Open-source SPL Makes Microservices More 'Micro'

As?microservices?get?popular,?there?are?and?will?be?more?and?more?applications?developed?based?on?microservices?framework.?To?accomplish?data?processing?tasks?within?microservices?conveniently?and?efficiently?thus?becomes?an?inevitable?issue.?For?a?conventional?monolithic?application,?we?can?implement?computations?in?the?database?using?the?specialized,?set-oriented?SQL.?The?database’s?powerful?computing?abilities?enable?quite?easy?data?processing.?In?the?microservices?frameworks,?a?database?is?mainly?used?to?realize?data?persistence?and?data?is?processed?at?the?application?(server)?side.

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Hardcoding?in?a?high-level?language?(mainly?in?Java)?is?the?main?approach?used?to?process?data?at?the?server?side.?The?native?Java?code?can?be?seamlessly?integrated?into?the?microservice-based?application?developed?in?Java.?Moreover,?Java?supports?procedural?coding?that?implements?computations?step?by?step?and?the?Stream?introduced?in?Java8?have?much?improved?the?language?for?computations.

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Yet,?Java?is?still?not?nearly?so?convenient?and?efficient?as?SQL?in?achieving?data?processing?goals.?It?is?rather?simple?to?achieve?a?grouping?and?aggregation?operation?in?SQL,?but?it?takes?dozens?of?lines?of?Java?code?to?finish?the?same?calculation.?The?gap?between?the?two?languages?is?even?bigger?in?dealing?with?complex?computations.?The?root?of?Java’s?inefficiencies?is?that?the?high-level?language?is?not?a?specialized?set-oriented?language?and?lacks?special?class?libraries?for?structured?data?computations,?resulting?in?long?and?complicated?code?as?well?as?"macro"?microservices.?What’s?more,?Java,?as?a?compiled?language,?is?hard?to?achieve?hot?swap,?and?it?needs?a?heavy?mechanism?like?Docker,?which?is?unfriendly?to?the?volatile?microservices.?But?as?the?phrase?goes,?“one?cannot?have?the?cake?and?eat?it”,?you?cannot?embrace?microservices?and?refuse?Java’s?shortcomings.

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However,?an?ideal?microservices’?data?processing?component?should?have?certain?features.

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It?should?be?easy?to?be?integrated?into?microservices,?so?smooth?that?it?can?be?embedded?seamlessly?in?the?latter.?It?should?have?powerful?yet?simple?to?use?computational?capabilities?to?accomplish?data?processing?tasks?conveniently.?It?should?support?hot?swap?(and?hot?deployment)?to?provide?services?without?shutting?down?the?system?for?maintenance.?And?it?should?have?an?open?computing?system?that?can?directly?access?diverse?data?sources.

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esProc?SPL?is?the?ideal?one?that?can?end?all?issues.

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The?open-source?data?processing?engine?not?only?can?be?seamlessly?integrated?into?a?Java?application?(which?is?based?on?microservices?framework)?but?offers?all-around?computational?abilities?that?enable?far?easier?SPL?programming?than?Java,?even?SQL,?programming.?Its?support?of?hot?swap?and?diverse?data?sources?introduce?new?ideas?for?processing?data?within?microservices.

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##?Efficient?SPL?programming

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The?specialized?and?versatile?SPL?data?processing?engine?is?able?to?deal?with?any?structured?data?computations?within?microservices.

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And?it?handles?them?simply?and?straightforwardly.?The?agile?SPL?syntax?enables?much?more?convenient?programming?than?Java.?The?following?example?shows?the?SPL?conciseness.

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According?to?the?stock?table,?we?are?trying?to?find?stocks?whose?prices?rise?for?at?least?five?days?in?a?row?and?count?their?rising?days?(treat?same?price?as?rising).

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<table>

?<tbody>

??<tr?class="firstRow">

???<td></td>

???<td>A</td>

???<td></td>

??</tr>

??<tr>

???<td>1</td>

???<td>=db.query@x("select?*?from?stock_record?order?by?ddate")</td>

???<td></td>

??</tr>

??<tr>

???<td>2</td>

???<td>=A1.group(code)</td>

???<td></td>

??</tr>

??<tr>

???<td>3</td>

???<td>=A2.new(code,~.group@i(price<price[-1]).max(~.len())-1:maxrisedays)?</td>

???<td>Count?days?for?each?stock?that?rises?in?a?row</td>

??</tr>

??<tr>

???<td>4</td>

???<td>=A3.select(maxrisedays>=5)</td>

???<td>Get?eligible?stock?records</td>

??</tr>

?</tbody>

</table>

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The?source?data?is?retrieved?from?the?database?and?computed?in?SPL.?To?achieve?the?computing?goal?in?this?example,?even?SQL?needs?a?triple-layer?nested?query,?let?alone?Java?(including?Stream?and?Kotlin).?SPL?uses?stepwise?coding?to?do?this,?which?is?more?convenient?than?SQL’s?descriptive?programming?style.?The?language’s?syntax?combines?merits?of?both?Java?and?SQL.

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SPL?offers?a?wealth?of?class?libraries?to?further?simplify?complex?computations.

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SPL?can?connect?to?and?directly?access?diverse?data?sources,?such?as?RDBs,?NoSQL,?CSV,?Excel,?HDFS,?Restful/Webservice?and?Kafka,?and?perform?mixed?computations?between?them,?significantly?facilitating?the?handling?of?heterogeneous?data?sources?tasks?in?microservices?and?further?increasing?programming?efficiency.

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SPL?enables?much?shorter?code?for?implementing?service?logic,?achieving?"micro"?computational?implementation?for?microservices?in?addition?to?its?light?architecture.

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##?Seamless?integration?ability

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The?Java-written?SPL?supports?jar?files?for?embedding.?Microservices?can?import?the?SPL?engine?in?the?form?of?jar?files?to?be?integrated?by?the?application.?SPL?also?encapsulates?the?standard?JDBC?driver,?through?which?the?application?can?invoke?an?SPL?script?within?the?microservices.

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Programmers?just?need?to?import?the?corresponding?jar?files?and?deploy?the?configuration?file?(</span><em><span>raqsoftConfig.xml</span></em><span>)?to?enable?the?JDBC?driver.?Then?they?can?invoke?an?SPL?script?with?a?short?piece?of?code.

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##?Hot?swap?that?enables?resource-effective?microservices

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The?interpreted?execution?SPL?intrinsically?supports?hot?swap,?making?it?more?adaptable?to?the?volatile?scenarios?in?microservices.?Any?change?to?a?service?will?take?effect?immediately?without?restarting?the?server.

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The?data?processing?logic?is?stored?in?a?SPL?file?(with?the?extension?.splx).?Any?modification?to?it?will?come?into?effect?in?real?time.?This?is?really?convenient?and?efficient?compared?with?the?restarting?server?design?in?a?compiled?language,?such?as?Java.

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SPL’s?hot?swap?capability?helps?reduce?microservices’?resource?consumption.?In?order?to?separately?operate?and?maintain?each?service?instance?of?microservices?where?Java?is?used?to?process?data,?often?they?are?deployed?individually?on?VM?or?Docker.?Though?services?are?physically?isolated?from?each?other,?the?Docker?will?use?more?resources?–?that?is,?it?is?resource-inefficient.?SPL?is?capable?of?being?independently?operated?and?maintained?(hot-swap?ability),?giving?the?same?capability?to?each?of?service?instances?deployed?together?and?thus?using?resources?efficiently.?Sometimes?services?need?to?be?separately?deployed?in?order?to?reduce?influence?on?each?other,?and?in?these?cases,?even?SPL?cannot?achieve?resource?efficiency.?Yet,?the?computing?engine?offers?a?large?variety?of?options?in?order?to?slim?down?microservices?in?terms?of?both?architecture?and?resource?usage.

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##?High-performance?computing

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SPL?can?also?run?as?a?stand-alone?computing?server,?which?can?be?invoked?by?a?SPL?script?within?microservices?to?achieve?high-performance?computations.

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The?SPL?server?supports?distributed?computing?through?scale-out?across?a?cluster,?load-balancing?and?fault?tolerance.?It?also?supplies?a?lot?of?high-performance?algorithms?to?achieve?high-performance?computing.

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In?a?nutshell,?SPL?can?achieve?fast?and?efficient?data?processing?for?microservices?through?its?seamless?integration?ability,?hot?swap?ability,?easy?programming?and?high-performance?computing?while?offering?architectural?conveniences?to?effectively?facilitate?microservices?development,?making?comprehensively?"micro"?microservices.

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##?SPL?Resource

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-?[SPL?Official?Website](https://www.scudata.com)??

-?[SPL?Source?Code](https://github.com/SPLWare/esProc)??

-?[Download?esProc?SPL](?https://c.raqsoft.com/article/159581775626)