C2090-311 exam Dumps Source : IBM DB2 10.5 DBA for LUW Upgrade from DB2 10.1
Test Code : C2090-311
Test appellation : IBM DB2 10.5 DBA for LUW Upgrade from DB2 10.1
Vendor appellation : IBM
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In September 2018, IBM introduced a unusual product, IBM Db2 AI for z/OS. This ersatz intelligence engine monitors records access patterns from executing SQL statements, makes employ of laptop researching algorithms to determine upon greatest patterns and passes this assistance to the Db2 query optimizer to breathe used by using subsequent statements.desktop learning on the IBM z Platform
In may additionally of 2018, IBM introduced edition 1.2 of its computing device discovering for z/OS (MLz) product. here's a hybrid zServer and cloud software suite that ingests efficiency facts, analyzes and builds models that symbolize the fitness reputation of a considerable number of symptoms, screens them over time and provides actual-time scoring capabilities.
several facets of this product offering are geared toward helping a community of mannequin developers and managers. as an instance:
This computer researching suite turned into at first geared toward zServer-based analytics purposes. some of the first glaring choices changed into zSystem efficiency monitoring and tuning. gadget administration Facility (SMF) records that are automatically generated by the operating system provide the raw facts for device resource consumption such as germane processor usage, I/O processing, reminiscence paging and so on. IBM MLz can collect and withhold these facts over time, and construct and school fashions of device habits, score these behaviors, establish patterns no longer without problems foreseen by course of humans, forward key performance indicators (KPIs) and then feed the model effects returned into the device to impress gadget configuration alterations that can enhance performance.
The next step turned into to implement this suite to anatomize Db2 efficiency data. One answer, known as the IBM Db2 IT Operational Analytics (Db2 ITOA) retort template, applies the computing device studying know-how to Db2 operational statistics to profit an knowing of Db2 subsystem fitness. it might probably dynamically build baselines for key performance indicators, give a dashboard of those KPIs and provides operational team of workers precise-time insight into Db2 operations.
whereas common Db2 subsystem performance is a vital factor in typical utility fitness and performance, IBM estimates that the DBA attend staff spends 25% or extra of its time, " ... fighting entry direction issues which trigger efficiency degradation and repair influence.". (See Reference 1).AI involves Db2
trust the plight of modern DBAs in a Db2 environment. In present day IT world they must aid one or extra Big records applications, cloud application and database capabilities, application installation and configuration, Db2 subsystem and utility performance tuning, database definition and administration, catastrophe restoration planning, and more. question tuning has been in being considering that the origins of the database, and DBAs are usually tasked with this as well.
The heart of query course evaluation in Db2 is the Optimizer. It accepts SQL statements from functions, verifies authority to access the statistics, reviews the areas of the objects to breathe accessed and develops an inventory of candidate data entry paths. These entry paths can embrace indexes, desk scans, numerous desk link strategies and others. within the information warehouse and great information environments there are continually additional choices accessible. One of those is the being of abstract tables (now and again referred to as materialized query tables) that accommodate pre-summarized or aggregated records, as a consequence allowing Db2 to remain away from re-aggregation processing. one more option is the starjoin access course, regular in the information warehouse, the status the order of desk joins is changed for performance motives.
The Optimizer then studies the candidate access paths and chooses the entry course, "with the lowest cost." can impregnate in this context capacity a weighted summation of resource utilization together with CPU, I/O, reminiscence and different supplies. at last, the Optimizer takes the lowest impregnate entry path, retailers it in reminiscence (and, optionally, in the Db2 directory) and starts access course execution.
massive facts and facts warehouse operations now consist of application suites that allow the company analyst to develop employ of a graphical interface to build and manipulate a miniature data model of the information they need to analyze. The programs then generate SQL statements in line with the clients’ requests.
The problem for the DBA
in order to attain respectable analytics on your assorted data stores you need a genuine figuring out of the information requirements, an knowing of the analytical functions and algorithms available and a excessive-performance data infrastructure. sadly, the quantity and location of statistics sources is increasing (both in measurement and in geography), records sizes are growing, and purposes continue to proliferate in quantity and complexity. How may silent IT managers usher this ambiance, specifically with essentially the most experienced and age group of workers nearing retirement?
be cognizant additionally that a great share of reducing the total impregnate of possession of these methods is to regain Db2 functions to rush faster and greater successfully. This continually interprets into the employ of fewer CPU cycles, doing fewer I/Os and transporting much less records across the network. on account that it's regularly tangled to even determine which applications might profit from efficiency tuning, one approach is to automate the detection and correction of tuning concerns. this is where desktop researching and synthetic intelligence can too breathe used to extraordinary effect.Db2 12 for z/OS and synthetic Intelligence
Db2 edition 12 on z/OS makes employ of the computing device discovering amenities outlined above to collect and shop SQL question textual content and access path details, in addition to precise efficiency-linked ancient suggestions akin to CPU time used, elapsed instances and influence set sizes. This offering, described as Db2 AI for z/OS, analyzes and retailers the information in computer learning fashions, with the mannequin evaluation consequences then being scored and made accessible to the Db2 Optimizer. The subsequent time a scored SQL observation is encountered, the Optimizer can then employ the model scoring information as enter to its access route alternative algorithm.
The influence should silent breathe a reduction in CPU consumption because the Optimizer uses mannequin scoring input to opt for more desirable access paths. This then lowers CPU expenses and speeds application response times. a major competencies is that the usage of AI software does not require the DBA to gain statistics science potential or profound insights into question tuning methodologies. The Optimizer now chooses the ultimate entry paths primarily based no longer only on SQL query syntax and statistics distribution records but on modelled and scored stale performance.
This may too breathe mainly vital if you shop facts in numerous locations. as an example, many analytical queries against Big facts require concurrent access to certain records warehouse tables. These tables are commonly called dimension tables, and that they accommodate the statistics elements continually used to handle subsetting and aggregation. as an example, in a retail ambiance believe a table known as StoreLocation that enumerates every withhold and its region code. Queries towards deliver revenue statistics may too need to compund or summarize sales with the aid of region; therefore, the StoreLocation desk could breathe used by using some great records queries. during this atmosphere it is commonplace to recall the dimension tables and duplicate them continually to the huge facts application. in the IBM world this status is the IBM Db2 Analytics Accelerator (IDAA).
Now suppose about SQL queries from each operational purposes, statistics warehouse users and great data commerce analysts. From Db2's perspective, whole these queries are equal, and are forwarded to the Optimizer. despite the fact, within the case of operational queries and warehouse queries they should undoubtedly breathe directed to entry the StoreLocation table within the warehouse. nevertheless, the query from the company analyst against Big information tables may silent probably access the replica of the desk there. This outcomes in a proliferations of competencies entry paths, and extra drudgery for the Optimizer. fortuitously, Db2 AI for z/OS can deliver the Optimizer the recommendation it must develop smart entry direction decisions.the course it Works
The sequence of hobbies in Db2 AI for z/OS (See Reference 2) is frequently here:
There are additionally numerous person interfaces that supply the administrator visibility to the fame of the gathered SQL statement efficiency data and mannequin scoring.summary
IBM's laptop researching for zOS (MLz) offering is being used to fabulous outcome in Db2 version 12 to enhance the performance of analytical queries as well as operational queries and their linked purposes. This requires management consideration, as you gain to assess that your commerce is ready to devour these ML and AI conclusions. How will you measure the expenses and merits of the employ of desktop studying? Which IT aid workforce must breathe tasked to reviewing the outcomes of mannequin scoring, and maybe approving (or overriding) the results? How will you evaluate and warrant the assumptions that the utility makes about access route selections?
In other phrases, how well attain you know your information, its distribution, its integrity and your present and proposed entry paths? this can assess the status the DBAs expend their time in aiding analytics and operational utility efficiency.
# # #
John Campbell, IBM Db2 exceptional EngineerFrom "IBM Db2 AI for z/OS: enhance IBM Db2 software performance with laptop studying"https://www.worldofdb2.com/activities/ibm-db2-ai-for-z-os-raise-ibm-db2-software-efficiency-with-ma
Db2 AI for z/OShttps://www.ibm.com/help/knowledgecenter/en/SSGKMA_1.1.0/src/ai/ai_home.html
See whole articles with the aid of Lockwood Lyon
IBM DB2 is a relational DBMS with built-in aid for a brace of NoSQL capabilities, together with XML, graph store and Java Script demur Notation (JSON). Used by agencies of whole sizes, DB2 offers a data platform for each transactional and analytical operations in addition to continuous availability of facts to retain transactional workflows and analytics operating successfully.OSes DB2 supports
DB2 is purchasable for 3 simple structures:
DB2 supports these Unix variations: AIX, Solaris and HP-UX; Linux variations embrace purple Hat, SUSE, Ubuntu and Linux on pSeries and tackle z.
DB2 for i comes pre-installed on the iSeries server and, as such, may not breathe addressed here.DB2 aspects
The existing edition of DB2 for LUW is eleven.1, released in 2d quarter 2016. This release focuses on improvements to BLU Acceleration and pureScale functionality.
BLU Acceleration, added to DB2 in version 10.5, gives a column deliver ability, in addition to technological efficiency boosts for actionable compression, exploitation of the lone guideline distinctive information (SIMD) capabilities of concomitant CPUs, and statistics skipping know-how.
For DB2 11, BLU Acceleration will too breathe deployed across a massively parallel processing (MPP) network cluster structure. BLU Acceleration can breathe utilized in database partitioning facility environments for MPP scale out, which may help question efficiency for massive partitioned applications. additionally, this edition improves in-reminiscence capabilities for column-equipped tables and integration with IBM records Server manager to investigate workloads and investigate even if they can odds from column-oriented tables.
DB2 for LUW eleven too adds assist for top Availability catastrophe restoration, or HADR, in pureScale clustered DB2 databases. facts may too breathe mirrored from a chief pureScale database cluster to a second indigenous or remote standby cluster, thereby enhancing recoverability. An further development for pureScale is the birth of online repair pack supplant aid, permitting clients to rehearse DB2 11.1 fix packs to particular person members running in a pureScale cluster with no need to recall the total cluster offline.
On the protection entrance, DB2 11 allows the employ of enterprise key administration systems for storing indigenous encryption grasp keys. The DB2 superior recuperation feature is a bundle of database backup, healing and facts extraction tackle that may assist clients enhance availability, mitigate chance and optimize administrative initiatives.
The current version of DB2 for z/OS is eleven, which changed into released in October 2013. Highlights of DB2 11 for z/OS embrace performance and availability enhancements, more suitable analytics capabilities, application compatibility points, stronger entry direction steadiness and archive transparency. IBM additionally offers the IBM DB2 Analytics Accelerator, which is an add-on to DB2 for z/OS for speeding up analytical queries.
DB2 for LUW requires two configuration info: the Database manager configuration file containing configuration parameters for a whole illustration, and Database configuration information for every database.
DB2 for LUW is too embedded into IBM's database PureData appliance, enabling turnkey implementation of DB2 without the time-drinking setting up and configuration required of a traditional DBMS installation.
DB2 for z/OS is deliver in as a subsystem with add-ons for database capabilities, lock administration, distributed request processing and connecting to other mainframe brokers. The subsystem is configured with a group of parameters known as the DSNZPARMs.DB2 choices
As of edition 11, IBM presents eight variants of DB2 for LUW:
additionally, DB2 specific-C edition, an entry-level edition of the DB2 facts server for the developer and colleague neighborhood, is purchasable at no cost. It may too breathe installed on physical or digital systems with any quantity of CPU and RAM, and is optimized to expend to a highest of two cores and sixteen GB of memory.DB2 statistics forms
DB2 helps the everyday numeric, persona, and date/time information varieties neatly as LOBs, XML and person-defined types. JSON is supported by means of DB2 JSON, a driver-based mostly retort that can provide JSON records representation inside the context of an RDBMS.DB2 benchmarks
IBM has posted a lot of TPC benchmarks for DB2 on whole platforms supported. IBM sells DB2 for LUW direct, via enterprise companions, on-line and thru application selected licensing, which permits companies similar to SAP to license and promote DB2 relational DBMS as a share of their purposes.
Pricing is in accordance with processor cost unit (PVU), which is a unit of measure that IBM uses to license its application. IBM applies a PVU count number to each and every core of a processor. The pricing is then in line with the number of PVUs for the processor and by means of the number of processors made attainable to DB2.
The developer edition is licensed by authorized person, not PVU. There are extra nuances to pricing and licensing in line with DB2 editions that don't appear to breathe lined birthright here.DB2 licensing
The license impregnate for DB2 comprises first-yr champion and subscription, entitling the owner to contact IBM for attend in addition to to download fixes and enhancements to future models/releases of the product.
DB2 for z/OS relational DBMS is offered without detain through IBM and is licensed as a monthly license can impregnate (MLC) product. There are a great number of metrics available for pricing MLC products. A ninety-day free visitation down load is accessible from the IBM web page.
concerning the authorCraig S. Mullins is a knowledge administration strategist, researcher, consultant and creator with greater than 30 years of event in whole aspects of database techniques construction. he's president and censorious consultant of Mullins Consulting Inc. and writer/editor of TheDatabaseSite.com. e mail him at firstname.lastname@example.org.
electronic mail us at email@example.com and observe us on Twitter: @sDataManagement.
this text changed into updated in September 2016.
Configure Oracle SQL Developer to interact with a DB2 database.
The Oracle SQL Developer implement can connect with databases other than Oracle, including MySQL, Microsoft SQL Server and DB2. The SQL edifice environment helps the programmer office fundamental features on supported non-Oracle databases. developers can browse and execute simple opt for queries on supported databases. however, write entry is not supported for DB2. before setting up the connection, download and install the IBM DB2 drivers.
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IBM DB2 is a relational DBMS with integrated champion for a number of NoSQL capabilities, including XML, graph store and Java Script demur Notation (JSON). Used by organizations of whole sizes, DB2 provides a data platform for both transactional and analytical operations as well as continuous availability of data to withhold transactional workflows and analytics operating efficiently.OSes DB2 supports
DB2 is available for three primary platforms:
DB2 supports these Unix variants: AIX, Solaris and HP-UX; Linux variants embrace Red Hat, SUSE, Ubuntu and Linux on pSeries and System z.
DB2 for i comes pre-installed on the iSeries server and, as such, won't breathe addressed here.DB2 features
The current version of DB2 for LUW is 11.1, released in second quarter 2016. This release focuses on improvements to BLU Acceleration and pureScale functionality.
BLU Acceleration, added to DB2 in Version 10.5, provides a column store capability, as well as technological performance boosts for actionable compression, exploitation of the lone instruction multiple data (SIMD) capabilities of modern CPUs, and data skipping technology.
For DB2 11, BLU Acceleration can breathe deployed across a massively parallel processing (MPP) network cluster architecture. BLU Acceleration can breathe used in database partitioning facility environments for MPP scale out, which can help query performance for great partitioned applications. Additionally, this version improves in-memory capabilities for column-organized tables and integration with IBM Data Server Manager to anatomize workloads and determine whether they can profit from column-oriented tables.
DB2 for LUW 11 too adds champion for lofty Availability catastrophe Recovery, or HADR, in pureScale clustered DB2 databases. Data can breathe mirrored from a primary pureScale database cluster to a second local or remote standby cluster, thereby improving recoverability. An additional improvement for pureScale is the delivery of online fix pack update support, allowing users to apply DB2 11.1 fix packs to individual members running in a pureScale cluster without having to recall the entire cluster offline.
On the security front, DB2 11 enables the employ of enterprise key management systems for storing indigenous encryption master keys. The DB2 Advanced Recovery Feature is a bundle of database backup, recovery and data extraction tools that can attend users help availability, mitigate risk and optimize administrative tasks.
The current version of DB2 for z/OS is 11, which was released in October 2013. Highlights of DB2 11 for z/OS embrace performance and availability enhancements, improved analytics capabilities, application compatibility features, improved access path stability and archive transparency. IBM too offers the IBM DB2 Analytics Accelerator, which is an add-on to DB2 for z/OS for speeding up analytical queries.
DB2 for LUW requires two configuration files: the Database Manager configuration file containing configuration parameters for an entire instance, and Database configuration files for each database.
DB2 for LUW is too embedded into IBM's database PureData appliance, enabling turnkey implementation of DB2 without the time-consuming installation and configuration required of a everyday DBMS installation.
DB2 for z/OS is installed as a subsystem with components for database services, lock management, distributed request processing and connecting to other mainframe agents. The subsystem is configured with a set of parameters called the DSNZPARMs.DB2 offerings
As of Version 11, IBM offers eight editions of DB2 for LUW:
Additionally, DB2 Express-C edition, an entry-level edition of the DB2 data server for the developer and colleague community, is available for free. It can breathe installed on physical or virtual systems with any amount of CPU and RAM, and is optimized to employ up to a maximum of two cores and 16 GB of memory.DB2 data types
DB2 supports the yardstick numeric, character, and date/time data types well as LOBs, XML and user-defined types. JSON is supported via DB2 JSON, a driver-based solution that delivers JSON data representation within the context of an RDBMS.DB2 benchmarks
IBM has published numerous TPC benchmarks for DB2 on whole platforms supported. IBM sells DB2 for LUW direct, through commerce partners, online and through application specific licensing, which allows vendors such as SAP to license and sell DB2 relational DBMS as share of their applications.
Pricing is based on processor value unit (PVU), which is a unit of measure that IBM uses to license its software. IBM applies a PVU count to each core of a processor. The pricing is then based on the number of PVUs for the processor and by the number of processors made available to DB2.
The developer edition is licensed by authorized user, not PVU. There are additional nuances to pricing and licensing based on DB2 editions that aren't covered here.DB2 licensing
The license cost for DB2 includes first-year champion and subscription, entitling the owner to contact IBM for champion as well as to download fixes and upgrades to future versions/releases of the product.
DB2 for z/OS relational DBMS is sold directly by IBM and is licensed as a monthly license impregnate (MLC) product. There are numerous metrics available for pricing MLC products. A 90-day free visitation download is available from the IBM website.
About the authorCraig S. Mullins is a data management strategist, researcher, consultant and author with more than 30 years of undergo in whole facets of database systems development. He is president and principal consultant of Mullins Consulting Inc. and publisher/editor of TheDatabaseSite.com. Email him at firstname.lastname@example.org.
Email us at email@example.com and ensue us on Twitter: @sDataManagement.
This article was updated in September 2016.
I’ve just completed IBM DB2 for Linux, Unix and Windows (LUW) coverage here on employ The Index, Luke as preparation for an upcoming training I’m giving. This blog post describes the major differences I’ve establish compared to the other databases I’m covering (Oracle, SQL Server, PostgreSQL and MySQL).Free & Easy
Well, let’s pan it: it’s IBM software. It has a pretty long history. You would probably not expect that it is simple to install and configure, but in fact: it is. At least DB2 LUW Express-C 10.5 (LUW is for Linux, Unix and Windows, Express-C is the free community edition). That might breathe another surprise: there is a free community edition. It’s not open source, but it’s free as in free beer.No simple Explain
The first problem I stumbled upon is that DB2 has no simple course to panoply an execution plan. No kidding. Here is what IBM says about it:
Explain a statement by prefixing it with account for diagram for
This stores the execution diagram in a set of tables in the database (you’ll need to create these tables first). This is pretty much like in Oracle.
Display a stored account for diagram using db2exfmt
This is a command line tool, not something you can Fall from an SQL prompt. To rush this implement you’ll need shell access to a DB2 installation (e.g. on the server). That means, that you cannot employ this implement over an regular database connection.
There is another command line implement (db2expln) that combines the two steps from above. Apart from the fact that this procedure is not exactly convenient, the output you regain an ASCII art:Access Plan: ----------- Total Cost: 60528.3 Query Degree: 1 Rows RETURN ( 1) Cost I/O | 49534.9 ^HSJOIN ( 2) 60528.3 68095 /-----+------\ 49534.9 10000 TBSCAN TBSCAN ( 3) ( 4) 59833.6 687.72 67325 770 | | 1.00933e+06 10000 TABLE: DB2INST1 TABLE: DB2INST1 SALES EMPLOYEES Q2 Q1
Please note that this is just an excerpt—the replete output of db2exfmt has 400 lines. Quite a lot information that you’ll hardly ever need. Even the information that you need whole the time (the operations) is presented in a pretty unreadable course (IMHO). I’m particularly thankful that whole the numbers you survey above are not labeled—that’s really the icing that renders this “tool” totally useless for the occasional user.
However, according to the IBM documentation there is another course to panoply an execution plan: “Write your own queries against the account for tables.” And that’s exactly what I did: I wrote a view called last_explained that does exactly what it’s appellation suggest: it shows the execution diagram of the terminal statement that was explained (in a non-useless formatting):Explain Plan ------------------------------------------------------------ ID | Operation | Rows | Cost 1 | return | | 60528 2 | HSJOIN | 49535 of 10000 | 60528 3 | TBSCAN SALES | 49535 of 1009326 ( 4.91%) | 59833 4 | TBSCAN EMPLOYEES | 10000 of 10000 (100.00%) | 687 Predicate Information 2 - link (Q2.SUBSIDIARY_ID = DECIMAL(Q1.SUBSIDIARY_ID, 10, 0)) link (Q2.EMPLOYEE_ID = DECIMAL(Q1.EMPLOYEE_ID, 10, 0)) 3 - SARG ((CURRENT DATE - 6 MONTHS) < Q2.SALE_DATE) Explain diagram by Markus Winand - NO WARRANTY http://use-the-index-luke.com/s/last_explained
I’m pretty certain many DB2 users will protest that this presentation of the execution diagram is confusing. And that’s OK. If you are used to the course IBM presents execution plans, just stick to what you are used to. However, I’m working with whole kinds of databases and they whole gain a course to panoply the execution diagram similar to the one shown above—for me this format is much more useful. Further, I’ve made a useful selection of data to display: the row count estimates and the predicate information.
You can regain the source of the last_explained view from here or from GitHub (direct download). I’m grave about the no warranty part. Yet I’d like to know about problems you gain with the view.Emulating Partial Indexes is Possible
Partial indexes are indexes not containing whole table rows. They are useful in three cases:
To preserve space when the index is only useful for a very tiny fraction of the rows. Example: queue tables.
To establish a specific row order in presence of constant non-equality predicates. Example: WHERE x IN (1, 5, 9) ORDER BY y. An index like the following can breathe used to avoid a sort operation:CREATE INDEX … ON … (y) WHERE x IN (1, 5, 9)
To implement unique constraints on a subset of rows (e.g. only those WHERE dynamic = 'Y').
However, DB2 doesn’t champion a where clause for indexes like shown above. But DB2 has many Oracle-compatibility features, one of them is EXCLUDE NULL KEYS: “Specifies that an index entry is not created when whole parts of the index key accommodate the null value.” This is actually the hard-wired behaviour in the Oracle database and it is commonly exploited to emulate partial indexes in the Oracle database.
Generally speaking, emulating partial indexes works by mapping whole parts of the key (all indexed columns) to NULL for rows that should not cease up in the index. As an example, let’s emulate this partial index in the Oracle database (DB2 is next):CREATE INDEX messages_todo ON messages (receiver) WHERE processed = 'N'
The solution presented in SQL Performance Explained uses a office to map the processed rows to NULL, otherwise the receiver value is passed through:CREATE OR REPLACE FUNCTION pi_processed(processed CHAR, receiver NUMBER) RETURN NUMBER DETERMINISTIC AS BEGIN IF processed IN ('N') THEN return receiver; ELSE return NULL; cease IF; END; /
It’s a deterministic office and can thus breathe used in an Oracle function-based index. This won’t drudgery with DB2, because DB2 doesn’t allow user defined-functions in index definitions. However, let’s first complete the Oracle example.CREATE INDEX messages_todo ON messages (pi_processed(processed, receiver));
This index has only rows WHERE processed IN ('N')—otherwise the office returns NULL which is not deliver in the index (there is no other column that could breathe non-NULL). Voilà: a partial index in the Oracle database.
To employ this index, just employ the pi_processed office in the where clause:SELECT message FROM messages WHERE pi_processed(processed, receiver) = ?
This is functionally equivalent to:SELECT message FROM messages WHERE processed = 'N' AND receiver = ?
So far, so ugly. If you ebb for this approach, you’d better need the partial index desperately.
To develop this approach drudgery in DB2 they need two components: (1) the EXCLUDE NULL KEYS clause (no-brainer); (2) a course to map processed rows to NULL without using a user-defined office so it can breathe used in a DB2 index.
Although the second one might appear to breathe hard, it is actually very simple: DB2 can attain expression based indexing, just not on user-defined functions. The mapping they need can breathe accomplished with regular SQL expressions:CASE WHEN processed = 'N' THEN receiver ELSE NULL END
This implements the very identical mapping as the pi_processed office above. recollect that CASE expressions are first class citizens in SQL—they can breathe used in DB2 index definitions (on LUW just since 10.5):CREATE INDEX messages_not_processed_pi ON messages (CASE WHEN processed = 'N' THEN receiver ELSE NULL END) EXCLUDE NULL KEYS;
This index uses the CASE expression to map not to breathe indexed rows to NULL and the EXCLUDE NULL KEYS feature to avert those row from being stored in the index. Voilà: a partial index in DB2 LUW 10.5.
To employ the index, just employ the CASE expression in the where clause and check the execution plan:SELECT * FROM messages WHERE (CASE WHEN processed = 'N' THEN receiver ELSE NULL END) = ?; Explain Plan ------------------------------------------------------- ID | Operation | Rows | Cost 1 | return | | 49686 2 | TBSCAN MESSAGES | 900 of 999999 ( .09%) | 49686 Predicate Information 2 - SARG (Q1.PROCESSED = 'N') SARG (Q1.RECEIVER = ?)
Oh, that’s a Big disappointment: the optimizer didn’t recall the index. It does a replete table scan instead. What’s wrong?
If you gain a very nearby peruse at the execution diagram above, which I created with my last_explained view, you might survey something suspicious.
Look at the predicate information. What happened to the CASE expression that they used in the query? The DB2 optimizer was smart enough rewrite the expression as WHERE processed = 'N' AND receiver = ?. Isn’t that great? Absolutely!…except that this smartness has just ruined my attempt to employ the partial index. That’s what I meant when I said that CASE expressions are first class citizens in SQL: the database has a pretty genuine understanding what they attain and can transform them.
We need a course to apply their magic NULL-mapping but they can’t employ functions (can’t breathe indexed) nor can they employ CASE expressions, because they are optimized away. Dead-end? Au contraire: it’s pretty simple to fuddle an optimizer. whole you need to attain is to obfuscate the CASE expression so that the optimizer doesn’t transform it anymore. Adding zero to a numeric column is always my first attempt in such cases:CASE WHEN processed = 'N' THEN receiver + 0 ELSE NULL END
The CASE expression is essentially the same, I’ve just added zero to the RECEIVER column, which is numeric. If I employ this expression in the index and the query, I regain this execution plan:ID | Operation | Rows | Cost 1 | return | | 13071 2 | FETCH MESSAGES | 40000 of 40000 | 13071 3 | RIDSCN | 40000 of 40000 | 1665 4 | SORT (UNQIUE) | 40000 of 40000 | 1665 5 | IXSCAN MESSAGES_NOT_PROCESSED_PI | 40000 of 999999 | 1646 Predicate Information 2 - SARG ( CASE WHEN (Q1.PROCESSED = 'N') THEN (Q1.RECEIVER + 0) ELSE NULL cease = ?) 5 - START ( CASE WHEN (Q1.PROCESSED = 'N') THEN (Q1.RECEIVER + 0) ELSE NULL cease = ?) quit ( CASE WHEN (Q1.PROCESSED = 'N') THEN (Q1.RECEIVER + 0) ELSE NULL cease = ?)
The partial index is used as intended. The CASE expression appears unchanged in the predicate information section.
I haven’t checked any other ways to emulate partial indexes in DB2 (e.g., using partitions like in more recent Oracle versions).
As always: just because you can attain something doesn’t breathe of value you should. This approach is so ugly—even more terrifying than the Oracle workaround—that you must desperately need a partial index to warrant this maintenance nightmare. Further it will quit working whenever the optimizer becomes smart enough to optimize +0 away. However, then you just need deliver an even more terrifying obfuscation in there.INCLUDE Clause Only for Unique Indexes
With the embrace clause you can add extra columns to an index for the sole purpose to allow in index-only scan when these columns are selected. I knew the embrace clause before because SQL Server offers it too, but there are some differences:
In SQL Server embrace columns are only added to the leaf nodes of the index—not in the root and arm nodes. This limits the repercussion on the B-tree’s depth when adding many or long columns to an index. This too allows to bypass some limitations (number of columns, total index row length, allowed data types). That doesn’t appear to breathe the case in DB2.
In DB2 the embrace clause is only sound for unique indexes. It allows you to enforce the uniqueness of the key columns only—the embrace columns are just not considered when checking for uniqueness. This is the identical in SQL Server except that SQL Server supports embrace columns on non-unique indexes too (to leverage the above-mentioned benefits).
The NULLS FIRST and NULLS terminal modifiers to the order by clause allow you to specify whether NULL values are considered as larger or smaller than non-NULL values during sorting. Strictly speaking, you must always specify the desired order when sorting nullable columns because the SQL yardstick doesn’t specify a default. As you can survey in the following chart, the default order of NULL is indeed different across various databases:
Figure A.1. Database/Feature Matrix
In this chart, you can too survey that DB2 doesn’t champion NULLS FIRST or NULLS LAST—neither in the order by clause no in the index definition. However, note that this is a simplified statement. In fact, DB2 accepts NULLS FIRST and NULLS terminal when it is in line with the default NULLS order. In other words, ORDER BY col ASC NULLS FIRST is valid, but it doesn’t change the result—NULLS FIRST is anyways the default. identical is sound for ORDER BY col DESC NULLS LAST—accepted, but doesn’t change anything. The other two combinations are not sound at whole and succumb a syntax error.SQL:2008 FETCH FIRST but not OFFSET
DB2 supports the fetch first … rows only clause for a while now—kind-of impressive considering it was “just” added with the SQL:2008 standard. However, DB2 doesn’t champion the offset clause, which was introduced with the very identical release of the SQL standard. Although it might peruse like an capricious omission, it is in fact a very sage scamper that I deeply respect. offset is the root of so much evil. In the next section, I’ll account for how to live without offset.
Side node: If you gain code using offset that you cannot change, you can silent activate the MySQL compatibility vector that makes restrict and offset available in DB2. humorous enough, combining fetch first with offset is then silent not viable (that would breathe yardstick compliant).Decent Row-Value Predicates Support
SQL row-values are multiple scalar values grouped together by braces to shape a lone rational value. IN-lists are a common use-case:WHERE (col_a, col_b) IN (SELECT col_a, col_b FROM…)
This is supported by pretty much every database. However, there is a second, hardly known use-case that has pretty indigent champion in today’s SQL databases: key-set pagination or offset-less pagination. Keyset pagination uses a where clause that basically says “I’ve seen everything up till here, just give me the next rows”. In the simplest case it looks like this:SELECT … FROM … WHERE time_stamp < ? ORDER BY time_stamp DESC FETCH FIRST 10 ROWS ONLY
Imagine you’ve already fetched a bunch of rows and need to regain the next few ones. For that you’d employ the time_stamp value of the terminal entry you’ve got for the bind value (?). The query then just return the rows from there on. But what if there are two rows with the very identical time_stamp value? Then you need a tiebreaker: a second column—preferably a unique column—in the order by and where clauses that unambiguously marks the status till where you gain the result. This is where row-value predicates arrive in:SELECT … FROM … WHERE (time_stamp, id) < (?, ?) ORDER BY time_stamp DESC, id DESC FETCH FIRST 10 ROWS ONLY
The order by clause is extended to develop certain there is a well-defined order if there are equal time_stamp values. The where clause just selects what’s after the row specified by the time_stamp and id pair. It couldn’t breathe any simpler to express this selection criteria. Unfortunately, neither the Oracle database nor SQLite or SQL Server understand this syntax—even though it’s in the SQL yardstick since 1992! However, it is viable to apply the identical logic without row-value predicates—but that’s rather inconvenient and simple to regain wrong.
Even if a database understands the row-value predicate, it’s not necessarily understanding these predicates genuine enough to develop proper employ of indexes that champion the order by clause. This is where MySQL fails—although it applies the logic correctly and delivers the birthright result, it does not employ an index for that and is thus rather slow. In the end, DB2 LUW (since 10.1) and PostgreSQL (since 8.4) are the only two databases that champion row-value predicates in the course it should be.
The fact that DB2 LUW has everything you need for convenient keyset pagination is too the reason why there is absolutely no reason to complain about the missing offset functionality. In fact I believe that offset should not gain been added to the SQL yardstick and I’m pleased to survey a vendor that resisted the exhort to add it because its became share of the standard. Sometimes the yardstick is wrong—just sometimes, not very often ;) I can’t change the standard—all I can attain is teaching how to attain it birthright and start campaigns like #NoOffset.
Figure A.2. Database/Feature Matrix
If you like my course of explaining things, you’ll treasure my book “SQL Performance Explained”.
Environment : Linux , DB Version : 10.5Configure the Server to use SSL
Lets understand the requirement here. They need the DB Server to accept connections from a unusual port which uses SSL. So they need to open a unusual service to accept SSL connections. One share of this chore is authentication (which can breathe done too via certificates) and another share is the encrypted connection that protects the communication between server and client.
GSKit package is used for key generations. This is automatically installed when DB2 is installed. The default path is (For Linux the default path is /opt/ibm/db2/V11.1/gskit/bin/).
rule : rush whole commands as instance owner.
Ok now lets start ….
note : if the LIBPATH is set correctly, no need to specify a path when running gsk8capicmd_64.
Command gsk8capicmd_64 is used for management of CA certificates. In their command they used the following options:
The -stash option creates a stash file at the identical path as the key database, with a file extension of .sth. At instance start-up, GSKit uses the stash file to obtain the password to the key database.
2. The next step is to create a certificate for the key database. Here, I will create a self-signed certificate with a label mylabel.
/home/db2inst2/sqllib/gskit/bin/gsk8capicmd_64 -cert -create -db “server.kdb” -pw “Passw0rd” -label “mylabel” -dn “CN=testcompany” -size 2048 -sigalg SHA256_WITH_RSA
The following options are used:
3. Extract the certificate you just created to a file, so that you can deal it to computers running clients that will breathe establishing SSL connections to your Db2 server./home/db2inst2/sqllib/gskit/bin/gsk8capicmd_64 -cert -extract -db “server.kdb” -pw “Passw0rd” -label “mylabel” -target “server.arm” -format ascii -fips
at this stage your directory will gain the below set of files,
server.rdb, server.crl, server.sth, server.kdb, server.arm
To panoply the certificate, issue the following command:/home/db2inst2/sqllib/gskit/bin/gsk8capicmd_64 -cert -details -db “server.kdb” -pw “Passw0rd” -label “mylabel”
You will breathe needing the above files later… now lets scamper into configuring the DataBase to create a unusual SSL service.
4. Changes in DB2 Server Configurations To set up your Db2 server for SSL support, log in as the Db2 instance owner and set the following configuration parameters and the DB2COMM registry variable.a. Set the ssl_svr_keydb configuration parameter to the fully qualified path of the key database file. (.kdb file is used from the above 5 files created.Author assumes that you gain created the keys in this path : /home/db2inst2/cert/)
db2 update dbm cfg using SSL_SVR_KEYDB /home/db2inst2/cert/server.kdboutput :DB20000I The UPDATE DATABASE MANAGER CONFIGURATION command completedsuccessfully.
b. Set the ssl_svr_stash configuration parameter to the fully qualified path of the stash file. (.sth file is used from the above 5 files created.Author assumes that you gain created the keys in this path : /home/db2inst2/cert/)db2 update dbm cfg using SSL_SVR_STASH /home/db2inst2/cert/server.sthOutput :DB20000I The UPDATE DATABASE MANAGER CONFIGURATION command completedsuccessfully.
c. Set the ssl_svr_label configuration parameter to the label of the digital certificate of the server, which you added in Step 1. If ssl_svr_label is not set, the default certificate in the key database is used. If there is no default certificate in the key database, SSL is not enabled.db2 update dbm cfg using SSL_SVR_LABEL mylabel
d. The SSL connections require a separate port. It can breathe defined as a service appellation or port number. The service appellation needs to breathe defined in /etc/services. vi /etc/services file and add a unusual service appellation for SSL port.
db2cs_db2inst2 50002/tcpeg: develop certain the service appellation and port is different from the existing port, db2c_db2inst2 50001/tcp db2cs_db2inst2 50002/tcp
e. The unusual service appellation is db2cs_db2inst2, port 50002, protocol TCP. This parameter is too required to enable SSL connections.db2 update dbm cfg using SSL_SVCENAME db2cs_db2inst2
OutPut : DB20000I The UPDATE DATABASE MANAGER CONFIGURATION command completedsuccessfully.
f. Add the value SSL to the DB2COMM registry variable. db2set -i db2inst2 DB2COMM=SSL
g. Ensure to enable both TCP/IP and SSL communication protocols for the DB Instance. If you are planning to employ only one, then no need to add both. db2set -i db2inst2 DB2COMM=SSL,TCPIPDone.
Just to breathe on the safe side, validate you configs using the below command.db2 regain dbm cfg|grep SSL SSL server keydb file (SSL_SVR_KEYDB) = /home/db2inst2/cert/server.kdb SSL server stash file (SSL_SVR_STASH) = /home/db2inst2/cert/server.sth SSL server certificate label (SSL_SVR_LABEL) = mylabel SSL service appellation (SSL_SVCENAME) = db2cs_db2inst2 SSL cipher specs (SSL_CIPHERSPECS) = SSL versions (SSL_VERSIONS) = SSL client keydb file (SSL_CLNT_KEYDB) = SSL client stash file (SSL_CLNT_STASH) =
5. quit and ReStart the DB. 6. Validate if the DB is started with multiple ports. netstat -tap|grep db2tcp 0 0 *:db2c_db2inst2 *:* LISTEN 23682/db2sysc 0tcp 0 0 *:db2cs_db2inst2 *:* LISTEN 23682/db2sysc 0
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