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

er mit IS NULL verknüpft ist. Der Datentyp SQL_NULL löst dieses Problem. Immer wenn die Engine in einer Abfrage auf ein Prädikat “? IS NULL” stößt, weist sie dem Parameter den Typ SQL_NULL zu, was anzeigt Zahlen sein, wie zum Beispiel '30.12.2016 15:30:35', die zu einem Datum und/oder einer Zeit aufgelöst werden können. Kontextvariablen Ein intern definierte Kontextvariable Lokale Variablen Deklarierte ebenfalls als wahr aufgelöst wird 2 OR Kombiniert zwei oder mehr Prädikate, wobei mindestens eines als wahr angesehen werden muss, damit der Gesamtausdruck ebenfalls als wahr aufgelöst wird 3 Beispiel

for(Student st : student ){ System.out.println(st.getId()); System.out.println(st.getName()); System.out.println(st.getBranch()); System.out.println(st.getPercentage()); getPercentage()); System.out.println(st.getEmail()); System.out.println(st.getPhone()); } System.out.println("Records Read Successfully "); List student = session.selectList("getRecByName_Id",stud); for(Student st : student ){ System.out.println("++++++++++++++details of the student named

HA R( 25 5) Y e s Collection of sharding item, multiple sharding items are separated by commas. st ate V AR CH AR (2 0) Y e s State of job execution, the value options are TASK_STAGING, TASK_RUNNING ault V alue Description jobName St ri ng Job name shar dingTotalCount i nt Sharding total count cron St ri ng CRON expression, control the job trigger time timeZone St ri ng time zone of CRON sharding sharding ItemParame‐ ters St ri ng Sharding item param‐ eters jobParameter St ri ng Job parameter mo nitorExecution b oo le an true Monitor job execution status failover b oo le an f alse Enable or

(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

List student = session.selectList("getRecByName_Id",stud); for(Student st : student ){ System.out.println("++++++++++++++details of the student named println("Id : "+st.getId()); System.out.println("Name : "+st.getName()); System.out.println("Branch : "+st.getBranch()); System.out.println("Percentage : "+st.getPercentage()); getPercentage()); System.out.println("Email : "+st.getEmail()); System.out.println("Phone : "+st.getPhone()); } System.out.println("Records

au lt Va lu e t y p e String Type of mode configu‐ rationValues could be: Standalone or Cluster St an da lo ne r e p o s i t o r y Pe rsistRe positor yConfig uration Persist repository configurationStan‐ createDataSources() { Map dataSourceMap = new HashMap<>(); // Configure the 1st data source HikariDataSource dataSource1 = new HikariDataSource(); dataSource1.setDriverClassName("com jdbc_ state‐ ment_execu te_errors_total G AU GE Total number of statement execution errors jdbc_st ate‐ ment_execute _la‐ tency_millis H IS TO GR AM Statement execution latency jdbc_tra nsac‐

au lt Va lu e t y p e String Type of mode configu‐ rationValues could be: Standalone or Cluster St an da lo ne r e p o s i t o r y Pe rsistRe positor yConfig uration Persist repository configurationStan‐ createDataSources() { Map dataSourceMap = new HashMap<>(); // Configure the 1st data source HikariDataSource dataSource1 = new HikariDataSource(); dataSource1.setDriverClassName("com jdbc_ state‐ ment_execu te_errors_total G AU GE Total number of statement execution errors jdbc_st ate‐ ment_execute _la‐ tency_millis H IS TO GR AM Statement execution latency jdbc_tra nsac‐

The CHECK constraint ensures that all values in a column satisfy certain conditions. NOT NULL Co�st�ai�t By default, a column can hold NULL values. If you do not want a column to have a NULL value INT NOT NULL, ADDRESS CHAR(50), SALARY REAL ); DEFAULT Co�st�ai�t The DEFAULT constraint provides a default value to a column when the INSERT INTO statement does NOT NULL, ADDRESS CHAR(50), SALARY REAL DEFAULT 50000.00 ); UNIQUE Co�st�ai�t The UNIQUE Constraint prevents two records from having identical values in a particular column

func (st *SrvKeyspaceCacheStatus) StatusAsHTML() template.HTML { if st.Value == nil { return template.HTML("No Data") } result := "Partitions:
" for _, keyspacePartition := range st.Value result += " " + shard.Name } result += "
" } if len(st.Value.ServedFrom) > 0 { result += "ServedFrom:
" for _, sf := range st.Value.ServedFrom { result += " " + sf.TabletType