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LAS TIC
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argelisv23
Grade 10 topic 2 intro
Grade 10 topic 2 intro
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MI PLE ACTUALIZADO A JUNIO DE 2015
PLE ACTUALIZADO
PLE ACTUALIZADO
Efrain Prado Angulo
We've got Penfriends in Slovakia. These are the first cards we sent them.
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53219008 2b
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LAS TIC
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Ramy Mamdouh Saad
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argelisv23
Grade 10 topic 2 intro
Grade 10 topic 2 intro
ISM
MI PLE ACTUALIZADO A JUNIO DE 2015
PLE ACTUALIZADO
PLE ACTUALIZADO
Efrain Prado Angulo
We've got Penfriends in Slovakia. These are the first cards we sent them.
Cards to slovakia
Cards to slovakia
gabitxuingeler
...
53219008 2b
53219008 2b
Vorapol Charoenkitwasin
4
4
4
jorpoza
Word art
Word art
Tamaleros
So far bethesda's maintaining silent
So far bethesda's maintaining silent
So far bethesda's maintaining silent
zhuanghan
A través del PLE se puede observar como aprendo, donde aprendo, que herramientas utilizamos, con que aprendo, de quien aprendo-
Mi ple, tit@
Mi ple, tit@
JOSEGUERREROSARRIA
Our Slovakian penfriends have written back telling us about their favourite places. They are GRRRRRREAT!!
Cards from slovakia 2
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gabitxuingeler
A typical tuning session on a resource-constrained system starts with a search for "low-hanging fruit." In a CPU-bound database system, it would be the SQL that uses CPU the most, in an I/O-bound system, the SQL doing the most physical reads, and so on. Tuning the TOP statements often allows us to free large portions of the utilized resources and remove bottlenecks. Often, we can use AWR reports to quickly identify the SQL_IDs of the top statements in the database. But what if the AWR report reveals no "low-hanging fruit," and the resource usage is evenly distributed among multiple statements? Where do we start? Is there a better way to identify the starting point for the tuning of a resource-bound system? This presentation will explain when the AWR reports are misleading and how we can take a look at the data stored in AWR from a different angle to determine the top consumers. Discussion will include a practical demonstration using scripts for AWR mining that attendees can apply to their own challenging database performance tuning problems. Scripts and the demo log: https://github.com/MarisElsins/TOOLS/tree/master/SQL/C15LV_AWR
Mining the AWR: Alternative Methods for Identification of the Top SQLs (inclu...
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Maris Elsins
We read our cards in class.
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gabitxuingeler
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1
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yh
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So far bethesda's maintaining silent
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A typical tuning session on a resource-constrained system starts with a search for "low-hanging fruit." In a CPU-bound database system, it would be the SQL that uses CPU the most, in an I/O-bound system, the SQL doing the most physical reads, and so on. Tuning the TOP statements often allows us to free large portions of the utilized resources and remove bottlenecks. Often, we can use AWR reports to quickly identify the SQL_IDs of the top statements in the database. But what if the AWR report reveals no "low-hanging fruit," and the resource usage is evenly distributed among multiple statements? Where do we start? Is there a better way to identify the starting point for the tuning of a resource-bound system? This presentation will explain when the AWR reports are misleading and how we can take a look at the data stored in AWR from a different angle to determine the top consumers. Discussion will include a practical demonstration using scripts for AWR mining that attendees can apply to their own challenging database performance tuning problems. Scripts and the demo log: https://github.com/MarisElsins/TOOLS/tree/master/SQL/C15LV_AWR
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