Download combit Relationship Manager - Manual
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Data types Start > Paste > Table > Delete Cell Paste > Table > Delete Cell Start > Paste > Table > Delete Column Paste > Table > Delete Column Start > Paste > Table > Delete Row Paste > Table > Delete Row Start > Paste > Table > Insert Cell Paste > Table > Insert Cell Start > Paste > Table > Insert Column Paste > Table > Insert Column Start > Paste > Table > Insert Row Paste > Table > Insert Row Start > Paste > Table > Link Cells Paste > Table > Link Cells Start > Paste > Table > New Table Paste > Table > New Table Start > Paste > Table > Split Cells Paste > Table > Split Cells Start > Text Formatting > Background Format > Background Start > Text Formatting > Bold Format > Character > Bold Start > Text Formatting > Bullet Character Format > Character > Bullet Character Start > Text Formatting > Centered Format > Character > Centered Start > Text Formatting > Decrease Indent Format > Character > Decrease Indent Start > Text Formatting > Font Format > Character > Font Start > Text Formatting > Increase Indent Format > Character > Increase Indent Start > Text Formatting > Italic Format > Character > Italic Start > Text Formatting > Left Format > Character > Left Start > Text Formatting > Numbering Format > Character > Numbering Start > Text Formatting > Right Format > Character > Right Start > Text Formatting > Style Format > Style Start > Text Formatting > Underlined Format > Character > Underlined 21.6 Data types This chapter describes the most important data types in PostgreSQL and MS SQL. This information is provided without any guarantees of being correct. Advice for the selection of a numerical data type: ▪ For whole numbers, the "int" type is the most common choice, since it provides the best balance between range, memory size and efficiency. The "smallint" type is normally only used when storage space is limited. The "bigint" type should only be used when the "int" range is not sufficient, since the latter is faster. ▪ The "numeric" type can be recommended for saving monetary values and other values where accuracy is required. The "numeric" type is very slow in compar ison to the floating point types. The "money" type is outdated. 335