filtered-index

Failed because incorrect arithabort setting

…衆ロ難τιáo~ 提交于 2019-12-29 02:07:49
问题 I created a unique index (case description should be unique if IsDelete != 1) CREATE UNIQUE NONCLUSTERED INDEX [UniqueCaseDescription] ON [tblCases] ([fldCaseDescription] ASC) WHERE [IsDeleted] = CAST(0 AS varbinary(1)) WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, SORT_IN_TEMPDB = OFF, IGNORE_DUP_KEY = OFF, DROP_EXISTING = OFF, ONLINE = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON) ON [PRIMARY] Then when I run the following procedure it throws 'UPDATE failed because the following

What are the limitations of partial indexes?

牧云@^-^@ 提交于 2019-12-19 07:26:32
问题 The latest version of MongoDB (v3.2) adds support for partial (filtered) indexes. You supply a filter when you create the index and that filter determines which documents will be referenced in the index and which will not. Can I use any filter expression (as long as it's a valid filter)? Or are there limitations to the filter being used? If so, what are those limitations? 回答1: Can I use any filter expression? No, partial indexes support only a subset of the operators in the filter used. The

What are the limitations of partial indexes?

风格不统一 提交于 2019-12-19 07:25:07
问题 The latest version of MongoDB (v3.2) adds support for partial (filtered) indexes. You supply a filter when you create the index and that filter determines which documents will be referenced in the index and which will not. Can I use any filter expression (as long as it's a valid filter)? Or are there limitations to the filter being used? If so, what are those limitations? 回答1: Can I use any filter expression? No, partial indexes support only a subset of the operators in the filter used. The

What are the limitations of partial indexes?

只愿长相守 提交于 2019-12-19 07:25:00
问题 The latest version of MongoDB (v3.2) adds support for partial (filtered) indexes. You supply a filter when you create the index and that filter determines which documents will be referenced in the index and which will not. Can I use any filter expression (as long as it's a valid filter)? Or are there limitations to the filter being used? If so, what are those limitations? 回答1: Can I use any filter expression? No, partial indexes support only a subset of the operators in the filter used. The

Filtered index condition is ignored by optimizer

孤街浪徒 提交于 2019-12-17 16:33:36
问题 Assume I'm running a website that shows funny cat pictures. I have a table called CatPictures with the columns Filename , Awesomeness , and DeletionDate , and the following index: create nonclustered index CatsByAwesomeness on CatPictures (Awesomeness) include (Filename) where DeletionDate is null My main query is this: select Filename from CatPictures where DeletionDate is null and Awesomeness > 10 I, as a human being, know that the above index is all that SQL Server needs, because the index

What are the limitations of partial indexes?

半城伤御伤魂 提交于 2019-12-01 05:09:56
The latest version of MongoDB (v3.2) adds support for partial (filtered) indexes . You supply a filter when you create the index and that filter determines which documents will be referenced in the index and which will not. Can I use any filter expression (as long as it's a valid filter)? Or are there limitations to the filter being used? If so, what are those limitations? Can I use any filter expression? No, partial indexes support only a subset of the operators in the filter used. The only supported operators are: $AND (only at the top level), $EQ , $LT , $LTE , $GT , $GTE , $EXISTS and the

Failed because incorrect arithabort setting

孤人 提交于 2019-11-28 14:43:26
I created a unique index (case description should be unique if IsDelete != 1) CREATE UNIQUE NONCLUSTERED INDEX [UniqueCaseDescription] ON [tblCases] ([fldCaseDescription] ASC) WHERE [IsDeleted] = CAST(0 AS varbinary(1)) WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, SORT_IN_TEMPDB = OFF, IGNORE_DUP_KEY = OFF, DROP_EXISTING = OFF, ONLINE = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON) ON [PRIMARY] Then when I run the following procedure it throws 'UPDATE failed because the following SET options have incorrect settings: 'ARITHABORT'. Verify that SET options are correct for use with

Does Oracle have a filtered index concept?

喜夏-厌秋 提交于 2019-11-28 10:59:09
Similar to SQLServer where I can do the following create index TimeSeriesPeriodSs1 on TimeSeriesPeriod (validationStatus, completionStatus) where completionStatus= N'Complete' and validationStatus= N'Pending' You can create a function-based index in Oracle that leverages the fact that NULL values aren't stored in b-tree indexes. Something like CREATE INDEX TimeSeriesPeriodSs1 ON TimeSeriesPeriod( (CASE WHEN completionStatus = 'Complete' AND validationStatus = 'Pending' THEN validationStatus ELSE NULL END), (CASE WHEN completionStatus = 'Complete' AND validationStatus = 'Pending' THEN

Filtered index condition is ignored by optimizer

怎甘沉沦 提交于 2019-11-27 23:31:07
Assume I'm running a website that shows funny cat pictures. I have a table called CatPictures with the columns Filename , Awesomeness , and DeletionDate , and the following index: create nonclustered index CatsByAwesomeness on CatPictures (Awesomeness) include (Filename) where DeletionDate is null My main query is this: select Filename from CatPictures where DeletionDate is null and Awesomeness > 10 I, as a human being, know that the above index is all that SQL Server needs, because the index filter condition already ensures the DeletionDate is null part. SQL Server however doesn't know this;

Does Oracle have a filtered index concept?

为君一笑 提交于 2019-11-27 05:54:29
问题 Similar to SQLServer where I can do the following create index TimeSeriesPeriodSs1 on TimeSeriesPeriod (validationStatus, completionStatus) where completionStatus= N'Complete' and validationStatus= N'Pending' 回答1: You can create a function-based index in Oracle that leverages the fact that NULL values aren't stored in b-tree indexes. Something like CREATE INDEX TimeSeriesPeriodSs1 ON TimeSeriesPeriod( (CASE WHEN completionStatus = 'Complete' AND validationStatus = 'Pending' THEN