• elasticSearch7.9数据占用磁盘存储空间情况


    最近,在VMware Workstation虚拟机上安装了es7.9,单节点的es,不是集群,然后建了一个索引(包含3个分片和一个副本),插入了500万条数据,占据磁盘空间17G。如下图:

    =============================================================

    索引的字段如下,仅供参考:

    1. PUT my_log
    2. {
    3. "settings":{
    4. "index":{
    5. "number_of_shards":"3",
    6. "number_of_replicas":"1"
    7. }
    8. },
    9. "mappings": {
    10. "properties": {
    11. "logId ": {
    12. "type": "keyword"
    13. },
    14. "xxxId": {
    15. "type": "keyword"
    16. },
    17. "xxxDataId": {
    18. "type": "keyword"
    19. },
    20. "xxxeName": {
    21. "type": "keyword"
    22. },
    23. "souxxxpic": {
    24. "type":"keyword"
    25. },
    26. "souxxxoup": {
    27. "type":"keyword"
    28. },
    29. "tarxxxame": {
    30. "type":"keyword"
    31. },
    32. "callxxxeMode": {
    33. "type":"keyword"
    34. },
    35. "callTxxxdeName": {
    36. "type":"keyword"
    37. },
    38. "mxxxce": {
    39. "type":"keyword"
    40. },
    41. "datxxxory": {
    42. "type": "keyword"
    43. },
    44. "daxxxame": {
    45. "type":"keyword"
    46. },
    47. "filexxxId": {
    48. "type":"keyword"
    49. },
    50. "filexxxName": {
    51. "type":"keyword"
    52. },
    53. "fixxxype": {
    54. "type":"keyword"
    55. },
    56. "filxxxName": {
    57. "type":"text"
    58. },
    59. "logxxxName": {
    60. "type":"text"
    61. },
    62. "loxxxpe": {
    63. "type":"keyword"
    64. },
    65. "buxxxtage": {
    66. "type":"keyword"
    67. },
    68. "buxxxeName": {
    69. "type":"text"
    70. },
    71. "buixxxgeTime": {
    72. "type": "date",
    73. "format": "yyyy-MM-dd HH:mm:ss.SSS"
    74. },
    75. "buinxxxeStatus": {
    76. "type": "keyword"
    77. },
    78. "buixxxatusName": {
    79. "type":"keyword"
    80. },
    81. "rexxxMode": {
    82. "type": "keyword"
    83. },
    84. "recxxxdeName": {
    85. "type":"keyword"
    86. },
    87. "creaxxxTime": {
    88. "type": "date",
    89. "format": "yyyy-MM-dd HH:mm:ss.SSS"
    90. },
    91. "rexxxime": {
    92. "type": "date",
    93. "format": "yyyy-MM-dd HH:mm:ss.SSS"
    94. },
    95. "msgSxxxTime": {
    96. "type": "date",
    97. "format": "yyyy-MM-dd HH:mm:ss.SSS"
    98. },
    99. "callTarxxxime": {
    100. "type": "date",
    101. "format": "yyyy-MM-dd HH:mm:ss.SSS"
    102. },
    103. "begxxxxime": {
    104. "type": "date",
    105. "format": "yyyy-MM-dd HH:mm:ss.SSS"
    106. },
    107. "endRexxxgTime": {
    108. "type": "date",
    109. "format": "yyyy-MM-dd HH:mm:ss.SSS"
    110. },
    111. "resolxxxdTime": {
    112. "type": "date",
    113. "format": "yyyy-MM-dd HH:mm:ss.SSS"
    114. },
    115. "getFxxxTime": {
    116. "type": "date",
    117. "format": "yyyy-MM-dd HH:mm:ss.SSS"
    118. },
    119. "getFixxxTime": {
    120. "type": "date",
    121. "format": "yyyy-MM-dd HH:mm:ss.SSS"
    122. },
    123. "resoxxxnTime": {
    124. "type": "date",
    125. "format": "yyyy-MM-dd HH:mm:ss.SSS"
    126. },
    127. "resxxxndTime": {
    128. "type": "date",
    129. "format": "yyyy-MM-dd HH:mm:ss.SSS"
    130. },
    131. "saveFixxxdTime": {
    132. "type": "date",
    133. "format": "yyyy-MM-dd HH:mm:ss.SSS"
    134. },
    135. "successNumber": {
    136. "type": "long"
    137. },
    138. "errorNumber": {
    139. "type": "long"
    140. },
    141. "buinessNumber": {
    142. "type": "long"
    143. },
    144. "descInfo": {
    145. "type": "text"
    146. }
    147. }
    148. }
    149. }

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  • 原文地址:https://blog.csdn.net/a310934797/article/details/133693553