docs: optimize document description
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@ -298,11 +298,11 @@ Parameters related to supertable creation are configured in the `super_tables` s
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- **csv_ts_interval**: String type, sets the time interval for splitting generated csv file names. Supports daily, hourly, minute, and second intervals such as 1d/2h/30m/40s. The default value is "1d".
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- **csv_output_header**: String type, sets whether the generated csv files should contain column header descriptions. The default value is "true".
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- **csv_output_header**: String type, sets whether the generated csv files should contain column header descriptions. The default value is "yes".
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- **csv_tbname_alias**: String type, sets the alias for the tbname field in the column header descriptions of csv files. The default value is "device_id".
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- **csv_compress_level**: String type, sets the compression level when generating csv files and automatically compressing them into gzip format. Possible values are:
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- **csv_compress_level**: String type, sets the compression level for generating csv-encoded data and automatically compressing it into gzip file. This process directly encodes and compresses the data, rather than first generating a csv file and then compressing it. Possible values are:
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- none: No compression
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- fast: gzip level 1 compression
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- balance: gzip level 6 compression
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@ -502,6 +502,17 @@ Note: Data types in the taosBenchmark configuration file must be in lowercase to
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</details>
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### Export CSV File Example
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<details>
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<summary>csv-export.json</summary>
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```json
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{{#include /TDengine/tools/taos-tools/example/csv-export.json}}
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```
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</details>
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Other json examples see [here](https://github.com/taosdata/TDengine/tree/main/tools/taos-tools/example)
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## Output Performance Indicators
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@ -93,7 +93,7 @@ taosBenchmark -f <json file>
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本节所列参数适用于所有功能模式。
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- **filetype**:功能分类,可选值为 `insert`、`query`、`subscribe` 和 `csvfile`。分别对应插入、查询、订阅和生成csv文件功能。每个配置文件中只能指定其中之一。
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- **filetype**:功能分类,可选值为 `insert`、`query`、`subscribe` 和 `csvfile`。分别对应插入、查询、订阅和生成 csv 文件功能。每个配置文件中只能指定其中之一。
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- **cfgdir**:TDengine 客户端配置文件所在的目录,默认路径是 /etc/taos 。
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@ -206,11 +206,11 @@ taosBenchmark -f <json file>
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- **csv_ts_interval**:字符串类型,设置生成的 csv 文件名称中时间段间隔,支持天、小时、分钟、秒级间隔,如 1d/2h/30m/40s,默认值为 1d 。
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- **csv_output_header**:字符串类型,设置生成的 csv 文件是否包含列头描述,默认值为 true 。
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- **csv_output_header**:字符串类型,设置生成的 csv 文件是否包含列头描述,默认值为 yes 。
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- **csv_tbname_alias**:字符串类型,设置 csv 文件列头描述中 tbname 字段的别名,默认值为 device_id 。
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- **csv_compress_level**:字符串类型,设置生成 csv 并自动压缩成 gzip 格式文件的压缩等级。可选值为:
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- **csv_compress_level**:字符串类型,设置生成 csv 编码数据并自动压缩成 gzip 格式文件的压缩等级。此过程直接编码并压缩,而非先生成 csv 文件再压缩。可选值为:
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- none:不压缩
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- fast:gzip 1级压缩
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- balance:gzip 6级压缩
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@ -410,6 +410,17 @@ interval 控制休眠时间,避免持续查询慢查询消耗 CPU,单位为
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</details>
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### 生成 CSV 文件 JSON 示例
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<details>
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<summary>csv-export.json</summary>
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```json
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{{#include /TDengine/tools/taos-tools/example/csv-export.json}}
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```
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</details>
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查看更多 json 配置文件示例可 [点击这里](https://github.com/taosdata/TDengine/tree/main/tools/taos-tools/example)
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## 输出性能指标
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@ -16,6 +16,7 @@ import csv
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import datetime
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import frame
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import frame.eos
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import frame.etool
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from frame.log import *
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from frame.cases import *
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@ -213,7 +214,7 @@ class TDTestCase(TBase):
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# exec
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cmd = f"{benchmark} {options} -f {jsonFile}"
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os.system(cmd)
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eos.exe(cmd)
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# check result
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self.check_result(jsonFile)
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@ -19,7 +19,7 @@
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"childtable_from": 1000,
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"childtable_to": 1010,
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"csv_file_prefix": "data",
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"csv_output_header": "true",
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"csv_output_header": "yes",
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"csv_tbname_alias": "device_id",
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"csv_compress_level": "none",
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"columns": [
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@ -59,7 +59,7 @@
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"csv_file_prefix": "data",
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"csv_ts_format": "%Y%m%d",
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"csv_ts_interval": "1d",
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"csv_output_header": "true",
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"csv_output_header": "yes",
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"csv_tbname_alias": "device_id",
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"csv_compress_level": "none",
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"columns": [
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@ -98,7 +98,7 @@
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"childtable_from": 1000,
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"childtable_to": 1010,
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"csv_file_prefix": "data",
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"csv_output_header": "true",
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"csv_output_header": "yes",
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"csv_tbname_alias": "device_id",
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"csv_compress_level": "none",
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"columns": [
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@ -139,7 +139,7 @@
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"csv_file_prefix": "data",
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"csv_ts_format": "%Y%m%d",
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"csv_ts_interval": "1d",
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"csv_output_header": "true",
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"csv_output_header": "yes",
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"csv_tbname_alias": "device_id",
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"csv_compress_level": "none",
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"columns": [
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@ -0,0 +1,54 @@
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{
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"filetype": "csvfile",
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"output_path": "./csv/",
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"databases": [
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{
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"dbinfo": {
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"name": "csvdb",
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"precision": "ms"
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},
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"super_tables": [
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{
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"name": "table",
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"childtable_count": 1010,
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"insert_rows": 1000,
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"interlace_rows": 1,
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"childtable_prefix": "d",
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"timestamp_step": 1000000,
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"start_timestamp": "2020-10-01 00:00:00.000",
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"childtable_from": 1000,
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"childtable_to": 1010,
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"csv_file_prefix": "data",
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"csv_ts_format": "%Y%m%d",
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"csv_ts_interval": "1d",
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"csv_output_header": "true",
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"csv_tbname_alias": "device_id",
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"csv_compress_level": "none",
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"columns": [
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{ "type": "bool", "name": "bc"},
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{ "type": "float", "name": "fc", "min": 1},
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{ "type": "double", "name": "dc", "min":10, "max":10},
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{ "type": "tinyint", "name": "ti"},
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{ "type": "smallint", "name": "si"},
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{ "type": "int", "name": "ic", "fillNull":"false"},
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{ "type": "bigint", "name": "bi"},
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{ "type": "utinyint", "name": "uti"},
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{ "type": "usmallint", "name": "usi", "min":100, "max":120},
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{ "type": "uint", "name": "ui"},
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{ "type": "ubigint", "name": "ubi"},
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{ "type": "binary", "name": "bin", "len": 16},
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{ "type": "nchar", "name": "nch", "len": 16}
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],
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"tags": [
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{"type": "tinyint", "name": "groupid","max": 10,"min": 1},
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{"type": "binary", "name": "location", "len": 16,
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"values": ["San Francisco", "Los Angles", "San Diego",
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"San Jose", "Palo Alto", "Campbell", "Mountain View",
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"Sunnyvale", "Santa Clara", "Cupertino"]
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}
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]
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}
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]
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}
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]
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}
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@ -1434,9 +1434,9 @@ static int getStableInfo(tools_cJSON *dbinfos, int index) {
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superTable->csv_output_header = true;
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tools_cJSON* oph = tools_cJSON_GetObjectItem(stbInfo, "csv_output_header");
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if (oph && oph->type == tools_cJSON_String && oph->valuestring != NULL) {
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if (0 == strcasecmp(oph->valuestring, "yes") || 0 == strcasecmp(oph->valuestring, "true")) {
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if (0 == strcasecmp(oph->valuestring, "yes")) {
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superTable->csv_output_header = true;
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} else if (0 == strcasecmp(oph->valuestring, "no") || 0 == strcasecmp(oph->valuestring, "false")) {
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} else if (0 == strcasecmp(oph->valuestring, "no")) {
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superTable->csv_output_header = false;
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}
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}
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