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Online scalability accelerates IO intensive applications Increasing the number of provisioned vCPUs from as few as 8 to as many as 8,064 while independently scaling storage allows organizations to lower the costs of running transaction-intensive workloads and easily grow configurations to support future requirements. PMem enables industry-leading OLTP latencyĭatabase-optimized persistent memory (PMem) integration reduces SQL read latencies to as low as 19 microseconds, allowing customers to process more transactions in less time and lower their costs. Starting Exadata Cloud Infrastructure X9M configurations allow Exadata Database Service customers to scale from 8 to 504 vCPUs of database compute power, enabling customers to accelerate OLTP databases with 5.6 million SQL read IOPS. Datasheet: Exadata Cloud Infrastructure X9M (PDF)Īccelerate transactional databases in the cloud Starting shape enables up to 5.6M SQL IOPS.Analyst report: Oracle Exadata Database Service: No Database or Workload Is Too Large (PDF).Intelligent storage increases throughputĮxadata Database Service on X9M infrastructure offloads SQL processing and analytics to intelligent storage servers, enabling customers to analyze data at up to 2,880 GB/s. Scalability improves insightsįully scaled Exadata Cloud Infrastructure X9M allows customers to create 31 PB data warehouses using typical 10:1 Hybrid Columnar Compression and accelerate their analysis with up to 3,072 storage server CPU cores to make fast, data-driven decisions. Starting configurations can be expanded by independent scaling of compute and storage resources, allowing organizations to lower the cost of creating large data warehouses by only deploying the database servers and licenses they need. Nondisruptive scaling of vCPU resources between 8 and 504 vCPUs enable organizations to increase performance to meet peak requirements. Starting Exadata Cloud Infrastructure X9M configurations allow Exadata Database Service customers to use Hybrid Columnar Compression to limit their costs by using small systems that support up to 1.5 PB data warehouses.
#Bold database workbench tutorial code#
These comments allow you to embed SQL code that will execute only in MySQL but not other databases.Analyze larger data warehouses in the cloud Starting shapes enable 1.5 PB data warehouses MySQL provides executable comments to support portability between different databases. Notice that MySQL does not support nested comments. You use this comment style to document a block of SQL code. C-style comment /**/ can span multiple lines.
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ReportsTo = 1002 # get subordinates of Diane If MySQL didn’t use the whitespace, it would return 10 instead. MySQL uses a whitespace to avoid the problems with some SQL construct such as: SELECT 10-1 Note that standard SQL does not require a whitespace after the second dash. The double dash-comment style requires at least whitespace or control character (space, tab, newline, etc) after the second dash. It only executes the SQL part except for executable comment, which we will discuss in the next section. When parsing SQL code, MySQL ignores the comments part.
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CommentsĬomments can be used to document the purpose of an SQL statement or the logic of a code block in a stored procedure.
#Bold database workbench tutorial how to#
Summary: in this tutorial, you will learn how to use MySQL comment to document an SQL statement or a block of code in MySQL.