except Exception, e: print 'drop table failed' pgdb_logger.error("drop table failed, ret = %s" % e.args[0]) pgdb_conn.close() return pgdb_logger.info("drop table table failed, ret = %s" % e.args[0]) pgdb_conn.close() return pgdb_logger.info pgdb_logger.info("insert record into table(tbl_product3) succ.") pgdb_logger.info("%s", row) #关闭数据库连接 pgdb_conn.close() pgdb_logger.debug
. ~/.bashrc fi # User specific environment and startup programs export PGHOME=/home/ha/pgdb/ export PGDATA=/home/ha/pgdb/data/ export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:$PGHOME/lib/ export PATH=$PGHOME/ create user rep replication encrypted password 'rep'; 2.使用pg_basebackup进行从库备份 [ha@localhost pgdb drwxrwxr-x. 4 ha ha 4096 Dec 26 00:54 lib drwxrwxr-x. 4 ha ha 4096 Dec 26 00:54 share [ha@localhost pgdb /pg.trigger.file' 4.备库启动前,主库进程 [ha@localhost pgdb]$ ps -ef | grep post root 2124 1
sonarqube/extensions chmod 777 /data/sonarqube -R 第一种:数据库使用postgres 1.postgres安装 docker run -d --name pgdb :/var/lib/postgresql/data -d postgres 2.sonar连接postgres容器 docker run -itd --name sonarqube --link pgdb \ -p 9000:9000 \ -e SONARQUBE_JDBC_URL="jdbc:postgresql://pgdb:5432/sonar" \ -e SONARQUBE_JDBC_USERNAME ) 二.docker-compose搭建 具体详细看: 运维篇 docker知识回顾 9.4节“Docker-compose编写”和9.5有详细说明 version: '2' services: pgdb links: - pgdb:db environment: SONARQUBE_JDBC_URL: jdbc:postgresql://db:5432/sonar
backend_hostname0 = 'node1' backend_port0 = 5432 backend_weight0 = 1 backend_data_directory0 = '/home/ha/pgdb backend_hostname1 = 'node2' backend_port1 = 5432 backend_weight1 = 1 backend_data_directory1 = '/home/ha/pgdb new_master=$1 trigger_command="/home/ha/pgdb/bin/pg_ctl -D /home/ha/pgdb/data promote -m fast" # Do Review by Heikki Linnakangas h.测试 pgpool节点 [ha@node0 pgdb]$ pgpool -n -d > /tmp/pgpool.log 2>&1 & [1] 22928 [ha@node0 pgdb]$ psql -h 192.168.238.129 -p 9999 -d postgres -U ha
mysql的库名MYSQLDB_NAME=sqlrest# mysql的账号MYSQLDB_USERNAME=dts# mysql的密码MYSQLDB_PASSWORD=dts# pgsql的host地址PGDB_HOST =192.168.31.57# pgsql的端口号PGDB_PORT=5432# pgsql的库名PGDB_NAME=sqlrest# pgsql的账号PGDB_USERNAME=postgres# pgsql 的密码PGDB_PASSWORD=123456启动启动manager服务:sh bin/sqlrestctl.sh start manager启动executor服务:sh bin/sqlrestctl.sh
postgres_fdw (哪个database上使用,就在哪个database上安装) create extension postgres_fdw; 3、创建fdw服务器 CREATE SERVER pgdb dbname 'testdb'); Host:远程主机名、ip地址 Port:远程数据库监听端口 Dbname:远程服务器名字 4、授权 GRANT USAGE ON FOREIGN SERVER pgdb TO pg_fdw1; 5、创建用户映射(本地用户与远程用户映射) CREATE USER MAPPING FOR pg_fdw1 SERVER pgdb OPTIONS (user 'scott password 'tiger'); user:远程数据库用户 password:用户密码 6、创建FDW表(以pg_fdw1用户创建) GRANT USAGE ON FOREIGN SERVER pgdb TABLE dept_fdw ( deptno integer, dname character varying(14), loc character varying(13) )SERVER pgdb
安装postgresql 添加postgresql源: sudo touch /etc/apt/sources.list.d/pgdb.list sudo vim /etc/apt/sources.list.d /pgdb.list 把下面这行数据添加到pgdb.list文件中: deb https://apt.postgresql.org/pub/repos/apt/ trusty-pgdg main 执行下面的命令添加
/configure --prefix=/home/postgres/pgdb9.6 --with-openssl make; make install cd contrib make; make install cd; cd pgdb9.6 cd bin .
ENSEMBL-based proteogenomics databases boosts the identification of non-canonical peptides 论文摘要: pypgatk 包和 pgdb pypgatk 和 pgdb 为数据库处理提供了多种功能,包括通过 DecoyPyrat 算法优化目标/诱饵生成。 最后,作者通过使用 pypgatk 和 pgdb 工作流程为 65 个细胞系生成细胞类型特定数据库,重新分析了 PRIDE 中的六个公共数据集,揭示了大量非规范或隐秘的肽,占已鉴定肽总数的 5% 以上。
代码如下: object ConnDatabase { def newInstance(pghost: String, pgdb: String, pguser: String, pgpass: String ) } } trait ConnDatabase { protected var db: Database = null def connectDb(pghost: String, pgdb : String, pguser: String, pgpass: String) { db = ConnDatabase.newInstance(pghost, pgdb, pguser, pgpass = PatienceConfig(timeout = Span(5, Seconds)) val pguser = "******" val pgpass = "******" val pgdb = "test" val pghost = "127.0.0.1:5432" connectDb(pghost, pgdb, pguser, pgpass) val CityTable =
连接数据库 import pgdb conn = pgdb.connect(host='localhost',databse='qingfeng',user='qingfeng
# 拉取镜像docker pull postgres# 启动容器docker run --name pgdb -e POSTGRES_USER=sonar -e POSTGRES_PASSWORD=sonar network create sonar# 在启动命令中添加参数--network sonar# 修改SonarQube 的数据库连接参数SONARQUBE_JDBC_URL=jdbc:postgresql://pgdb
pg1:远程oracle主机名 1521:远程oracle数据库监听端口 PROD1:远程oracle service名字 6、授权 GRANT USAGE ON FOREIGN SERVER pgdb ALTER SERVER pgdb OPTIONS (use_remote_estimate 'on'); \des+ localdb=# EXPLAIN SELECT * FROM tbl_a AS
bw1knjWnUA" DB_USER=sentry docker-compose安装sentry 将以下内容填充到docker-compose.yml中 version: '2' volumes: pgdb POSTGRES_USER: $$DB_USER POSTGRES_PASSWORD: $$DB_PASSWORD POSTGRES_DB: sentry volumes: - pgdb
/bin/bash # 配置环境变量 pgport=5432 pguser=keepalived pgdb=keepalived pgpwd='123qwert' LANG=en_US.utf8 exit 0 fi export PGPASSWORD=$pgpwd #主库更新sr_delay 表 echo $SQL1 | psql -At -p $pgport -U $pguser -d $pgdb >> $MONITOR_LOG #判断主库是否可用 echo $SQL2 | psql -At -p $pgport -U $pguser -d $pgdb if [ $?
PGDB:postgre数据库,默认是reviewboard。 PGPASSWORD:postgre密码,默认是reviewboard。
For instance, if you are using pgdb as your DB-API 2 database module and want a pool of at least five connections to your local database 'mydb': import pgdb # import used DB-API 2 module from DBUtils.PooledDB import PooledDB pool = PooledDB(pgdb, 5, database='mydb') Once you have set up
metadata: -name:redisHost value: "localhost:6379" 如果未安装 PostgreSQL 数据库,请安装: docker run -d --name pgdb
workspaceName; //Open a reference to the access workspace through the name object IWorkspace pGDB_workspace =(IWorkspace)name.Open(); Console.WriteLine("Current path of the{0} is {1}",pGDB_workspace.Type ,pGDB_workspace.PathName); } public void IWorkspaceFactory_Create_Example_FileGDB() { //create
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