11 Tom $20 Jan 1st no 22 Dick $0 Jan 1st no 33 Harry $99 Jan 3rd no id name balance timestamp change 11 Tom $20 Jan 1st insert 22 Dick $0 Jan 1st insert 33 Harry $99 Jan 1st insert time key plain Jan 1st no 22 Dick $200 Jan 2nd no 33 Harry $99 Jan 1st no id name balance timestamp change 11 Tom $20 Jan 1st insert 22 Dick $0 Jan 1st insert 22 Dick $200 Jan 2nd update 33 Harry $99 Jan 1st insert timestamp deleted? 11 Tom $20 Jan 1st no 22 Dick $200 Jan 2nd no 33 Harry $99 Jan 3rd yes id name balance timestamp change 11 Tom $20 Jan 1st insert 22 Dick $0 Jan 1st insert 22 Dick $200 Jan 2nd update

(extract(epoch from tran_date) - extract(epoch from now()))/3600 < $4 and st_distance_sphere(st_makepoint($5, $6),st_makepoint(c.lng, c.lat))/1000.0 <= 2.0 and b.locid=c.locid and a.id=d.id loop (extract(epoch from tran_date) - extract(epoch from now()))/3600 < $4 and st_distance_sphere(st_makepoint($5, $6),st_makepoint(c.lng, c.lat))/1000.0 <= 2.0 and b.locid=c.locid and a.id=d.id loop select get_people('Pavan','Peter',200,24,103.912680, 1.309432) ; Greenplum POSTGIS 函数 st_distance_sphere() and st_makepoint() 计算给定经纬 度方圆2KM的范围 GPText.search() 函数可 以知道是否一个人在 Pivotal工作 Greenplum MADlib

加 载 时 间 文 件 大 小 记录条数 SDFISM ST 活期存款账户信息表 38分 1.29G 1156932 4 46秒 1.39G 11621418 50x SDFISM SC 活期存款分币种信息表 13分 1.3G 9587064 32秒 1.4G 9637329 24x CDFISM ST 支票帐户档案表 40分 1.74G 5147249 46秒 1.88

library is updated to version 3.10.2; PostGIS now includes support for the ST_Subdivide, ST_ClipByBox2D, ST_VoronoiLines, and ST_VoronoiPolygons functions. Resolved Issues Server 32247, 13532 Prevents ideal for GP2 disks because of the size and higher random I/O needs. Throughput Optimized Disks (ST1) are a disk type designed for high throughput needs such as Greenplum. These disks are based on HDD correctly and the remote servers are ordered properly: $ ntpq -pn remote refid st t when poll reach delay offset jitt er ======================================================

library is updated to version 3.10.2; PostGIS now includes support for the ST_Subdivide, ST_ClipByBox2D, ST_VoronoiLines, and ST_VoronoiPolygons functions. Resolved Issues Server 32247, 13532 Prevents ideal for GP2 disks because of the size and higher random I/O needs. Throughput Optimized Disks (ST1) are a disk type designed for high throughput needs such as Greenplum. These disks are based on HDD correctly and the remote servers are ordered properly: $ ntpq -pn remote refid st t when poll reach delay offset jitt er ======================================================

ideal for GP2 disks because of the size and higher random I/O needs. Throughput Optimized Disks (ST1) are a disk type designed for high throughput needs such as Greenplum. These disks are based on HDD bytes for each block in the table 8 1 9 2 – 2 0 9 7 1 5 2 T h e v al u e m u st b e a m ul ti pl e of 8 1 9 2. The following is the format for adding storage parameters different: SELECT ts_rank_cd (to_tsvector('english', 'in the list of stop words'), to_tsquery('li st & stop')); ts_rank_cd ------------ 0.05 SELECT ts_rank_cd (to_tsvector('english', 'list

library is updated to version 3.10.2; PostGIS now includes support for the ST_Subdivide, ST_ClipByBox2D, ST_VoronoiLines, and ST_VoronoiPolygons functions. Resolved Issues Server 32247, 13532 : Prevents ideal for GP2 disks because of the size and higher random I/O needs. Throughput Optimized Disks (ST1) are a disk type designed for high throughput needs such as Greenplum. These disks are based on HDD correctly and the remote servers are ordered properly: $ ntpq -pn remote refid st t when poll reach delay offset jitt er ====================================================

ideal for GP2 disks because of the size and higher random I/O needs. Throughput Optimized Disks (ST1) are a disk type designed for high throughput needs such as Greenplum. These disks are based on HDD PostGIS Raster objects, PostGIS geometry data type offers a single set of overlay SQL functions (such as ST_Intersects) operating seamlessly on vector and raster geospatial data. PostGIS Raster uses the GDAL Raster Drivers PostGIS uses GDAL raster drivers when processing raster data with commands such as ST_AsJPEG(). As the default, PostGIS disables all raster drivers. You enable raster drivers by setting

ideal for GP2 disks because of the size and higher random I/O needs. Throughput Optimized Disks (ST1) are a disk type designed for high throughput needs such as Greenplum. These disks are based on HDD PostGIS Raster objects, PostGIS geometry data type offers a single set of overlay SQL functions (such as ST_Intersects) operating seamlessly on vector and raster geospatial data. PostGIS Raster uses the GDAL Raster Drivers PostGIS uses GDAL raster drivers when processing raster data with commands such as ST_AsJPEG(). As the default, PostGIS disables all raster drivers. You enable raster drivers by setting

ideal for GP2 disks because of the size and higher random I/O needs. Throughput Optimized Disks (ST1) are a disk type designed for high throughput needs such as Greenplum. These disks are based on HDD PostGIS Raster objects, PostGIS geometry data type offers a single set of overlay SQL functions (such as ST_Intersects) operating seamlessly on vector and raster geospatial data. PostGIS Raster uses the GDAL Raster Drivers PostGIS uses GDAL raster drivers when processing raster data with commands such as ST_AsJPEG(). As the default, PostGIS disables all raster drivers. You enable raster drivers by setting