Share this
Expand your Oracle Tuning Tools with dbms_utility.expand_sql_text
by Jared Still on Jan 12, 2024 1:21:37 PM
Expand an Oracle View to Full SELECT Text
When working on a view composed of SELECT statements on other views, it can be difficult to know what the complete SQL text looks like.
Most of the time, seeing the entire expanded SQL may not be necessary. However, When trying to improve a SQL statement's performance, the expanded SQL can be very useful.
The following demo was created on an Oracle 19.12 database.
The client is Linux. Some of these scripts may require adjustments for the differences in how lines are terminated if the scripts are run on Windows.
Several of the tables and views used in this article are rather contrived and do not fit any good design pattern. They are simply for demonstration purposes.
dbms_utility.expand_sql_text
The DBMS_UTILITY package has a procedure EXPAND_SQL_TEXT. As per the documentation:
This procedure recursively replaces any view references in the input SQL query with the corresponding view subquery.
I will use dbms_utility.expand_sql_text to expand some simple SQL statements into the full SQL that is used by Oracle.
There are so many features in Oracle it is quite easy to overlook some useful features. This may be the case for you, as it was for me, as the expand_sql_text procedure was added to Oracle long ago, in version 12.1.
The scripts used in this blog may be found at oracle-dbms-utility-expand-sql
create-tables.sql
This script just selects from the ALL_OBJECTS view to create several smaller test tables.
The test tables each contain some part of the columns found in the ALL_OBJECTS view and together make up a subset of that view.
These are the 'contrived' tables referred to previously.
@@ create-tables
Table dropped.
Table dropped.
...
TEST_OBJECTS
Table created.
XP_OBJECT_ID
Table created.
XP_OBJECT_NAMES
Table created.
XP_OBJECT_DATES
Table created.
XP_OBJECT_TYPES
Table created.
XP_OBJECT_STATUS
Table created.
Commit complete.
create-views.sql
Now, create some views on the new tables, as well as some views on views.
Each of the tables has a view select * from TABLE_NAME. The other views JOIN these views.
@@ create-views
XP_OBJECT_ID_V
View created.
XP_OBJECT_DATES_V
View created.
XP_OBJECT_NAMES_V
View created.
XP_OBJECT_TYPES_V
View created.
XP_OBJECT_STATUS_V
View created.
XP_OBJECT_ID_TYPE_V
View created.
XP_OBJECT_ID_NAME_V
View created.
XP_OBJECT_ID_STATUS_V
View created.
XP_OBJECT_ID_DATES_V
View created.
XP_OBJECTS_V
View created.
Permissions
The simplest way to run these scripts is from an account that has DBA privileges otherwise, it may fail.
While I could ferret out the necessary privileges, that is not the focus of this article, and so determining the exact privileges required is left as an exercise for the reader.
From OH/rdbms/admin/dbmsutil.sql script:
- ORA-24256 will be raised if the current user does not have SELECT
privileges on all the views and tables recursively referenced in the
input sql text. It will also be raised if the user does not have
EXECUTE privileges on all functions and types referenced from within
views that are expanded as well as any other reason a valid query could
not be expanded. The ORA-24256's error message text contains information
regarding the particular restriction that wasn't satisfied.
- ORA-24251 will be raised if the input_sql text is not a select statement.
- ORA-00900 will be raised if the input is not valid.
- ORA-29477 will be raised if the input lob size exceeds the maximum size
of 4GB -1.
get-view.sql
Now for a demo of dbms_utility.expand_sql_text
Here is a simple demonstration:
@get-view 'select * from dual'
SELECT "A1"."DUMMY" "DUMMY" FROM "SYS"."DUAL" "A1"
SQL#
Now for one of the views created previously:
@get-view 'select * from XP_OBJECT_ID_V'
SELECT "A1"."OWNER" "OWNER","A1"."OBJECT_ID" "OBJECT_ID" FROM (SELECT "A2"."OWNER" "OWNER","A2"."OBJECT_ID" "OBJECT_ID" FROM "JKSTILL"."XP_OBJECT_ID" "A2") "A1"
SQL#
So far, so good. That view was simply a selection on a single table.
Let's see what happens when 1+ views are referenced in the SQL:
@get-view 'select * from XP_OBJECT_ID_TYPE_V'
SELECT "A1"."OWNER" "OWNER","A1"."OBJECT_ID" "OBJECT_ID","A1"."OBJECT_TYPE" "OBJECT_TYPE" FROM (SELECT "A2"."QCSJ_C000000000400000_0" "OWNER","A2"."QCSJ_C000000000400002_1" "OBJECT_ID","A2"."OBJECT_TYPE_4" "OBJECT_TYPE" FROM (SELECT "A4"."OWNER" "QCSJ_C000000000400000_0","A4"."OBJECT_ID" "QCSJ_C000000000400002_1","A3"."OWNER" "QCSJ_C000000000400001","A3"."OBJECT_ID" "QCSJ_C000000000400003","A3"."OBJECT_TYPE" "OBJECT_TYPE_4" FROM (SELECT "A5"."OWNER" "OWNER","A5"."OBJECT_ID" "OBJECT_ID" FROM "JKSTILL"."XP_OBJECT_ID" "A5") "A4", (SELECT "A6"."OWNER" "OWNER","A6"."OBJECT_ID" "OBJECT_ID","A6"."OBJECT_TYPE" "OBJECT_TYPE" FROM "JKSTILL"."XP_OBJECT_TYPES" "A6") "A3" WHERE "A3"."OBJECT_ID"="A4"."OBJECT_ID") "A2") "A1"
#SQL
OK, that is rather difficult to read.
From now on, the Shell script get-view.sh will be used, which logs in to the database, gets the expanded SQL text and runs it through a formatter.
Note: you will need to change the credentials in the script if you run this yourself.
Let's try it:
$ ./get-view.sh 'select * from XP_OBJECT_ID_TYPE_V'
SELECT
A1.OWNER OWNER
,A1.OBJECT_ID OBJECT_ID
,A1.OBJECT_TYPE OBJECT_TYPE
FROM
(
SELECT
A2.QCSJ_C000000000400000_0 OWNER
,A2.QCSJ_C000000000400002_1 OBJECT_ID
,A2.OBJECT_TYPE_4 OBJECT_TYPE
FROM
(
SELECT
A4.OWNER QCSJ_C000000000400000_0
,A4.OBJECT_ID QCSJ_C000000000400002_1
,A3.OWNER QCSJ_C000000000400001
,A3.OBJECT_ID QCSJ_C000000000400003
,A3.OBJECT_TYPE OBJECT_TYPE_4
FROM
(
SELECT
A5.OWNER OWNER
,A5.OBJECT_ID OBJECT_ID
FROM JKSTILL.XP_OBJECT_ID A5
) A4,
(
SELECT
A6.OWNER OWNER
,A6.OBJECT_ID OBJECT_ID
,A6.OBJECT_TYPE OBJECT_TYPE
FROM JKSTILL.XP_OBJECT_TYPES A6
) A3
WHERE A3.OBJECT_ID=A4.OBJECT_ID
) A2
) A1
That is much easier to read.
The formatter format-sql.pl is not a full-functioned formatter, but it works for this blog's scripts.
When 1+ objects (including tables, not just views) are referenced in the SQL, Oracle may create unique column names for a number of referenced columns:
For example:
$ cat > t1.sql
select
o.owner
, o.object_id
, s.status
, s.temporary
, s.generated
from xp_object_id o
join xp_object_status s
on s.object_id = o.object_id
^D
$ ./get-view.sh "$(cat t1.sql | tr '\n' ' ')" | expand -t3
SELECT
A1.QCSJ_C000000000300000_0 OWNER
,A1.QCSJ_C000000000300002_1 OBJECT_ID
,A1.STATUS_4 STATUS
,A1.TEMPORARY_5 TEMPORARY
,A1.GENERATED_6 GENERATED
FROM
(
SELECT
A3.OWNER QCSJ_C000000000300000_0
,A3.OBJECT_ID QCSJ_C000000000300002_1
,A2.OWNER QCSJ_C000000000300001
,A2.OBJECT_ID QCSJ_C000000000300003
,A2.STATUS STATUS_4
,A2.TEMPORARY TEMPORARY_5
,A2.GENERATED GENERATED_6
FROM JKSTILL.XP_OBJECT_ID A3,JKSTILL.XP_OBJECT_STATUS A2 WHERE A2.OBJECT_ID=A3.OBJECT_ID
) A1
Why would Oracle create these column aliases? Consider the following SQL snippet from the previous output:
SELECT
A4.OWNER QCSJ_C000000000400000_0
,A4.OBJECT_ID QCSJ_C000000000400002_1
,A3.OWNER QCSJ_C000000000400001
,A3.OBJECT_ID QCSJ_C000000000400003
,A3.OBJECT_TYPE OBJECT_TYPE_4
The column OBJECT_NAME appears twice in each of the A3 and A4 inline views. The unique names are used to disambiguate the column names.
There appears to be some threshold at which Oracle decides to create aliases for all column names rather than just those that require it.
The following SQL is a query on two of the tables in the OE Order Entry schema that is included with Oracle Demos.
create or replace view expand_sql_test
as
select o.order_id, o.order_date,o.customer_id
, i.line_item_id, i.product_id
from oe.orders o
join oe.order_items i on i.order_id = o.order_id
order by o.order_id, i.line_item_id
The expanded view:
$ ./get-view.sh 'select * from oe.expand_sql_test
SELECT
A1.ORDER_ID ORDER_ID
,A1.ORDER_DATE ORDER_DATE
,A1.CUSTOMER_ID CUSTOMER_ID
,A1.LINE_ITEM_ID LINE_ITEM_ID
,A1.PRODUCT_ID PRODUCT_ID
FROM
(
SELECT
A2.QCSJ_C000000000400000_0 ORDER_ID
,A2.ORDER_DATE_1 ORDER_DATE
,A2.CUSTOMER_ID_2 CUSTOMER_ID
,A2.LINE_ITEM_ID_4 LINE_ITEM_ID
,A2.PRODUCT_ID_5 PRODUCT_ID
FROM
(
SELECT
A4.ORDER_ID QCSJ_C000000000400000_0
,A4.ORDER_DATE ORDER_DATE_1
,A4.CUSTOMER_ID CUSTOMER_ID_2
,A3.ORDER_ID QCSJ_C000000000400001
,A3.LINE_ITEM_ID LINE_ITEM_ID_4
,A3.PRODUCT_ID PRODUCT_ID_5
FROM OE.ORDERS A4,OE.ORDER_ITEMS A3 WHERE A3.ORDER_ID=A4.ORDER_ID
) A2
ORDER
BY
A2.QCSJ_C000000000400000_0,A2.LINE_ITEM_ID_4
) A1
The only duplicate column name in this case was ORDER_ID.
This is also the only column for which dbms_utility.expand_sql_text created an alias.
If a copy is made of the ORDER_ITEMS table, and the ORDER_ID column is renamed, dbms_utility.expand_sqltext will not create an alias for any columns.
create table order_items_test
as
select * from order_items
/
alter table order_items_test rename column order_id to items_order_id ;
create or replace view expand_sql_test_2
as
select o.order_id, o.order_date,o.customer_id
, i.line_item_id, i.product_id
from oe.orders o
join oe.order_items_test i on i.items_order_id = o.order_id
order by o.order_id, i.line_item_id
/
Expand the SQL Text
$ ./get-view.sh 'select * from oe.expand_sql_test_2'
SELECT
A1.ORDER_ID ORDER_ID
,A1.ORDER_DATE ORDER_DATE
,A1.CUSTOMER_ID CUSTOMER_ID
,A1.LINE_ITEM_ID LINE_ITEM_ID
,A1.PRODUCT_ID PRODUCT_ID
FROM
(
SELECT
A2.ORDER_ID_0 ORDER_ID
,A2.ORDER_DATE_1 ORDER_DATE
,A2.CUSTOMER_ID_2 CUSTOMER_ID
,A2.LINE_ITEM_ID_4 LINE_ITEM_ID
,A2.PRODUCT_ID_5 PRODUCT_ID
FROM
(
SELECT
A4.ORDER_ID ORDER_ID_0
,A4.ORDER_DATE ORDER_DATE_1
,A4.CUSTOMER_ID CUSTOMER_ID_2
,A3.ITEMS_ORDER_ID ITEMS_ORDER_ID
,A3.LINE_ITEM_ID LINE_ITEM_ID_4
,A3.PRODUCT_ID PRODUCT_ID_5
FROM OE.ORDERS A4,OE.ORDER_ITEMS_TEST A3 WHERE A3.ITEMS_ORDER_ID=A4.ORDER_ID
) A2
ORDER
BY
A2.ORDER_ID_0,A2.LINE_ITEM_ID_4
) A1
The Full SQL Text
Getting back now to the original test tables and views, there is one view that joins all other views: XP_OBJECTS_V. Let's see what the expanded SQL looks like:
$ ./get-view.sh "select * from xp_objects_v"
SELECT
A1.OWNER OWNER
,A1.OBJECT_ID OBJECT_ID
,A1.OBJECT_TYPE OBJECT_TYPE
,A1.OBJECT_NAME OBJECT_NAME
,A1.STATUS STATUS
,A1.CREATED CREATED
,A1.LAST_DDL_TIME LAST_DDL_TIME
FROM
(
SELECT
A2.QCSJ_C000000000400000_0 OWNER
,A2.QCSJ_C000000000400002_1 OBJECT_ID
,A2.OBJECT_TYPE_2 OBJECT_TYPE
,A2.OBJECT_NAME_5 OBJECT_NAME
,A2.STATUS_8 STATUS
,A2.CREATED_11 CREATED
,A2.LAST_DDL_TIME_12 LAST_DDL_TIME
FROM
(
SELECT
A4.QCSJ_C000000000400000_0 QCSJ_C000000000400000_0
,A4.QCSJ_C000000000400002_1 QCSJ_C000000000400002_1
,A4.OBJECT_TYPE_2 OBJECT_TYPE_2
,A4.QCSJ_C000000000400001_3 QCSJ_C000000000400001
,A4.QCSJ_C000000000400003_4 QCSJ_C000000000400003
,A4.OBJECT_NAME_5 OBJECT_NAME_5
,A4.OWNER_6 QCSJ_C000000000800000
,A4.OBJECT_ID_7 QCSJ_C000000000800002
,A4.STATUS_8 STATUS_8
,A3.OWNER QCSJ_C000000000800001
,A3.OBJECT_ID QCSJ_C000000000800003
,A3.CREATED CREATED_11
,A3.LAST_DDL_TIME LAST_DDL_TIME_12
FROM
(
SELECT
A6.QCSJ_C000000000400000_0 QCSJ_C000000000400000_0
,A6.QCSJ_C000000000400002_1 QCSJ_C000000000400002_1
,A6.OBJECT_TYPE_2 OBJECT_TYPE_2
,A6.QCSJ_C000000000400001_3 QCSJ_C000000000400001_3
,A6.QCSJ_C000000000400003_4 QCSJ_C000000000400003_4
,A6.OBJECT_NAME_5 OBJECT_NAME_5
,A5.OWNER OWNER_6
,A5.OBJECT_ID OBJECT_ID_7
,A5.STATUS STATUS_8
FROM
(
SELECT
A8.OWNER QCSJ_C000000000400000_0
,A8.OBJECT_ID QCSJ_C000000000400002_1
,A8.OBJECT_TYPE OBJECT_TYPE_2
,A7.OWNER QCSJ_C000000000400001_3
,A7.OBJECT_ID QCSJ_C000000000400003_4
,A7.OBJECT_NAME OBJECT_NAME_5
FROM
(
SELECT
A9.QCSJ_C000000002600000_0 OWNER
,A9.QCSJ_C000000002600002_1 OBJECT_ID
,A9.OBJECT_TYPE_4 OBJECT_TYPE
FROM
(
SELECT
A11.OWNER QCSJ_C000000002600000_0
,A11.OBJECT_ID QCSJ_C000000002600002_1
,A10.OWNER QCSJ_C000000002600001
,A10.OBJECT_ID QCSJ_C000000002600003
,A10.OBJECT_TYPE OBJECT_TYPE_4
FROM
(
SELECT
A12.OWNER OWNER
,A12.OBJECT_ID OBJECT_ID
FROM JKSTILL.XP_OBJECT_ID A12
) A11,
(
SELECT
A13.OWNER OWNER
,A13.OBJECT_ID OBJECT_ID
,A13.OBJECT_TYPE OBJECT_TYPE
FROM JKSTILL.XP_OBJECT_TYPES A13
) A10
WHERE A10.OBJECT_ID=A11.OBJECT_ID
) A9
) A8,
(
SELECT
A14.QCSJ_C000000002100000_0 OWNER
,A14.QCSJ_C000000002100002_1 OBJECT_ID
,A14.OBJECT_NAME_4 OBJECT_NAME
FROM
(
SELECT
A16.OWNER QCSJ_C000000002100000_0
,A16.OBJECT_ID QCSJ_C000000002100002_1
,A15.OWNER QCSJ_C000000002100001
,A15.OBJECT_ID QCSJ_C000000002100003
,A15.OBJECT_NAME OBJECT_NAME_4
FROM
(
SELECT
A17.OWNER OWNER
,A17.OBJECT_ID OBJECT_ID
FROM JKSTILL.XP_OBJECT_ID A17
) A16,
(
SELECT
A18.OWNER OWNER
,A18.OBJECT_ID OBJECT_ID
,A18.OBJECT_NAME OBJECT_NAME
FROM JKSTILL.XP_OBJECT_NAMES A18
) A15
WHERE A15.OBJECT_ID=A16.OBJECT_ID
) A14
) A7
WHERE A7.OBJECT_ID=A8.OBJECT_ID
) A6,
(
SELECT
A19.QCSJ_C000000001600000_0 OWNER
,A19.QCSJ_C000000001600002_1 OBJECT_ID
,A19.STATUS_4 STATUS
,A19.TEMPORARY_5 TEMPORARY
,A19.GENERATED_6 GENERATED
FROM
(
SELECT
A21.OWNER QCSJ_C000000001600000_0
,A21.OBJECT_ID QCSJ_C000000001600002_1
,A20.OWNER QCSJ_C000000001600001
,A20.OBJECT_ID QCSJ_C000000001600003
,A20.STATUS STATUS_4
,A20.TEMPORARY TEMPORARY_5
,A20.GENERATED GENERATED_6
FROM
(
SELECT
A22.OWNER OWNER
,A22.OBJECT_ID OBJECT_ID
FROM JKSTILL.XP_OBJECT_ID A22
) A21,
(
SELECT
A23.OWNER OWNER
,A23.OBJECT_ID OBJECT_ID
,A23.STATUS STATUS
,A23.TEMPORARY TEMPORARY
,A23.GENERATED GENERATED
FROM JKSTILL.XP_OBJECT_STATUS A23
) A20
WHERE A20.OBJECT_ID=A21.OBJECT_ID
) A19
) A5
WHERE A5.OBJECT_ID=A6.QCSJ_C000000000400002_1
) A4,
(
SELECT
A24.QCSJ_C000000001100000_0 OWNER
,A24.QCSJ_C000000001100002_1 OBJECT_ID
,A24.CREATED_4 CREATED
,A24.LAST_DDL_TIME_5 LAST_DDL_TIME
,A24.TIMESTAMP_6 TIMESTAMP
FROM
(
SELECT
A26.OWNER QCSJ_C000000001100000_0
,A26.OBJECT_ID QCSJ_C000000001100002_1
,A25.OWNER QCSJ_C000000001100001
,A25.OBJECT_ID QCSJ_C000000001100003
,A25.CREATED CREATED_4
,A25.LAST_DDL_TIME LAST_DDL_TIME_5
,A25.TIMESTAMP TIMESTAMP_6
FROM
(
SELECT
A27.OWNER OWNER
,A27.OBJECT_ID OBJECT_ID
FROM JKSTILL.XP_OBJECT_ID A27
) A26,
(
SELECT
A28.OWNER OWNER
,A28.OBJECT_ID OBJECT_ID
,A28.CREATED CREATED
,A28.LAST_DDL_TIME LAST_DDL_TIME
,A28.TIMESTAMP TIMESTAMP
FROM JKSTILL.XP_OBJECT_DATES A28
) A25
WHERE A25.OBJECT_ID=A26.OBJECT_ID
) A24
) A3
WHERE A3.OBJECT_ID=A4.QCSJ_C000000000400002_1
) A2
) A1
That simple SELECT statement expanded into 196 lines of SQL!
You may have also noticed that nearly all of the columns referenced in the inline views have been aliased to a different name.
Now, imagine that you have been given the task of improving the performance of select * from xp_objects_v.
On the surface, it looks simple. But when you start digging into it, say by getting an execution plan or a SQL trace, you realize the SQL is much more complex than it first appeared.
For example, this query: select /*+ gather_plan_statistics */ count(*) from xp_objects_v where owner = 'SCOTT', has the following execution plan:
A TABLE ACCESS FULL on each table in the view will not provide optimal performance for this query.
It is also quite obvious that this is a view. Checking on the view definition, the following SQL is shown:
1 select text
2 from all_views
3* where view_name like 'XP_OBJECTS_V'
/
TEXT
--------------------------------------------------------------------------------
select
t.owner
, t.object_id
, t.object_type
, n.object_name
, s.status
, d.created
, d.last_ddl_time
from xp_object_id_type_v t
join xp_object_id_name_v n on n.object_id = t.object_id
join xp_object_id_status_v s on s.object_id = t.object_id
join xp_object_id_dates_v d on d.object_id = t.object_id
1 row selected.
As you now know, that initial SQL statement does not tell the whole story, as the full SQL query is 196 lines of SQL.
While the column aliases created by dbms_utility.expand_sql_text may make the SQL somewhat difficult to read, that inconvenience is offset by the knowledge gained about the true nature of what at first appeared to be a simple SQL statement.
The expanded SQL will help you better understand the SQL execution plan, as almost nothing in the plan will correlate to select * from xp_objects_v;
The expanded SQL can also be executed directly from SQL*Plus. Having the full SQL does simplify the tuning effort somewhat.
Here is a link to documentation for full details: dbms_utility.expand_sql_text.
The next time you need to work on tuning the performance of a view, give dbms_utility.expand_sql_text a try to see what you are really working with.
Share this
- Technical Track (969)
- Oracle (400)
- MySQL (137)
- Cloud (131)
- Open Source (90)
- Google Cloud (83)
- DBA Lounge (76)
- Microsoft SQL Server (76)
- Technical Blog (74)
- Big Data (52)
- AWS (49)
- Google Cloud Platform (47)
- Cassandra (44)
- DevOps (41)
- Azure (38)
- Pythian (33)
- Linux (30)
- Database (26)
- Podcasts (25)
- Site Reliability Engineering (25)
- Performance (24)
- SQL Server (24)
- Microsoft Azure (23)
- Oracle E-Business Suite (23)
- PostgreSQL (23)
- Oracle Database (22)
- Docker (21)
- Group Blog Posts (20)
- Security (20)
- DBA (19)
- Log Buffer (19)
- SQL (19)
- Exadata (18)
- Mongodb (18)
- Oracle Cloud Infrastructure (OCI) (18)
- Oracle Exadata (18)
- Automation (17)
- Hadoop (16)
- Oracleebs (16)
- Amazon RDS (15)
- Ansible (15)
- Ebs (15)
- Snowflake (15)
- ASM (13)
- BigQuery (13)
- Patching (13)
- RDS (13)
- Replication (13)
- Data (12)
- GenAI (12)
- Kubernetes (12)
- Oracle 12C (12)
- Advanced Analytics (11)
- Backup (11)
- LLM (11)
- Machine Learning (11)
- OCI (11)
- Rman (11)
- Cloud Migration (10)
- Datascape Podcast (10)
- Monitoring (10)
- R12 (10)
- 12C (9)
- AI (9)
- Apache Cassandra (9)
- Data Guard (9)
- Infrastructure (9)
- Oracle 19C (9)
- Oracle Applications (9)
- Python (9)
- Series (9)
- AWR (8)
- Amazon Web Services (AWS) (8)
- Articles (8)
- High Availability (8)
- Oracle EBS (8)
- Percona (8)
- Powershell (8)
- Recovery (8)
- Weblogic (8)
- Apache Beam (7)
- Backups (7)
- Data Governance (7)
- Goldengate (7)
- Innodb (7)
- Migration (7)
- Myrocks (7)
- OEM (7)
- Oracle Enterprise Manager (OEM) (7)
- Performance Tuning (7)
- Authentication (6)
- ChatGPT-4 (6)
- Data Enablement (6)
- Database Performance (6)
- E-Business Suite (6)
- Fmw (6)
- Grafana (6)
- Oracle Enterprise Manager (6)
- Orchestrator (6)
- Postgres (6)
- Rac (6)
- Renew Refresh Republish (6)
- RocksDB (6)
- Serverless (6)
- Upgrade (6)
- 19C (5)
- Azure Data Factory (5)
- Azure Synapse Analytics (5)
- Cpu (5)
- Data Visualization (5)
- Disaster Recovery (5)
- Error (5)
- Generative AI (5)
- Google BigQuery (5)
- Indexes (5)
- Love Letters To Data (5)
- Mariadb (5)
- Microsoft (5)
- Proxysql (5)
- Scala (5)
- Sql Server Administration (5)
- VMware (5)
- Windows (5)
- Xtrabackup (5)
- Airflow (4)
- Analytics (4)
- Apex (4)
- Best Practices (4)
- Centrally Managed Users (4)
- Cli (4)
- Cloud FinOps (4)
- Cloud Spanner (4)
- Cockroachdb (4)
- Configuration Management (4)
- Container (4)
- Data Management (4)
- Data Pipeline (4)
- Data Security (4)
- Data Strategy (4)
- Database Administrator (4)
- Database Management (4)
- Database Migration (4)
- Dataflow (4)
- Dbsat (4)
- Elasticsearch (4)
- Fahd Mirza (4)
- Fusion Middleware (4)
- Google (4)
- Io (4)
- Java (4)
- Kafka (4)
- Middleware (4)
- Mysql 8 (4)
- Network (4)
- Ocidtab (4)
- Opatch (4)
- Oracle Autonomous Database (Adb) (4)
- Oracle Cloud (4)
- Pitr (4)
- Post-Mortem Analysis (4)
- Prometheus (4)
- Redhat (4)
- September 9Th 2015 (4)
- Sql2016 (4)
- Ssl (4)
- Terraform (4)
- Workflow (4)
- 2Fa (3)
- Alwayson (3)
- Amazon Relational Database Service (Rds) (3)
- Apache Kafka (3)
- Apexexport (3)
- Aurora (3)
- Azure Sql Db (3)
- Cdb (3)
- ChatGPT (3)
- Cloud Armor (3)
- Cloud Database (3)
- Cloud Security (3)
- Cluster (3)
- Consul (3)
- Cosmos Db (3)
- Cost Management (3)
- Covid19 (3)
- Crontab (3)
- Data Analytics (3)
- Data Integration (3)
- Database 12C (3)
- Database Monitoring (3)
- Database Troubleshooting (3)
- Database Upgrade (3)
- Databases (3)
- Dataops (3)
- Dbt (3)
- Digital Transformation (3)
- ERP (3)
- Google Chrome (3)
- Google Cloud Sql (3)
- Graphite (3)
- Haproxy (3)
- Heterogeneous Database Migration (3)
- Hugepages (3)
- Inside Pythian (3)
- Installation (3)
- Json (3)
- Keras (3)
- Ldap (3)
- Liquibase (3)
- Love Letter (3)
- Lua (3)
- Mfa (3)
- Multitenant (3)
- Mysql 5.7 (3)
- Mysql Configuration (3)
- Nginx (3)
- Nodetool (3)
- Non-Tech Articles (3)
- Oem 13C (3)
- Oms (3)
- Oracle 18C (3)
- Oracle Data Guard (3)
- Oracle Live Sql (3)
- Oracle Rac (3)
- Patch (3)
- Perl (3)
- Pmm (3)
- Pt-Online-Schema-Change (3)
- Rdbms (3)
- Recommended (3)
- Remote Teams (3)
- Reporting (3)
- Reverse Proxy (3)
- S3 (3)
- Spark (3)
- Sql On The Edge (3)
- Sql Server Configuration (3)
- Sql Server On Linux (3)
- Ssis (3)
- Ssis Catalog (3)
- Stefan Knecht (3)
- Striim (3)
- Sysadmin (3)
- System Versioned (3)
- Systemd (3)
- Temporal Tables (3)
- Tensorflow (3)
- Tools (3)
- Tuning (3)
- Vasu Balla (3)
- Vault (3)
- Vulnerability (3)
- Waf (3)
- 18C (2)
- Adf (2)
- Adop (2)
- Agent (2)
- Agile (2)
- Amazon Data Migration Service (2)
- Amazon Ec2 (2)
- Amazon S3 (2)
- Apache Flink (2)
- Apple (2)
- Apps (2)
- Ashdump (2)
- Atp (2)
- Audit (2)
- Automatic Backups (2)
- Autonomous (2)
- Autoupgrade (2)
- Awr Data Mining (2)
- Azure Sql (2)
- Azure Sql Data Sync (2)
- Bash (2)
- Business (2)
- Business Intelligence (2)
- Caching (2)
- Cassandra Nodetool (2)
- Cdap (2)
- Certification (2)
- Cloning (2)
- Cloud Cost Optimization (2)
- Cloud Data Fusion (2)
- Cloud Hosting (2)
- Cloud Infrastructure (2)
- Cloud Shell (2)
- Cloud Sql (2)
- Cloudscape (2)
- Cluster Level Consistency (2)
- Conferences (2)
- Consul-Template (2)
- Containerization (2)
- Containers (2)
- Cosmosdb (2)
- Costs (2)
- Cql (2)
- Cqlsh (2)
- Cyber Security (2)
- Data Discovery (2)
- Data Migration (2)
- Data Quality (2)
- Data Streaming (2)
- Data Warehouse (2)
- Database Consulting (2)
- Database Migrations (2)
- Dataguard (2)
- Datapump (2)
- Ddl (2)
- Debezium (2)
- Dictionary Views (2)
- Dms (2)
- Docker-Composer (2)
- Dr (2)
- Duplicate (2)
- Ecc (2)
- Elastic (2)
- Elastic Stack (2)
- Em12C (2)
- Encryption (2)
- Enterprise Data Platform (EDP) (2)
- Enterprise Manager (2)
- Etl (2)
- Events (2)
- Exachk (2)
- Filter Driver (2)
- Flume (2)
- Full Text Search (2)
- Galera (2)
- Gemini (2)
- General Purpose Ssd (2)
- Gh-Ost (2)
- Gke (2)
- Google Workspace (2)
- Hanganalyze (2)
- Hdfs (2)
- Health Check (2)
- Historical Trends (2)
- Incremental (2)
- Infiniband (2)
- Infrastructure As Code (2)
- Innodb Cluster (2)
- Innodb File Structure (2)
- Innodb Group Replication (2)
- Install (2)
- Internals (2)
- Java Web Start (2)
- Kibana (2)
- Log (2)
- Log4J (2)
- Logs (2)
- Memory (2)
- Merge Replication (2)
- Metrics (2)
- Mutex (2)
- MySQLShell (2)
- NLP (2)
- Neo4J (2)
- Node.Js (2)
- Nosql (2)
- November 11Th 2015 (2)
- Ntp (2)
- Oci Iam (2)
- Oem12C (2)
- Omspatcher (2)
- Opatchauto (2)
- Open Source Database (2)
- Operational Excellence (2)
- Oracle 11G (2)
- Oracle Datase (2)
- Oracle Extended Manager (Oem) (2)
- Oracle Flashback (2)
- Oracle Forms (2)
- Oracle Installation (2)
- Oracle Io Testing (2)
- Pdb (2)
- Podcast (2)
- Puppet (2)
- Pythian Europe (2)
- R12.2 (2)
- Redshift (2)
- Remote DBA (2)
- Remote Sre (2)
- SAP (2)
- SAP HANA Cloud (2)
- Sap Migration (2)
- Scale (2)
- Schema (2)
- September 30Th 2015 (2)
- September 3Rd 2015 (2)
- Shell (2)
- Simon Pane (2)
- Single Sign-On (2)
- Sql Server On Gke (2)
- Sqlplus (2)
- Sre (2)
- Ssis Catalog Error (2)
- Ssisdb (2)
- Standby (2)
- Statspack Mining (2)
- Systemstate Dump (2)
- Tablespace (2)
- Technical Training (2)
- Tempdb (2)
- Tfa (2)
- Throughput (2)
- Tls (2)
- Tombstones (2)
- Transactional Replication (2)
- User Groups (2)
- Vagrant (2)
- Variables (2)
- Virtual Machine (2)
- Virtual Machines (2)
- Virtualbox (2)
- Web Application Firewall (2)
- Webinars (2)
- X5 (2)
- scalability (2)
- //Build2019 (1)
- 11G (1)
- 12.1 (1)
- 12Cr1 (1)
- 12Cr2 (1)
- 18C Grid Installation (1)
- 2022 (1)
- 2022 Snowflake Summit (1)
- AI Platform (1)
- AI Summit (1)
- Actifio (1)
- Active Directory (1)
- Adaptive Hash Index (1)
- Adf Custom Email (1)
- Adobe Flash (1)
- Adrci (1)
- Advanced Data Services (1)
- Afd (1)
- After Logon Trigger (1)
- Ahf (1)
- Aix (1)
- Akka (1)
- Alloydb (1)
- Alter Table (1)
- Always On (1)
- Always On Listener (1)
- Alwayson With Gke (1)
- Amazon (1)
- Amazon Athena (1)
- Amazon Aurora Backtrack (1)
- Amazon Efs (1)
- Amazon Redshift (1)
- Amazon Sagemaker (1)
- Amazon Vpc Flow Logs (1)
- Amdu (1)
- Analysis (1)
- Analytical Models (1)
- Analyzing Bigquery Via Sheets (1)
- Anisble (1)
- Annual Mysql Community Dinner (1)
- Anthos (1)
- Apache (1)
- Apache Nifi (1)
- Apache Spark (1)
- Application Migration (1)
- Architect (1)
- Architecture (1)
- Ash (1)
- Asmlib (1)
- Atlas CLI (1)
- Audit In Postgres (1)
- Audit In Postgresql (1)
- Auto Failover (1)
- Auto Increment (1)
- Auto Index (1)
- Autoconfig (1)
- Automated Reports (1)
- Automl (1)
- Autostart (1)
- Awr Mining (1)
- Aws Glue (1)
- Aws Lake Formation (1)
- Aws Lambda (1)
- Azure Analysis Services (1)
- Azure Blob Storage (1)
- Azure Cognitive Search (1)
- Azure Data (1)
- Azure Data Lake (1)
- Azure Data Lake Analytics (1)
- Azure Data Lake Store (1)
- Azure Data Migration Service (1)
- Azure Dma (1)
- Azure Dms (1)
- Azure Document Intelligence (1)
- Azure Integration Runtime (1)
- Azure OpenAI (1)
- Azure Sql Data Warehouse (1)
- Azure Sql Dw (1)
- Azure Sql Managed Instance (1)
- Azure Vm (1)
- Backup For Sql Server (1)
- Bacpac (1)
- Bag (1)
- Bare Metal Solution (1)
- Batch Operation (1)
- Batches In Cassandra (1)
- Beats (1)
- Best Practice (1)
- Bi Publisher (1)
- Binary Logging (1)
- Bind Variables (1)
- Bitnami (1)
- Blob Storage Endpoint (1)
- Blockchain (1)
- Browsers (1)
- Btp Architecture (1)
- Btp Components (1)
- Buffer Pool (1)
- Bug (1)
- Bugs (1)
- Build 2019 Updates (1)
- Build Cassandra (1)
- Bundle Patch (1)
- Bushy Join (1)
- Business Continuity (1)
- Business Insights (1)
- Business Process Modelling (1)
- Business Reputation (1)
- CAPEX (1)
- Capacity Planning (1)
- Career (1)
- Career Development (1)
- Cassandra-Cli (1)
- Catcon.Pm (1)
- Catctl.Pl (1)
- Catupgrd.Sql (1)
- Cbo (1)
- Cdb Duplication (1)
- Certificate (1)
- Certificate Management (1)
- Chaos Engineering (1)
- Cheatsheet (1)
- Checkactivefilesandexecutables (1)
- Chmod (1)
- Chown (1)
- Chrome Enterprise (1)
- Chrome Security (1)
- Cl-Series (1)
- Cleanup (1)
- Cloud Browser (1)
- Cloud Build (1)
- Cloud Consulting (1)
- Cloud Data Warehouse (1)
- Cloud Database Management (1)
- Cloud Dataproc (1)
- Cloud Foundry (1)
- Cloud Manager (1)
- Cloud Migations (1)
- Cloud Networking (1)
- Cloud SQL Replica (1)
- Cloud Scheduler (1)
- Cloud Services (1)
- Cloud Strategies (1)
- Cloudformation (1)
- Cluster Resource (1)
- Cmo (1)
- Cockroach Db (1)
- Coding Benchmarks (1)
- Colab (1)
- Collectd (1)
- Columnar (1)
- Communication Plans (1)
- Community (1)
- Compact Storage (1)
- Compaction (1)
- Compliance (1)
- Compression (1)
- Compute Instances (1)
- Compute Node (1)
- Concurrent Manager (1)
- Concurrent Processing (1)
- Configuration (1)
- Consistency Level (1)
- Consolidation (1)
- Conversational AI (1)
- Covid-19 (1)
- Cpu Patching (1)
- Cqlsstablewriter (1)
- Crash (1)
- Create Catalog Error (1)
- Create_File_Dest (1)
- Credentials (1)
- Cross Platform (1)
- CrowdStrike (1)
- Crsctl (1)
- Custom Instance Images (1)
- Cve-2022-21500 (1)
- Cvu (1)
- Cypher Queries (1)
- DBSAT 3 (1)
- Dacpac (1)
- Dag (1)
- Data Analysis (1)
- Data Analytics Platform (1)
- Data Box (1)
- Data Classification (1)
- Data Cleansing (1)
- Data Encryption (1)
- Data Engineering (1)
- Data Estate (1)
- Data Flow Management (1)
- Data Insights (1)
- Data Integrity (1)
- Data Lake (1)
- Data Leader (1)
- Data Lifecycle Management (1)
- Data Lineage (1)
- Data Masking (1)
- Data Mesh (1)
- Data Migration Assistant (1)
- Data Migration Service (1)
- Data Mining (1)
- Data Modeling (1)
- Data Monetization (1)
- Data Policy (1)
- Data Profiling (1)
- Data Protection (1)
- Data Retention (1)
- Data Safe (1)
- Data Sheets (1)
- Data Summit (1)
- Data Vault (1)
- Data Warehouse Modernization (1)
- Database Auditing (1)
- Database Consultant (1)
- Database Link (1)
- Database Modernization (1)
- Database Provisioning (1)
- Database Provisioning Failed (1)
- Database Replication (1)
- Database Scaling (1)
- Database Schemas (1)
- Database Security (1)
- Databricks (1)
- Datadog (1)
- Datafile (1)
- Datapatch (1)
- Dataprivacy (1)
- Datascape 59 (1)
- Datasets (1)
- Datastax Cassandra (1)
- Datastax Opscenter (1)
- Datasync Error (1)
- Db_Create_File_Dest (1)
- Dbaas (1)
- Dbatools (1)
- Dbcc Checkident (1)
- Dbms_Cloud (1)
- Dbms_File_Transfer (1)
- Dbms_Metadata (1)
- Dbms_Service (1)
- Dbms_Stats (1)
- Dbupgrade (1)
- Deep Learning (1)
- Delivery (1)
- Devd (1)
- Dgbroker (1)
- Dialogflow (1)
- Dict0Dict (1)
- Did You Know (1)
- Direct Path Read Temp (1)
- Disk Groups (1)
- Disk Management (1)
- Diskgroup (1)
- Dispatchers (1)
- Distributed Ag (1)
- Distribution Agent (1)
- Documentation (1)
- Download (1)
- Dp Agent (1)
- Duet AI (1)
- Duplication (1)
- Dynamic Sampling (1)
- Dynamic Tasks (1)
- E-Business Suite Cpu Patching (1)
- E-Business Suite Patching (1)
- Ebs Sso (1)
- Ec2 (1)
- Edb Postgresql Advanced Server (1)
- Edb Postgresql Password Verify Function (1)
- Editions (1)
- Edp (1)
- El Carro (1)
- Elassandra (1)
- Elk Stack (1)
- Em13Cr2 (1)
- Emcli (1)
- End of Life (1)
- Engineering (1)
- Enqueue (1)
- Enterprise (1)
- Enterprise Architecture (1)
- Enterprise Command Centers (1)
- Enterprise Manager Command Line Interface (Em Cli (1)
- Enterprise Plus (1)
- Episode 58 (1)
- Error Handling (1)
- Exacc (1)
- Exacheck (1)
- Exacs (1)
- Exadata Asr (1)
- Execution (1)
- Executive Sponsor (1)
- Expenditure (1)
- Export Sccm Collection To Csv (1)
- External Persistent Volumes (1)
- Fail (1)
- Failed Upgrade (1)
- Failover In Postgresql (1)
- Fall 2021 (1)
- Fast Recovery Area (1)
- FinOps Strategy (1)
- Flash Recovery Area (1)
- Flashback (1)
- Fnd (1)
- Fndsm (1)
- Force_Matching_Signature (1)
- Fra Full (1)
- Framework (1)
- Freebsd (1)
- Fsync (1)
- Function-Based Index (1)
- GCVE Architecture (1)
- GPQA (1)
- Gaming (1)
- Garbagecollect (1)
- Gcp Compute (1)
- Gcp-Spanner (1)
- Geography (1)
- Geth (1)
- Getmospatch (1)
- Git (1)
- Global Analytics (1)
- Gmail (1)
- Gmail Security (1)
- Google Analytics (1)
- Google Cloud Architecture Framework (1)
- Google Cloud Data Services (1)
- Google Cloud Partner (1)
- Google Cloud Spanner (1)
- Google Cloud VMware Engine (1)
- Google Compute Engine (1)
- Google Dataflow (1)
- Google Datalab (1)
- Google Grab And Go (1)
- Google Sheets (1)
- Gp2 (1)
- Graph Algorithms (1)
- Graph Databases (1)
- Graph Inferences (1)
- Graph Theory (1)
- GraphQL (1)
- Graphical User Interface (Gui) (1)
- Grid (1)
- Grid Infrastructure (1)
- Griddisk Resize (1)
- Grp (1)
- Guaranteed Restore Point (1)
- Guid Mismatch (1)
- HR Technology (1)
- HRM (1)
- Ha (1)
- Hang (1)
- Hashicorp (1)
- Hbase (1)
- Hcc (1)
- Hdinsight (1)
- Healthcheck (1)
- Hemantgiri S. Goswami (1)
- Hortonworks (1)
- How To Install Ssrs (1)
- Hr (1)
- Httpchk (1)
- Https (1)
- Huge Pages (1)
- HumanEval (1)
- Hung Database (1)
- Hybrid Columnar Compression (1)
- Hyper-V (1)
- Hyperscale (1)
- Hypothesis Driven Development (1)
- Ibm (1)
- Identity Management (1)
- Idm (1)
- Ilom (1)
- Imageinfo (1)
- Impdp (1)
- In Place Upgrade (1)
- Incident Response (1)
- Indempotent (1)
- Indexing In Mongodb (1)
- Influxdb (1)
- Information (1)
- Infrastructure As A Code (1)
- Injection (1)
- Innobackupex (1)
- Innodb Concurrency (1)
- Innodb Flush Method (1)
- Insights (1)
- Installing (1)
- Instance Cloning (1)
- Integration Services (1)
- Integrations (1)
- Interactive_Timeout (1)
- Interval Partitioning (1)
- Invisible Indexes (1)
- Io1 (1)
- IoT (1)
- Iops (1)
- Iphone (1)
- Ipv6 (1)
- Iscsi (1)
- Iscsi-Initiator-Utils (1)
- Iscsiadm (1)
- Issues (1)
- It Industry (1)
- It Teams (1)
- JMX Metrics (1)
- Jared Still (1)
- Javascript (1)
- Jdbc (1)
- Jinja2 (1)
- Jmx (1)
- Jmx Monitoring (1)
- Jvm (1)
- Jython (1)
- K8S (1)
- Kernel (1)
- Key Btp Components (1)
- Kfed (1)
- Kill Sessions (1)
- Knapsack (1)
- Kubeflow (1)
- LMSYS Chatbot Arena (1)
- Large Pages (1)
- Latency (1)
- Latest News (1)
- Leadership (1)
- Leap Second (1)
- Limits (1)
- Line 1 (1)
- Linkcolumn (1)
- Linux Host Monitoring (1)
- Linux Storage Appliance (1)
- Listener (1)
- Loadavg (1)
- Lock_Sga (1)
- Locks (1)
- Log File Switch (Archiving Needed) (1)
- Logfile (1)
- Looker (1)
- Lvm (1)
- MMLU (1)
- Managed Instance (1)
- Managed Services (1)
- Management (1)
- Management Servers (1)
- Marketing (1)
- Marketing Analytics (1)
- Martech (1)
- Masking (1)
- Megha Bedi (1)
- Metadata (1)
- Method-R Workbench (1)
- Metric (1)
- Metric Extensions (1)
- Michelle Gutzait (1)
- Microservices (1)
- Microsoft Azure Sql Database (1)
- Microsoft Build (1)
- Microsoft Build 2019 (1)
- Microsoft Ignite (1)
- Microsoft Inspire 2019 (1)
- Migrate (1)
- Migrating Ssis Catalog (1)
- Migrating To Azure Sql (1)
- Migration Checklist (1)
- Mirroring (1)
- Mismatch (1)
- Model Governance (1)
- Monetization (1)
- MongoDB Atlas (1)
- MongoDB Compass (1)
- Ms Excel (1)
- Msdtc (1)
- Msdtc In Always On (1)
- Msdtc In Cluster (1)
- Multi-IP (1)
- Multicast (1)
- Multipath (1)
- My.Cnf (1)
- MySQL Shell Logical Backup (1)
- MySQLDump (1)
- Mysql Enterprise (1)
- Mysql Plugin For Oracle Enterprise Manager (1)
- Mysql Replication Filters (1)
- Mysql Server (1)
- Mysql-Python (1)
- Nagios (1)
- Ndb (1)
- Net_Read_Timeout (1)
- Net_Write_Timeout (1)
- Netcat (1)
- Newsroom (1)
- Nfs (1)
- Nifi (1)
- Node (1)
- November 10Th 2015 (1)
- November 6Th 2015 (1)
- Null Columns (1)
- Nullipotent (1)
- OPEX (1)
- ORAPKI (1)
- O_Direct (1)
- Oacore (1)
- October 21St 2015 (1)
- October 6Th 2015 (1)
- October 8Th 2015 (1)
- Oda (1)
- Odbcs (1)
- Odbs (1)
- Odi (1)
- Oel (1)
- Ohs (1)
- Olvm (1)
- On-Prem To Azure Sql (1)
- On-Premises (1)
- Onclick (1)
- Open.Canada.Ca (1)
- Openstack (1)
- Operating System Monitoring (1)
- Oplog (1)
- Opsworks (1)
- Optimization (1)
- Optimizer (1)
- Ora-01852 (1)
- Ora-7445 (1)
- Oracle 19 (1)
- Oracle 20C (1)
- Oracle Cursor (1)
- Oracle Database 12.2 (1)
- Oracle Database Appliance (1)
- Oracle Database Se2 (1)
- Oracle Database Standard Edition 2 (1)
- Oracle Database Upgrade (1)
- Oracle Database@Google Cloud (1)
- Oracle Exadata Smart Scan (1)
- Oracle Licensing (1)
- Oracle Linux Virtualization Manager (1)
- Oracle Oda (1)
- Oracle Openworld (1)
- Oracle Parallelism (1)
- Oracle Rdbms (1)
- Oracle Real Application Clusters (1)
- Oracle Reports (1)
- Oracle Security (1)
- Oracle Wallet (1)
- Orasrp (1)
- Organizational Change (1)
- Orion (1)
- Os (1)
- Osbws_Install.Jar (1)
- Oui Gui (1)
- Output (1)
- Owox (1)
- Paas (1)
- Package Deployment Wizard Error (1)
- Parallel Execution (1)
- Parallel Query (1)
- Parallel Query Downgrade (1)
- Partitioning (1)
- Partitions (1)
- Password (1)
- Password Change (1)
- Password Recovery (1)
- Password Verify Function In Postgresql (1)
- Patches (1)
- Patchmgr (1)
- Pdb Duplication (1)
- Penalty (1)
- Perfomrance (1)
- Performance Schema (1)
- Pg 15 (1)
- Pg_Rewind (1)
- Pga (1)
- Pipeline Debugging (1)
- Pivot (1)
- Planning (1)
- Plsql (1)
- Policy (1)
- Polybase (1)
- Post-Acquisition (1)
- Post-Covid It (1)
- Postgresql Complex Password (1)
- Postgresql With Repmgr Integration (1)
- Power Bi (1)
- Pq (1)
- Preliminar Connection (1)
- Preliminary Connection (1)
- Privatecloud (1)
- Process Mining (1)
- Production (1)
- Productivity (1)
- Profile In Edb Postgresql (1)
- Programming (1)
- Prompt Engineering (1)
- Provisioned Iops (1)
- Provisiones Iops (1)
- Proxy Monitoring (1)
- Psu (1)
- Public Cloud (1)
- Pubsub (1)
- Purge (1)
- Purge Thread (1)
- Pythian Blackbird Acquisition (1)
- Pythian Goodies (1)
- Pythian News (1)
- Python Pandas (1)
- Query Performance (1)
- Quicksight (1)
- Quota Limits (1)
- R12 R12.2 Cp Concurrent Processing Abort (1)
- R12.1.3 (1)
- REF! (1)
- Ram Cache (1)
- Rbac (1)
- Rdb (1)
- Rds_File_Util (1)
- Read Free Replication (1)
- Read Latency (1)
- Read Only (1)
- Read Replica (1)
- Reboot (1)
- Recruiting (1)
- Redo Size (1)
- Relational Database Management System (1)
- Release (1)
- Release Automation (1)
- Repair (1)
- Replication Compatibility (1)
- Replication Error (1)
- Repmgr (1)
- Repmgrd (1)
- Reporting Services 2019 (1)
- Resiliency Planning (1)
- Resource Manager (1)
- Resources (1)
- Restore (1)
- Restore Point (1)
- Retail (1)
- Rhel (1)
- Risk (1)
- Risk Management (1)
- Rocksrb (1)
- Role In Postgresql (1)
- Rollback (1)
- Rolling Patch (1)
- Row0Purge (1)
- Rpm (1)
- Rule "Existing Clustered Or Clustered-Prepared In (1)
- Running Discovery On Remote Machine (1)
- SQL Optimization (1)
- SQL Tracing (1)
- SSRS Administration (1)
- SaaS (1)
- Sap Assessment (1)
- Sap Assessment Report (1)
- Sap Backup Restore (1)
- Sap Btp Architecture (1)
- Sap Btp Benefits (1)
- Sap Btp Model (1)
- Sap Btp Services (1)
- Sap Homogenous System Copy Method (1)
- Sap Landscape Copy (1)
- Sap Migration Assessment (1)
- Sap On Mssql (1)
- Sap System Copy (1)
- Sar (1)
- Scaling Ir (1)
- Sccm (1)
- Sccm Powershell (1)
- Scheduler (1)
- Scheduler_Job (1)
- Schedulers (1)
- Scheduling (1)
- Scott Mccormick (1)
- Scripts (1)
- Sdp (1)
- Secrets (1)
- Securing Sql Server (1)
- Security Compliance (1)
- Sed (Stream Editor) (1)
- Self Hosted Ir (1)
- Semaphore (1)
- Seps (1)
- September 11Th 2015 (1)
- Serverless Computing (1)
- Serverless Framework (1)
- Service Broker (1)
- Service Bus (1)
- Shared Connections (1)
- Shared Storage (1)
- Shellshock (1)
- Signals (1)
- Silent (1)
- Slave (1)
- Slob (1)
- Smart Scan (1)
- Smtp (1)
- Snapshot (1)
- Snowday Fall 2021 (1)
- Socat (1)
- Software Development (1)
- Software Engineering (1)
- Solutions Architecture (1)
- Spanner-Backups (1)
- Sphinx (1)
- Split Brain In Postgresql (1)
- Spm (1)
- Sql Agent (1)
- Sql Backup To Url Error (1)
- Sql Cluster Installer Hang (1)
- Sql Database (1)
- Sql Developer (1)
- Sql On Linux (1)
- Sql Server 2014 (1)
- Sql Server 2016 (1)
- Sql Server Agent On Linux (1)
- Sql Server Backups (1)
- Sql Server Denali Is Required To Install Integrat (1)
- Sql Server Health Check (1)
- Sql Server Troubleshooting On Linux (1)
- Sql Server Version (1)
- Sql Setup (1)
- Sql Vm (1)
- Sql2K19Ongke (1)
- Sqldatabase Serverless (1)
- Ssh User Equivalence (1)
- Ssis Denali Error (1)
- Ssis Install Error E Xisting Clustered Or Cluster (1)
- Ssis Package Deployment Error (1)
- Ssisdb Master Key (1)
- Ssisdb Restore Error (1)
- Sso (1)
- Ssrs 2019 (1)
- Sstable2Json (1)
- Sstableloader (1)
- Sstablesimpleunsortedwriter (1)
- Stack Dump (1)
- Standard Edition (1)
- Startup Process (1)
- Statistics (1)
- Statspack (1)
- Statspack Data Mining (1)
- Statspack Erroneously Reporting (1)
- Statspack Issues (1)
- Storage (1)
- Stored Procedure (1)
- Strategies (1)
- Streaming (1)
- Sunos (1)
- Swap (1)
- Swapping (1)
- Switch (1)
- Syft (1)
- Synapse (1)
- Sync Failed There Is Not Enough Space On The Disk (1)
- Sys Schema (1)
- System Function (1)
- Systems Administration (1)
- T-Sql (1)
- Table Optimization (1)
- Tablespace Growth (1)
- Tablespaces (1)
- Tags (1)
- Tar (1)
- Tde (1)
- Team Management (1)
- Tech Debt (1)
- Technology (1)
- Telegraf (1)
- Tempdb Encryption (1)
- Templates (1)
- Temporary Tablespace (1)
- Tenserflow (1)
- Teradata (1)
- Testing New Cassandra Builds (1)
- There Is Not Enough Space On The Disk (1)
- Thick Data (1)
- Third-Party Data (1)
- Thrift (1)
- Thrift Data (1)
- Tidb (1)
- Time Series (1)
- Time-Drift (1)
- Tkprof (1)
- Tmux (1)
- Tns (1)
- Trace (1)
- Tracefile (1)
- Training (1)
- Transaction Log (1)
- Transactions (1)
- Transformation Navigator (1)
- Transparent Data Encryption (1)
- Trigger (1)
- Triggers On Memory-Optimized Tables Must Use With (1)
- Troubleshooting (1)
- Tungsten (1)
- Tvdxtat (1)
- Twitter (1)
- U-Sql (1)
- UNDO Tablespace (1)
- Upgrade Issues (1)
- Uptime (1)
- Uptrade (1)
- Url Backup Error (1)
- Usability (1)
- Use Cases (1)
- User (1)
- User Defined Compactions (1)
- Utilization (1)
- Utl_Smtp (1)
- VDI Jump Host (1)
- Validate Structure (1)
- Validate_Credentials (1)
- Value (1)
- Velocity (1)
- Vertex AI (1)
- Vertica (1)
- Vertical Slicing (1)
- Videos (1)
- Virtual Private Cloud (1)
- Virtualization (1)
- Vision (1)
- Vpn (1)
- Wait_Timeout (1)
- Wallet (1)
- Webhook (1)
- Weblogic Connection Filters (1)
- Webscale Database (1)
- Windows 10 (1)
- Windows Powershell (1)
- WiredTiger (1)
- With Native_Compilation (1)
- Word (1)
- Workshop (1)
- Workspace Security (1)
- Xbstream (1)
- Xml Publisher (1)
- Zabbix (1)
- dbms_Monitor (1)
- postgresql 16 (1)
- sqltrace (1)
- tracing (1)
- vSphere (1)
- xml (1)
- October 2024 (2)
- September 2024 (7)
- August 2024 (4)
- July 2024 (2)
- June 2024 (6)
- May 2024 (3)
- April 2024 (2)
- February 2024 (2)
- January 2024 (11)
- December 2023 (10)
- November 2023 (11)
- October 2023 (10)
- September 2023 (8)
- August 2023 (7)
- July 2023 (2)
- June 2023 (13)
- May 2023 (4)
- April 2023 (6)
- March 2023 (10)
- February 2023 (6)
- January 2023 (5)
- December 2022 (10)
- November 2022 (10)
- October 2022 (10)
- September 2022 (13)
- August 2022 (16)
- July 2022 (12)
- June 2022 (13)
- May 2022 (11)
- April 2022 (4)
- March 2022 (5)
- February 2022 (4)
- January 2022 (14)
- December 2021 (16)
- November 2021 (11)
- October 2021 (7)
- September 2021 (11)
- August 2021 (6)
- July 2021 (9)
- June 2021 (4)
- May 2021 (8)
- April 2021 (16)
- March 2021 (16)
- February 2021 (6)
- January 2021 (12)
- December 2020 (12)
- November 2020 (17)
- October 2020 (11)
- September 2020 (10)
- August 2020 (11)
- July 2020 (13)
- June 2020 (6)
- May 2020 (9)
- April 2020 (18)
- March 2020 (21)
- February 2020 (13)
- January 2020 (15)
- December 2019 (10)
- November 2019 (11)
- October 2019 (12)
- September 2019 (16)
- August 2019 (15)
- July 2019 (10)
- June 2019 (16)
- May 2019 (20)
- April 2019 (21)
- March 2019 (14)
- February 2019 (18)
- January 2019 (18)
- December 2018 (5)
- November 2018 (16)
- October 2018 (12)
- September 2018 (20)
- August 2018 (27)
- July 2018 (31)
- June 2018 (34)
- May 2018 (28)
- April 2018 (27)
- March 2018 (17)
- February 2018 (8)
- January 2018 (20)
- December 2017 (14)
- November 2017 (4)
- October 2017 (1)
- September 2017 (3)
- August 2017 (5)
- July 2017 (4)
- June 2017 (2)
- May 2017 (7)
- April 2017 (7)
- March 2017 (8)
- February 2017 (8)
- January 2017 (5)
- December 2016 (3)
- November 2016 (4)
- October 2016 (8)
- September 2016 (9)
- August 2016 (10)
- July 2016 (9)
- June 2016 (8)
- May 2016 (13)
- April 2016 (16)
- March 2016 (13)
- February 2016 (11)
- January 2016 (6)
- December 2015 (11)
- November 2015 (11)
- October 2015 (5)
- September 2015 (16)
- August 2015 (4)
- July 2015 (1)
- June 2015 (3)
- May 2015 (6)
- April 2015 (5)
- March 2015 (5)
- February 2015 (4)
- January 2015 (3)
- December 2014 (7)
- October 2014 (4)
- September 2014 (6)
- August 2014 (6)
- July 2014 (16)
- June 2014 (7)
- May 2014 (6)
- April 2014 (5)
- March 2014 (4)
- February 2014 (10)
- January 2014 (6)
- December 2013 (8)
- November 2013 (12)
- October 2013 (9)
- September 2013 (6)
- August 2013 (7)
- July 2013 (9)
- June 2013 (7)
- May 2013 (7)
- April 2013 (4)
- March 2013 (7)
- February 2013 (4)
- January 2013 (4)
- December 2012 (6)
- November 2012 (8)
- October 2012 (9)
- September 2012 (3)
- August 2012 (5)
- July 2012 (5)
- June 2012 (7)
- May 2012 (11)
- April 2012 (1)
- March 2012 (8)
- February 2012 (1)
- January 2012 (6)
- December 2011 (8)
- November 2011 (5)
- October 2011 (9)
- September 2011 (6)
- August 2011 (4)
- July 2011 (1)
- June 2011 (1)
- May 2011 (5)
- April 2011 (2)
- February 2011 (2)
- January 2011 (2)
- December 2010 (1)
- November 2010 (7)
- October 2010 (3)
- September 2010 (8)
- August 2010 (2)
- July 2010 (4)
- June 2010 (7)
- May 2010 (2)
- April 2010 (1)
- March 2010 (3)
- February 2010 (3)
- January 2010 (2)
- November 2009 (6)
- October 2009 (6)
- August 2009 (3)
- July 2009 (3)
- June 2009 (3)
- May 2009 (2)
- April 2009 (8)
- March 2009 (6)
- February 2009 (4)
- January 2009 (3)
- November 2008 (3)
- October 2008 (7)
- September 2008 (6)
- August 2008 (9)
- July 2008 (9)
- June 2008 (9)
- May 2008 (9)
- April 2008 (8)
- March 2008 (4)
- February 2008 (3)
- January 2008 (3)
- December 2007 (2)
- November 2007 (7)
- October 2007 (1)
- August 2007 (4)
- July 2007 (3)
- June 2007 (8)
- May 2007 (4)
- April 2007 (2)
- March 2007 (2)
- February 2007 (5)
- January 2007 (8)
- December 2006 (1)
- November 2006 (3)
- October 2006 (4)
- September 2006 (3)
- July 2006 (1)
- May 2006 (2)
- April 2006 (1)
- July 2005 (1)
No Comments Yet
Let us know what you think