#Licensed Materials - Property of IBM # #OCO Source Materials # #BI and PM: rdbmscert # #(C) Copyright IBM Corp. 2009,2019 # #US Government Users Restricted Rights - Use, duplication or disclosure restricted by GSA ADP Schedule Contract with IBM corp. #This properties file contains default configuration attributes for all # #relational data sources. Any data source that is different must override # #the value in their own properties file. # # # Delimiters # delimiters.commentBegin=/* delimiters.commentEnd=*/ # delimiters.catalogDelimiter= # delimiters.schemaDelimiter= # delimiters.tableDelimiter= # delimiters.columnDelimiter= # delimiters.identifierQuoteString= # delimiters.searchStringEscape= # delimiters.catalogSeparator= # # Keywords # keywords.columnAlias=AS # # Limits # # Normally these values would be derived from the JDBC driver DatabaseMetadata # limits.maxBinaryLiteralLength= # limits.maxCharLiteralLength= # limits.maxColumnNameLength= # limits.maxColumnsInGroupBy= # limits.maxColumnsInIndex= # limits.maxColumnsInOrderBy= # limits.maxColumnsInSelect= # limits.maxColumnsInTable= # limits.maxConnections= # limits.maxCursorNameLength= # limits.maxIndexLength= # limits.maxSchemaNameLength= # limits.maxProcedureNameLength= # limits.maxCatalogNameLength= # limits.maxRowSize= # limits.maxStatementLength= limits.maxStatements=1 # limits.maxTableNameLength= # limits.maxTablesInSelect= # limits.maxUserNameLength= # limits.defaultTransactionIsolation= # limits.maxLengthInClause # # General # # # Null ordering # general.nullsAreSortedHigh=false general.nullsAreSortedLow=true general.nullsAreSortedAtStart=false general.nullsAreSortedAtEnd=false general.nullsOrdering=true general.nullsOrderingInWindowSpecification=false # supports.hints=false supports.constantsInWindows=false # Cursor options - appended to end of generated SELECT statement. general.cursorOptions= # # Various # supports.duplicateColumnsInSelectList=true supports.columnAliasing=true supports.tableCorrelationNames=true supports.expressionsInSelectList=true supports.expressionsInINPredicate=true supports.expressionsInOrderBy=true supports.booleanExpressionsInSelectList=true supports.fieldsOfComplexTypeInSelectList=false supports.likeEscapeClause=true supports.outerJoins=true supports.fullOuterJoins=true supports.subqueriesInComparisons=true supports.subqueriesInExists=true supports.subqueriesInIns=false supports.subqueriesInQuantifieds=true supports.subqueriesInOnClause=true supports.subqueriesInCase=false supports.correlatedSubqueries=true supports.correlatedSubqueriesInSelectList=true supports.correlatedSubqueriesInIns=true supports.scalarSubqueries=true supports.withClauseInDerivedTable=false supports.nestedWithClause=fals supports.integerDivision=false supports.nestedOlap=false supports.derivedColumnLists=true supports.orderByAlias=true supports.orderByName=true supports.orderByOrdinal=true supports.blobsInGroupBy=false supports.blobsInOrderBy=false supports.emptyStringIsNull=false supports.expressionsInGroupBy=true supports.expressionsInOrderBy=true supports.aliasInOrderByExpression=true supports.orderByUnrelated=true supports.groupByUnrelated=false supports.thetaJoins=true supports.equiJoins=true supports.crossProducts=true supports.multipleDistinctAggregates=true supports.recursiveWithClause=false supports.constantsInCount=true supports.orderByInDerivedTable=true supports.callProcedureInDerivedTable=false #join condition supports.join.betweenInOnClause=true supports.join.inPredicateInOnClause=true supports.join.isNullInOnClause=true supports.join.likeInOnClause=true supports.join.notInOnClause=true supports.join.orInOnClause=true supports.join.subqueriesInOnClause=true supports.join.onlyEquiWithAnd=false supports.join.inner.limitedThetaJoins=false supports.join.outer.thetaJoins=true supports.join.full.thetaJoins=true supports.join.full.distinctJoins=false #casting with formatting pattern support supports.formatters.string_to_date=false supports.formatters.string_to_time=false supports.formatters.string_to_time_with_time_zone=false supports.formatters.string_to_timestamp=false supports.formatters.string_to_timestamp_with_time_zone=false # # Grouping query optimization # # If the RDBMS has costing/execution issues with group by or distinct consider these transforms performance.convertGroupByToDistinct=false performance.convertDistinctToGroupBy=false # V5 master-detail optimization when allRows optimization is specified v5.master-detail.transform=false performance.convertHavingToWhere=false performance.transitiveClosure=false performance.predicatePushdown=false performance.semiJoin=false # RTC 377496 # Set this entry to F to avoid generation of predicates of the form # T1.C1 = T2.C1 OR ( T1.C1 IS NULL AND T2.C1 IS NULL ). Care must be # taken, however, since doing so may cause data integrity problems if # data contains null values. performance.generateEqualOrNull=true # # Commands # commands.Select=SELECT commands.Call= # # Tables # tables.joined=true tables.derived=true tables.lateral.derived=false # # Constructors # constructors.table=true constructors.row=false constructors.array=true constructors.period=false constructors.map=false # # Constructors - context overrides. # constructors.row.between=false constructors.row.comparison=false constructors.row.in=false constructors.row.isDistinctFrom=false constructors.row.simpleCase=false constructors.row.inListToTable=false # # Clauses # clauses.From=FROM clauses.Where=WHERE clauses.GroupBy=GROUP BY clauses.Having=HAVING clauses.WithRecursive= clauses.With=WITH clauses.OrderBy=ORDER BY clauses.Distinct=DISTINCT clauses.Top= clauses.At= clauses.Window= clauses.TableSampleBeforeAlias=false clauses.TableSampleSystem= clauses.TableSampleBernoulli= clauses.ForSystemTimeAsOf= clauses.ForSystemTimeFrom= clauses.ForSystemTimeBetween= # # Joins # joins.Cross=%1$s CROSS JOIN %2$s joins.Inner=%1$s INNER JOIN %2$s ON %3$s joins.LeftOuter=%1$s LEFT OUTER JOIN %2$s ON %3$s joins.RightOuter=%1$s RIGHT OUTER JOIN %2$s ON %3$s joins.FullOuter=%1$s FULL OUTER JOIN %2$s ON %3$s joins.RightNested=%1$s # # Set Operators # operators.set.Union=%1$s UNION %2$s operators.set.Union.all=%1$s UNION ALL %2$s operators.set.Intersect=%1$s INTERSECT %2$s operators.set.Intersect.all=%1$s INTERSECT ALL %2$s operators.set.Except=%1$s EXCEPT %2$s operators.set.Except.all=%1$s EXCEPT ALL %2$s # # Logical Operators # operators.logical.And=%1$s AND %2$s operators.logical.Or=%1$s OR %2$s operators.logical.Not=NOT ( %1$s ) operators.logical.Is=%1$s IS %2$s operators.logical.IsNot=%1$s IS NOT %2$s operators.logical.IsJson= operators.logical.IsNotJson= # # Arithmetic and Character operators # operators.arithmetic.Add[any,any]=%1$s + %2$s operators.arithmetic.Add[datetime,any]= operators.arithmetic.Add[any,datetime]= operators.arithmetic.Subtract[any,any]=%1$s - %2$s operators.arithmetic.Subtract[datetime,any]= operators.arithmetic.Subtract[any,datetime]= operators.arithmetic.Multiply[any,any]=%1$s * %2$s operators.arithmetic.Divide[any,any]=%1$s / %2$s operators.arithmetic.UnaryPlus[any]=+%1$s operators.arithmetic.Negate[any]=-%1$s operators.arithmetic.Concat[any,any]=%1$s || %2$s # # Grouping Operators # operators.groupBy.Rollup= operators.groupBy.Cube= operators.groupBy.GroupingSets= # # Comparison Predicates # predicates.comparison.Equals[any,any]=%1$s = %2$s predicates.comparison.GreaterThan[any,any]=%1$s > %2$s predicates.comparison.GreaterThanOrEquals[any,any]=%1$s >= %2$s predicates.comparison.LessThan[any,any]=%1$s < %2$s predicates.comparison.LessThanOrEquals[any,any]=%1$s <= %2$s predicates.comparison.NotEquals[any,any]=%1$s <> %2$s # # Predicates # predicates.Between[any,any,any]=%1$s BETWEEN %2$s AND %3$s predicates.In[any,any]=%1$s IN ( %2$s ) predicates.Overlaps[any,any,any,any]=(%1$s, %2$s) OVERLAPS (%3$s, %4$s) predicates.IsNull=%1$s IS NULL predicates.IsNotNull=%1$s IS NOT NULL predicates.Like=%1$s LIKE %2$s predicates.Like.escape=%1$s LIKE %2$s ESCAPE %3$s predicates.LikeRegex= predicates.LikeRegex.flag= predicates.Similar= predicates.Similar.escape= predicates.Exists=EXISTS %1$s predicates.All=ALL %1$s predicates.Any=ANY %1$s predicates.Some=SOME %1$s predicates.IsDistinctFrom[any,any]=%1$s IS DISTINCT FROM %2$s predicates.IsNotDistinctFrom[any,any]=%1$s IS NOT DISTINCT FROM %2$s # # Period predicates. # predicates.PeriodOverlaps[any,any]= predicates.PeriodEquals[any,any]= predicates.PeriodContains[any,any]= predicates.PeriodPrecedes[any,any]= predicates.PeriodSucceeds[any,any]= predicates.PeriodImmediatelyPrecedes[any,any]= predicates.PeriodImmediatelySucceeds[any,any]= # # Expressions # expressions.ArrayElementRef.zeroBased=false # # Conditional expressions # expressions.SearchedCase=CASE expressions.SimpleCase=CASE expressions.Coalesce=COALESCE(%1$s) expressions.NullIf=NULLIF(%1$s, %2$s) # Minimum number of arguments for Coalesce function. expressions.Coalesce.minArgs=2 # # Cast # # Cannot cast from null value to NVarchar # Cannot cast from null value to Blob # Cannot cast from null value to Clob expressions.Cast[any,any]=CAST(%1$s AS %2$s) expressions.Cast[any,any]= expressions.Cast[smallint,nvarchar]= expressions.Cast[smallint,clob]= expressions.Cast[integer,nvarchar]= expressions.Cast[integer,clob]= expressions.Cast[long,nvarchar]= expressions.Cast[long,clob]= expressions.Cast[decimal,char]= expressions.Cast[decimal,varchar]= expressions.Cast[decimal,nvarchar]= expressions.Cast[decimal,clob]= expressions.Cast[float,smallint]= expressions.Cast[float,integer]= expressions.Cast[float,long]= expressions.Cast[float,decimal]= expressions.Cast[float,float]= expressions.Cast[float,double]= expressions.Cast[float,char]= expressions.Cast[float,varchar]= expressions.Cast[float,nvarchar]= expressions.Cast[float,clob]= expressions.Cast[double,char]= expressions.Cast[double,varchar]= expressions.Cast[double,nvarchar]= expressions.Cast[double,clob]= expressions.Cast[char,smallint]= expressions.Cast[char,long]= expressions.Cast[char,varchar]= expressions.Cast[char,nvarchar]= expressions.Cast[char,clob]= expressions.Cast[varchar,nvarchar]= expressions.Cast[varchar,clob]= expressions.Cast[nvarchar,smallint]= expressions.Cast[nvarchar,integer]= expressions.Cast[nvarchar,long]= expressions.Cast[nvarchar,decimal]= expressions.Cast[nvarchar,float]= expressions.Cast[nvarchar,double]= expressions.Cast[nvarchar,char]= expressions.Cast[nvarchar,varchar]= expressions.Cast[nvarchar,nvarchar]= expressions.Cast[nvarchar,clob]= expressions.Cast[nvarchar,date]= expressions.Cast[nvarchar,time]= expressions.Cast[nvarchar,timestamp]= expressions.Cast[blob,blob]= expressions.Cast[blob,clob]= expressions.Cast[clob,smallint]= expressions.Cast[clob,integer]= expressions.Cast[clob,long]= expressions.Cast[clob,decimal]= expressions.Cast[clob,float]= expressions.Cast[clob,double]= expressions.Cast[clob,char]= expressions.Cast[clob,varchar]= expressions.Cast[clob,nvarchar]= expressions.Cast[clob,blob]= expressions.Cast[clob,clob]= expressions.Cast[clob,date]= expressions.Cast[clob,time]= expressions.Cast[clob,timestamp]= expressions.Cast[date,nvarchar]= expressions.Cast[date,clob]= expressions.Cast[time,char]= expressions.Cast[time,varchar]= expressions.Cast[time,nvarchar]= expressions.Cast[time,clob]= expressions.Cast[time,time]= expressions.Cast[time,timestamp]= expressions.Cast[timestamp,char]= expressions.Cast[timestamp,varchar]= expressions.Cast[timestamp,nvarchar]= expressions.Cast[timestamp,clob]= expressions.Cast[timestamp,time]= # # Extract # expressions.Extract.YEAR[any]=EXTRACT(YEAR FROM %1$s) expressions.Extract.MONTH[any]=EXTRACT(MONTH FROM %1$s) expressions.Extract.DAY[any]=EXTRACT(DAY FROM %1$s) expressions.Extract.HOUR[any]=EXTRACT(HOUR FROM %1$s) expressions.Extract.MINUTE[any]=EXTRACT(MINUTE FROM %1$s) expressions.Extract.SECOND[any]=EXTRACT(SECOND FROM %1$s) expressions.Extract.TIMEZONE_HOUR[any]=EXTRACT(TIMEZONE_HOUR FROM %1$s) expressions.Extract.TIMEZONE_MINUTE[any]=EXTRACT(TIMEZONE_MINUTE FROM %1$s) expressions.Extract.EPOCH[any]= # # Trim # expressions.Trim.BOTH[any]=TRIM(BOTH FROM %1$s) expressions.Trim.LEADING[any]=TRIM(LEADING FROM %1$s) expressions.Trim.LEADING[any,any]=TRIM(LEADING %1$s FROM %2$s) expressions.Trim.TRAILING[any]=TRIM(TRAILING FROM %1$s) expressions.Trim.TRAILING[any,any]=TRIM(TRAILING %1$s FROM %2$s) # # Windowed aggregates (SQL/OLAP). # olap.Max[any]= olap.Min[any]= olap.Sum[any]= olap.Avg[any]= olap.Count[any]= olap.CountStar[]= olap.StdDevPop[any]= olap.StdDevSamp[any]= olap.VarPop[any]= olap.VarSamp[any]= olap.Rank[]= olap.DenseRank[]= olap.CumeDist[]= olap.PercentileCont[any,any]= olap.PercentileDisc[any,any]= olap.PercentRank[]= olap.RatioToReport[any]= olap.Median[any]= olap.RowNumber[]= olap.Difference[any]= olap.FirstValue[any]= olap.LastValue[any]= olap.NTile[any]= olap.Tertile[]= olap.Lag[any]= olap.Lag[any,any]= olap.Lag[any,any,any]= olap.Lag[any,any,any,any]= olap.Lead[any]= olap.Lead[any,any]= olap.Lead[any,any,any]= olap.Lead[any,any,any,any]= olap.NthValue[any,any]= olap.NthValue[any,any,any]= olap.NthValue[any,any,any,any]= olap.Collect[any]= # # Window clause # olap.Window= olap.PartitionBy= olap.OrderBy= # # Window specification # olap.Window.Specification[POF]=false olap.Window.Specification[PF]=false olap.Window.Specification[OF]=false olap.Window.Specification[PO]=false olap.Window.Specification[P]=false olap.Window.Specification[O]=false olap.Window.Specification[F]=false olap.Window.Specification[]=false olap.Window.Frame.Moving=false # # Olap Distinct # olap.Min.distinct[any]= olap.Max.distinct[any]= olap.Sum.distinct[any]= olap.Avg.distinct[any]= olap.Count.distinct[any]= # # Aggregates # aggregates.Min[any]=MIN(%1$s) aggregates.Min[any]=MIN(%1$s) aggregates.Count[time]= aggregates.Count[any]=COUNT(%1$s) aggregates.CountStar[]=COUNT(*) aggregates.Sum[any]=SUM(%1$s) aggregates.Avg[any]=AVG(%1$s) aggregates.StdDevPop[any]=STDDEV_POP(%1$s) aggregates.StdDevSamp[any]=STDDEV_SAMP(%1$s) aggregates.VarPop[any]=VAR_POP(%1$s) aggregates.VarSamp[any]=VAR_SAMP(%1$s) aggregates.Rank[any,any]= aggregates.DenseRank[any,any]= aggregates.PercentRank[any,any]= aggregates.CumeDistH[any,any]= aggregates.PercentileDisc[any,any]= aggregates.PercentileCont[any,any]= aggregates.Grouping[any]= aggregates.Median[any]=MEDIAN(%1$s) aggregates.XMLAgg= aggregates.ArrayAgg[any,any]= aggregates.Collect[any]= aggregates.ApproxCountDistinct[any]= # # Distinct aggregates # aggregates.Avg.distinct[any]=AVG(DISTINCT %1$s) aggregates.Min.distinct[any]=MIN(DISTINCT %1$s) aggregates.Max.distinct[any]=MAX(DISTINCT %1$s) aggregates.Count.distinct[any]=COUNT(DISTINCT %1$s) aggregates.Sum.distinct[any]=SUM(DISTINCT %1$s) # # Linear regression aggregates # aggregates.Corr[any,any]= aggregates.CovarPop[any,any]= aggregates.CovarSamp[any,any]= aggregates.RegrAvgX[any,any]= aggregates.RegrAvgY[any,any]= aggregates.RegrCount[any,any]= aggregates.RegrIntercept[any,any]= aggregates.RegrR2[any,any]= aggregates.RegrSlope[any,any]= aggregates.RegrSXX[any,any]= aggregates.RegrSXY[any,any]= aggregates.RegrSYY[any,any]= # # JSON aggregates. # aggregates.JSONArrayAgg= aggregates.JSONObjectAgg= # # Character scalar functions # functions.CharLength[any]=CHAR_LENGTH(%1$s) functions.OctetLength[any]= functions.Upper[any]=UPPER(%1$s) functions.Lower[any]=LOWER(%1$s) functions.Substring[any,any]=SUBSTRING(%1$s, %2$s) functions.Substring[any,any,any]=SUBSTRING(%1$s, %2$s, %3$s) functions.Position[any,any]=INSTR(%1$s, %2$s) functions.Index[any,any]= functions.Ascii[any]= functions.Translate[any,any]= functions.Normalize[any]= functions.Normalize[any,any]= functions.Normalize[any,any,any]= functions.Random[]=RANDOM() functions.Random[any]= functions.SubstringR[any,any]= functions.SubstringR[any,any,any]= # # Numeric scalar functions # functions.Abs[any]=ABS(%1$s) functions.Ceiling[any]=CEILING(%1$s) functions.Exp[any]=EXP(%1$s) functions.Floor[any]=FLOOR(%1$s) functions.Ln[any]=LN(%1$s) functions.Log10[any]=LOG10(%1$s) functions.Mod[any,any]=MOD(%1$s, %2$s) functions.Power[any,any]=POWER(%1$s, %2$s) functions.Round[any]=ROUND(%1$s) functions.Round[any,any]=ROUND(%1$s, %2$s) functions.Round[any,any,any]= functions.Sign[any]=SIGN(%1$s) functions.Sqrt[any]=SQRT(%1$s) functions.WidthBucket[any,any,any,any]= # # Regular expression functions. # functions.SubstringRegex[any,any,any,any,any]= functions.OccurrencesRegex[any,any,any,any]= functions.PositionRegex[any,any,any,any,any,any]= # # Array scalar functions # functions.Cardinality[any]= functions.TrimArray[any,any]= # # Trig Functions # functions.Arccos[any]=ACOS(%1$s) functions.Cos[any]=COS(%1$s) functions.Coshyp[any]= functions.Arcsin[any]=ASIN(%1$s) functions.Sin[any]=SIN(%1$s) functions.Sinhyp[any]= functions.Arctan[any]=ATAN(%1$s) functions.Tan[any]=TAN(%1$s) functions.Tanhyp[any]= # # Temporal value expressions # functions.CurrentDate[]=CURRENT_DATE functions.CurrentTime[]= functions.CurrentTime[numeric]= functions.CurrentTimestamp[]= functions.CurrentTimestamp[numeric]= functions.LocalTime[]=LOCALTIME functions.LocalTime[numeric]=LOCALTIME(%1$s) functions.LocalTimestamp[]=LOCALTIMESTAMP functions.LocalTimestamp[numeric]=LOCALTIMESTAMP(%1$s) # # XML Functions # functions.XMLAttributes= functions.XMLComment= functions.XMLConcat= functions.XMLDocument= functions.XMLElement]= functions.XMLExists= functions.XMLForest= functions.XMLNamespaces= functions.XMLParse= functions.XMLPI= functions.XMLQuery= functions.XMLSerialize= functions.XMLTable= functions.XMLText= functions.XMLTransform= functions.XMLValidate= functions.XMLElement.ContentOption.NULL_ON_NULL=false functions.XMLElement.ContentOption.EMPTY_ON_NULL=false functions.XMLForest.ContentOption.NULL_ON_NULL=false functions.XMLForest.ContentOption.EMPTY_ON_NULL=false functions.XMLParse.DocumentOrContent.DOCUMENT=false functions.XMLParse.DocumentOrContent.CONTENT=false functions.XMLParse.WhitespaceOption.STRIP_WHITESPACE=false functions.XMLParse.WhitespaceOption.PRESERVE_WHITESPACE=false functions.XMLQuery.EmptyHandlingOption.NULL_ON_EMPTY=true functions.XMLQuery.EmptyHandlingOption.EMPTY_ON_EMPTY=true functions.XMLSerialize.DeclarationOption.INCLUDING_XMLDECLARATION=false functions.XMLSerialize.DeclarationOption.EXCLUDING_XMLDECLARATION=false # # JSON functions. # functions.JSONObject= functions.JSONArray= functions.JSONExists= functions.JSONQuery= functions.JSONTable= functions.JSONValue= # # Business functions. # functions.AddHours[any,any]=(%1$s + interval '1' hour * floor(%2$s)) functions.AddHours[time_with_time_zone,any]= functions.AddHours[timestamp_with_time_zone,any]= functions.AddMinutes[any,any]=(%1$s + interval '1' minute * floor(%2$s)) functions.AddMinutes[time_with_time_zone,any]= functions.AddMinutes[timestamp_with_time_zone,any]= functions.AddSeconds[any,any]=(%1$s + interval '1' second * floor(%2$s)) functions.AddSeconds[time_with_time_zone,any]= functions.AddSeconds[timestamp_with_time_zone,any]= functions.AddFractionalSeconds[any,any]= functions.AddDays[date,any]=(%1$s + interval '1' day * floor(%2$s)) functions.AddDays[timestamp,any]=(%1$s + (interval '1' day * floor(%2$s))) functions.AddWeeks[any,any]=(%1$s + (interval '7' day * floor(%2$s))) functions.AddMonths[any,any]= functions.AddQuarters[any,any]=(%1$s + (interval '3' month * floor(%2$s))) functions.AddYears[any,any]=(%1$s + (interval '1' year * floor(%2$s))) functions.Age[any]= functions.DayOfWeek[any,any]= functions.DayOfYear[any]= functions.DaysBetween[any,any]= functions.DaysToEndOfMonth[any]= functions.FirstOfMonth[any,any]=(trunc(%1$s,'MM')) functions.FirstOfMonth[any]=(%1$s - ( EXTRACT( DAY FROM %1$s ) * INTERVAL '1' DAY ) + INTERVAL '1' DAY) functions.LastOfMonth[any]= functions.MakeTimestamp[any,any,any]=cast(TO_TIMESTAMP('%1$s-%2$s-%3$s','YYYY-MM-DD') as timestamp without time zone) functions.FractionalSecondsBetween[any,any]= functions.FractionalSecondsBetween[timestamp,timestamp]=timestampdiff(SQL_TSI_FRAC_SECOND, %2$s, %1$s) functions.SecondsBetween[any,any]= functions.SecondsBetween[timestamp,timestamp]=timestampdiff(SQL_TSI_SECOND, %2$s, %1$s) functions.MinutesBetween[any,any]= functions.MinutesBetween[timestamp,timestamp]=timestampdiff(SQL_TSI_MINUTE,%2$s, %1$s) functions.HoursBetween[any,any]= functions.HoursBetween[timestamp,timestamp]=timestampdiff(SQL_TSI_HOUR, %2$s, %1$s) functions.DaysBetween[any,any]= functions.WeeksBetween[any,any]= functions.MonthsBetween[any,any]= functions.QuartersBetween[any,any]= functions.YearsBetween[any,any]= functions.WeekOfYear[any,any]= functions.WeekOfYear[any]= functions.YMDIntBetween[any,any]= # # Table functions # # # Literal constraints. # literals.time.fractional_seconds=true # # Literals # literals.smallint=true literals.decimal=true literals.float=true literals.char=true literals.nchar=false literals.varchar=true literals.nvarchar=false literals.clob=false literals.nclob=false literals.date=true literals.time=true literals.time_with_time_zone=false literals.timestamp=true literals.timestamp_with_time_zone=false literals.interval_year=false literals.interval_month=false literals.interval_year_to_month=false literals.interval_day=false literals.interval_hour=false literals.interval_minute=false literals.interval_second=false literals.interval_day_to_hour=false literals.interval_day_to_minute=false literals.interval_day_to_second=false literals.interval_hour_to_minute=false literals.interval_hour_to_second=false literals.interval_minute_to_second=false literals.date=true literals.time=true literals.time_with_time_zone=false literals.timestamp=true literals.timestamp_with_time_zone=false literals.binary=false literals.boolean=false literals.array=false literals.xml=false literals.datalink=false # Literal format specifications. Formats are compatible with String.format(). # Values for default behaviour are listed. # Only char, temporal and string types can be overridden. # Fractional seconds are presented as a string of up to 10 characters: '.' followed by 9 character # 0-padded string representing nanoseconds or empty. literals.format.boolean=TRUE:FALSE:UNKNOWN literals.format.char='%s' literals.format.clob='%s' literals.format.date=DATE '%1$04d-%2$02d-%3$02d' literals.format.interval_day= literals.format.interval_day_to_hour= literals.format.interval_day_to_minute= literals.format.interval_day_to_second= literals.format.interval_hour= literals.format.interval_hour_to_minute= literals.format.interval_hour_to_second= literals.format.interval_minute= literals.format.interval_minute_to_second= literals.format.interval_month= literals.format.interval_second= literals.format.interval_year= literals.format.interval_year_to_month= literals.format.nchar=N'%s' literals.format.nvarchar=N'%s' literals.format.time=TIME '%1$02d:%2$02d:%2$02d%4$.10s' literals.format.time_with_time_zone=TIME '%1$02d:%2$02d:%2$02d%4$.10s%7$c%5$02d:%6$02d' literals.format.timestamp=TIMESTAMP '%1$04d-%2$02d-%3$02d %4$02d:%5$02d:%6$02d%7$.10s' literals.format.timestamp_with_time_zone=TIMESTAMP '%1$04d-%2$02d-%3$02d %4$02d:%5$02d:%6$02d%7$.10s%10$c%8$02d:%9$02d' literals.format.varchar='%s' # # DataTypes # dataType.smallint=true dataType.integer=true dataType.long=true dataType.decimal=true dataType.float=true dataType.double=true dataType.char=true dataType.nchar=false dataType.varchar=true dataType.nvarchar=true dataType.clob=false dataType.blob=false dataType.date=true dataType.time=true dataType.time_with_time_zone=false dataType.timestamp=true dataType.timestamp_with_time_zone=false dataType.interval_year=false dataType.interval_month=false dataType.interval_year_to_month=false dataType.interval_day=false dataType.interval_hour=false dataType.interval_minute=false dataType.interval_second=false dataType.interval_day_to_hour=false dataType.interval_day_to_minute=false dataType.interval_day_to_second=false dataType.interval_hour_to_minute=false dataType.interval_hour_to_second=false dataType.interval_minute_to_second=false dataType.boolean=true dataType.binary=false dataType.xml=false dataType.period=false dataType.array=false dataType.struct=false dataType.map=false dataType.json=false dataType.datalink=false # # Collation # # Collation Sequence SQL (SQL statement for retrieving the collation sequence) # This statement returns a single row and single column containing the collation sequence collation.sequence.sql= # Datbase Encoding SQL. This statement retrieves the charset name for the non-unicode character data. # This statement returns a single row and single column with the charset name for use in a java.nio.CharsetEncoder. database.charset.sql= # # dataType.comparable # # Used to indicate that some data types that are comparable locally may not by the database # e.g. dataType.comparable[varchar,nvarchar]=false # # dataType.promotion # # Used to indicate what direction the promotion needs to occur # -> these properties are not symetrical # e.g. dataType.promotion[char,nvarchar]=true # # SQL DateTime Formatter validators. # To be used in order to verify the formatting patterns that users can give when they use # the following cognos-sql syntax: CAST('12- 8-13/1:52 PM' as TIMESTAMP FORMAT 'YYYY- MM-DD/HH12:MI AM') # formatters.delimiter=[-./,';: TZ] formatters.year=Y{1,4}|R{2}|R{4} formatters.month_number_of_year=M{1,2} formatters.day_number_of_month=D{1,2} formatters.day_number_of_year=D{3} formatters.twelve_hour_clock=H{2}(12)? formatters.twenty_four_hour_clock=H{2}24 formatters.am_pm=[AaPp][Mm]|[AaPp]\\.[Mm]\\. #formatters.am_pm=[AP][M] formatters.minutes_of_hour=MI formatters.seconds_of_minute=S{2} formatters.seconds_past_midnight=S{5} formatters.fractional_seconds=F{2}[1-9] formatters.time_zone_hour=TZH formatters.time_zone_minute=TZM #formatters.time_zone_second=TZS formatters.string_to_date=( \ (year)(delimiter)+(month_number_of_year)(delimiter)+(day_number_of_month) \ | (month_number_of_year)(delimiter)+(year)(delimiter)+(day_number_of_month) \ | (month_number_of_year)(delimiter)+(day_number_of_month)(delimiter)+(year) \ | (day_number_of_month)(delimiter)+(month_number_of_year)(delimiter)+(year) \ | (day_number_of_month)(delimiter)+(year)(delimiter)+(month_number_of_year) \ | (year)(delimiter)+(day_number_of_month)(delimiter)+(month_number_of_year) \ | (year)(delimiter)+(day_number_of_month) \ | (day_number_of_month)(delimiter)+(year) \ | (month_number_of_year)(delimiter)+(year) \ | (year)(delimiter)+(month_number_of_year) \ | (day_number_of_month)(delimiter)+(month_number_of_year) \ | (month_number_of_year)(delimiter)+(day_number_of_month) \ | (year) \ | (month_number_of_year) \ | (day_number_of_year) \ ) formatters.string_to_time=( \ (twelve_hour_clock)(delimiter)+(minutes_of_hour)(delimiter)+(seconds_of_minute)((delimiter)+((am_pm)|(fractional_seconds)|(fractional_seconds)(delimiter)+(am_pm)))? \ | (minutes_of_hour)(delimiter)+(twelve_hour_clock)(delimiter)+(seconds_of_minute)((delimiter)+((am_pm)|(fractional_seconds)|(fractional_seconds)(delimiter)+(am_pm)))? \ | (minutes_of_hour)(delimiter)+(seconds_of_minute)(delimiter)+(twelve_hour_clock)((delimiter)+((am_pm)|(fractional_seconds)|(fractional_seconds)(delimiter)+(am_pm)))? \ | (seconds_of_minute)(delimiter)+(minutes_of_hour)(delimiter)+(twelve_hour_clock)((delimiter)+((am_pm)|(fractional_seconds)|(fractional_seconds)(delimiter)+(am_pm)))? \ | (seconds_of_minute)(delimiter)+(twelve_hour_clock)(delimiter)+(minutes_of_hour)((delimiter)+((am_pm)|(fractional_seconds)|(fractional_seconds)(delimiter)+(am_pm)))? \ | (twelve_hour_clock)(delimiter)+(seconds_of_minute)(delimiter)+(minutes_of_hour)((delimiter)+((am_pm)|(fractional_seconds)|(fractional_seconds)(delimiter)+(am_pm)))? \ | (twenty_four_hour_clock)(delimiter)+(minutes_of_hour)(delimiter)+(seconds_of_minute)((delimiter)+(fractional_seconds))? \ | (minutes_of_hour)(delimiter)+(twenty_four_hour_clock)(delimiter)+(seconds_of_minute)((delimiter)+(fractional_seconds))? \ | (minutes_of_hour)(delimiter)+(seconds_of_minute)(delimiter)+(twenty_four_hour_clock)((delimiter)+(fractional_seconds))? \ | (seconds_of_minute)(delimiter)+(minutes_of_hour)(delimiter)+(twenty_four_hour_clock)((delimiter)+(fractional_seconds))? \ | (seconds_of_minute)(delimiter)+(twenty_four_hour_clock)(delimiter)+(minutes_of_hour)((delimiter)+(fractional_seconds))? \ | (twenty_four_hour_clock)(delimiter)+(seconds_of_minute)(delimiter)+(minutes_of_hour)((delimiter)+(fractional_seconds))? \ | (seconds_past_midnight) \ | (twenty_four_hour_clock) \ | (twelve_hour_clock)((delimiter)+(am_pm))? \ | (minutes_of_hour) \ | (seconds_of_minute) \ | (twelve_hour_clock)(delimiter)+(minutes_of_hour)((delimiter)+(am_pm))? \ | (minutes_of_hour)(delimiter)+(twelve_hour_clock)((delimiter)+(am_pm))? \ | (twelve_hour_clock)(delimiter)+(seconds_of_minute)((delimiter)+(am_pm))? \ | (seconds_of_minute)(delimiter)+(twelve_hour_clock)((delimiter)+(am_pm))? \ | (twenty_four_hour_clock)(delimiter)+(minutes_of_hour) \ | (minutes_of_hour)(delimiter)+(twenty_four_hour_clock) \ | (twenty_four_hour_clock)(delimiter)+(seconds_of_minute) \ | (seconds_of_minute)(delimiter)+(twenty_four_hour_clock) \ | (minutes_of_hour)(delimiter)+(seconds_of_minute) \ | (seconds_of_minute)(delimiter)+(minutes_of_hour) \ ) formatters.string_to_time_with_time_zone=( \ (string_to_time)(delimiter)*(time_zone_hour)(([:])(time_zone_minute))?(delimiter)* \ ) formatters.string_to_timestamp=( \ (string_to_date)(delimiter)+(string_to_time) \ ) formatters.string_to_timestamp_with_time_zone=( \ (string_to_date)(delimiter)+(string_to_time_with_time_zone) \ )