# Licensed Materials - Property of IBM
# IBM Cognos Products: OQP
# (C) Copyright IBM Corp. 2014, 2020
# US Government Users Restricted Rights - Use, duplication or disclosure restricted by GSA ADP Schedule Contract with IBM corp.

# 
# Delimiters
# 
delimiters.commentBegin=/*
delimiters.commentEnd=*/
# delimiters.catalogDelimiter=
# delimiters.schemaDelimiter=
# delimiters.tableDelimiter=
# delimiters.columnDelimiter=
# delimiters.identifierQuoteString=
# delimiters.searchStringEscape=
# delimiters.catalogSeparator=

# 
# Keywords
# 
keywords.columnAlias=AS

# 
# Various limits. A value of 0 means no limit, or the limit is unknown.
# 
# 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=
# limits.maxTableNameLength=
# limits.maxTablesInSelect=
# limits.maxUserNameLength=
# limits.defaultTransactionIsolation=
# limits.maxLengthInClause

# 
# General settings.
# 
general.nullsAreSortedHigh=true
general.nullsAreSortedLow=false
general.nullsAreSortedAtStart=false
general.nullsAreSortedAtEnd=false
general.nullsOrdering=false
general.nullsOrderingInWindowSpecification=true

#
# Cursor options - appended to end of generated SELECT statement.
general.cursorOptions=FOR FETCH ONLY

#
# Override sampling policy with a different one.
# 1. tablesample accepting values such as BERNOULLI or SYSTEM
# 2. rowsample accepting values such as NTH or RANDOM
#
sampling.tablesample=
sampling.rowsample=RANDOM

#
# Various features.
#
supports.duplicateColumnsInSelectList=true
supports.columnAliasing=true
supports.tableCorrelationNames=true
supports.expressionsInOrderBy=true
supports.aliasInOrderByExpression=false
supports.expressionsInINPredicate=true
supports.expressionsInSelectList=true
supports.booleanExpressionsInSelectList=false
supports.likeEscapeClause=true
supports.outerJoins=true
supports.fullOuterJoins=true
supports.subqueriesInComparisons=true
supports.subqueriesInExists=true
supports.subqueriesInIns=true
supports.subqueriesInQuantifieds=true
supports.subqueriesInCase=true
supports.subqueriesInAggregate=false
supports.correlatedSubqueries=true
supports.correlatedSubqueriesInSelectList=true
supports.correlatedSubqueriesInIns=true
supports.withClauseInDerivedTable=false
supports.nestedWithClause=false
supports.integerDivision=true
supports.nestedOlap=true
supports.derivedColumnLists=true
supports.orderByAlias=true
supports.orderByName=true
supports.orderByOrdinal=true
supports.blobsInGroupBy=false
supports.blobsInOrderBy=false
supports.scalarSubqueries=true
supports.emptyStringIsNull=false
supports.stitchJoins=false
supports.expressionsInGroupBy=true
supports.equiJoins=true

supports.thetaJoins=true
supports.crossProducts=true
supports.orderByUnrelated=true
supports.groupByUnrelated=false
supports.multipleDistinctAggregates=true
supports.recursiveWithClause=false
supports.constantsInWindows=false
supports.rowNumberNoOrderBy=true
supports.callProcedureInDerivedTable=false
supports.join.subqueriesInOnClause=true
#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

# 
# Performance properties (force certain transformations to be applied). 
# 
performance.convertGroupByToDistinct=false
performance.convertDistinctToGroupBy=false

performance.convertHavingToWhere=false
performance.transitiveClosure=false
performance.predicatePushdown=false
performance.semiJoin=false

# 
# Command.
# 
commands.Select=SELECT
commands.Call= 

# 
# Tables.
# 
tables.joined=true
tables.derived=true
tables.lateral.derived=true

# 
# Constructors.
# 
constructors.table=true
constructors.row=true
constructors.array=false
constructors.period=false
constructors.map=false

# 
# Constructors - context overrides.
# 
constructors.row.simpleCase=false
constructors.row.between=true
constructors.row.in=true
constructors.row.isDistinctFrom=false
constructors.row.inListToTable=true

# 
# Clauses
# 
clauses.From=FROM
clauses.Where=WHERE
clauses.GroupBy=GROUP BY
clauses.Having=HAVING
clauses.With=WITH
clauses.WithRecursive=
clauses.OrderBy=ORDER BY
clauses.Distinct=DISTINCT
clauses.At=
clauses.Window=
clauses.TableSampleSystem=TABLESAMPLE SYSTEM (%1$s)
clauses.TableSampleBernoulli=TABLESAMPLE BERNOULLI (%1$s)

# 
# 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=
operators.logical.IsNot=

# 
# Arithmetic operators.
# 
operators.arithmetic.Add[any,any]=%1$s + %2$s
operators.arithmetic.Subtract[any,any]=%1$s - %2$s
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.Negate[any]=-%1$s
operators.arithmetic.UnaryPlus[any]=+%1$s
operators.arithmetic.Concat[any,any]=%1$s || %2$s

# 
# Group By Operators
# 
operators.groupBy.Rollup=ROLLUP
operators.groupBy.Cube=CUBE
operators.groupBy.GroupingSets=GROUPING SETS

# 
# Comparison predicates.
# 
predicates.comparison.LessThan[any,any]=%1$s < %2$s
predicates.comparison.LessThanOrEquals[any,any]=%1$s <= %2$s
predicates.comparison.Equals[any,any]=%1$s = %2$s
predicates.comparison.NotEquals[any,any]=%1$s <> %2$s
predicates.comparison.GreaterThan[any,any]=%1$s > %2$s
predicates.comparison.GreaterThanOrEquals[any,any]=%1$s >= %2$s

# 
# Various predicates.
# 
predicates.Between[any,any,any]=%1$s BETWEEN %2$s AND %3$s
predicates.In[any,any]=%1$s IN ( %2$s )
predicates.Overlaps[any,any,any,any]= 
predicates.IsNull=%1$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$s IS NULL AND %2$s IS NOT NULL) OR (%1$s IS NOT NULL AND %2$s IS NULL) OR %1$s <> %2$s
predicates.IsNotDistinctFrom[any,any]=%1$s = %2$s OR (%1$s IS NULL AND %2$s IS NULL)

#
# 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.SimpleCase=CASE
expressions.SearchedCase=CASE
expressions.Coalesce=COALESCE(%1$s)
expressions.NullIf=NULLIF(%1$s, %2$s)
expressions.SearchedCase.compatibleResults=true

# Minimum number of arguments for Coalesce function.
expressions.Coalesce.minArgs=2

# 
# Cast
# 
expressions.Cast[any,any]=CAST(%1$s AS %2$s)
expressions.Cast[timestamp,varchar]=cast(TO_CHAR(%1$s,'YYYY-MM-DD HH24:MI:SS.FF6') as VARCHAR(%3$d)) 

# 
# 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]=
expressions.Extract.TIMEZONE_MINUTE[any]=

# 
# Trim
# 
expressions.Trim.BOTH[any]=TRIM(BOTH FROM %1$s)
expressions.Trim.BOTH[any,any]=TRIM(BOTH %1$s FROM %2$s)
expressions.Trim.LEADING[any]=TRIM(LEADING FROM %1$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]=MAX(%1$s)
olap.Min[any]=MIN(%1$s)
olap.Sum[any]=SUM(%1$s)
# Avg may return a precise type if expression not coerced to imprecise type
olap.Avg[any]=AVG(%1$s)
olap.Count[any]=COUNT(%1$s)
olap.CountStar[]=COUNT(*)
olap.StdDevPop[any]=STDDEV_POP(%1$s)
olap.StdDevSamp[any]=STDDEV_SAMP(%1$s)
olap.VarPop[any]=VAR_POP(%1$s) 
olap.VarSamp[any]=VAR_SAMP(%1$s) 
olap.Rank[]=RANK()
olap.DenseRank[]=DENSE_RANK()
olap.PercentRank[]=
olap.CumeDist[]=
olap.PercentileCont[any,any]=
olap.PercentileDisc[any,any]=
olap.Median[any]=
olap.RatioToReport[any]=
olap.RowNumber[]=ROW_NUMBER()
olap.Difference[any]=
olap.FirstValue[any]=FIRST_VALUE(%1$s)
olap.LastValue[any]=LAST_VALUE(%1$s)
# Olap Ntile without an order by will sort nulls first and not last.
# Ntile can not be nested in case expression SQLERRMC=SYSIBM.NTILE 
olap.NTile[any]=
olap.Tertile[]=
olap.Lag[any]=LAG(%1$s)
olap.Lag[any,any]=LAG(%1$s, %2$s)
olap.Lag[any,any,any]=LAG(%1$s, %2$s, %3$s)
olap.Lag[any,any,any,any]=LAG(%1$s, %2$s, %3$s, '%4$s')
olap.Lead[any]=LEAD(%1$s)
olap.Lead[any,any]=LEAD(%1$s, %2$s)
olap.Lead[any,any,any]=LEAD(%1$s, %2$s, %3$s)
olap.Lead[any,any,any,any]=LEAD(%1$s, %2$s, %3$s, '%4$s')
olap.NthValue[any,any]=
olap.NthValue[any,any,any]=
olap.NthValue[any,any,any,any]=
olap.Collect[any]= 

# 
# Window clause.
# 
olap.Window= 
olap.PartitionBy=PARTITION BY %1$s
# Olap does not allow a constants in the order by list.
# Olap does not allow a constants and expressions in the over clause.
# Olap does not allow a expressions in the partition by list.
olap.OrderBy=ORDER BY %1$s

# 
# Window specification
# 
olap.Window.Specification[POF]=true
olap.Window.Specification[PF]=false
olap.Window.Specification[OF]=true
olap.Window.Specification[PO]=true
olap.Window.Specification[P]=true
olap.Window.Specification[O]=true
olap.Window.Specification[F]=false
olap.Window.Specification[]=true
olap.Window.Frame.Moving=true

# 
# Olap Distinct
# 
olap.Min.distinct[any]=MIN(DISTINCT %1$s)
olap.Max.distinct[any]=MAX(DISTINCT %1$s)
olap.Sum.distinct[any]= 
olap.Avg.distinct[any]= 
olap.Count.distinct[any]= 

# 
# Aggregates
# 
aggregates.Max[any]=MAX(%1$s)
aggregates.Min[any]=MIN(%1$s)
aggregates.Sum[any]=SUM(%1$s)
aggregates.Avg[any]=AVG(%1$s)
aggregates.Count[any]=COUNT(%1$s)
aggregates.Count[blob]=COUNT(CASE WHEN %1$s IS NOT NULL THEN 1 END)
aggregates.CountStar[]=COUNT(*)
aggregates.StdDevSamp[any]=STDDEV_SAMP(%1$s)
aggregates.StdDevPop[any]=STDDEV_POP(%1$s)
aggregates.VarSamp[any]=VAR_SAMP(%1$s)
aggregates.VarPop[any]=VAR_POP(%1$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.Median[any]=

aggregates.Grouping[any]=
aggregates.XMLAgg=
aggregates.ArrayAgg[any]=
aggregates.ArrayAgg[any,any]= 
aggregates.Collect[any]=
aggregates.ApproxCountDistinct[any]=

# 
# Aggregates (distinct).
# 
aggregates.Avg.distinct[any]= 
aggregates.Min.distinct[any]=MIN(DISTINCT %1$s)
aggregates.Max.distinct[any]=MAX(DISTINCT %1$s)
aggregates.Count.distinct[any]= 
aggregates.Sum.distinct[any]=SUM(DISTINCT %1$s)

# 
# Linear regression aggregates
# 
aggregates.Corr[any,any]=CORR(%1$s, %2$s)
aggregates.CovarPop[any,any]=COVAR_POP(%1$s, %2$s)
aggregates.CovarSamp[any,any]=COVAR_SAMP(%1$s, %2$s)
aggregates.RegrAvgX[any,any]=REGR_AVGX(%1$s, %2$s)
aggregates.RegrAvgY[any,any]=REGR_AVGY(%1$s, %2$s)
aggregates.RegrCount[any,any]=REGR_COUNT(%1$s, %2$s)
aggregates.RegrIntercept[any,any]=REGR_INTERCEPT(%1$s, %2$s)
aggregates.RegrR2[any,any]=REGR_R2(%1$s, %2$s)
aggregates.RegrSlope[any,any]=REGR_SLOPE(%1$s, %2$s)
aggregates.RegrSXX[any,any]=REGR_SXX(%1$s, %2$s)
aggregates.RegrSXY[any,any]=REGR_SXY(%1$s, %2$s)
aggregates.RegrSYY[any,any]=REGR_SYY(%1$s, %2$s)

#
# JSON aggregates.
#
aggregates.JSONArrayAgg=
aggregates.JSONObjectAgg=

# 
# Character scalar functions
# 
functions.CharLength[any]=CHAR_LENGTH(%1$s)
functions.OctetLength[any]=OCTET_LENGTH(%1$s)
functions.BitLength[any]=(OCTET_LENGTH(%1$s) * 8)
functions.Upper[any]=UPPER(%1$s)
functions.Lower[any]=LOWER(%1$s)
functions.Substring[any,any]=SUBSTRING(%1$s, %2$s, CODEUNITS32)
functions.Substring[any,any,any]=SUBSTRING(%1$s, %2$s, %3$s, CODEUNITS32)
functions.Position[any,any]=POSITION(%1$s, %2$s, CODEUNITS32)
functions.Position[binary,blob]=LOCATE(blob(%1$s), %2$s)
functions.Index[any,any]=POSITION(%2$s, %1$s, CODEUNITS32)
functions.Ascii[any]=
functions.Translate[any,any]= 
functions.Normalize[any]=
functions.Normalize[any,any]=
functions.Normalize[any,any,any]=
functions.Round[double,any]=CASE WHEN (%1$s) < 0 THEN (CAST( ( (%1$s) * POWER( 10e0, (%2$s) ) - 0.5 ) AS BIGINT ) / POWER( 10e0, (%2$s) ) ) ELSE (CAST( ( (%1$s) * POWER( 10e0, (%2$s) ) + 0.5 ) AS BIGINT ) / POWER( 10e0, (%2$s) ) ) END
functions.Round[float,any]=CASE WHEN (%1$s) < 0 THEN (CAST( ( (%1$s) * POWER( 10e0, (%2$s) ) - 0.5 ) AS BIGINT ) / POWER( 10e0, (%2$s) ) ) ELSE (CAST( ( (%1$s) * POWER( 10e0, (%2$s) ) + 0.5 ) AS BIGINT ) / POWER( 10e0, (%2$s) ) ) END
functions.SubstringR[any,any]=CASE WHEN (%2$s) < 0 THEN (SUBSTRING( %1$s, (LENGTH(%1$s, CODEUNITS32) - ABS(%2$s) + 1), CODEUNITS32)) ELSE (SUBSTRING(%1$s, %2$s, CODEUNITS32)) END
functions.SubstringR[any,any,any]=CASE WHEN (%2$s) < 0 THEN (SUBSTRING( %1$s, (LENGTH(%1$s, CODEUNITS32) - ABS(%2$s) + 1), %3$s, CODEUNITS32)) ELSE (SUBSTRING(%1$s, %2$s, %3$s, CODEUNITS32)) END

#
# Regular expression functions.
#
functions.SubstringRegex[any,any,any,any,any]=
functions.OccurrencesRegex[any,any,any,any]=
functions.PositionRegex[any,any,any,any,any,any]=

#
# FDS functions.
#
functions.cast_longvarchar[any]=CAST(%1$s AS LONG VARCHAR)
functions.cast_longvarchar[time]=CAST(CHAR(%1$s,JIS) AS LONG VARCHAR)

# 
# 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.Random[]=RAND()
functions.Random[any]=RAND(%1$s)
functions.Round[any]=ROUND(%1$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]=WIDTH_BUCKET(%1$s, %2$s, %3$s, %4$s)

# 
# Array scalar functions
# 
functions.Cardinality[any]=
functions.TrimArray[any,any]=

# 
# Trigonometric functions.
# 
functions.Arccos[any]=ACOS(%1$s)
functions.Arcsin[any]=ASIN(%1$s)
functions.Arctan[any]=ATAN(%1$s)
functions.Cos[any]=COS(%1$s)
functions.Coshyp[any]=COSH(%1$s)
functions.Sin[any]=SIN(%1$s)
functions.Sinhyp[any]=SINH(%1$s)
functions.Tan[any]=TAN(%1$s)
functions.Tanhyp[any]=TANH(%1$s)

# 
# Datetime value functions.
# 
functions.CurrentDate[]=CURRENT_DATE
functions.CurrentTime[]=
functions.CurrentTime[numeric]=
functions.CurrentTimestamp[]=
functions.CurrentTimestamp[numeric]= 
functions.LocalTime[]=
functions.LocalTime[numeric]= 
functions.LocalTimestamp[]=
functions.LocalTimestamp[numeric]=

# 
# XML functions.
# 
functions.XMLAttributes=
functions.XMLComment=
functions.XMLConcat=
functions.XMLDocument=
functions.XMLElement=
functions.XMLExists=
functions.XMLForest=
functions.XMLParse=
functions.XMLPI=
functions.XMLNamespaces=
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=false
functions.XMLQuery.EmptyHandlingOption.EMPTY_ON_EMPTY=false
functions.XMLSerialize.DeclarationOption.INCLUDING_XMLDECLARATION=false
functions.XMLSerialize.DeclarationOption.EXCLUDING_XMLDECLARATION=false

#
# JSON functions.
#
functions.JSONArray=
functions.JSONExists=
functions.JSONObject=
functions.JSONQuery=
functions.JSONTable=
functions.JSONValue=

# 
# Business functions.
# 
functions.AddFractionalSeconds[any,any]=
functions.AddSeconds[timestamp,numeric]=ADD_SECONDS(%1$s, %2$s)
functions.AddSeconds[any,any]=
functions.AddMinutes[timestamp,numeric]=ADD_MINUTES(%1$s, %2$s)
functions.AddMinutes[any,any]=
functions.AddHours[timestamp,numeric]=ADD_HOURS(%1$s, %2$s)
functions.AddHours[any,any]=
functions.AddDays[any,any]=ADD_DAYS(%1$s, %2$s)
functions.AddWeeks[any,any]=
functions.AddMonths[any,any]=ADD_MONTHS(%1$s, %2$s)
functions.AddQuarters[any,any]=
functions.AddYears[any,any]=ADD_YEARS(%1$s, %2$s)
functions.FractionalSecondsBetween[any,any]=
functions.SecondsBetween[any,any]=SECONDS_BETWEEN(%1$s, %2$s)
functions.MinutesBetween[any,any]=MINUTES_BETWEEN(%1$s, %2$s)
functions.HoursBetween[any,any]=HOURS_BETWEEN(%1$s, %2$s)
functions.DaysBetween[any,any]=DAYS_BETWEEN(%1$s, %2$s)
functions.WeeksBetween[any,any]=WEEKS_BETWEEN(%1$s, %2$s)
functions.MonthsBetween[any,any]=CAST(TRUNC(MONTHS_BETWEEN(%1$s, %2$s)) AS INTEGER)
functions.QuartersBetween[any,any]=
functions.QuartersBetween[timestamp,timestamp]=TIMESTAMPDIFF(128, CHAR((TIMESTAMP(%1$s)-TIMESTAMP(%2$s))))
functions.YearsBetween[any,any]=YEARS_BETWEEN(%1$s, %2$s)
functions.Age[any]=AGE(%1$s)
functions.DayOfWeek[any,any]=(MOD(DAYOFWEEK(%1$s) - 1 + 7 - (%2$s), 7) + 1)
functions.DayOfYear[any]=DAYOFYEAR(%1$s)
functions.DaysToEndOfMonth[any]=DAYS_TO_END_OF_MONTH(%1$s)
functions.FirstOfMonth[any]=FIRST_DAY(%1$s)
functions.LastOfMonth[any]=LAST_DAY(%1$s)
functions.MakeTimestamp[any,any,any]=TIMESTAMP_ISO( DATE( CHAR( RIGHT( DIGITS( %1$s ), 4 ) || '-' || RIGHT( DIGITS( %2$s ), 2 ) || '-' || RIGHT( DIGITS( %3$s ), 2 ) ) ) )
functions.WeekOfYear[any]=WEEK_ISO(%1$s)
functions.YMDIntBetween[any,any]=YMD_BETWEEN(%1$s, %2$s)
# 
# Table functions
# 

# 
# Literals
# 
literals.binary=false
literals.boolean=false
literals.smallint=true
literals.decimal=false
literals.float=true
literals.char=false
literals.nchar=false
literals.varchar=true
literals.nvarchar=false
literals.blob=false
literals.clob=false
literals.nclob=false
literals.date=true
literals.time=false
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.xml=false
literals.BADMATCHdistinct=false
literals.array=false
literals.perioddate=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.varchar='%s'
literals.format.clob='%s'
literals.format.date=DATE('%1$04d-%2$02d-%3$02d')
literals.format.interval_day=INTERVAL %3$s'%1$d' DAY
literals.format.interval_day_to_hour=INTERVAL %4$s'%1$d %2$d' DAY TO HOUR
literals.format.interval_day_to_minute=INTERVAL %5$s'%1$d %2$02d:%3$02d' DAY TO MINUTE
literals.format.interval_day_to_second=INTERVAL %8$s'%1$d %2$02d:%3$02d:%4$02d%5$.10s' DAY TO SECOND
literals.format.interval_hour=INTERVAL %3$s'%1$d' HOUR
literals.format.interval_hour_to_minute=INTERVAL %4$s'%1$02d:%2$02d' HOUR TO MINUTE
literals.format.interval_hour_to_second=INTERVAL %7$s'%1$02d:%2$02d:%3$02d%4$.10s' HOUR TO SECOND
literals.format.interval_minute=INTERVAL %3$s'%1$d' MINUTE
literals.format.interval_minute_to_second=INTERVAL %6$s'%1$02d:%2$02d%3$.10s' MINUTE TO SECOND
literals.format.interval_second=INTERVAL %3$s'%1$d%2$.10s' SECOND
literals.format.interval_year=INTERVAL %3$s'%1$d' YEAR
literals.format.interval_year_to_month=INTERVAL %4$s'%1$d-%2$d' YEAR TO MONTH
literals.format.interval_month=INTERVAL %3$s'%1$d' MONTH
literals.format.nchar='%s'
literals.format.nvarchar='%s'
literals.format.time=TIME('%1$02d:%2$02d:%3$02d')
literals.format.time_with_time_zone={t '%1$02d:%2$02d:%3$02d%4$.4s%7$c%5$02d:%6$02d'}
literals.format.timestamp=TIMESTAMP('%1$04d-%2$02d-%3$02d %4$02d:%5$02d:%6$02d%7$.7s')
literals.format.timestamp_with_time_zone={ts '%1$04d-%2$02d-%3$02d %4$02d:%5$02d:%6$02d%7$.10s%10$c%8$02d:%9$02d'}
# 
# Data types.
# 
dataType.smallint=true
dataType.integer=true
dataType.long=true
dataType.decimal=false
dataType.float=true
dataType.double=true
dataType.char=false
dataType.nchar=false
dataType.varchar=true
dataType.nvarchar=false
dataType.clob=false
dataType.blob=false
dataType.date=true
dataType.time=false
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=false
dataType.binary=false
dataType.xml=false
dataType.perioddate=false
dataType.array=false
dataType.struct=false
dataType.map=false
dataType.json=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=