EN The improvement to a specific query’s performance depends on how much of the query plan can be pushed down to the Aurora storage layer. Customers have reported more than an order of magnitude improvement to query latency.
Traduzir "good query performance" para indonésio
Mostrando 50 de 50 traduções da frase "good query performance" de inglês para indonésio
Traduções de good query performance
"good query performance" em inglês pode ser traduzido nas seguintes palavras/frases indonésio:
Tradução de inglês para indonésio de good query performance
inglês
indonésio
ID Peningkatkan untuk kinerja kueri tertentu bergantung pada seberapa banyak rencana kueri yang dapat ditekan ke lapisan penyimpanan Aurora. Pelanggan telah melaporkan terdapat lebih dari satu urutan peningkatan magnitudo pada latensi kueri.
| inglês | indonésio |
|---|---|
| improvement | peningkatan |
| depends | bergantung |
| query | kueri |
| plan | rencana |
| aurora | aurora |
| storage | penyimpanan |
| layer | lapisan |
| customers | pelanggan |
| latency | latensi |
| performance | kinerja |
| to | ke |
| can | dapat |
| of | satu |
| more | lebih |
| the | yang |
EN Parallel Query is a good fit for analytical workloads requiring fresh data and good query performance, even on large tables. Workloads of this type are often operational in nature.
ID Parallel Query sangat cocok untuk beban kerja yang memerlukan data segar dan kinerja kueri yang bagus, bahkan pada tabel besar. Beban kerja jenis ini sering kali bersifat operasional.
| inglês | indonésio |
|---|---|
| query | kueri |
| good | bagus |
| workloads | beban kerja |
| fresh | segar |
| data | data |
| performance | kinerja |
| large | besar |
| tables | tabel |
| type | jenis |
| operational | operasional |
| even | bahkan |
| often | sering |
| for | untuk |
| this | ini |
| and | dan |
| is | yang |
| in | pada |
EN The query optimizer will automatically decide whether to use Parallel Query for your specific query
ID Pengoptimal kueri akan otomatis menentukan apakah akan menggunakan Parallel Query pada kueri tertentu Anda
| inglês | indonésio |
|---|---|
| query | kueri |
| automatically | otomatis |
| specific | tertentu |
| your | anda |
| the | akan |
EN To check if a query is using Parallel Query, you can view the query execution plan by running the EXPLAIN command
ID Untuk memeriksa apakah sebuah kueri menggunakan Parallel Query, Anda dapat melihat rencana eksekusi kueri dengan menjalankan perintah EXPLAIN
| inglês | indonésio |
|---|---|
| query | kueri |
| execution | eksekusi |
| plan | rencana |
| command | perintah |
| you | anda |
| can | dapat |
| a | sebuah |
| running | menjalankan |
| to | melihat |
EN Once you're convinced that Parallel Query is the right choice, you can rely on the query optimizer to automatically decide which queries will use Parallel Query
ID Setelah Anda yakin bahwa Parallel Query adalah pilihan yang tepat, Anda dapat bergantung pada pengoptimal kueri agar otomatis menentukan kueri mana yang akan menggunakan Parallel Query
| inglês | indonésio |
|---|---|
| rely | bergantung |
| automatically | otomatis |
| choice | pilihan |
| can | dapat |
| is | adalah |
| you | anda |
| to | setelah |
| query | kueri |
EN Amazon Managed Service for Prometheus automatically scales as your ingestion and query needs grow, handling millions of unique time series metrics from large container deployments while maintaining consistent query response times
ID Amazon Managed Service for Prometheus secara otomatis diskalakan saat penyerapan dan kebutuhan kueri Anda bertambah, menangani jutaan metrik deret waktu unik dari deployment kontainer yang besar sambil mempertahankan waktu respons kueri yang konsisten
| inglês | indonésio |
|---|---|
| amazon | amazon |
| query | kueri |
| needs | kebutuhan |
| millions | jutaan |
| metrics | metrik |
| large | besar |
| container | kontainer |
| maintaining | mempertahankan |
| consistent | konsisten |
| unique | unik |
| time | waktu |
| from | dari |
| automatically | otomatis |
| and | dan |
EN Amazon Aurora Parallel Query refers to the ability to push down and distribute the computational load of a single query across thousands of CPUs in Aurora’s storage layer
ID Amazon Aurora Parallel Query merujuk pada kemampuan untuk menekan dan mendistribusikan beban komputasi dari satu kueri di ribuan CPU dalam lapisan penyimpanan Aurora
| inglês | indonésio |
|---|---|
| amazon | amazon |
| aurora | aurora |
| query | kueri |
| ability | kemampuan |
| distribute | mendistribusikan |
| load | beban |
| storage | penyimpanan |
| layer | lapisan |
| in | di |
| the | dan |
| to | untuk |
| thousands of | ribuan |
EN Without Parallel Query, a query issued against an Amazon Aurora database would be executed wholly within one instance of the database cluster; this would be similar to how most databases operate.
ID Tanpa Parallel Query, kueri yang dikeluarkan pada database Amazon Aurora akan dieksekusi sepenuhnya dalam satu instans klaster database; hal ini mirip dengan bagaimana sebagian besar database beroperasi.
| inglês | indonésio |
|---|---|
| query | kueri |
| amazon | amazon |
| aurora | aurora |
| wholly | sepenuhnya |
| most | besar |
| operate | beroperasi |
| without | tanpa |
| how | bagaimana |
| this | hal |
EN Q: What changes do I need to make to my query to take advantage of Parallel Query?
ID T: Perubahan apa yang perlu dilakukan pada kueri saya agar dapat memanfaatkan Parallel Query?
| inglês | indonésio |
|---|---|
| changes | perubahan |
| query | kueri |
| need | perlu |
| advantage | memanfaatkan |
| to | agar |
| my | saya |
EN Parallel Query is available for the MySQL 5.6-compatible version of Amazon Aurora, starting with v1.18.0. We plan to extend Parallel Query to Aurora with MySQL 5.7 compatibility, and to Aurora PostgreSQL-Compatible Edition.
ID Parallel Query tersedia untuk versi Amazon Aurora yang kompatibel dengan MySQL 5.6, dimulai dengan v1.18.0. Kami berencana untuk memperluas Parallel Query ke Aurora dengan kompatibilitas MySQL 5.7, serta Aurora dengan kompatibilitas PostgreSQL.
| inglês | indonésio |
|---|---|
| mysql | mysql |
| version | versi |
| amazon | amazon |
| aurora | aurora |
| compatible | kompatibel |
| to | ke |
| we | kami |
| available | tersedia |
| with | dengan |
| the | yang |
| for | untuk |
EN While we expect Parallel Query to improve query latency in most cases, you may incur higher I/O costs
ID Meskipun kami berharap Parallel Query dapat meningkatkan latensi kueri di sebagian besar kasus, Anda mungkin dikenai biaya I/O yang lebih tinggi
| inglês | indonésio |
|---|---|
| query | kueri |
| latency | latensi |
| cases | kasus |
| costs | biaya |
| in | di |
| most | besar |
| we | kami |
| improve | meningkatkan |
| you | anda |
| may | mungkin |
| higher | lebih tinggi |
| to | lebih |
| while | yang |
EN Amazon Timestream offers up to 1,000x faster query performance at as little as 1/10th the cost of relational databases
ID Amazon Timestream menawarkan hingga 1.000x kinerja kueri yang lebih cepat dengan harga 1/10 biaya basis data relasional
| inglês | indonésio |
|---|---|
| amazon | amazon |
| offers | menawarkan |
| query | kueri |
| performance | kinerja |
| relational | relasional |
| databases | basis data |
| cost | biaya |
| the | yang |
| faster | lebih cepat |
| to | hingga |
EN Use the familiar, flexible Prometheus query language (PromQL) to filter, aggregate, and alarm on metrics, and quickly gain performance visibility for large volumes of metrics labels
ID Gunakan bahasa kueri Prometheus (PromQL) yang familier dan fleksibel untuk memfilter, mengagregasi, dan memperingatkan metrik, dan dengan cepat mendapatkan visibilitas performa untuk label metrik volume besar
| inglês | indonésio |
|---|---|
| flexible | fleksibel |
| query | kueri |
| metrics | metrik |
| performance | performa |
| visibility | visibilitas |
| large | besar |
| use | gunakan |
| language | bahasa |
| the | dan |
| quickly | cepat |
| to | untuk |
EN Yes. If your goal is to analyze database activity, consider using Aurora advanced auditing, general logs, and slow query logs instead, to avoid impacting the performance of your database.
ID Ya. Jika tujuan Anda adalah untuk menganalisis aktivitas basis data, pertimbangkan untuk menggunakan audit lanjutan Aurora, log umum, dan log kueri lambat sebagai gantinya untuk mencegah memengaruhi performa basis data.
| inglês | indonésio |
|---|---|
| goal | tujuan |
| activity | aktivitas |
| aurora | aurora |
| general | umum |
| query | kueri |
| performance | performa |
| analyze | menganalisis |
| if | jika |
| is | adalah |
| yes | ya |
| logs | log |
| database | basis |
| the | dan |
| to | untuk |
EN Parallel Query results in faster performance, speeding up analytical queries by up to two orders of magnitude
ID Parallel Query menghasilkan performa lebih cepat, meningkatkan kecepatan kueri analisis sebesar dua urutan magnitudo
| inglês | indonésio |
|---|---|
| performance | performa |
| to | lebih |
| faster | lebih cepat |
| two | dua |
| query | kueri |
EN Q: If Parallel Query speeds up queries with only rare performance losses, should I simply turn it on all the time?
ID T: Jika Parallel Query meningkatkan kecepatan kueri hanya dengan kehilangan performa yang jarang, haruskah saya mengaktifkannya sepanjang waktu?
| inglês | indonésio |
|---|---|
| speeds | kecepatan |
| performance | performa |
| losses | kehilangan |
| if | jika |
| i | saya |
| time | waktu |
| with | dengan |
| the | yang |
| query | kueri |
EN It’s designed to speed up query performance on your relational database and is suitable for use cases such as operational analytics, when you need to perform fast analytical queries on fresh data in your database.
ID Fitur ini dirancang untuk meningkatkan kecepatan kinerja kueri pada basis data relasional, dan cocok untuk kasus penggunaan seperti analisis operasional, ketika Anda perlu melakukan kueri analisis cepat pada data segar dalam basis data Anda.
| inglês | indonésio |
|---|---|
| performance | kinerja |
| relational | relasional |
| suitable | cocok |
| cases | kasus |
| operational | operasional |
| analytics | analisis |
| fresh | segar |
| speed | kecepatan |
| use | penggunaan |
| data | data |
| when | ketika |
| fast | cepat |
| database | basis |
| in | dalam |
| designed | dirancang |
| and | dan |
| need | perlu |
| query | kueri |
| to | untuk |
| as | seperti |
EN General Performance Hardware and Scaling Backup and Restore High Availability and Replication Security Serverless Parallel Query Amazon DevOps Guru for RDS
ID Umum Kinerja Perangkat Keras dan Penskalaan Pencadangan dan Pemulihan Ketersediaan dan Replikasi yang Sangat Baik Keamanan Tanpa Server Parallel Query Amazon DevOps Guru for RDS
| inglês | indonésio |
|---|---|
| general | umum |
| performance | kinerja |
| scaling | penskalaan |
| availability | ketersediaan |
| security | keamanan |
| serverless | tanpa server |
| amazon | amazon |
| devops | devops |
| rds | rds |
| and | dan |
| hardware | perangkat keras |
EN AUDGBP good looking for short with good riskrewardAUDGBP good lo
ID AUDGBP BERUBAH TREN BERSIAP UNTUK BUY
| inglês | indonésio |
|---|---|
| for | untuk |
EN AUDGBP good looking for short with good riskrewardAUDGBP good lo
ID AUDGBP BERUBAH TREN BERSIAP UNTUK BUY
| inglês | indonésio |
|---|---|
| for | untuk |
EN AUDGBP good looking for short with good riskrewardAUDGBP good lo
ID AUDGBP BERUBAH TREN BERSIAP UNTUK BUY
| inglês | indonésio |
|---|---|
| for | untuk |
EN AUDGBP good looking for short with good riskrewardAUDGBP good lo
ID AUDGBP BERUBAH TREN BERSIAP UNTUK BUY
| inglês | indonésio |
|---|---|
| for | untuk |
EN AUDGBP good looking for short with good riskrewardAUDGBP good lo
ID AUDGBP BERUBAH TREN BERSIAP UNTUK BUY
| inglês | indonésio |
|---|---|
| for | untuk |
EN AUDGBP good looking for short with good riskrewardAUDGBP good lo
ID AUDGBP BERUBAH TREN BERSIAP UNTUK BUY
| inglês | indonésio |
|---|---|
| for | untuk |
EN AUDGBP good looking for short with good riskrewardAUDGBP good lo
ID AUDGBP BERUBAH TREN BERSIAP UNTUK BUY
| inglês | indonésio |
|---|---|
| for | untuk |
EN AUDGBP good looking for short with good riskrewardAUDGBP good lo
ID AUDGBP BERUBAH TREN BERSIAP UNTUK BUY
| inglês | indonésio |
|---|---|
| for | untuk |
EN AUDGBP good looking for short with good riskrewardAUDGBP good lo
ID AUDGBP BERUBAH TREN BERSIAP UNTUK BUY
| inglês | indonésio |
|---|---|
| for | untuk |
EN AUDGBP good looking for short with good riskrewardAUDGBP good lo
ID AUDGBP BERUBAH TREN BERSIAP UNTUK BUY
| inglês | indonésio |
|---|---|
| for | untuk |
EN EMQ provides you with a real-time analytics solution based on materialized views, supporting complex query and analysis operations on continuously generated IoT data streams
ID EMQ menyediakan solusi analisis real-time berdasarkan tampilan yang dimaterialisasikan yang mendukung query dan operasi analisis aliran data yang terus menerus dihasilkan oleh data IoT
| inglês | indonésio |
|---|---|
| emq | emq |
| provides | menyediakan |
| solution | solusi |
| supporting | mendukung |
| operations | operasi |
| generated | dihasilkan |
| data | data |
| analysis | analisis |
| on | berdasarkan |
| and | dan |
EN You can query materialized views with simple SQL statements to gain real-time data insights, leverage data value, and make instant business decisions.
ID Anda dapat mendapatkan solusi analisis real-time dengan statement SQL sederhana untuk mendapatkan wawasan secara real-time dan membuat keputusan.
| inglês | indonésio |
|---|---|
| simple | sederhana |
| sql | sql |
| insights | wawasan |
| decisions | keputusan |
| can | dapat |
| and | dan |
| you | anda |
| to | untuk |
EN MySQL Features PostgreSQL Features Parallel Query Serverless Babelfish
ID Fitur MySQL Fitur PostgreSQL Parallel Query Nirserver Babelfish
| inglês | indonésio |
|---|---|
| mysql | mysql |
| features | fitur |
| postgresql | postgresql |
EN Database query results caching, persistent session caching, and full-page caching are all popular examples of caching with ElastiCache for Redis
ID Kueri database menghasilkan caching, caching sesi yang persisten, dan caching halaman utuh merupakan contoh populer dari caching dengan ElastiCache untuk Redis
| inglês | indonésio |
|---|---|
| database | database |
| query | kueri |
| popular | populer |
| examples | contoh |
| redis | redis |
| session | sesi |
| page | halaman |
| and | dan |
| are | merupakan |
| for | untuk |
EN You pay only for the data you ingest, store, and query.
ID Anda hanya membayar data yang diserap, disimpan, dan dijadikan kueri.
| inglês | indonésio |
|---|---|
| data | data |
| query | kueri |
| pay | membayar |
| you | anda |
| the | dan |
EN Amazon Timestream's purpose-built query engine transparently accesses and combines data across storage tiers without you having to specify the data location.
ID Mesin kueri yang dibangun sesuai tujuan dari Amazon Timestream secara transparan mengakses dan menggabungkan data di seluruh tingkat penyimpanan tanpa perlu ditentukan lokasi datanya.
| inglês | indonésio |
|---|---|
| amazon | amazon |
| query | kueri |
| engine | mesin |
| data | data |
| storage | penyimpanan |
| built | dibangun |
| purpose | tujuan |
| without | tanpa |
| location | lokasi |
| to | seluruh |
| the | dan |
EN Babelfish enables Aurora PostgreSQL to work with commonly-used SQL Server query tools, commands, and drivers
ID Babelfish memungkinkan Aurora PostgreSQL bekerja dengan berbagai alat, perintah, dan driver kueri SQL Server yang umum digunakan
| inglês | indonésio |
|---|---|
| enables | memungkinkan |
| aurora | aurora |
| postgresql | postgresql |
| sql | sql |
| server | server |
| query | kueri |
| tools | alat |
| drivers | driver |
| used | digunakan |
| work | bekerja |
| and | dan |
EN SQL or Structured Query Language is the primary interface used to communicate with Relational Databases
ID SQL atau Structured Query Language adalah antarmuka utama yang digunakan untuk berkomunikasi dengan Database Relasional
| inglês | indonésio |
|---|---|
| sql | sql |
| primary | utama |
| interface | antarmuka |
| relational | relasional |
| databases | database |
| or | atau |
| used | digunakan |
| is | adalah |
| communicate | berkomunikasi |
| the | yang |
| to | untuk |
| with | dengan |
EN Database query results caching, persistent session caching, and full-page caching are all popular examples of caching with ElastiCache for Redis
ID Kueri database menghasilkan caching, caching sesi yang persisten, dan caching halaman utuh merupakan contoh populer dari caching dengan ElastiCache untuk Redis
| inglês | indonésio |
|---|---|
| database | database |
| query | kueri |
| popular | populer |
| examples | contoh |
| redis | redis |
| session | sesi |
| page | halaman |
| and | dan |
| are | merupakan |
| for | untuk |
EN Database query results caching, persistent session caching, and full-page caching are all popular examples of caching with ElastiCache for Memcached.
ID Caching, caching sesi persisten, dan caching halaman penuh hasil kueri basis data merupakan contoh populer caching dengan ElastiCache for Memcached.
| inglês | indonésio |
|---|---|
| query | kueri |
| results | hasil |
| popular | populer |
| examples | contoh |
| session | sesi |
| page | halaman |
| are | merupakan |
| full | penuh |
| database | basis |
| and | dan |
EN By using a directed acyclic graph (DAG) execution engine, Spark can create efficient query plans for data transformations
ID Dengan mesin eksekusi grafik asiklik yang diarahkan (DAG), Spark dapat membuat rencana kueri yang efisien untuk transformasi data
| inglês | indonésio |
|---|---|
| graph | grafik |
| execution | eksekusi |
| engine | mesin |
| efficient | efisien |
| query | kueri |
| plans | rencana |
| data | data |
| can | dapat |
| create | membuat |
| for | untuk |
| by | dengan |
EN MySQL Features PostgreSQL Features Parallel Query Serverless Babelfish
ID Fitur MySQL Fitur PostgreSQL Parallel Query Nirserver Babelfish
| inglês | indonésio |
|---|---|
| mysql | mysql |
| features | fitur |
| postgresql | postgresql |
EN Babelfish enables Aurora PostgreSQL to work with commonly-used SQL Server query tools, commands, and drivers
ID Babelfish memungkinkan Aurora PostgreSQL bekerja dengan berbagai alat, perintah, dan driver kueri SQL Server yang umum digunakan
| inglês | indonésio |
|---|---|
| enables | memungkinkan |
| aurora | aurora |
| postgresql | postgresql |
| sql | sql |
| server | server |
| query | kueri |
| tools | alat |
| drivers | driver |
| used | digunakan |
| work | bekerja |
| and | dan |
EN Q: What is Amazon Aurora Parallel Query?
ID T: Apa itu Amazon Aurora Parallel Query?
| inglês | indonésio |
|---|---|
| amazon | amazon |
| aurora | aurora |
| what | apa |
| is | itu |
EN Q: What benefits does Parallel Query provide?
ID T: Apa keuntungan yang diberikan Parallel Query?
| inglês | indonésio |
|---|---|
| benefits | keuntungan |
| what | apa |
| does | yang |
EN It also delivers operational simplicity and data freshness as you can issue a query directly over the current transactional data in your Aurora cluster
ID Ini juga memberikan kesederhanaan operasional dan kesegaran data karena Anda dapat mengeluarkan kueri secara langsung atas data transaksional saat ini dalam klaster Aurora Anda
| inglês | indonésio |
|---|---|
| operational | operasional |
| query | kueri |
| current | saat ini |
| aurora | aurora |
| data | data |
| can | dapat |
| as | karena |
| in | dalam |
| over | atas |
| also | juga |
| the | dan |
| directly | langsung |
EN And, Parallel Query enables transactional and analytical workloads on the same database by allowing Aurora to maintain high transaction throughput alongside concurrent analytical queries.
ID Dan, Parallel Query memungkinkan beban kerja transaksional dan analisis pada basis data yang sama dengan memungkinkan Aurora untuk menjaga throughput transaksi tinggi bersama dengan kueri analisis konkuren.
| inglês | indonésio |
|---|---|
| workloads | beban kerja |
| aurora | aurora |
| transaction | transaksi |
| throughput | throughput |
| maintain | menjaga |
| enables | memungkinkan |
| database | basis |
| high | tinggi |
| the | dan |
| to | bersama |
| same | sama |
| query | kueri |
EN Q: What specific queries improve under Parallel Query?
ID T: Kueri spesifik apa yang meningkat di bawah Parallel Query?
| inglês | indonésio |
|---|---|
| specific | spesifik |
| what | apa |
| under | bawah |
| query | kueri |
EN Most queries over large data sets that are not already in the buffer pool can expect to benefit. The initial version of Parallel Query can push down and scale out of the processing of more than 200 SQL functions, equijoins, and projections.
ID Sebagian kueri di atas set data besar yang belum ada dalam kumpulan buffer mungkin dapat memperoleh keuntungan. Versi awal Parallel Query dapat menekan dan menskalakan pemrosesan lebih dari 200 fungsi, equijoin, dan proyeksi SQL.
| inglês | indonésio |
|---|---|
| data | data |
| initial | awal |
| version | versi |
| processing | pemrosesan |
| sql | sql |
| functions | fungsi |
| can | dapat |
| in | di |
| the | dan |
| query | kueri |
| are | ada |
EN No changes in query syntax are required
ID Tidak ada perubahan dalam sintaksis kueri yang perlu dilakukan
| inglês | indonésio |
|---|---|
| no | tidak |
| changes | perubahan |
| query | kueri |
| in | dalam |
| are | ada |
EN If you wish to bypass the heuristics and force Parallel Query for test purposes, use the aurora_pq_force session variable.
ID Jika Anda ingin melewati heuristik dan mendorong Parallel Query untuk tujuan pengujian, gunakan variabel sesi aurora_pq_force.
| inglês | indonésio |
|---|---|
| use | gunakan |
| session | sesi |
| if | jika |
| bypass | melewati |
| you | anda |
| the | dan |
| wish | ingin |
| to | untuk |
EN Parallel Query can be enabled and disabled dynamically at both the global and session level using the aurora_pq parameter.
ID Parallel Query dapat diaktifkan dan dinonaktifkan secara dinamis pada tingkat global dan sesi menggunakan parameter aurora_pq.
| inglês | indonésio |
|---|---|
| enabled | diaktifkan |
| global | global |
| level | tingkat |
| session | sesi |
| using | menggunakan |
| can | dapat |
| the | dan |
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