C2090-311 exam Dumps Source : IBM DB2 10.5 DBA for LUW Upgrade from DB2 10.1
Test Code : C2090-311
Test denomination : IBM DB2 10.5 DBA for LUW Upgrade from DB2 10.1
Vendor denomination : IBM
: 30 true Questions
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IBM DB2 is a relational DBMS with integrated back for a number of NoSQL capabilities, together with XML, graph store and Java Script remonstrate Notation (JSON). Used by passage of groups of everything sizes, DB2 gives a erudition platform for each transactional and analytical operations as well as perpetual availability of information to retain transactional workflows and analytics operating correctly.OSes DB2 helps
DB2 is accessible for three basic systems:
DB2 helps these Unix variations: AIX, Solaris and HP-UX; Linux editions consist of crimson Hat, SUSE, Ubuntu and Linux on pSeries and device z.
DB2 for i comes pre-put in on the iSeries server and, as such, may not live addressed here.DB2 facets
The present edition of DB2 for LUW is 11.1, launched in 2nd quarter 2016. This unencumber specializes in improvements to BLU Acceleration and pureScale functionality.
BLU Acceleration, delivered to DB2 in version 10.5, offers a column rescue ability, in addition to technological efficiency boosts for actionable compression, exploitation of the only steer numerous information (SIMD) capabilities of up to date CPUs, and data skipping know-how.
For DB2 eleven, BLU Acceleration will likewise live deployed across a massively parallel processing (MPP) community cluster architecture. BLU Acceleration can live utilized in database partitioning facility environments for MPP scale out, that could enrich query performance for gargantuan partitioned applications. additionally, this edition improves in-reminiscence capabilities for column-geared up tables and integration with IBM information Server manager to investigate workloads and verify even if they could improvement from column-oriented tables.
DB2 for LUW eleven likewise adds serve for lofty Availability catastrophe recuperation, or HADR, in pureScale clustered DB2 databases. statistics can likewise live mirrored from a first-rate pureScale database cluster to a second local or faraway standby cluster, thereby enhancing recoverability. An further growth for pureScale is the birth of online repair pack supersede aid, allowing users to apply DB2 eleven.1 repair packs to particular person individuals working in a pureScale cluster with no requisite to win the total cluster offline.
On the protection front, DB2 eleven enables the exercise of business key management methods for storing aboriginal encryption master keys. The DB2 superior recuperation office is a bundle of database backup, restoration and data extraction tools that may back users enhance availability, mitigate possibility and optimize administrative projects.
The current version of DB2 for z/OS is 11, which become launched in October 2013. Highlights of DB2 eleven for z/OS encompass efficiency and availability enhancements, more desirable analytics capabilities, application compatibility features, enhanced entry course equipoise 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 gross example, and Database configuration data for each and every database.
DB2 for LUW is additionally embedded into IBM's database PureData appliance, enabling turnkey implementation of DB2 without the time-drinking installing and configuration required of a orthodox DBMS installation.
DB2 for z/OS is status in as a subsystem with add-ons for database capabilities, lock management, distributed request processing and connecting to different mainframe brokers. The subsystem is configured with a collection of parameters known as the DSNZPARMs.DB2 choices
As of version 11, IBM offers eight editions of DB2 for LUW:
moreover, DB2 express-C edition, an entry-stage version of the DB2 facts server for the developer and colleague neighborhood, is available at no cost. It may likewise live installed on actual or digital programs with any amount of CPU and RAM, and is optimized to exercise up to a optimum of two cores and sixteen GB of memory.DB2 data kinds
DB2 helps the habitual numeric, character, and date/time facts varieties neatly as LOBs, XML and consumer-described kinds. JSON is supported by the exercise of DB2 JSON, a driver-based solution that provides JSON facts illustration inside the context of an RDBMS.DB2 benchmarks
IBM has published numerous TPC benchmarks for DB2 on everything structures supported. IBM sells DB2 for LUW direct, through enterprise companions, online and through utility specific licensing, which allows for vendors equivalent to SAP to license and promote DB2 relational DBMS as Part of their purposes.
Pricing is in accordance with processor value unit (PVU), which is a unit of measure that IBM makes exercise of to license its software. IBM applies a PVU signify to each and every core of a processor. The pricing is then based on the variety of PVUs for the processor and with the aid of the number of processors made attainable to DB2.
The developer edition is licensed by using licensed person, no longer PVU. There are further nuances to pricing and licensing in accordance with DB2 variations that aren't coated here.DB2 licensing
The license saturate for DB2 comprises first-year aid and subscription, entitling the proprietor to contact IBM for steer in addition to to download fixes and improvements to future types/releases of the product.
DB2 for z/OS relational DBMS is bought without delay with the aid of IBM and is licensed as a monthly license cost (MLC) product. There are numerous metrics obtainable for pricing MLC products. A ninety-day free visitation down load is accessible from the IBM web page.
in regards to the authorCraig S. Mullins is a erudition administration strategist, researcher, consultant and author with more than 30 years of adventure in everything aspects of database techniques development. he is president and major advisor of Mullins Consulting Inc. and publisher/editor of TheDatabaseSite.com. email him at email@example.com.
email us at firstname.lastname@example.org and celebrate us on Twitter: @sDataManagement.
this article became updated in September 2016.
The database world is present process exceptional exchange. IBM and Oracle hold applied novel technologies in their mainstream databases, but there are modifications with respect to high-performance analytics and transaction processing. examine the ITG management report to remark how IBM and Oracle solutions evaluate in can saturate and expertise.down load PDF
learn the passage emigrate and modernize stateless applications and rush them in a Kubernetes cluster.
recently, I even hold been experimenting with the IBM Watson conversation provider and Db2. With a novel office in the dialog provider it is feasible to office programmatic calls from a dialog node. Why now not query Db2? I carried out both a Db2 select and INSERT observation wrapped into actions of IBM Cloud functions. it's kind of handy and here is what you requisite to comprehend.
The conversation service helps client-facet and repair-aspect calls. This capacity, both the utility riding the chat will likewise live steered to accomplish an out of doors convoke or the dialog service itself is invoking an motion. it really is, IBM Cloud characteristic moves can live known as. For my test I coded up two moves, one to fetch information from a Db2 database, the other to insert novel information. I chose Node.js 8 runtime platform since the Db2 driver for Node.js is already Part of the runtime ambiance. The sources for the Db2-related actions are in this Github repository.
Passing the redress values to the functions isn't an issue for you. acquiring the credentials for Db2 and making them purchasable inner the motion bought simplified these days. The CLI plugin for IBM Cloud features means that you can bind a provider to an motion as proven right here:
bx wsk service bind dashDB /hloeser/ConferenceFetch --instance henrikDB2 --keyname henriksKey2 in the instance i'm binding credentials for the dashDB provider (it is Db2 Warehouse on Cloud) to considered one of my moves named "ConferenceFetch". as a result of I even hold varied service cases and might live distinct keys (credentials) I accomplish exercise of the not obligatory parameters "example" and "keyname". Thereafter, the Db2 configuration together with username and password is purchasable within the motion metadata. in the action code i'm the exercise of this syntax to acquire the "dsn" suggestions. The dsn is used with the aid of the Db2 driver to connect with the database.
With this tough define you should live capable of salvage your IBM Cloud features linked to Db2. those moves can then at once live referred to as from inside a dialog node of Watson conversation. i will status up particulars on how that works in a further blog entry.
in case you hold comments, assistance, or questions on this publish, tickle compass out to me on Twitter (@data_henrik) or LinkedIn.
serverless ,ibm cloud capabilities ,db2 ,database ,node.js ,ibm cloud ,cloud
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IBM DB2 is a relational DBMS with integrated back for a number of NoSQL capabilities, including XML, graph store and Java Script remonstrate Notation (JSON). Used by organizations of everything 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 include 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 live 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 single instruction multiple data (SIMD) capabilities of modern CPUs, and data skipping technology.
For DB2 11, BLU Acceleration can live deployed across a massively parallel processing (MPP) network cluster architecture. BLU Acceleration can live used in database partitioning facility environments for MPP scale out, which can better 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 resolve workloads and determine whether they can capitalize from column-oriented tables.
DB2 for LUW 11 likewise adds back for lofty Availability disaster Recovery, or HADR, in pureScale clustered DB2 databases. Data can live 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 win the entire cluster offline.
On the security front, DB2 11 enables the exercise of enterprise key management systems for storing aboriginal encryption master keys. The DB2 Advanced Recovery Feature is a bundle of database backup, recovery and data extraction tools that can serve users better 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 include performance and availability enhancements, improved analytics capabilities, application compatibility features, improved access path stability and archive transparency. IBM likewise 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 likewise embedded into IBM's database PureData appliance, enabling turnkey implementation of DB2 without the time-consuming installation and configuration required of a orthodox 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 live installed on physical or virtual systems with any amount of CPU and RAM, and is optimized to exercise up to a maximum of two cores and 16 GB of memory.DB2 data types
DB2 supports the criterion 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 everything platforms supported. IBM sells DB2 for LUW direct, through business partners, online and through application specific licensing, which allows vendors such as SAP to license and sell DB2 relational DBMS as Part 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 signify 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 back and subscription, entitling the owner to contact IBM for back 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 saturate (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 experience in everything facets of database systems development. He is president and principal consultant of Mullins Consulting Inc. and publisher/editor of TheDatabaseSite.com. Email him at email@example.com.
Email us at firstname.lastname@example.org and supervene 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 exercise 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 countenance it: it’s IBM software. It has a pretty long history. You would probably not hope that it is smooth 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 live another surprise: there is a free community edition. It’s not open source, but it’s free as in free beer.No smooth Explain
The first problem I stumbled upon is that DB2 has no smooth passage to display an execution plan. No kidding. Here is what IBM says about it:
Explain a statement by prefixing it with clarify device for
This stores the execution device in a set of tables in the database (you’ll requisite to create these tables first). This is pretty much dote in Oracle.
Display a stored clarify device using db2exfmt
This is a command line tool, not something you can tumble from an SQL prompt. To rush this instrument you’ll requisite shell access to a DB2 installation (e.g. on the server). That means, that you cannot exercise this instrument over an regular database connection.
There is another command line instrument (db2expln) that combines the two steps from above. Apart from the fact that this procedure is not exactly convenient, the output you salvage 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 requisite everything the time (the operations) is presented in a pretty unreadable passage (IMHO). I’m particularly thankful that everything the numbers you remark 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 passage to display an execution plan: “Write your own queries against the clarify tables.” And that’s exactly what I did: I wrote a view called last_explained that does exactly what it’s denomination suggest: it shows the execution device of the final statement that was explained (in a non-useless formatting):Explain Plan ------------------------------------------------------------ ID | Operation | Rows | Cost 1 | recur | | 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 - unite (Q2.SUBSIDIARY_ID = DECIMAL(Q1.SUBSIDIARY_ID, 10, 0)) unite (Q2.EMPLOYEE_ID = DECIMAL(Q1.EMPLOYEE_ID, 10, 0)) 3 - SARG ((CURRENT DATE - 6 MONTHS) < Q2.SALE_DATE) Explain device by Markus Winand - NO WARRANTY http://use-the-index-luke.com/s/last_explained
I’m pretty certain many DB2 users will train that this presentation of the execution device is confusing. And that’s OK. If you are used to the passage IBM presents execution plans, just stick to what you are used to. However, I’m working with everything kinds of databases and they everything hold a passage to display the execution device 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 signify estimates and the predicate information.
You can salvage the source of the last_explained view from here or from GitHub (direct download). I’m earnest about the no warranty part. Yet I’d dote to know about problems you hold with the view.Emulating Partial Indexes is Possible
Partial indexes are indexes not containing everything table rows. They are useful in three cases:
To preserve space when the index is only useful for a very miniature 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 dote the following can live 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 active = 'Y').
However, DB2 doesn’t back a where clause for indexes dote 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 everything parts of the index key contain 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 everything parts of the key (all indexed columns) to NULL for rows that should not conclude 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 recur receiver; ELSE recur NULL; conclude IF; END; /
It’s a deterministic office and can thus live 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 status in the index (there is no other column that could live non-NULL). Voilà: a partial index in the Oracle database.
To exercise this index, just exercise 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 proceed for this approach, you’d better requisite the partial index desperately.
To accomplish this approach drudgery in DB2 they requisite two components: (1) the EXCLUDE NULL KEYS clause (no-brainer); (2) a passage to map processed rows to NULL without using a user-defined office so it can live used in a DB2 index.
Although the second one might appear to live hard, it is actually very simple: DB2 can Do expression based indexing, just not on user-defined functions. The mapping they requisite can live accomplished with regular SQL expressions:CASE WHEN processed = 'N' THEN receiver ELSE NULL END
This implements the very very mapping as the pi_processed office above. bethink that CASE expressions are first class citizens in SQL—they can live 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 live 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 exercise the index, just exercise 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 | recur | | 49686 2 | TBSCAN MESSAGES | 900 of 999999 ( .09%) | 49686 Predicate Information 2 - SARG (Q1.PROCESSED = 'N') SARG (Q1.RECEIVER = ?)
Oh, that’s a gargantuan disappointment: the optimizer didn’t win the index. It does a replete table scan instead. What’s wrong?
If you hold a very near examine at the execution device above, which I created with my last_explained view, you might remark 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 exercise 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 righteous understanding what they Do and can transform them.
We requisite a passage to apply their magic NULL-mapping but they can’t exercise functions (can’t live indexed) nor can they exercise CASE expressions, because they are optimized away. Dead-end? Au contraire: it’s pretty smooth to fling an optimizer. everything you requisite to Do 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 exercise this expression in the index and the query, I salvage this execution plan:ID | Operation | Rows | Cost 1 | recur | | 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 conclude = ?) 5 - START ( CASE WHEN (Q1.PROCESSED = 'N') THEN (Q1.RECEIVER + 0) ELSE NULL conclude = ?) stop ( CASE WHEN (Q1.PROCESSED = 'N') THEN (Q1.RECEIVER + 0) ELSE NULL conclude = ?)
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 dote in more recent Oracle versions).
As always: just because you can Do something doesn’t spell you should. This approach is so ugly—even more grisly than the Oracle workaround—that you must desperately requisite a partial index to justify this maintenance nightmare. Further it will stop working whenever the optimizer becomes smart enough to optimize +0 away. However, then you just requisite status an even more grisly obfuscation in there.INCLUDE Clause Only for Unique Indexes
With the include 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 include clause before because SQL Server offers it too, but there are some differences:
In SQL Server include columns are only added to the leaf nodes of the index—not in the root and branch nodes. This limits the repercussion on the B-tree’s depth when adding many or long columns to an index. This likewise allows to bypass some limitations (number of columns, total index row length, allowed data types). That doesn’t appear to live the case in DB2.
In DB2 the include clause is only valid for unique indexes. It allows you to invoke the uniqueness of the key columns only—the include columns are just not considered when checking for uniqueness. This is the very in SQL Server except that SQL Server supports include columns on non-unique indexes too (to leverage the above-mentioned benefits).
The NULLS FIRST and NULLS final 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 criterion doesn’t specify a default. As you can remark 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 likewise remark that DB2 doesn’t back 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 final 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. very is true for ORDER BY col DESC NULLS LAST—accepted, but doesn’t change anything. The other two combinations are not valid at everything and relent 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 back the offset clause, which was introduced with the very very release of the SQL standard. Although it might examine dote an arbitrary omission, it is in fact a very sapient paddle that I deeply respect. offset is the root of so much evil. In the next section, I’ll clarify how to live without offset.
Side node: If you hold code using offset that you cannot change, you can silent activate the MySQL compatibility vector that makes restrict and offset available in DB2. comical enough, combining fetch first with offset is then silent not feasible (that would live criterion compliant).Decent Row-Value Predicates Support
SQL row-values are multiple scalar values grouped together by braces to configuration a single logical 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 poverty-stricken back 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 dote 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 requisite to salvage the next few ones. For that you’d exercise the time_stamp value of the final entry you’ve got for the bind value (?). The query then just recur the rows from there on. But what if there are two rows with the very very time_stamp value? Then you requisite a tiebreaker: a second column—preferably a unique column—in the order by and where clauses that unambiguously marks the status till where you hold the result. This is where row-value predicates forward 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 accomplish 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 live 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 criterion since 1992! However, it is feasible to apply the very logic without row-value predicates—but that’s rather inconvenient and smooth to salvage wrong.
Even if a database understands the row-value predicate, it’s not necessarily understanding these predicates righteous enough to accomplish proper exercise of indexes that back the order by clause. This is where MySQL fails—although it applies the logic correctly and delivers the right result, it does not exercise 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 back row-value predicates in the passage it should be.
The fact that DB2 LUW has everything you requisite for convenient keyset pagination is likewise the intuition why there is absolutely no intuition to complain about the missing offset functionality. In fact I referee that offset should not hold been added to the SQL criterion and I’m satisfied to remark a vendor that resisted the urge to add it because its became Part of the standard. Sometimes the criterion is wrong—just sometimes, not very often ;) I can’t change the standard—all I can Do is teaching how to Do it right and start campaigns dote #NoOffset.
Figure A.2. Database/Feature Matrix
If you dote my passage of explaining things, you’ll esteem my book “SQL Performance Explained”.
Environment : Linux , DB Version : 10.5Configure the Server to use SSL
Lets understand the requirement here. They requisite the DB Server to accept connections from a novel port which uses SSL. So they requisite to open a novel service to accept SSL connections. One Part of this task is authentication (which can live done likewise via certificates) and another Part 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 everything commands as instance owner.
Ok now lets start ….
note : if the LIBPATH is set correctly, no requisite 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 very 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 live 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 hold the below set of files,
server.rdb, server.crl, server.sth, server.kdb, server.arm
To display the certificate, issue the following command:/home/db2inst2/sqllib/gskit/bin/gsk8capicmd_64 -cert -details -db “server.kdb” -pw “Passw0rd” -label “mylabel”
You will live needing the above files later… now lets paddle into configuring the DataBase to create a novel 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 hold 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 hold 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 live defined as a service denomination or port number. The service denomination needs to live defined in /etc/services. vi /etc/services file and add a novel service denomination for SSL port.
db2cs_db2inst2 50002/tcpeg: accomplish certain the service denomination and port is different from the existing port, db2c_db2inst2 50001/tcp db2cs_db2inst2 50002/tcp
e. The novel service denomination is db2cs_db2inst2, port 50002, protocol TCP. This parameter is likewise 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 exercise only one, then no requisite to add both. db2set -i db2inst2 DB2COMM=SSL,TCPIPDone.
Just to live on the safe side, validate you configs using the below command.db2 salvage 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 denomination (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. stop 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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