ubuntu 18.04 apt install postgresql和编译安装 PG-Strom

ubuntu自带apt是10的版本，要想编译还需要下面这些

apt-get install libicu-dev postgresql-server-dev-all postgresql-common libpq-dev

然后自己安装CUDA支持，其实apt都能干了 apt的驱动是390的，cuda是9。1 够了

然后
git clone https://github.com/heterodb/pg-strom.git
cd pg-strom
$ make PG_CONFIG=/usr/bin/pg_config
$ sudo make install PG_CONFIG=/usr/bin/pg_config

再然后

http://heterodb.github.io/pg-strom/install/

Setup postgresql.conf

Next, edit postgresql.conf which is a configuration file of PostgreSQL. The parameters below should be edited at least to work PG-Strom. Investigate other parameters according to usage of the system and expected workloads.

    shared_preload_libraries
        PG-Strom module must be loaded on startup of the postmaster process by the shared_preload_libraries. Unable to load it on demand. Therefore, you must add the configuration below.
        shared_preload_libraries = '$libdir/pg_strom'
    max_worker_processes
        PG-Strom internally uses several background workers, so the default configuration (= 8) is too small for other usage. So, we recommand to expand the variable for a certain margin.
        max_worker_processes = 100
    shared_buffers
        Although it depends on the workloads, the initial configuration of shared_buffers is too small for the data size where PG-Strom tries to work, thus storage workloads restricts the entire performance, and may be unable to work GPU efficiently.
        So, we recommend to expand the variable for a certain margin.
        shared_buffers = 10GB
        Please consider to apply SSD-to-GPU Direct SQL Execution to process larger than system's physical RAM size.
    work_mem
        Although it depends on the workloads, the initial configuration of work_mem is too small to choose the optimal query execution plan on analytic queries.
        An typical example is, disk-based merge sort may be chosen instead of the in-memory quick-sorting.
        So, we recommend to expand the variable for a certain margin.
        work_mem = 1GB

据说要启动还需要这个。。。

This happened because pg_ctlcluster in (Ubuntu 18.04 or 16.04) does not read environment varibel in user profiles and pg_ctlcluster's environment file is empty.
As stated in /etc/init.d/postgresql, you must set PATH environment in /etc/postgresql/<version>/<cluster>/environment.
For example, if you use postgresql 9.6 with default installation, then it will be /etc/postgresql/9.6/main/environment. Add this to the file:
PATH = '/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin'
Or you can set it in /etc/postgresql-common/environment for all clusters.

还据说使用centos7的话可以顺滑搞定。。。。

这个渣渣的GPU0 GeForce GTX 750 Ti 。。。。。。看来一个P106-90或者-100是必须滴了

GPU Device
PG-Strom requires at least one GPU device on the system, which is supported by CUDA Toolkit, has computing capability 6.0 (Pascal generation) or later;
note001:GPU Availability Matrix shows more detailed information. Check this list for the support status of SSD-to-GPU Direct SQL Execution.

2019-01-28 17:37:53.802 CST [8529] LOG:  PG-Strom built for PostgreSQL 10
2019-01-28 17:37:53.834 CST [8529] LOG:  PG-Strom: GPU0 GeForce GTX 750 Ti - CC 5.0 is not supported
2019-01-28 17:37:53.834 CST [8529] FATAL:  PG-Strom: no supported GPU devices found

ubuntu 18.04 apt install postgresql和编译安装 PG-Strom

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