函数的分类

Oracle 提供一系列用于执行特定操作的函数

SQL 函数带有一个或多个参数并返回一个值
以下是SQL函数的分类:
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6WNQF//mITfzuXGnDY7rD31++pSqqaex5P//kLtswiOaPQuT1nJmT56ZIzCrne9LWGk7HJDg0aDeztlrzS+z28b3OcPpf87vuqurZBKWaCvgHzxk0d30yciI4jhBxWa7hPkFMzcbNAR29O0G7v3K2HmQBARjCQgVIQNxN9T2e8Gc3dI3RVe/d9VVV9t0jLb7ex39c+fS7ZYde777NL46drNzl0UlXfffpcMmcRuJbfbtsjeBaupSw/XWpmkave9oVG7QuN4k7n/LM3d49IeZqjTM9+yON9P9Xx07GFJfr2nqGmViPd+KDd6GAmTFYb5yT8A1Tjk3MwEwDICAYyUAriZmLA/lkpr0VCSha3psacT66oaWkzjnB7axq7r2UVrV7Drn+r16j4e2k0tA9yDQghUcdj+Z20GUeuZRURHp+t2+TqYrg2svxo3Hmdd23Zvoc71/5DUSKdiJuJVsNQfrGee5qDz7r1gdyHvvhmIiGJfSFmekY2zAQA8oKBDJSCuJkYej7r/ThwWGAtFER3u1awh6bOIb6fWBTNyVjBfqT3IOXnSsvWuWqclq3bumPPpdSsew96xDuhPaRl67gtgu+ZoG/ATEnLcrjOi4kp3KOhXA0mxT9AZXz4CGYCABnBQAZKYXx8XMRMPB6b9Ulk5OjEF+8vvgysbekR7yQ2/op0N/Cenyq/WO/Qg/TDl/RDufMvQ3vIyNEJ7uWbiZ7Bke279hBC1vipsvJ069YH0mN1ZZXUTNCXYBJCdgXtpc+F+gd80N7VCzMBgFxgIAOlMDExIWImnplmfRjaEv3xU7Fr7asgIWTt+sBz8VfKK2sl9tAzMKIt0R86oqFPS1IOHdGci79SXddKT+Gwi3+4dDMh5WJu3FzEIUnnxk2dxHOtWx/Y0TNM34D5oN14MjruR4vN0Dt8xP4V8tMxcWarzdg37G8vnii7VQUzAYAsYCADpTA1NSViJkbNNiVEVq5ujZ+KENLRM+zRs8hlJrJydYKnuFvXdiFh/qOgKWnZ7C7767R/tNiupmdzDa5lZHOv075zdz7loY482mHohZkAwE0wkIFSmJmZETETP9pL9pQQ9B0MnouHw6PN7UY3gy72OXk6h851ZZV8t0FrIxza3G9o4xrs3L23pcNostr4nyBv6+r1D/iANsjXFsNMAOAmGMhAKczNzXFlE2VlZQ5mgq35R7w0QVf6m/k6511H1Bo/f9W169kDj0ZdHR5/KcXPX1VSXsluWWgmxifnhp88V0ccvZ6ZgzQHAO6DgQwUBHdz4t69ew5mYpwuM4iXJto6jW2dxqHHo867BDcuISZteDQUAHnBQAbKYnJy0mQytba2OpgJi311QSgqYCYAkAUMZKA4rFZrb2+vg5mw0uUEoeSAmQDgRcFABkrEarWWl5dTM/F3fzdJCNPRZV9FEIhpL5mJV16BmQArBAxkoFCePXtWXFys0+neeusxIUz69QWLBwLBD0+YibY2hhDmJz/xpQoAkAuYCaBcOjs7y8rK1q7tJYTZtZuhqwUCIRIymonUVIYQ5sMPfSkBAOQCZgIoF5vN1t7efvjwA0KY//2/GfP4wqUCgRAP98zEJ58whDBqtS8lAIBcwEwApdPTM/r3fz9NCLN7N+OwNiAQSwrpZqKggCGEeeUVpq3Nx+MfAFmAmQCAyc2dpXX1lVULFgMEwp1wZSaeP2f+4R9wWwKsKGAmAGAYhtm8mSGEefVVJj5eaA1AIGQJhskvYJ3Em2/6etADIB8wEwAwDMNYrczatexz/2vWMCkpTGurrxcexAqKoSEmP5+tk6BOwmj09aAHQD5gJgCYp8D+WyMCIWPQ90lwf0Z2A6w8YCYAWMDz54xazXz4IfOTn/h+EVomsdbXF7AM4tVXmVWrmJAQVFyClQnMBADALQjBNAKA0sEsAABwC5gJAABmAQCAW8BMAAAwCwAA3AJmAgCAWQAA4BYwEwAAzAIAALeAmQAAYBYAALgFzAQAALMAAMAtYCYAAJgFAABuATMBAMAsAABwC5gJAABmAQCAW8BMAAAwCwAA3AJmAgCAWQAA4BYwEwAAzAIAALeAmQAAYBYAALgFzAQAALMAAMAtYCYAAJgFAABuATMBAMAsAABwC5gJAABmAQCAW8BMAAAwCwAA3AJmAgCAWQAA4BYwEwAAzAIAALeAmQAAYBYAALgFzAQAALMAAMAtYCYAAJgFAABuATMBAMAsAABwC5gJAABmAQCAW8BMAAAwCwAA3AJmAgCAWQAA4BYwEwAAzAIAALeAmQAAYBYAALgFzAQAALMAAMAtYCYAAJgFAABuATMBAMAsAABwC5gJAABmAQCAW8BMAAAwCwAA3AJmAgCAWQAA4BYwEwAAzAIAALeAmQAAYBYAALgFzAQAALMAAMAtYCYAAJgFAABuATMBAMAsAABwC5gJAABmAQCAW8BMAAAwCwAA3AJmAgCAWQAA4BYwEwAAzAIAALeAmQAAYBYAALgFzAQAALMAAMAtYCYAAJgFAABuATMBAMAsAABwC5gJAABmAQCAW8BMAAAwCwAA3AJmAgCAWQAA4Bavvvqqry8BAOBjYCYEWLVqFQEAAAAksGrVKl+vWr4HZkKAkJAQX18CAMsGgjQHUDZYMhiYCUEwOQIgHegFKBxIgIGZEAQjAwDpQC9A4UACDMyEIBgZAEgHegEKBxJgYCYEwcgAQDrQC1A4kAADMyEIRgYA0oFegMKBBBiYCUEwMgCQDvQCFA4kwMBMCIKRAYB0oBegcCABBmZCEIwMAKQDvQCFAwkwMBOCYGQAIB3oBSgcSICBmRAEIwMA6UAvQOFAAgzMhCAYGQBIB3oBCgcSYGAmBMHIAEA60AtQOJAAAzMhCEYGANKBXoDCgQQYmAlBMDIAkA70AhQOJMDATAiCkQGAdKAXoHAgAQZmQhCMDACkA70AhQMJMDATgmBkACAd6AUoHEiAgZkQBCMDAOlAL0DhQAIMzIQgGBkASAd6AQoHEmBgJgTByABAOtALUDiQAAMzIQhGBgDSgV6AwoEEGJgJQTAyAJAO9AIUDiTAwEwIgpEBgHSgF6BwIAEGZkIQjAwApAO9AIUDCTAwE4JgZAAgHegFKBxIgIGZEAQjAwDpQC9A4UACDMyEIBgZAEgHegEKBxJgYCYEwcgAQDrQC1A4kAADMyEIRgYA0oFegMKBBBiYCUEwMgCQDvQCFA4kwMBMCIKRAYB0oBegcCABBmZCEIwMAKQDvQCFAwkwMBOCYGQAIB3oBSgcSICBmRAEIwMA6UAvQOFAAgzMhCAYGQBIB3oBCgcSYGAmBMHIAEA60AtQOJAAAzMhCEYGANKBXoDCgQQYmAlBMDIAkA70AhQOJMDATAiCkQGAdKAXoHAgAQZmQhCMDACkA70AhQMJMDATgmBkACAd6AUoHEiAgZkQBCMDAOlAL0DhQAIMzIQgGBkASAd6AQoHEmBgJgTByABAOtALUDiQAAMzwXHnzp0QO4QQ7s8FBQW+vjQAXmowkwIFgiXDAcwCLMPDw6+88gpxor6+3teXBsBLDcwEUCBYMhzALDDP1q1bHYbFhx9+6OuLAuBlB2YCKBMsGXwwC8zj7DQV6zEBEAf3eAHAksEHZmIBfKepZI8JgDi4xwsAgyWDB8zEAvhTJKZFAETAPV4AsGRwwEw4QqdITIsAiIN7vAAwWDLswEw4QqdITIsALAru8QKAJYMCMyFAWVmZry8BgGUA7vECwGDJYBgGZgIA4A64xwsAYGAmAADugHu8AAAGZgIA4Ca4xwsAgJkAAAAAgFvATAAAAADALWAmAAAAAOAWMBMAAAAAcAuYCQAAAAC4haOZsFqZggImJIRZ9eu5v/+/5ghhECssXn2VWbWKCQlhbtxgnj/3yagDAACwolhgJtramH/+l7l/eXP2l3+e/HOoZdtl04HcsZA8Ng7mjR3MGwvNGwvNHzuUP3Y433S4wBRWYAorMB0pMB3RmsK1JrXWpC40RRSaIgtNUUWmqCKTpsh0VGf6QWc6pjMdKzYdLzafKDGfLDGfKjWfLjVHl5ljysxnys1ny82xt8xxt8znKsznK8wXb5vj9eMJ+vHEyvFLleNJVeOXq8aT74xfqR5PqR5PrbFcq7Gk3bVcv2fJuG/JvG+5UWvJqrNk11lu1k/kNkzkNUwUNE5omyYKH0wUPZjQNU+UtFhLW6xlrdbyNuutNmtFu1XfYa3snKzqmqzumqwxTN7tnrzXPXm/Z7LWOFlnnGronWrsm2p6OPXg4VRz/1TLwFTrwFTb4HT74HTH0HTn8HTX8LTh0XT34+mexzPGJzO9T2f6ns48fDbT/2ymf2RmYGRmcHRm6Pns8PPZRz/OPv5x9vHY7JOx2adjs09Ns89MsyPm2RHz7Oi47fm47bnF9qPFNmaxjU3YTBM204TNbLWZrbbxSZtlcs4yOWeZmpuYmpuYmrNOzVmn5ybtMTXDxvTM3PTs3PTs3AwXtrlZG8OFzcbY5tgYHWVKS5mQEObDD5nXXmPwyWgAAABuMm8mDofN/eM/276KNe/LHdufO7Y/d+xA7hjMxMozE3O8GBpi1qxh1q5lrFYfDkIAAADLG9ZMBO9j3vpgek8mayD4ATOxgs3E3BwzxzDHjzMff2zz7UAEAACwfCEMw9TXM//jX217b8z7BsGAmVipZoJhmE8+Yc6eRQHFi4Ayo5UdqDGSAlSwgkOiBIjVyvzzv8x9G2cOpUZBSsBMrDgzMTzMvP46U1zcbLPhFsUSkFRmlC8smXC7ZCKoZOx6mZdMsel4selEsflEiflUifl0qTnahWQuVJgv3h53kEzynfErd8ZTqsdTq8epXtLv2SVTa7lRa8mus+TYJZPfOFHQxEpG1zxR3GwtabGWtlrLWhfqpXPyTtdktcEumZ7J2p7JOuNUfS8rGVYv/Qv1MuSklyczfZxkOL2Mzgw/n31kl4yAXsyierHaxoX0YkWNkYcRUcHBF1XBUScVCK8a5ea4W+Zzt8znK8wXbi9QwfyqQVVQw1MBt2pQFdRbbtZP5DVM5C9cNYpdrRqdS1w1hthVwzA83U1V8MRx1RgYmRl0WjWe0FXDNPvMNPuML4Fx249UBQISYFcNQQlMvpAERqRJgKSmMm/8euZQ/thSA2ZiJZkJhmG2bmW++cbQ2trqrSlo2SO1zAhmYjmbCdQYiSOuApiJFWAmbNIkQL75jvEPnAyz/+++WMBMrAAzkZrKrF79TK/XP8fNXAksocwIZmKlmAnUGDlAVRCcydoImIkVbyZEJEDe/PnchigL/R91M9QwE8vZTLS1Mf/4j5NlZWVVVVVIdoiztDIjmImVZSYY1BgxDMOpIHMsJFcoYCZWrplghCRA/s+/ZQ5mmCMLTbIHzMTyMhMMwxDClJWV6fX6sbExb85Ky4sllxnBTKw4M4EaI0+rAGbiJTcTzhIghDAa+xTmiTgKM7HczMStW7f6+/u9Pz0tF+QqM4KZWL5mglF8jZGnVQAz8ZKbCcZJAoQQ5lixyQtxnA2YiZfdTJSVlbW0tHh5blpGuFlmdMQeMBPL2kwovMbI0yqAmXj5zYSDBAghzMkSs5fjFG9YHM0dfDEzcV7bCzPhITNx//59709Py4U3fz63Mcqi5oqE3A6YieVoJhReY+RpFcBMvPxmwkEChBAmuszsudgeU/KL36x3tTemzPz2b9b//qvwI9dal2omVv9+w3sfbYjNbV++ZqJ3aDQ7T5edp3s4PCpoJoafPG/v6oWZeKnwVJkRzMSyMhOMsmuMPK0CmImX30wwCyVACGFiy80eCs2Nnv/1lh8h5KOvwgUbhF9rJYQQQv7XW35xSzETYRfL6IF/WL87uXxYXjPx/d7IbXsjt++L3L4vcse+yB37I3fuj9y1P3LXgcjdByJ3H4gMCokMCokMDokMPhi552DU3tCovaFR+0Kj9h2K2n8oav+hqIb2QVdmIvSIpq17iE6OTW1G+lM0txvp5Bh/KeXa9eyevmFqJtq7egkhGzZtLq+ogpl4SV0u3u4AAB/PSURBVPBomdFRoWkUZuJlNhPKrDHyvgpgJl5aM0ElQAhhzleYPRfBZ0voenkgvsp578aQBLr38JU6buMFCWbip2/7E0I++nK3Q5ojPr+DSOOb3RGuzITEHkSoaewWNBOhYRpCyPt+Kldmgv61tdNIzUSetphu6et/BDPxkuDlMiOYiZfcTCizxogQ5hgtq/dwHIeZeOnNBJUAIYSJ1497ND74Yhch5PWf+zvvoivlH78Jd96V4NpMbNwTTQj56dv+Fwt7PWEmTlzIPJeiPZ+qPZ+qvZCqvXhVG39NG39Nm5BWmJhWeCmt8FJ6YVJ64eXrhckZhckZRReSs959X8XvXOTOxLadewgh23ftcTYTOfk6QsgRtYZLc0SfOUcI2bBpM9IcLw++KjM6XWoOOl+1bn+Cks1E39Bodp4uJ0/XPzwqaCaGnzxvN/R62UwoUC/eVwGttHOUwBLNxGdb1J9vUQcdT1++ZoKTwENhCbDJcS+bifv37xNCmKSqcY/G8RtthJCvQxMdtgedzqNLaXSeUbyHyzwzEXqhlB514EyeYAFmQkFHQkHHJW1HUmHH5aKO5KKOK7qO1OLO1OLOqyWd10o700o700s7b1b1yVIzkZxR9Gu7k/h07abC8lrxmonugZH3/VSEkMbWHgcz4eevIoS0dBg5M7Fh42ZCSHpmDszEy4Ony4yiy8xBF6r+9S2/b3/I1eQO8jeyIz+pbqlmYn9M3k/f9t99LJ3133KbiW32zKBwWvCAi7QgLzPY2DHoykwcOqJp7xmiM+kDu2Ra2o10Jo2/lJKWkd3TN0zNBD8zCDPhOTytAqkSWKKZoIdLNxM3ax4n5TeFn8n47Scbf/5OgIiZkJIcD+ZUECqQHG90+hWUMxOHjmjanCTQLCwBm4gEPG4mUqrH5Y2z+ca90Xn82BAc7bBlb3Tev/3CnxDy7u/WO2w/ldUm0jP9d/zsO7VvHw2tfjBwIjaZuxWxNzSqqr5bYgFmeWWtcXDE4c5E//CovqbuVEwcZzOHnozSvQ6/acFM+BZCmLPlZo/GR1+F0//6Y3mD/O1v/2Y9IcTvs110GpVuJn6/bjft0NlMXLv9KKGgI1HbcamQ9d9XdB0pus7U4s7Uks6rJQvNtwszIe1uoBh3m7oFzUToEQ0hZI2fypWZoH9t7TRSM8HPDMJMeA6PFtvF8iRwPG+Qv/2Xv1lPCPH/bBf9a9wLmYmQs3nOZuJKad+57MaI8/mRF/K3HowJ3KF2HqXs/WwhMyGDBJyS49RMUAm87ySBZmEJ2EQk4HEzkXbXIm+cyWl359/0wJk8wW7Pa3tpqcRP3/ZPu2tJ95GZuHbz9tdbg7mr3XMwqrKuW8rTHGX62tAwTegRzaEjmkPhmkPhmh279tJOdu7eG6bWhKk1R9SaI2pNeISmtdNYequS7m039HYYejsMvZ2G3k5Db5c9+gcfYXL0Pp4uM4pIZ6uSN4YkOOw6EM/+ZhZ8toS/XdxMXCweokeFcDfzeGZCc6lciipPXioQMRMnL7KZQTYteHVhWjBtQVrwSkbRRafMoMidie32zKCzmbiZryOEhEdouDQHPzMIM+E5PKqCF5OAm2Zi/TYB90AI+c0fN361K0J9JuNEYkGKtsmVmZCSHL+cXpjsOjkucmdCUALNwhKwiUjA42Yi875F3ojLZc3EH9bv/mKrmh/vf7SB7nLY/sVW9R/Ws788hZ7Nc+4zoaj3jV/60wYJRb1047GU6uRbwzdqPWUmyuv6nc0E939/Ija5wfBM+qOhGTk6KbM2pbXTGH0mTrxNZNRRTI7ehxAmwV7T44n44zfs72RnCoec977z4XpCyOs/9xfcmyhkJvZF5xFCVv9+g2DNhMQyI3EzsaSaiSsZRe/yM4O3asVrJnoGRtb4qQghTa1GBzNBM4NswbLVNj45RzOD1zNzYCY8ikeL7TgJxBQOOe9dZZeA4F6u2O7FzETAxxsiL+SfTC6/outIr+jzUM2Ec3JcvGaix54c50ugWVgCNhEJeNxM5NRb5I2L+ayZuJjf7rArLI6tkxA5KiwuT7DbjzfsJoScvFbNbfnZL/0d2strJj7+dNPHn266Vd/vbCaS0gv5BWUF5bUF5bXiZsLQP1Lf0lPf0tPQ0lNT10rnR4qurLKl3djSwUZrp7Gnb3jR+R1mwicQwly21/HIHkcu3aH/udui0gUbnLjRRhv8du0u8a64afTd360nhERdqRY3E5cKOwRrJuQyEzXNAyd5mcF9XGZQQgHmrapa4+CIw52J/kejlTV1p2LiuOqzoSfP6d4OQy/MhEfxXLFdmF0C30elixThEUJ+s3aXpEq7pZiJjdvVnivArHmwQAL85PiiBZjlThJoFpbAqIgEPG4m8hsn5I1ELTs9JWo7HHapz+fTXSJHqc/nu+r5XHYj9+fdkZdo++8OxDi3dN9MaKsM//FuACFk1eqAvIpmETORX1ZLN2rLayW+tGr7rj2EkDX+Km5YFJdVGvqGudLcqpo6umv4yXP+o24RkUcJIdrCYkyOvsITZUZc0EKif/uFv0ibDcHRdGx8czhx0Q4jLt8hhKz+/QbuaQ51QllcXrs3zUTawszg3tCoyrpuKU9zlOtr+WnBw06ZQS4tGB6haes0lt6q4mZSLi3IZQYN3WxmEHpxH8+pQF4JnM03nspqO53Vdjq7LSab/X1165HEuNz2c3nt5/PaL+S3e8FMOCbHQx2T467MRNmSJVApIoGuF5LAEsxE0YMJeSO5iJ2ekos6HHZFXWDNhMhRURfypZ9C9fEGuiXtVl/UhXzHuMjG0fiCH+ILfogvOJZQcDyh4ERiwclLBacuaaPiMvjDIlffFXtFG3tFS4dFVcvTTd+xIyCz6J6gmeCc5qdrN5VXt7T2jFzNKrqWVXS3qduVmaAJsDV+qsJS9j8+J09HCPHzV3X3DVMzER6hobscnpsPCt4LM+FbPFFmRGNLWCL9T3dVNsTF6t+z6cItYYlSWp7JaU+3m4n3PtpACPl6X7QnzMStun5nM8HNoSdjkxsNI9IfDc1cSmawrdNIs8Ui0Jt50Iv7eEgFskvgsy3ClRB85DUTAsnxhRJoMDyT/mjokpLjbZKT454yE6WtVnkjtaRT+s/vzA/xBYue4tPNQbRxakmnmyflD4uzyVq6ke8xA78LJoS8szrA2Uz89XvWaqiPxdJhUd3QTbekZRU5m4n6lh6a+lrjp2rvGeI/zRGfmELsfmLw8Sh3eQ5mgm7sMvTCTPgKT5QZZd63RGc00P/cP6zfvWjjhKJeboRsO5LoqtmxlGpCyBdb1c71TB4yEzQzWFHf72wmLl8v5L9nYj4z6NpMdPeP0LRgY6tjZrC4rJKfFmztNBolZwahF/chhMmstcgb0Zk8CSzWOEHHk0B4oqtmX3zvbTMhkBznJJBeyH/PBD857spMGOwSaHCSgM5bEliCmahot8ob6aVumYkTiQXi/Z9ILKAtdx6O4Z/0r7sjXMXP3wmgh3Bbvtkd8U1QxNqvgxY1E839U4FbgvMrmp3NRPgPZwkhmfl6vsekDRzMRIthKC7+Ct21fece+ty8w3smwtQaQsgRtSYhKYX713D4NgfdCDPhQwhhcuos8sbViuGf2euLk4p7pRxy8mo1N0i+/F4t2GbNHzYQWrpk3/LN/mhCyM9+6Z/DporlNBPaKsMqe2aQ04ugmSjgZwalvbTKITPY0m4sLq/k7uSZrbY7XGbw6XP+o9RcZhB6kRHZi+2u3uZJoKRXyiEnr/EksE29aPuzWaxZcSjLuymfmRBOjguZCYfkuJSXVgkkx11J4ImwBDxeM3Gna1LeuHGri/5IN251Oew6ncSu1iJHnU7SSulcsH9X8W1QhKvzSjETrgowGwzP9LXdDjesaAPnOxPUTBw7Fcu90c/5ddqnYuK67e7SP0BFCMnTFnNmoq//Ed2FgjIf4okyo082so8yHbtcLv2oc9mN//4f7Pz77//hz68oym+cCDl1nRDi/58bErUdNM5lN9LG0Wk1zrVKf9q0e+N29aYd6sAd6sAdEZt3RmzeFfHVrghxM5Gn74q9oo1LYTODd1qeBtozgzd09wXNxKm4hZlB48i1rKK0rKJ7Td2uzAQ7jfqpioQyg3Qmnc8MLnydNpcZhF5kRHYVeEICDsGV2QmW5W3YPv80B02Ra1wkxy/l3F1actzJTJyMc0yOUwk4JMf5ZmJpEpgUloDHzcTd7kl5I+c2u97n3O5y2HXGvlqLHHUmWeuq59KGJ2//mr3HINi/q9gSHOHqvDTuvaiZcH40lDZwlebgftO6VVW7bn1ganp23/Ao/1sD8ZdSCCF+Aao8rY4QEn3mHDc5dhp6CSEBqg9gJnyI7GVGf97ETqNbD8Ys9di0W31vrvLnFLFph5orVDp0+joRYtMOtWD5kTiuzETsQsmwd/LYzKDK2Ux88/0e+tcILjPYOJ8ZdDYT/MxgR88w/2kOVin+qh6HzOBCM0E3dhl6oRcZkVcFHpKAQ3BtBMvyNgm9pUqQb4MilpYcX2gmpCfHnzglx/kSaBaRwKSwBDxuJuqMk/JGfiVrC/Iruxx2xV5h/91Fjoq9onXV84Zvgvj/qc79u4rv90a4Oq/g5TmYiYqG/l37Ix3MRE3zACEkOaNIupng37Y9n3CFELJufaDDh4tKyivXbwzMLdC1dRkJIf4BH3CTY4G2mBASEXkUZsKHyFtmxFX/fLo56If4gs27IpYaN+8+5johhJzPrKE9Z9zuo90eOZPxQ3zB9tAY2iDjdp9ghdO+o0k/2H8V4wfduyQz0dI/tXlLcEFFs7OZCP8hlhCSma/nF2BykuGbiVbD0DkuM7hrT3vPkPNLq46oNYSQ8IiFmcGFb4zlZlLoRUZkVIHnJMAPbiQTe1meQ3He5l0RhJAP/riR3/Nn9m4/3xzEJcejYjOWlhxfaCakJ8db+clxJwk0i0igS1gCHjcTjX1T8oa2ykCvfuO3wfRd5Vz856eb2H+ahdu374vc+C3r186nagW75RociDhL/6CtMki8pO37Iukh4s3Op2q5Zk0P2WGRUXhv1eoAQgidHGmDpPTC4BC2z1NxyVLMRGiYhv8GTNps3frAw2pNmD3ocz6Dj0fptzn8Az4ghDQ0t9OREXP2HCEk40YOzIQPkbHMaOdhdoH/+TsBBfcec8VAS4J2FfJDEiEk4myGQ/US9+e/7o4gQgVJXIUTvzE/6N6lmglXBZiNhpHKum6Hpzk4yTjcmaBm4vipWO5DX86v0z4VE9cznxn8gBCSpy3mZtK+gfnMIPQiI3KpwNMS4OK3n2zk2keczaBVdCE/JIkLhFPH9dLO2x3CNROL389eaCYaDM/0dZKS40/syfHjp2KfOUmgWVgCKhEJeNxMtAxMyRvFNYYXGBAc8de0zn3GX2P/wzQxl7n+i2sMEi9p53524Rdvxp2F/rWm7Sl3YGjUWec0B/dc6N7QqEXNhMQf389f5fDV0MTLKXRkBAR8QAi5e78eZsKHyFtmFBR25he/CsivfninazIp5+63QRFc0PHwi18F8Ddy8YtfBRBC1n0dxHWVlHPX1VmuFT0ghPzuTxuXVOFEg+7lKpmq3TYTzo+GcpIRTHNwNUYVVXU0M/hweJT/CXL6O5l/gIp+lSD67DluJuVnBqEXGZFRBV6QQFLOXf4cezpJe+h4ksOwp6dzqNhzpQ43zYTzo6GCqwaX5uC+GsqXwI/CEmCT44IS8LiZaB+aljcqmwYS0woFY/cBdm121SAxrbD0nkGw26+2Bn+1Nbh9aLr0HmsmXLV0Du684s0S0wpps3sdz85eukH//M5qVcHtZtqAmxmd3zPx7bY94mYiI0eXmaPLvKm7cVNHn/A5ER2Xnaej35PNydPRF6PGX0rhzET13XpCiH/ABxNTc43N7EN9+NCXb5G9zKi04YngdvrfHXYySXDvl38NIoRsCY6QcgpaaSRYYyRS4cS/DOdKpnuiZuJ2Q/+uA5EOZuJuywAh5EpGkXQzwf8E+YWEFELIug2B/LQglxnMK9C1dfVyeqEzaUHhfGYQepEReVXgaQn8/s8bCSG0PR3MpQ1P6J+//GsQvzeHcS6uDvFKu/nkOM9M3F1Kctz5E+SsBNYH/kiT4wISMIpIwONmwvBo2mtx+Tq7Wr/AsTXNA/QPFbWsmaioNUg8lktJSL+8P3+xiRASHBLp0IabGbvtb8DkqtP3HYqSUjPR0NJDCFnjpxodtz0ft9GaCUMve5+KK80dn7RZJufondt8bfGlyymEkKDgvTATvsUTZUbOUdHETnauSojo3v3qMxILhtSnkpZa4cQ/kavLcCgzotNoZuG9d+yZQb6ZCD7IyvB0XLIUM+HwYTzabN2GQIe0YHiEZvDxKP02B9VLY3M7nUn5mUHoRUa8oAK5JMAN0av5d/kdqk8lcdu53hIzby1JHc4SEEiO88zEkpLjLiWwXkQCNhEJeNxMGJ9Mey2uZLCrtTudVNaxZqKyziDxkL2hkVLOy7+8yjrDqbhkhwZNhmfs2Cq7b9840/tk5vS55HffV9W1DUoxE/QNmFm5Or6ZOBUdRwg5otZwDw1TM0Hv3NLxQQipsec4MDn6CkKYpr4pT0ehvfAop6xZsAHdez5VK9JJVfNTrloop6w5p6yZftWQVikVVhn4J4o8fZnudQjxE3ENmvqmmh5O3Wl5usOeGTykOeuc5uDu5O3jMoOuzQSRhl+AyuGroZcup9CZNEA1nxmEXmTECyqQRQLltf202aZvgx0OqWp+6vBnQggVhfM1OGxfRAL7FibHF6Y5pCfHX0gCNhEJeNxMPHw2I0vsOxS1aHy6li3AlNJ436EowRPdsT9Ic6ehW/q10UPEm6XeKHLVjF4P95/nfOqWnpF+CU9zlFey7ypZ46c6ER1XVFrZ2Tvc3G4vK+swOpgJ7uYEISQg4IP5T7ZgcvQRnigzco6YhEz6n17T9tR5b0UDO0UKFhhxEbhl/nMAztCSI4kVTq5OxJUZ1bQ95a75HdGXVnF38tjMoGszwaUFs3LZzODJ6DguLZiTz2YGE5JSODPBzww2LcwMQi8y4gUVyCsBOtpdHcKpoKKhX3C7SH2eoAToe9tcvbTqZJyk5Dh9nTaVwA2pErCJSMDjZmJwdEaWkDIlLRXBE91tYs3E3aZuidd24HCUSIdcpGUVuWq2Zcce7qoOHI5a9N/BlZlo7R7Slui5G1Z8vtwQyH3oi28mEi+zz/xkZObATPgcQpiOoWlPxyefbyKEfPL5JsG9ZfayobJ7BpFOsnX3+QNs94HIw5qzl9IKr928zR3IdfXV1uDdByKdg+69lFYoeIpL9jIj7pp3H4jkN+gUegPmaX5mUELNRGMrmxnk7uSNWWwGewV7T98wZyb4mcGkhZlB6EVGvKAC9yVw7Aw7zA5rznbwKt6cBzN/GC/1LItKoEPoDZhSkuP8mokGvgTGbbRmQkgCNhEJeNxMPPpxVpYICdMsGl98GUh/eCmNQ8I0gieqbe6hndQ290i/NnqIeLPr9q+qCO76fueepKtZi56U9nA9R8dtEXzPBH0DZmp6NllI/KUU7tFQi/03LUpAwAd9A49gJnyLF8qMuKqgc0k3BBvoKptpA/GyoZrmgXNJN26W3OfqjUTO5aorzgosWmZUUWs4EZvs0KC+i80M5pbc53+bYz4zKMFM0Nf/ZeXq+GbiVAybGeS+v0zNhKvMIPQiI55WgSwSqKg1/Oo91a/eUy06mOmLpJwr5KTU5y1NArxvcyyaHHd+AyYrAbuZEJKAaHLc02aCXrF3gvsGmjud1LWwZqKupUfiIaF2M+GFy6M9ZOToHLY/dTITvUOj9Huyfv6qnDzdlxtYp1VSXknNBB0ThJDdwXvpyAhQfUA/zIHJ0VcQwhifzHg09oayN9KaDCOCDa5ksLfQ3D9XZR17n6+yrluwAd17JaNoqVeyNzSK+0H4/ffaHw1t7h6R8jQHPzN4MjquqKyyq3e4hZcZdDATlileZlA1nxmEXmTE0yqQSwL5ZbUld1rEB3OTYYRuv5CctVR1vJgEWBVwEljMTDhKoLSya2Fy3MFMLEiO8yTgcTMxYpr1WmTdZFdrdzpptJuJxpYeiYccOqKRcl7u8twn66ZO7Fzm2axc9lzrNgR29Q7TR91aOoynYuLMVltP3zD3onX63Hxf/6MA+/i4dbsKk6OvkLHMSLxwJ/pc8gsU9yw1Fq1AontTbxQt9Uq+2z6fGXRV/9QvwUy0dQ8VusgMrt8QOJ8W5JmJS1xm8EYOzIQn8KgKPCcBwcHMdVVe3bJUdcgjgcXMRJvr5LiTBFgzISgBj5sJetvEO5Gdx66g7nTCvQLsQZtRvBl9iwN30kXPy2/pJtl5OsFT3Ktvu5A4/97T1PRsh9dpmyZsaRnzuY/0jBzuddo19+ZTHhGRRw3dvZgcvY+MZUbOoatgfwVZvUYl0kxzIpYQ8tm6TUvq/G5Tt66iNjEl68DhKK7/RSuQ6N60rKKllhmlZRVt2bEnMSVr0dom7hTi75mgr/9zzgwmJKVwj4ZaJueqeTIJUM1nBmEmZMRzKvCoBAQH8+o1Klenk1KfJ68ExN8zIUECTslxngQ8bibG6Ermlcixr9budDJ/h5N+bNN1cIkDyqnoOPH2/cOjLe1GN4OeKydP59B5cVkl/2LiE1P66Yv8uJiw1TW2cQ12Be1t7+qlv2nxX2dGH/UhhGiLijE5eh9CmOHns56I3CI9979//0GPSMvP1wUSQkIOa0TaPOgcyi3Sp2frjp6M3corH+agze4/6BE/I92bnq0T3JuereP39mLBneLRYmaib2h0x257ZjBft56XGaRmgp8ZDFiYGYSZkBEPqUBeCUgZzGcvXBEZ4YuqQ3YJDC+UgLOZ6OMnxwUkYBORgMfNhHnC5rXIzWf/3d3ppLWDXbBbO4ziLUvK2fXbz1+VcCnFOz8jPWNuvs55V7ha4+evSruePfho1NXhCZdS/AJUJeWV3A0rh68gPnn2PCLyaMaNHEyOPsETZUaG/pFjp2K5abRMXytYKkSDaxkXf0Wkz/zi+XmZ8r6fKjRMk5Gju1PbyvXGNcsv1nMb+cGdi/611TAkWGbkPg5lRs41Rlxm8MsNgYbeYXonr6XDeDomzmy1GfuGwyOO0gYxXGZQNZ8ZhF5kRHYVeEICixa0lelrOWkItpdSn+cdCTxzkkCXsAQ0IhLwuJkYp7kWr4Sxb7it09jWaXSnk6HHo3kFurwCnbFveNHGbZ3GIXr/x1tBf0DBky7tSlyYCTzN4VvkLTMyDoyct38YkBCyxk/lqhJo3frAhTMPae8eEu+ZNjt+KvZWZa1xYMShwYvNd4eOaLxcZlRT10o/sUtJTc92SAuarQszg5k5nF5q7s/f742MYjOD0Iv7EMJQh+d+GAdH+P+/a/xUja09gi0FJNAztKRzsSMtVzdiZp835m9xDq6Nq0viL/AySMDFZQhK4EcRCWQISyDihSSwBDMxMTmHeKkDZuJlQt4yI34BzeFwTd/QqKuWt+/UcS3XrQ+8V9+2aOfibV5svjscruF30jc0+qDN6GbQnp3LjIpKF2QGLySm9A2NOtQYCWQGF+rFOTMIvbiPjCrwqAQExzw30h60GXfs2rtufaCr9lLq83wgAfujoS4lMCmnBKSaiVdeYZ6PzVmnEMskYCZ8jexlRvGJKX7+quKySvFmht7hnDxdcVmlgT77s4KCTnPOZUZjFluYWuPnr7qWnu1YYGRZ8MlEvwBVaXnluNCdPC4zmJmVA73Ihbwq8JoE6PcsHE4kMLR4u+i7Jj0tOvkkwN7PFpRAxgtJQKqZeP11pube/PqEWEYhr5l4/pz527+1KXZylI6Xy4yUEK0dxtYOo2AhkUh10Xw4PRrqMJN6Qi+M4s2Ez4fNSgr5JCBsJthVw6M1E5s3M6dj5mWGWI4hy+RYUMC89daYYidH6Xi5zAixhICZ8BZQwUsaPjQTZ88ymwIZ2i9iuYc7k6NazfzlLw/pyKirq/PB/LRMQJnRyx4wE54HKnjZw/tmYniY+clPGPM4r1PECoilT46vv86cP3+PjozOzk4fzE/LBJQZLaeAmfAMUMGyCa+ZCYZhEhKYL75g+B0hVlgsOjmq1cxnnw3QYXH79u3Hjx/7ZIZaFqDMaJmGvGZC4TVGUMGyDFnNhIMECN26Zg2TmbngYMRKDefJsb6eee01a2HhLc5MWCwWX01SLz8oM1rugRoj94EKlnXIYiYcJMCaiefPmZ/9zBYUxExMOIkHsaIjXM289po1NfUOHRO3bt1qbGz01Qy1LECZ0YoJd8yEwmuMoIKVEe6YCQcJEP742Llz5PXXmfBwprQUrmKFR2kpc+wY8+abzGefDXD3JMrKyqqqqqamprw/Ny0jUGa0AgM1RksEKlhpsXQz4SCBBWbCZrNdvdrwl788fOMN83/7b3OEMIiVGm+8Yf7448GYmNoyHnq9/smTJ96fmJYdKDNa2YEaIylABSs4FjUTzhIgDuNjamqqrq7u9u3bZUBh6PX6R48eeX9KWqagzEgh4WwmUGPEARUoJKRIwNFMUIaGhvR6vV6v993SBrxERUWFXq+vq6tDdmNJoMxImYEaIz5QgQLDlQSEzQTDMFNTUyMjI0ajsa6u7j5YobS1tQ0ODo6NjXlx/llRoMxIIYEaIxGgAiXEohJwaSYAAIuCMiOFBGqMRIAKlBCLSgBmAgC3QJmRMkGNER+oQIE4SABmAgAZQJmRQkCNkQhQgRJwJQGYCQDkAWVGKx7UGC0KVLCyEZEAzAQAAAAA3AJmAgAAAABuATMBAAAAALeAmQAAAACAW8BMAAAAAMAtYCYAAAAA4BYwEwAAAABwC5gJAAAAALgFzAQAAAAA3OL/BzlS6CkiaN/pAAAAAElFTkSuQmCC" alt="" width="418" height="147" />
 
单行函数对于从表中查询的每一行只返回一个值
可以出现在 SELECT 子句中和 WHERE 子句中
单行函数可以大致划分为:
  1.日期函数
  2.数字函数
  3.字符函数
  4.转换函数
  5.其他函数

单行函数

日期函数

日期函数对日期值进行运算,并生成日期数据类型或数值类型的结果
日期函数包括:
  1.ADD_MONTHS
  2.MONTHS_BETWEEN
  3.LAST_DAY
  4.ROUND
  5.NEXT_DAY
  6.TRUNC
  7.EXTRACT
--Sysdate:获取系统时间函数
Select sysdate from dual; --Add_months:指定日期增加(减少)月份的时间
Select add_months('24-10月-15', 12) from dual;
Select add_months(sysdate, 10) from dual; --Months_between:返回两个时间之间的月份的差
Select months_between(sysdate, '24-12月-15') from dual; --Last_day:返回本月最后一天
Select last_day(sysdate) from dual; --Next_day:下一个日期是什么时候
Select next_day(sysdate, '星期六') from dual; --To_date(日期, 日期格式):将一个日期按照指定的格式转成一个日期数据;
Select to_date('2015/10/24', 'yyyy-mm-dd') from dual;

字符函数

字符函数接受字符输入并返回字符或数值
 

函数

输入

输出

说明

Initcap(char)

Select initcap(‘hello’) from dual;

Hello

将首字母大写

Lower(char)

Select lower(‘FUN’) from dual;

fun

大写转换为小写

Upper(char)

Select upper(‘sun’) from dual;

SUN

小写转换为大写

Ltrim(char,set)

Select ltrim( ‘xyzadams’,’xyz’) from dual;

adams

从左边开始找,删除指定字符

Rtrim(char,set)

Select rtrim(‘xyzadams’,’ams’) from dual;

xyzad

从右边开始找,删除指定字符

Translate(char, from, to)

Select translate(‘jack’,’j’ ,’b’) from dual;

back

替换字符

Replace(char, searchstring,[rep string])

Select replace(‘jack and jue’ ,’j’,’bl’) from dual;

black and blue

替换所有指定字符

Instr (char, m, n)

Select instr (‘worldwide’,’d’) from dual;

5

找到指定字符的位置

Substr (char, m, n)

Select substr(‘abcdefg’,3,2) from dual;

cd

找到指定位置的字符

Concat (expr1, expr2)

Select concat (‘Hello’,’ world’) from dual;

Hello world

拼接字符

 

以下是一些其它的字符函数:

  • CHR和ASCII   CHR:将ASCII码转换成char字符;ASCII:得到字符的ASCII码
  • LPAD和RPAD      将不够的字符补齐:
    •   例:
    • select rpad('1234.5', 10, '') from dual;--输出'1234.50000'
    • select job, lpad(job, 10, ' ') from emp;
  • TRIM    去掉两边的空格
  • LENGTH  计算长度
    • Select * from emp2 where length(ename) = 4; --名字为4个字符的数据
  • DECODE

数字函数

数字函数接受数字输入并返回数值结果

函数

输入

输出

说明

Abs(n)

Select abs(-15) from dual;

15

取绝对值

Ceil(n)

Select ceil(44.778) from dual;

45

上取整函数

Cos(n)

Select cos(180) from dual;

-.5984601

余弦函数

Sin(n)

Select sin(0) from dual;

0

正弦函数

Floor(n)

Select floor(100.2) from dual;

100

四舍五入

Power(m,n)

Select power(4,2) from dual;

16

函数

Mod(m,n)

Select mod(10,3) from dual;

1

求余函数

Round(m,n)

Select round(100.256,2) from dual;

100.26

向上把数值字段舍入为指定的小数位数

Trunc(m,n)

Select trunc(100.256,2) from dual;

100.25

向下把数值字段舍入为指定的小数位数

Sqrt(n)

Select sqrt(4) from dual;

2

平方根函数

Sign(n)

Select sign(-30) from dual;

-1

符号函数

当x<0时,sgn(x)=-1
当x=0时,sgn(x)=0
当x>0时,sgn(x)=1
 

转换函数

转换函数将值从一种数据类型转换为另一种数据类型
常用的转换函数有:
  TO_CHAR  --转换为字符
  TO_DATE  --转换为时间类型
  TO_NUMBER  --转换为Number类型
 

转换空值函数:

以下是几个用来转换空值的函数:
  NVL
  NVL2
  NULLIF
Select sal, comm, sal+nvl(comm, 0) from emp;  --如果comm为null,用0表示

select itemdesc, NVL(re_level,0) from itemfile;

select itemdesc, NVL2(re_level,re_level,max_level) from itemfile;

select itemdesc, NULLIF(re_level,max_level) from itemfile;
 

分组函数

分组函数基于一组行来返回结果
为每一组行返回一个值
 
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" alt="" width="430" height="109" />
 

Avg:求整个列的平均值

Select avg(sal) from emp;  --平均工资

Min:最小值

Select min(sal) from emp;

Max:最大值

Sum:总和

Count:计算条数;注:如果写的是列名,则不统计null行。

Select count(*) from emp where job='MANAGER'; --统计有多少个经理
Select sum(sal) from emp; --统计工资的总和
Select count(*) from emp where deptno = 30; --统计部门号为30的有多少个人
select count(distinct job) from emp; --有多少个岗位,去除重复数据

注:查询出来的结果不能喝其他行列一同显示:

select ename, min(sal) from emp;--错误写法

 

GROUP BY子句

用于将信息划分为更小的组
每一组行返回针对该组的单个结果
select p_category, MAX(itemrate) from itemfile group by p_category;

HAVING子句

用于指定 GROUP BY 子句检索行的条件
select p_category, MAX(itemrate) from itemfile group by p_category having p_category not in ('accessories');

分析函数

分析函数根据一组行来计算聚合值

用于计算完成聚集的累计排名、移动平均数等
分析函数为每组记录返回多个行
 
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" alt="" width="390" height="117" />
 
以下三个分析函数用于计算一个行在一组有序行中的排位,序号从1开始
1.ROW_NUMBER 返回连续的排位,不论值是否相等
2.RANK 具有相等值的行排位相同,序数随后跳跃
3.DENSE_RANK 具有相等值的行排位相同,序号是连续的
 
select d.dname, e.ename, e.sal, DENSE_RANK()
OVER (partition by e.deptno order by e.sal desc)
as denrank
from emp e, dept d WHERE e.deptno = d.deptno;

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