INFINIFLUX is the World's Fastest Time Series DBMS for IoT and BigData. Insert more than millions of records/sec in a single node Select and Search billions of records/sec in a single node Support ANSI SQL syntax for time series features Support Full-Text search by powerful SQL extensions Extremely fast time series data analysis Support Ipv4 and Ipv6 datatypes for easy IP manipulation Support CLOB and BLOB datatypes for big sized data

1. InfiniFlux
Time Series DBMS
FAQ
www.infiniflux.com
Aug. 2015

2. Contents
Who use InfiniFlux?
What is InfiniFlux?
What is time-series big data?
How fast is data inserted using InfiniFlux?
How can data be inserted that fast?
What kind of operating system does InfiniFlux support?
What kinds of InfiniFlux application program interfaces are supported?

3. Contents
Why does not InfiniFlux support the UPDATE statement?
How much data are saved maximally using InfiniFlux?
How can I set a dashboard when InfiniFlux is linked with Grafana?
What are the differences with the traditional DBMS?
What are parallel disk tablespaces?
Does InfiniFlux support the abilitity to perform full text searches?
Does InfiniFlux perform a backup operation?
What is the mount command for a backup operation?

4. Who use InfiniFlux?
InfiniFluxis an optimized solution for the
fields where massive amounts of data are generated
through systems all the time and high-speed data
processing cannot be implemented using
traditional DBMS or open source software.
For example, InfiniFlux can not only store
the massive amounts of sensor data and time-series
data generated from the firewall equipment or during
the manufacturing process in real-time, but also
analyze them and monitor the status of their
processing.
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5. What is InfiniFlux?
InfiniFlux is a time-series database which
performs real-time data processing, i.e., data are
inserted at high speed, retrieved and analyzed
without elapsed time.
InfiniFlux also compresses and stores data in
real-time. Its query language and syntax complies
with the SQL standard. The extended SQL syntax
provides additional features such as the text search
tool.
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6. What is time-series big data?
Time-series big data is a set of data generated from the infrastructure that
computes sensors during a specified period. The most representative case is the measurement
of a sensor during the manufacturing process or the contents of syslog file in Linux.
Time-Series DBMS

7. How fast is data inserted using InfiniFlux?
36 million-byte records are inserted
within a single session per second using InfiniFlux
with the following environmental conditions: Intel
(R) Core(TM) i7-4790 CPU @ 3.60GHz(4 core), 32G,
TOSHIBA MC04ACA400E (SATAIII) 7200 RPM HDD.
240 million-byte records are inserted
within multiple sessions per second using parallel
disks of InfiniFlux with the same environmental
conditions as above.
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8. How can data be inserted that fast?
Real-time Index Structure
InfiniFlux can configure the index in real-time. Therefore, InfiniFlux can search hundreds of
thousands of data per second. The bitmap index is used to configure the index at a
substantially lower cost.
Two-Phase Data Compression Technology
This minimizes the I/O costs and maximizes the data entry performance.
In the first phase, InfiniFlux compresses data logically to reduce the overlapped portion of
the data through their codification. In the second phase, InfiniFlux compresses data
physically to save them to a disk.
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9. How can data be inserted that fast?
Lock-Free Data Structure
The InfiniFlux lock manager innovatively helps avoid deadlocks between an INSERT
operation, by which data are inserted fast, and a SELECT operation, by which data are
searched. A lock manager allows data to be inserted and searched in parallel. This
significantly improves performance.
Multi-Disk Structure
A disk I/O bottleneck problem can occur during massive data processing. To eliminate this,
multi-disk function is used by adding several disks. This function maximizes the
performance when data are inserted or searched.
Time-Series DBMS

10. What kind of operating system does InfiniFlux support?
InfiniFlux supports Linux
that is required to support the Intel CPU. (CentOS 6.4 or higher, Ubuntu 13.10 or higher).
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11. What kinds of application program interfaces are supported?
InfiniFlux supports CLI, ODBC, JDBC, and RESTful API
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12. Why does not InfiniFlux support the UPDATE statement?
Once inserted, serial log data cannot be modified or deleted. InfiniFlux does not
support the UPDATE statement to provide adequate guarantee against forgery. However,
InfiniFlux supports a function to check forgery. This detects the attempts to forge data files in a
database.
Old unnecessary data are immediately removed using the DELETE statement to
ensure sufficient free space. Conversions between the character sets of massive records are
readily performed by combining the SELECT statement with the INSERT statement.
Time-Series DBMS

13. How much data are saved maximally using InfiniFlux?
Logically 64-bit data can be saved.
In other words, they can be stored to infinity.
However, the actual size of data storage is smaller
than the logical one because of HDD capacity
limitation.
Maximally 10 trillion records
can be saved on a 2TByte HDD. They are about 500-
byte records respectively, which are composed of 20
columns. A column has 20 indexes.
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14. What are the differences with traditional DBMS?
Traditional DBMSusually does not provide real-time analysis of new data. For
more information, please refer to Section 3: Comparison between InfiniFlux and Other DBMS.
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15. What are parallel disk tablespaces?
A tablespace is composed of several disks for multi-disk function. They maximize the
performance when data are inserted. Data are saved individually on a disk of tablespace. This
helps improve I/O performance.
Once continuously inserted, massive data are saved in
memory first, and then are written to disk in the background. Disk I/O tasks are time-consuming
compared to memory operations. Therefore, the memory is used to temporarily hold data.
If INSERT operationsoccur frequently in the system without disk I/O, it is
possible to run of memory. In this situation, it is necessary to use parallel disk tablespaces.
Time-Series DBMS

16. Does InfiniFlux support the ability to perform full text search?
InfiniFlux uses a keyword as an extended SQL statement, called "SEARCH", to find a
word in real time. For example, when the select * from t1 where name SEARCH 'brown' is
executed, all records which contain 'brown' in the varchar type columns specified for names are
printed.
When input data are encoded to UTF-8, a word in English, Japanese, Chinese,
and Korean can be found when performing full text searches.
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17. Does InfiniFlux perform a backup operation?
To perform a backup operation, InfiniFlux saves the database
changes during the specified period in a file format. The backup files can be restored using a
command. Time-series data are generated and saved continuously. Therefore, to ensure
sufficient free space, back up old data and delete unnecessary data periodically.
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18. Therefore, the existing structure of a database is not influenced by the mount
command. Data are recovered logically very quickly using the MOUNT command and mapped
data can be immediately deleted using the UNMOUNT command.
What is the mount command for a backup operation?
Datacan be innovatively recovered using the mount command, which is supported only by
InfiniFlux. InfiniFlux also includes powerful support for logically mapping data, which were
backed up during the specified period, to a database when the mount command is issued.
However, all the existing data must be deleted when restore is performed.
Time-Series DBMS