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IBM IBM DB2 10.1 DBA

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November 28, 2018 Alex Woodie

gadget administrators who trap frustrated with the need of capacity to survey which SQL jobs coming in via ODBC are inflicting problems on their IBM i server may exist drawn to a product called toil with dynamic SQL (WRKACTSQL) from MB software and Consulting, which lately announced the device could exist free during the cease of the 12 months.

SQL is just about as near a common language for traffic as that you can get. while there are other (i.e. “native”) strategies of fetching information from Db2 for i, practically three-quarters of IBM i developers record the employ of SQL, making it the quantity two most widespread construction language on IBM i, after RPG (which can employ “native” calls or SQL).

The vicissitude is, not plenary SQL jobs are created equal. When it comes to administering to an IBM i server that’s processing a great number of SQL jobs, issues can trap dicey for those charged with ensuring that things Run smoothly.

each IBM i administrator is customary with the toil with dynamic Jobs (WRKACTJOB) command from IBM, which shows every energetic jobs on the apparatus and tells them which ones are consuming probably the most resources. WRKACTJOB is a fine command.

besides the fact that children, that command doesn’t at plenary times deliver the essential degree of clarity on plenary jobs, specially when far off SQL requests are coming in over the community during the Open Database Connectivity (ODBC) exit factor.

When faraway SQL queries devour resources via ODBC and JDBC, WKRACTJOB displays the jobs beneath the QZDASOINIT heading. Jobs that originate on internet and mobile valued clientele, and even SQL queries fired off from device i Navigator, plenary tumble below this QZDASOINIT umbrella.

The problem is that directors hold no conception what these QZDASOINIT jobs are doing or what code they’re associated with. plenary they survey is that these QZDASOINIT jobs are consuming loads of system elements, and that they need to handle the difficulty.

far flung SQL queries are exposed for what they in reality are with MB software and Consulting’s WRKACTSQL tool.

That’s where MB software and Consulting’s WRKACTSQL device comes into the graphic. The command is designed to give visibility and handle over far flung ODBC requests by passage of displaying the actual SQL statements that are impacting the apparatus in uniform time, thereby enabling methods directors to react correctly.

based on MB utility and Consulting, WKRACTSQL lets admins cling, terminate, or alternate Run priority for specific SQL requests that operating on the device. It too allows them to installation signals to instantly trap hold of notification when a user runs the equal SQL request that caused the problem in the first vicinity. The utility additionally lets directors block selected users and particular SQL requests from getting entry to the device.

MB application and Consulting perpetually charges $500 per LPAR for WRKACTSQL. however as a piece of a promotion unveiled remaining month, the expansive apple enterprise is giving the appliance away for free of freight through December 31. For extra assistance survey the business’s web site at www.mb-application.com.

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Tags: Tags: IBM i, JDBC, LPAR, ODBC, Open Database Connectivity, RPG, SQL, WRKACTSQL

4 Hundred monitor, November 28 Syncsort Snags EView for Log records Hooks


IBM DB2 Will goal Oracle Database builders | killexams.com real Questions and Pass4sure dumps

news

IBM DB2 Will target Oracle Database developers
  • by using Jeffrey Schwartz
  • 04/24/09
  • IBM this week introduced a brand original edition of its flagship DB2 database with utility to exist able to supply compatibility with purposes developed for Oracle databases.

    Embedded in IBM's imminent DB2 9.7, code-named "Cobra" and slated for release in June, is utility that provides compatibility with EnterpriseDB Corp.'s Postgres Plus superior Server database, which helps plenary Oracle statistics forms, SQL syntax, semantics and different purposes constructed with Oracle PL/SQL saved strategies. Postgres superior Server is constructed on the open supply PostgreSQL database.

    "The set of technologies they now hold introduced will aid developers of custom applications and packaged functions installation to DB2," mentioned Bernie Spang, director of strategy, analytics and facts administration for IBM's software community.

    For IBM, or not it's the first time the traffic has licensed technology from a issuer of open source database application, although EnterpriseDB founder Andy Astor talked about the utility embedded in DB2 is according to proprietary code.

    "here's no longer an open supply play," Astor mentioned. "everything else they enact is open supply but that is without doubt one of the approaches they do their funds, by using promoting that compatibility know-how each to carriers devotion IBM, during this case, and to users within the kind of Postgres Plus advanced Server."

    EnterpriseDB facets to a brace of shoppers together with FTD and Sony online amusement which hold migrated functions developed for Oracle databases to Postgres Plus. The remove custody of IBM "provides them with confirmed performance for enabling compatibility between DB2 and applications written for Oracle," pointed out 451 neighborhood analyst Matthew Aslett in an electronic mail.

    "Database migrations are complicated, time-consuming, costly and rare, so any functionality that makes the process easier is going to exist welcomed by those organisations that are organized to do the bounce," he brought.

    The licensing pact is the first via EnterpriseDB, however Astor renowned others are being negotiated.

    IBM is hoping the rush will inspire more consumers to migrate to its InfoSphere Warehouse 9.7 enterprise edition, a knowledge-cleansing and traffic analytics platform according to DB2 and expertise IBM received from Cognos.

    the brand original unlock is targeted at bringing records mining, analytics and cubing to departments of companies and smaller agencies, Spang observed. too original in DB2 is uphold for performing simultaneous transactions throughout XML and relational statistics.

    concerning the writer

    Jeffrey Schwartz is government editor, elements, for Redmond Developer information. that you would exist able to contact him at jschwartz@reddevnews.com.


    IBM gives Away DB2 | killexams.com real Questions and Pass4sure dumps

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    000-611 DB2 10.1 DBA for Linux UNIX and Windows

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    BEDFORD, Mass.--(BUSINESS WIRE)--Progress Software Corporation (NASDAQ: PRGS), a global software company that simplifies and enables the progress and deployment of traffic applications, today announced the release of DataDirect Connect® for JDBC 5.1 and DataDirect Connect® XE for JDBC 5.1. Both offerings enable fast, secure, and highly scalable connectivity for a broad spectrum of data sources, which now comprehend cloud databases such as Microsoft SQL Azure™, IBM DB2 10.1, IBM DB2 pureScale 9.8, and Microsoft SQL Server 2012. This nature of connectivity exemplifies Progress Software’s goal to assist companies better access their data whether on premise, or in the cloud.

    In today’s fast-paced world, organizations are looking for better ways to enhance customer experiences and anatomize available data for more focused revenue opportunities. Crucial to that success is highly efficient and performant data connectivity across a wide variety of data sources, both on-premise and in the cloud. The improved DataDirect® JDBC drivers handle communications and reminiscence usage in a novel passage – resulting in significant increases in both performance and efficiency. reminiscence and CPU usage is reduced overall while throughput levels are raised, which translates into reduced operating costs.

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  • Expanded database coverage, with advanced uphold and certification:
  • IBM DB2 10.1 for Linux, UNIX, and Windows, including SQL enhancements and uphold for Time Travel Queries
  • IBM DB2 pureScale 9.8
  • Microsoft SQL Server 2012, including SQL enhancements and protocol upgrade.
  • Expanded endemic database security for Oracle Advanced Security (OAS), including uphold for ten additional encryption algorithms.
  • Progress Software is the software industry’s leading comprehensive provider of software for connecting the world’s most captious traffic applications to data and services, running on any platform, using proven and emerging standards. Developers worldwide depend on DataDirect products to connect their applications to an unparalleled orbit of data sources using standards-based interfaces such as ODBC, JDBC and ADO.NET, XQuery and SOAP. More than 300 leading independent software vendors and thousands of enterprises depend on Progress Software to simplify and streamline data connectivity for distributed systems and to reduce the complexity of mainframe integration.

    Quotes:

    “Building high performing applications is an art form, and many developers and traffic managers don’t realize the significant repercussion the JDBC driver has on the performance of the application. This release provides performance gains in raw precipitate and throughput coupled with continued reduction of reminiscence and CPU usage per unit of work,” said Michael Benedict, vice president and traffic line manager, Progress DataDirect. “It too further widens the performance handicap that their drivers provide over others on the market. Enterprise’s using Progress DataDirect connectivity solutions survey greater performance, scalability, and reliability—all with increased enterprise security.”

    About Progress Software Corporation

    Progress Software Corporation (NASDAQ: PRGS) simplifies the development, deployment and management of traffic applications on-premise or on any Cloud, on any platform and on any device with minimal IT complexity and low total cost of ownership. Progress Software can exist reached at www.progress.com or 1-781-280-4000.

    Follow Progress Software on Twitter: @ProgressSW

    Follow Progress DataDirect on Twitter: @DataDirect_News

    Progress and DataDirect are trademarks or registered trademarks of Progress Software Corporation or one of its subsidiaries or affiliates in the U.S. and other countries. Any other names contained herein may exist trademarks of their respective owners.


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    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 found compared to the other databases I’m covering (Oracle, SQL Server, PostgreSQL and MySQL).

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    Well, let’s pan it: it’s IBM software. It has a pretty long history. You would probably not hope that it is effortless 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 exist another surprise: there is a free community edition. It’s not open source, but it’s free as in free beer.

    No effortless Explain

    The first problem I stumbled upon is that DB2 has no effortless passage to display an execution plan. No kidding. Here is what IBM says about it:

  • Explain a statement by prefixing it with define scheme for

    This stores the execution scheme in a set of tables in the database (you’ll need to create these tables first). This is pretty much devotion in Oracle.

  • Display a stored define scheme using db2exfmt

    This is a command line tool, not something you can tumble from an SQL prompt. To Run this appliance you’ll need shell access to a DB2 installation (e.g. on the server). That means, that you cannot employ this appliance over an regular database connection.

  • There is another command line appliance (db2expln) that combines the two steps from above. Apart from the fact that this procedure is not exactly convenient, the output you trap 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 plenary output of db2exfmt has 400 lines. Quite a lot information that you’ll hardly ever need. Even the information that you need plenary the time (the operations) is presented in a pretty unreadable passage (IMHO). I’m particularly thankful that plenary 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 passage to display an execution plan: “Write your own queries against the define 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 scheme of the eventual 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 - join (Q2.SUBSIDIARY_ID = DECIMAL(Q1.SUBSIDIARY_ID, 10, 0)) join (Q2.EMPLOYEE_ID = DECIMAL(Q1.EMPLOYEE_ID, 10, 0)) 3 - SARG ((CURRENT DATE - 6 MONTHS) < Q2.SALE_DATE) Explain scheme by Markus Winand - NO WARRANTY http://use-the-index-luke.com/s/last_explained

    I’m pretty sure many DB2 users will content that this presentation of the execution scheme 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 plenary kinds of databases and they plenary hold a passage to display the execution scheme 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 trap the source of the last_explained view from here or from GitHub (direct download). I’m staid about the no warranty part. Yet I’d devotion to know about problems you hold with the view.

    Emulating Partial Indexes is Possible

    Partial indexes are indexes not containing plenary 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 devotion the following can exist 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 uphold a where clause for indexes devotion 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 plenary 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 plenary 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 role 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; cease IF; END; /

    It’s a deterministic role and can thus exist used in an Oracle function-based index. This won’t toil 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 role returns NULL which is not set aside in the index (there is no other column that could exist non-NULL). Voilà: a partial index in the Oracle database.

    To employ this index, just employ the pi_processed role 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 retreat for this approach, you’d better need the partial index desperately.

    To do this approach toil in DB2 they need two components: (1) the EXCLUDE NULL KEYS clause (no-brainer); (2) a passage to map processed rows to NULL without using a user-defined role so it can exist used in a DB2 index.

    Although the second one might appear to exist hard, it is actually very simple: DB2 can enact expression based indexing, just not on user-defined functions. The mapping they need can exist accomplished with regular SQL expressions:

    CASE WHEN processed = 'N' THEN receiver ELSE NULL END

    This implements the very selfsame mapping as the pi_processed role above. bethink that CASE expressions are first class citizens in SQL—they can exist 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 exist indexed rows to NULL and the EXCLUDE NULL KEYS feature to obviate 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 | recur | | 49686 2 | TBSCAN MESSAGES | 900 of 999999 ( .09%) | 49686 Predicate Information 2 - SARG (Q1.PROCESSED = 'N') SARG (Q1.RECEIVER = ?)

    Oh, that’s a expansive disappointment: the optimizer didn’t remove the index. It does a plenary table scan instead. What’s wrong?

    If you hold a very nigh recognize at the execution scheme 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 trustworthy understanding what they enact and can transform them.

    We need a passage to apply their magic NULL-mapping but they can’t employ functions (can’t exist indexed) nor can they employ CASE expressions, because they are optimized away. Dead-end? Au contraire: it’s pretty effortless to confuse an optimizer. plenary you need to enact 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 trap 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 cease = ?) 5 - START ( CASE WHEN (Q1.PROCESSED = 'N') THEN (Q1.RECEIVER + 0) ELSE NULL cease = ?) cease ( 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 devotion in more recent Oracle versions).

    As always: just because you can enact something doesn’t weigh in you should. This approach is so ugly—even more unsightly than the Oracle workaround—that you must desperately need a partial index to warrant this maintenance nightmare. Further it will cease working whenever the optimizer becomes smart enough to optimize +0 away. However, then you just need set aside an even more unsightly obfuscation in there.

    INCLUDE Clause Only for Unique Indexes

    With the comprehend 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 comprehend clause before because SQL Server offers it too, but there are some differences:

  • In SQL Server comprehend columns are only added to the leaf nodes of the index—not in the root and fork 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 exist the case in DB2.

  • In DB2 the comprehend clause is only convincing for unique indexes. It allows you to implement the uniqueness of the key columns only—the comprehend columns are just not considered when checking for uniqueness. This is the selfsame in SQL Server except that SQL Server supports comprehend columns on non-unique indexes too (to leverage the above-mentioned benefits).

  • Almost No NULLS FIRST/LAST Support

    The NULLS FIRST and NULLS eventual 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 measure 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 uphold 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 eventual 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. selfsame is uniform for ORDER BY col DESC NULLS LAST—accepted, but doesn’t change anything. The other two combinations are not convincing at plenary and yield 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 uphold the offset clause, which was introduced with the very selfsame release of the SQL standard. Although it might recognize devotion an whimsical omission, it is in fact a very judicious waddle that I deeply respect. offset is the root of so much evil. In the next section, I’ll define how to live without offset.

    Side node: If you hold code using offset that you cannot change, you can still activate the MySQL compatibility vector that makes restrict and offset available in DB2. amusing enough, combining fetch first with offset is then still not practicable (that would exist measure compliant).

    Decent Row-Value Predicates Support

    SQL row-values are multiple scalar values grouped together by braces to shape a single 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 penniless uphold 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 devotion 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 trap the next few ones. For that you’d employ the time_stamp value of the eventual 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 selfsame 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 hold 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 do sure 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 exist 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 measure since 1992! However, it is practicable to apply the selfsame logic without row-value predicates—but that’s rather inconvenient and effortless to trap wrong.

    Even if a database understands the row-value predicate, it’s not necessarily understanding these predicates trustworthy enough to do proper employ of indexes that uphold the order by clause. This is where MySQL fails—although it applies the logic correctly and delivers the prerogative 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 uphold row-value predicates in the passage it should be.

    The fact that DB2 LUW has everything you need for convenient keyset pagination is too the judgement why there is absolutely no judgement to complain about the missing offset functionality. In fact I assume that offset should not hold been added to the SQL measure and I’m blissful to survey a vendor that resisted the urge to add it because its became piece of the standard. Sometimes the measure is wrong—just sometimes, not very often ;) I can’t change the standard—all I can enact is teaching how to enact it prerogative and start campaigns devotion #NoOffset.

    Figure A.2. Database/Feature Matrix

    If you devotion my passage of explaining things, you’ll adore my book “SQL Performance Explained”.


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