
go
CREATE UNIQUE CLUSTERED INDEX XAK1cs_working_p1q12 ON
dbo.cs_working_p1q12
(
submission_id ASC,
formula_id ASC,
node_id ASC,
authority_flag ASC,
observation_period ASC,
reference_year ASC,
observation_value ASC
)
go
CREATE INDEX XIE1cs_working_p1q12 ON dbo.cs_working_p1q12
(
node_id ASC,
authority_flag ASC,
formula_id ASC,
observation_period ASC,
reference_year ASC,
observation_value ASC
)
--ON "INDEXES"
go
drop table dbo.cs_working_pq2
go
CREATE TABLE dbo.cs_working_pq2 (
formula_id int NOT NULL
CONSTRAINT formula_id_pq14
CHECK (formula_id between
1001 and 3000),
submission_id int NOT NULL,
node_id int NOT NULL,
reference_year smallint NOT NULL,
observation_period datetime NOT NULL,
authority_flag tinyint NOT NULL
CONSTRAINT ONE_DEFAULT3440
DEFAULT 1
CONSTRAINT Binary_flag_rule675
CHECK (authority_flag IN
(0, 1)),
interpolated_flag tinyint NOT NULL
CONSTRAINT ZERO_DEFAULT6930
DEFAULT 0
CONSTRAINT Binary_flag_rule676
CHECK (interpolated_flag IN
(0, 1)),
observation_value decimal_datatype NOT NULL,
time_created smalldatetime NOT NULL
CONSTRAINT
CURRENT_DATE_DEFAULT1811
DEFAULT getdate(),
CONSTRAINT XPKcs_working_pq2
PRIMARY KEY NONCLUSTERED (formula_id, submission_id,
node_id, reference_year, observation_period)
--ON "INDEXES"
)
--ON "WORKING"
go
CREATE UNIQUE CLUSTERED INDEX XAK1cs_working_pq2 ON
dbo.cs_working_pq2
(
submission_id ASC,
formula_id ASC,
node_id ASC,
authority_flag ASC,
observation_period ASC,
reference_year ASC,
observation_value ASC
)
go
CREATE INDEX XIE1cs_working_pq2 ON dbo.cs_working_pq2
(
node_id ASC,
authority_flag ASC,
formula_id ASC,
observation_period ASC,
reference_year ASC,
observation_value ASC
)
--ON "INDEXES"
go
----- create view ---------
drop view cs_working2
go
CREATE VIEW cs_working2 (submission_id, node_id, reference_year,
observation_period, formula_id, observation_value, interpolated_flag,
time_created, authority_flag) AS
SELECT we.submission_id, we.node_id, we.reference_year,
we.observation_period, we.formula_id, we.observation_value,
we.interpolated_flag, we.time_created, we.authority_flag
FROM cs_working_e2 we
union all
SELECT wo.submission_id, wo.node_id, wo.reference_year,
wo.observation_period, wo.formula_id, wo.observation_value,
wo.interpolated_flag, wo.time_created, wo.authority_flag
FROM cs_working_other2 wo
union all
SELECT wpq.submission_id, wpq.node_id, wpq.reference_year,
wpq.observation_period, wpq.formula_id, wpq.observation_value,
wpq.interpolated_flag, wpq.time_created, wpq.authority_flag
FROM cs_working_pq2 wpq
union all
SELECT wp1q1.submission_id, wp1q1.node_id, wp1q1.reference_year,
wp1q1.observation_period, wp1q1.formula_id, wp1q1.observation_value,
wp1q1.interpolated_flag, wp1q1.time_created, wp1q1.authority_flag
FROM cs_working_p1q12 wp1q1
union all
SELECT wi.submission_id, wi.node_id, wi.reference_year,
wi.observation_period, wi.formula_id, wi.observation_value,
wi.interpolated_flag, wi.time_created, wi.authority_flag
FROM cs_working_indexes2 wi
go
--- sample selects against partitioned view -----
/*
--run explain plan here and see all 5 partitions being pulled
select * from cs_working
--run explain plan here and see just the 1 partition
select * from cs_working_e2
--run explain plan and see this is not pruning to the needed partition
select * from cs_working
where formula_id = 1
--run explain plan and see it is now pruning to the needed partition
select * from cs_working
where formula_id = 1
and submission_id is not null
--run explain plan and see it is now pruning to the needed partition,
too
select * from cs_working
where formula_id = 1
and observation_value is not null
*/
I've starting to explore the Distributed Partitoned Views, in order to use it in the next project, and I've found the article: "MS SQL Server Distributed Partitioned Views" By Don Schlichting
I came across the following problem: While running sample: USE test GO
CREATE VIEW AllAuthors AS
SELECT * FROM AuthorsAM, TEST1.test.dbo.AuthorsNZ
GO
I got the error message: Server: Msg 4506, Level 16, State 1, Procedure AllAuthors, Line 5 Column names in each view or function must be unique. Column name 'au_lname' in view or function 'AllAuthors' is specified more than once.
Could anyone please explain? Can't i use the same column names in both tables?
I would like to break up a very large table into about ten smaller ones. With partitioning to be efficient the columns in the check constraint need to be used when accessing the view. The problem is the table has a composite primary key made up of LocationID/ProductID. With another composite index on ProductID/LocationID. This is accessed both ways from our applications.
I would like to partition the table by LocationID. But then when called by ProductID a scan of all tables in the view would have to be done.
In Oracle there is something called a global index that would solve this. Is there anything similar in SQL Server or does anybody have a work around?
Hello,I have a large set of data that I have set up as a partitioned view.The view is partitioned by a datetime column and the individual tableseach represent one month's worth of data. I need to keep at least twoyear's worth of data at all times, but after two years I can archivethe data. A sample of the code used is below. It is simplified forspace reasons.My question is, how do other people maintain the database in this typeof scenario? I could create all of the tables necessary for the nextyear and then go through that at the end of each year (archive tablesover two years, add new tables, and change the view), but I was alsothinking that I might be able to write a stored procedure that runsonce a month and does all three of those tasks automatically. It seemslike a lot of dynamic SQL code though for something like that.Alternatively, I could write VB code to handle it in a DTS package.So, my question again is, how are others doing it? Any suggestions?Thanks!-Tom.CREATE TABLE [dbo].[Station_Events_200401] ([event_time] [datetime] NOT NULL ,[another_column] [char] (8) NOT NULL )GOCREATE TABLE [dbo].[Station_Events_200402] ([event_time] [datetime] NOT NULL ,[another_column] [char] (8) NOT NULL )GOCREATE VIEW Station_EventsASSELECT event_time,another_columnFROM Station_Events_200401UNION ALLSELECT event_time,another_columnFROM Station_Events_200402GO
Hi everyone, I have some doubts about distributed partitioned views. When we create a distributed partitioned view whcih include three server, do we have tocreate this same distributed partitioned view in that three server in order to make each server to see adn especially modify it ?
Hi, I am using sql2000 ent edition. I have a partitioned view based on 8 tables. My selects and inserts are fine. But, when I run a delete on the view based on a query on the paritioned column, I get a "Transaction (Process ID 149) was deadlocked and has been chosen as a victim". I looked at the query plan and it was showing a parallel query on all the underlying tables. So, I put the Option(maxdop 1), using only one processor and the delete worked fine.
Does anybody know why? is parallel query create deadlocks? is there any known problems with deletes on partitioned views? same question for updates. I think I have the same problem for updates.
CHECK constraints are not needed for the partitioned view to return the correct results. However, if the CHECK constraints have not been defined, the query optimizer must search all the tables instead of only those that cover the search condition on the partitioning column. Without the CHECK constraints, the view operates like any other view with UNION ALL. The query optimizer cannot make any assumptions about the values stored in different tables and it cannot skip searching the tables that participate in the view definition.
Then why am I getting index scans on my partitioning column on tables that fail the search value based on their check constraint?
Not looking for an answer because I know the query optimizer is a fickle b*tch and I did not post any code, but I needed to rant.
SQL 2008R2, Standard on Windows 2008R2 Enterprise.I have implemented a set of local partitioned views to facilitate multi-threading in one of our applications.Testing with SQL and the insert, update, Delete all work fine. However the inserts from SSIS are Bulk and then fail.According to all I have read I should be able to add "instead of Trigger" for the insert and it should work fine. URL....
I have created instead of triggers for insert and delete and again they work fine when I test them with T-SQL but fail in the SSIS package. The error message is that the view is not updateable.
I have a partitioned view sitting over several tables and I'm slowlyapproaching the 256 number. Can anybody confirm if there is such alimit for the maximum number of tables that a partitioned view canhold?If this is true, does anybody have any suggestions or ideas to workaround this max limit?TIA!
I'm trying to do some researh on the use of SQL's DPV. I'm looking for feedback from people who've actually done this production to know more about the design challenges and level of added administration required. Any information will be much appreciated. Thanks.
We have are SQL 2014 Standard edition, I have a situation where-in I plan to partition a table now since table partition is not supported in standard version I thought about Partitioned views however now I am stuck where I cant make the view writable because of the identity column in the base table.
My database's design is set out here. In summary, I'm trying to model a Stock Exchange for a Technical Analysis application written using Visual C++. In order to create the hierachy I'm using a Nested Set Model. I'm now trying to write code to add and delete equities (or, more generically, nodes) to the database using a form presented to the user in my application. I have example SQL code to create the necessary add and delete procedures that calculate the changes to the values in the lft and rgt columns, but these examples focus around a single table, where as my design aggregates rows from multiple tables using UNION ALL:
Code Snippet CREATE VIEW vw_NSM_DBHierarchy -- Nested Set Model Database Hierarchy AS SELECT clmStockExchange, clmLeft, clmRight FROM tblStockExchange_ UNION ALL SELECT clmMarkets, clmLeft, clmRight FROM tblMarkets_ UNION ALL SELECT clmSectors, clmLeft, clmRight FROM tblSectors_ UNION ALL SELECT clmEPIC, clmLeft, clmRight FROM tblEquities_
Essentially, I'm trying to create an updateable view but I receive the error "UNION ALL View is not updatable because a partitioning column was not found". I suspect that my design in wrong or lacks and this problem is highlighting the design flaws so any suggestions would be greatly appreciated.
I've been using partitioned views in the past and used the check constraint in the source tables to make sure the only the table with the condition in the where clause on the view was used. In SQL Server 2012 this was working just fine (I had to do some tricks to suppress parameter sniffing, but it was working correct after doing that). Now I've been installing SQL Server 2014 Developer and used exactly the same logic and in the actual query plan it is still using the other tables. I've tried the following things to avoid this:
- OPTION (RECOMPILE) - Using dynamic SQL to pass the parameter value as a static string to avoid sniffing.
To explain wat I'm doing is this:
1. I have 3 servers with the same source tables, the only difference in the tables is one column with the server name. 2. I've created a CHECK CONSTRAINT on the server name column on each server. 3. On one of the three server (in my case server 3) I've setup linked server connections to Server 1 and 2. 4. On Server 3 I've created a partioned view that is build up like this:
SELECT * FROM [server1].[database].[dbo].[table] UNION ALL SELECT * FROM [server2].[database].[dbo].[table] UNION ALL SELECT * FROM [server3].[database].[dbo].[table]5. To query the partioned view I use a query like this:
SELECT * FROM [database].[dbo].[partioned_view_name] WHERE [server_name] = 'Server2'
Now when I look at the execution plan on the 2014 environment it is still using all the servers instead of just Server2 like it should be. The strange thing is that SQL 2008 and 2012 are working just fine but 2014 seems not to use the correct plan.
I have some Partitioned Views and on all queries using a table for the in clause, table elimination isn't happening.
Check Constraint is on the oid column
This works as expected, only goes to 2 tables; SELECT * FROM view_oap_all WHERE oid IN ( '05231416529481', '06201479586431' )
This works as expected, only goes to 2 tables; SELECT * FROM view_oap_all WHERE oid IN ( SELECT oid FROM owners WHERE oid IN ( '05231416529481', '06201479586431' ) )
This is checking all tables (headingnames are unique), ive tried this for the last 3 hours on many different tables containing the oid column.
Unless I write the oid as in the above queries it just doesn't work. SELECT * FROM view_oap_all WHERE oid IN ( SELECT oid FROM owners WHERE headingname = 'TestSystem' )
I have a few databases that are using Partitioned Views in order to manage the table sizes and they all work well for our purposes. Recently I noticed a table that had grown to 400+ million rows and want to partition it as well, so I went about creating new base tables based on the initial table's structure, just adding a column to both table and primary key to be able to build a Partitioned View on them.The first time around, on a test system, everything worked flawlessly but when I put the same structure in place on the production system I get the dreaded "UNION ALL view 'DBName.dbo.RptReportData' is not updatable because the primary key of table '[DBName].[dbo].[RptReportData_201405]' is not included in the union result. [SQLSTATE 42000] (Error 4444)" error.
I have searched high and low and everything I see points to a few directives in order for a UNION ALL view to be updatable:
- Need a partitioning column that is part of the primary key - Need a CHECK constraint that make the base tables exclusive, i.e. data cannot belong to more than one table - Cannot have IDENTITY or calculated columns in the base tables - The INSERT statement needs to specify all columns with actual values, i.e. not DEFAULT
Well, according to me, my structure fulfills these conditions but the INSERT fails anyway. CREATE scripts below scripted from SQL Server. I only modified them to be on a single row - it is easier to verify that they are identical in a text editor that way.
SET ANSI_NULLS ON GO SET QUOTED_IDENTIFIER ON GO SET ANSI_PADDING ON GO
I want to find a way to get partition info for all the tables in all the databases for a server. Showing database name, table name, schema name, partition by (maybe; year, month, day, number, alpha), column used in partition, current active partition, last partition (for date partitions I want to know if the partition goes untill 2007, so I can add 2008)
all I've come up with so far is:
Code Block
SELECT distinct o.name From sys.partitions p inner join sys.objects o on (o.object_id = p.object_id) where o.type_desc = 'USER_TABLE' and p.partition_number > 1
Fellow database developers,I would like to draw on your experience with views. I have a databasethat includes many views. Sometimes, views contains other views, andthose views in turn may contain views. In fact, I have some views inmy database that are a product of nested views of up to 6 levels deep!The reason we did this was.1. Object-oriented in nature. Makes it easy to work with them.2. Changing an underlying view (adding new fields, removing etc),automatically the higher up views inherit this new information. Thismake maintenance very easy.3. These nested views are only ever used for the reporting side of ourapplication, not for the day-to-day database use by the application.We use Crystal Reports and Crystal is smart enough (can't believe Ijust said that about Crystal) to only pull back the fields that arebeing accessed by the report. In other words, Crystal will issue aSelect field1, field2, field3 from ReportingView Where .... eventhough "ReportingView" contains a long list of fields.Problems I can see.1. Parent views generally use "Select * From childview". This meansthat we have to execute a "sp_refreshview" command against all viewswhenever child views are altered.2. Parent views return a lot of information that isn't necessarilyused.3. Makes it harder to track down exactly where the information iscoming from. You have to drill right through to the child view to seethe raw table joins etc.Does anyone have any comments on this database design? I would love tohear your opinions and tales from the trenches.Best regards,Rod.
Newbie here. I've only been using SQL for about a year now and have some minor questions about sql objects that reference other objects.
We have some views which reference other views in the joins. I will call one the primary view and the one being referenced in the joins as the secondary view.
Recently we made changes to the secondary view.
After which the primary views which referenced it would not work because of this change and had to be 'refreshed' by using drop/create scripts which essentially just dropped it and recreated the exact same view. I do not recall the exact error message that was returned other than it seemed to suggest that it could no longer see the secondary view since it had been changed. Nothing in the primary view was changed in any way, just the secondary.
Some here where I work have suggested off hand that this was a recompile of the primary view because the contents of the secondary changed.
My questions are:
1. Exactly why did this happen and is there a proper name for it when it does?
2. The same problem does not seem to occur when we have stored procedures referencing views in the joins which had just been changed. Why is that?
Thanks for any help on the matter. I greatly appreciate it.
Hi! This is my first post and I really need help with Partitioned View. I'm using Sql Server 2000 and I created a partitioned view using 6 tables and now a need to create the table '7' and alter the view. But when i'm trying to insert new data i'm receiving the message: :eek: "Server: Msg 4416, Level 16, State 5, Line 1 UNION ALL view 'tb_sld_cob_pap' is not updatable because the definition contains a disallowed construct."
My code is:
drop VIEW tb_sld_cob_pap GO CREATE TABLE dbo.tb_sld_cob_pap_7 ( cod_operacao int NOT NULL , cod_contrato int NOT NULL , sequencial_duplicata int NOT NULL , data_sld_pap smalldatetime NOT NULL CHECK ([data_sld_pap] >= '20060201'), liqex_dia_nom_outros float NULL , liqex_dia_moe_outros float NULL, constraint pk_pap7 primary key (cod_operacao,cod_contrato,sequencial_duplicata,da ta_sld_pap) ) GO CREATE INDEX IdxSldCobPap7_1 ON dbo.tb_sld_cob_pap_7(cod_titulo, seq_titulo, data_sld_pap) GO
CREATE INDEX IdxSldCobPap7_2 ON dbo.tb_sld_cob_pap_7(cod_operacao, seq_ctr_sacado, sequencial_duplicata, data_sld_pap) GO
ALTER TABLE dbo.tb_sld_cob_pap_6 DROP CONSTRAINT CK__tb_sld_co__data___6C190EBB GO
ALTER TABLE dbo.tb_sld_cob_pap_6 ADD CONSTRAINT CK__tb_sld_co__data___6C190EBB CHECK (((([data_sld_pap] >= '20051201') and ([data_sld_pap] < '20060201')))) GO
create VIEW tb_sld_cob_pap as select * from tb_sld_cob_pap_1 union all select * from tb_sld_cob_pap_2 union all select * from tb_sld_cob_pap_3 union all select * from tb_sld_cob_pap_4 union all select * from tb_sld_cob_pap_5 union all select * from tb_sld_cob_pap_6 union all select * from tb_sld_cob_pap_7
My table tb_sld_cob_pap_6 does NOT have data with ([data_sld_pap] >= '20060201'). I'm using this script in other database and I don't have this problem.
CREATE INDEX myTable99_1_IX ON MyTable99_1 (Account, Ledger) CREATE INDEX myTable99_2_IX ON MyTable99_2 (Account, Ledger) CREATE INDEX myTable99_3_IX ON MyTable99_3 (Account, Ledger) GO
CREATE VIEW myView99 AS SELECT Account , Ledger , PostDate FROM myTable99_1 UNION ALL SELECT Account , Ledger , PostDate FROM myTable99_2 UNION ALL SELECT Account , Ledger , PostDate FROM myTable99_3 GO
SELECT * FROM myView99 WHERE Account = 1 AND Ledger = 1 GO
DROP VIEW myView99 DROP TABLE myTable99_1, myTable99_2, myTable99_3 GO
OK, so I thought I knew this, but I'm looking for parallelism...not only am I no getting it, I'm getting an Index scan....is it becuse I didn't put any data in the table? I thought it would stil show my index seek with parallelism
I am implementing a table partitioning on our database with TSQL. At the moment (it is under developing) the data are correctly located in the relavant file group. Our target is to meke that the oldest partions/File groups can be backup and removed from the database. This to reduce the size of DB (time period is used for partitioning). Then, if the need arises, restoring the filegroup to make reporting or analysis. Take care that data are conitnuosly added and thus new File groups are added to represent the new time period (eg: new file group is the new month). Based on your experience is it possible a solution like that?
When do partitioned tables/indexes become beneficial? When a table has several million rows? Hundreds of millions of rows?
My tables all have clustered indexes based on the bigint identity PK. I am considering partitioning some of the larger tables by year. If the field I use is not part of the current clustered index then I can't use create index to create my partitions? I need to create an empty table for each year and then use the Alter Table switch? I have header/detail/sub-detail tables. As long as I create the partition function using a similar date field the partitions will be able to be joined? How do I insure my indexes will be aligned? Once I set up the partitions I assume new rows will be stored in the proper partitions based on the value of the date field.
I've read BOL, etc & they are good sources for theory but I need a "Building Partitions for Dummies" type paper with step by step explanations. Anything out there like that?
I'm running sqlserver 2000 enterprise edition on windows 2000 and I need to know, how to create partition table. Please give me a small partition table example.
This post concerns updating across a partitioned view, and not unlike others about this subject I am getting this error:
Msg 4436, Level 16, State 12, Line 1 UNION ALL view 'dbII.dbo.MyTable' is not updatable because a partitioning column was not found.
I am aware of the rules for defining a partitioning column, but interpreting them may have beaten me. So perhaps I haven't abided by all the rules. How to spot which one(s) from the view and table definitions? I suspect the CHECK constraint does not allow the ASCII function, but I can't see how to avoid using it given SYSCODE entries in one table are like "[A-Z]%" and in the other are like "[0-9]%".
Otherwise, I suspect it is because one of the tables has, by legacy, a text column and the view is casting it to varchar(MAX). I also suspect it is because there's a second column with a unique index. These aren't mentioned in the rules (are they?).
Here's the view definition:
SELECT SYSCODE, COL2, CAST(COMMENTS AS varchar(MAX)) AS COMMENTS FROM dbo.MYTABLE UNION ALL SELECT SYSCODE, COL2, COMMENTS FROM OTHERDATABASE.dbo.MYTABLE AS MYTABLE_1
And here are the table definitions:
-- Table in the database where view is defined CREATE TABLE [dbo].[MYTABLE]( [SYSCODE] [char](12) NOT NULL,
hello i want to ask if the insertion of a record into a partion is slower than insertion it into a non partitioned table or not? cuz sql has to decide to wich partion the record has to insert according to the partitioning key and is this decesion process is making insertion slower ?
I have inserted 200m rows into a partitioned table using SSIS, the table has a [RecID] column which is an identity(1,1) primary key. When I open the table, I see that RecId doesn't start from 1(its not ordered), it starts from 889823. But, when I query the table for RecID = 1, I can see that row.
Is it a typical behavior of a partitioned table? Or am I doing something wrong?
This is the query I used to create the partitioned table.
I am designing 3 p:artitioned views for 3 tables. Those tables grow up in 1.5 millions of rows per month (each one), so I decided to partition those tables monthly. The issue is that if I want to create the views with more than 256 months (256 tables) SQL Server says: 'Server: Msg 106, Level 15, State 1, Procedure Jugadas, Line 258Too many table names in the query. The maximum allowable is 256.'
Is there any workaround for this?
Another solution maybe?
PD1: I've tested with less than 256 tables and it works fine, I can update and query the tables (except for a couple of querys where I've got to join 2 or more of the involucred views in which case I got a similar error saying about a 260 table limit).
I have a table that I'm trying to scale out into a partitioned view. It's about 30 million rows. It's a workflow table and I have a taskID in the table. Originally the table was partitioned on this column but performance still wasn't what I wanted it to be, so we figured out how we could partition on a bit flag of IsOpen.
Question #1) Anyone know a best practice for creating apartitioned views on multi-columns?
What I'd like to try to do to lower the complexity of the original partitioned view is to create a view of partitioned views. Is this even possible (This is Q#2, BTW).
Hello all, I was wondering if anyone else ran into this and if how you got around it. In a nut shell the SQL optimizer it NOT pruning the additional partitions from the execution plan as would be expected when applying a constraint directly against the partitioned table€™s partition key, Instead its scanning every partition that you have set up in you partition function range.. Yet when you apply the actual value against the table the plan return as expected.
Hmm.... strange......ghost...ooooooo?
I have created a simple test to reproduce:
Code Snippet
CREATE PARTITION FUNCTION [PTFunction](int) AS RANGE LEFT FOR VALUES (1,2,3)
GO
CREATE PARTITION SCHEME [PTDataScheme] AS PARTITION [PTFunction] TO ([PRIMARY], [PRIMARY], [PRIMARY], [PRIMARY])
GO
CREATE TABLE tblPartitionTest(
ID int identity(1,1) ,
PartitionKey int,
Sales money)
ON PTDataScheme(PartitionKey)
GO
INSERT INTO tblPartitionTest(PartitionKey,Sales) VALUES(1,10.00);
INSERT INTO tblPartitionTest(PartitionKey,Sales) VALUES(1,20.00);
INSERT INTO tblPartitionTest(PartitionKey,Sales) VALUES(1,30.00);
INSERT INTO tblPartitionTest(PartitionKey,Sales) VALUES(1,40.00);
INSERT INTO tblPartitionTest(PartitionKey,Sales) VALUES(1,50.00);
INSERT INTO tblPartitionTest(PartitionKey,Sales) VALUES(2,10.00);
INSERT INTO tblPartitionTest(PartitionKey,Sales) VALUES(2,20.00);
INSERT INTO tblPartitionTest(PartitionKey,Sales) VALUES(2,30.00);
INSERT INTO tblPartitionTest(PartitionKey,Sales) VALUES(2,40.00);
INSERT INTO tblPartitionTest(PartitionKey,Sales) VALUES(2,50.00);
INSERT INTO tblPartitionTest(PartitionKey,Sales) VALUES(3,10.00);
INSERT INTO tblPartitionTest(PartitionKey,Sales) VALUES(3,20.00);
INSERT INTO tblPartitionTest(PartitionKey,Sales) VALUES(3,30.00);
INSERT INTO tblPartitionTest(PartitionKey,Sales) VALUES(3,40.00);
INSERT INTO tblPartitionTest(PartitionKey,Sales) VALUES(3,50.00);
