Merge branch '3.0' into feature/TD-11274-3.0

This commit is contained in:
Cary Xu 2022-08-02 14:38:20 +08:00
commit 39dcfb5bd2
39 changed files with 673 additions and 174 deletions

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@ -40,6 +40,7 @@ def pre_test(){
git reset --hard
cd ${WKC}
git reset --hard
git clean -fxd
'''
script {
if (env.CHANGE_TARGET == 'master') {

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@ -2,7 +2,7 @@
# taosws-rs
ExternalProject_Add(taosws-rs
GIT_REPOSITORY https://github.com/taosdata/taosws-rs.git
GIT_TAG 9de599d
GIT_TAG 24b199e
SOURCE_DIR "${TD_SOURCE_DIR}/tools/taosws-rs"
BINARY_DIR ""
#BUILD_IN_SOURCE TRUE

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@ -4,7 +4,7 @@ sidebar_label: 文档首页
slug: /
---
TDengine是一款开源、[高性能](https://www.taosdata.com/fast)、云原生的专为物联网、工业互联网、金融等优化设计的时序数据库(Time-Series Database)。同时它还带有内建的缓存、流式计算、数据订阅等系统功能,能大幅减少系统设计的复杂度,降低研发和运营成本,是一极简的时序数据处理平台。本文档是 TDengine 用户手册,主要是介绍 TDengine 的基本概念、安装、使用、功能、开发接口、运营维护、TDengine 内核设计等等,它主要是面向架构师、开发者与系统管理员的。
TDengine是一款开源、[高性能](https://www.taosdata.com/fast)、云原生的时序数据库(Time-Series Database, TSDB), 它专为物联网、工业互联网、金融等场景优化设计。同时它还带有内建的缓存、流式计算、数据订阅等系统功能,能大幅减少系统设计的复杂度,降低研发和运营成本,是一极简的时序数据处理平台。本文档是 TDengine 用户手册,主要是介绍 TDengine 的基本概念、安装、使用、功能、开发接口、运营维护、TDengine 内核设计等等,它主要是面向架构师、开发者与系统管理员的。
TDengine 充分利用了时序数据的特点提出了“一个数据采集点一张表”与“超级表”的概念设计了创新的存储引擎让数据的写入、查询和存储效率都得到极大的提升。为正确理解并使用TDengine, 无论如何,请您仔细阅读[基本概念](./concept)一章。

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@ -3,7 +3,7 @@ title: 产品简介
toc_max_heading_level: 2
---
TDengine 是一款高性能、分布式、支持 SQL 的时序数据库 (Database)其核心代码包括集群功能全部开源开源协议AGPL v3.0。TDengine 能被广泛运用于物联网、工业互联网、车联网、IT 运维、金融等领域。除核心的时序数据库 (Database) 功能外TDengine 还提供[缓存](/develop/cache/)、[数据订阅](/develop/subscribe)、[流式计算](/develop/continuous-query)等大数据平台所需要的系列功能,最大程度减少研发和运维的复杂度
TDengine 是一款开源、高性能、云原生的时序数据库 (Time-Series Database, TSDB)。TDengine 能被广泛运用于物联网、工业互联网、车联网、IT 运维、金融等领域。除核心的时序数据库功能外TDengine 还提供[缓存](/develop/cache/)、[数据订阅](/develop/subscribe)、[流式计算](/develop/continuous-query)等功能,是一极简的时序数据处理平台,最大程度的减小系统设计的复杂度,降低研发和运营成本
本章节介绍TDengine的主要功能、竞争优势、适用场景、与其他数据库的对比测试等等让大家对TDengine有个整体的了解。
@ -16,7 +16,7 @@ TDengine的主要功能如下
3. 支持[各种查询](/develop/query-data),包括聚合查询、嵌套查询、降采样查询、插值等
4. 支持[用户自定义函数](/develop/udf)
5. 支持[缓存](/develop/cache),将每张表的最后一条记录缓存起来,这样无需 Redis
6. 支持[连续查询](/develop/continuous-query)(Continuous Query)
6. 支持[流式计算](/develop/continuous-query)(Stream Processing)
7. 支持[数据订阅](/develop/subscribe),而且可以指定过滤条件
8. 支持[集群](/cluster/),可以通过多节点进行水平扩展,并通过多副本实现高可靠
9. 提供[命令行程序](/reference/taos-shell),便于管理集群,检查系统状态,做即席查询
@ -33,28 +33,24 @@ TDengine的主要功能如下
由于 TDengine 充分利用了[时序数据特点](https://www.taosdata.com/blog/2019/07/09/105.html)比如结构化、无需事务、很少删除或更新、写多读少等等设计了全新的针对时序数据的存储引擎和计算引擎因此与其他时序数据库相比TDengine 有以下特点:
- **[高性能](https://www.taosdata.com/fast)**通过创新的存储引擎设计无论是数据写入还是查询TDengine 的性能比通用数据库快 10 倍以上,也远超其他时序数据库,而且存储空间也大为节省
- **高性能**通过创新的存储引擎设计无论是数据写入还是查询TDengine 的性能比通用数据库快 10 倍以上,也远超其他时序数据库,存储空间不及通用数据库的1/10
- **[分布式](https://www.taosdata.com/scalable)**通过原生分布式的设计TDengine 提供了水平扩展的能力,只需要增加节点就能获得更强的数据处理能力,同时通过多副本机制保证了系统的高可用
- **云原生**通过原生分布式的设计充分利用云平台的优势TDengine 提供了水平扩展能力具备弹性、韧性和可观测性支持k8s部署可运行在公有云、私有云和混合云上
- **[支持 SQL](https://www.taosdata.com/sql-support)**TDengine 采用 SQL 作为数据查询语言,减少学习和迁移成本,同时提供 SQL 扩展来处理时序数据特有的分析,而且支持方便灵活的 schemaless 数据写入
- **极简时序数据平台**TDengine 内建消息队列、缓存、流式计算等功能,应用无需再集成 Kafka/Redis/HBase/Spark 等软件,大幅降低系统的复杂度,降低应用开发和运营成本
- **All in One**:将数据库、消息队列、缓存、流式计算等功能融合一起,应用无需再集成 Kafka/Redis/HBase/Spark 等软件,大幅降低应用开发和维护成本
- **分析能力**:支持 SQL同时为时序数据特有的分析提供SQL扩展。通过超级表、存储计算分离、分区分片、预计算、自定义函数等技术TDengine 具备强大的分析能力
- **零管理**:安装、集群几秒搞定,无任何依赖,不用分库分表,系统运行状态监测能与 Grafana 或其他运维工具无缝集成
- **简单易用**无任何依赖安装、集群几秒搞定提供REST以及各种语言连接器与众多第三方工具无缝集成提供命令行程序便于管理和即席查询提供各种运维工具
- **零学习成本**:采用 SQL 查询语言,支持 C/C++、Python、Java、Go、Rust、Node.js、C#、Lua社区贡献、PHP社区贡献 等多种编程语言,与 MySQL 相似,零学习成本。
- **无缝集成**:不用一行代码,即可与 Telegraf、Grafana、Prometheus、EMQX、HiveMQ、StatsD、collectd、icinga、TCollector、Matlab、R 等第三方工具无缝集成。
- **互动 Console**: 通过命令行 console不用编程执行 SQL 语句就能做即席查询、各种数据库的操作、管理以及集群的维护.
- **核心开源**TDengine 的核心代码包括集群功能全部开源截止到2022年8月1日全球超过 135.9k 个运行实例GitHub Star 18.7kFork 4.4k,社区活跃。
采用 TDengine可将典型的物联网、车联网、工业互联网大数据平台的总拥有成本大幅降低。表现在几个方面
1. 由于其超强性能,它能将系统需要的计算资源和存储资源大幅降低
2. 因为采用 SQL 接口,能与众多第三方软件无缝集成,学习迁移成本大幅下降
3. 因为其 All In One 的特性,系统复杂度降低,能降研发成本
4. 因为运维维护简单,运营维护成本能大幅降低
2. 因为支持 SQL,能与众多第三方软件无缝集成,学习迁移成本大幅下降
3. 因为是一极简的时序数据平台,系统复杂度、研发和运营成本大幅降低
4. 因为维护简单,运营维护成本能大幅降低
## 技术生态

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@ -184,6 +184,7 @@ static FORCE_INLINE void colDataAppendDouble(SColumnInfoData* pColumnInfoData, u
int32_t getJsonValueLen(const char* data);
int32_t colDataAppend(SColumnInfoData* pColumnInfoData, uint32_t currentRow, const char* pData, bool isNull);
int32_t colDataAppendNItems(SColumnInfoData* pColumnInfoData, uint32_t currentRow, const char* pData, uint32_t numOfRows);
int32_t colDataMergeCol(SColumnInfoData* pColumnInfoData, int32_t numOfRow1, int32_t* capacity,
const SColumnInfoData* pSource, int32_t numOfRow2);
int32_t colDataAssign(SColumnInfoData* pColumnInfoData, const SColumnInfoData* pSource, int32_t numOfRows,

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@ -22,6 +22,9 @@ extern "C" {
#include "os.h"
#include "taoserror.h"
#ifdef GRANTS_CFG
#include "tgrantCfg.h"
#endif
typedef enum {
TSDB_GRANT_ALL,
@ -37,10 +40,38 @@ typedef enum {
TSDB_GRANT_CONNS,
TSDB_GRANT_STREAMS,
TSDB_GRANT_CPU_CORES,
TSDB_GRANT_STABLE,
TSDB_GRANT_TABLE,
} EGrantType;
int32_t grantCheck(EGrantType grant);
#ifndef GRANTS_CFG
#define GRANTS_SCHEMA static const SSysDbTableSchema grantsSchema[] = { \
{.name = "version", .bytes = 9 + VARSTR_HEADER_SIZE, .type = TSDB_DATA_TYPE_VARCHAR}, \
{.name = "expire time", .bytes = 19 + VARSTR_HEADER_SIZE, .type = TSDB_DATA_TYPE_VARCHAR}, \
{.name = "expired", .bytes = 5 + VARSTR_HEADER_SIZE, .type = TSDB_DATA_TYPE_VARCHAR}, \
{.name = "storage(GB)", .bytes = 21 + VARSTR_HEADER_SIZE, .type = TSDB_DATA_TYPE_VARCHAR}, \
{.name = "timeseries", .bytes = 21 + VARSTR_HEADER_SIZE, .type = TSDB_DATA_TYPE_VARCHAR}, \
{.name = "databases", .bytes = 10 + VARSTR_HEADER_SIZE, .type = TSDB_DATA_TYPE_VARCHAR}, \
{.name = "users", .bytes = 10 + VARSTR_HEADER_SIZE, .type = TSDB_DATA_TYPE_VARCHAR}, \
{.name = "accounts", .bytes = 10 + VARSTR_HEADER_SIZE, .type = TSDB_DATA_TYPE_VARCHAR}, \
{.name = "dnodes", .bytes = 10 + VARSTR_HEADER_SIZE, .type = TSDB_DATA_TYPE_VARCHAR}, \
{.name = "connections", .bytes = 11 + VARSTR_HEADER_SIZE, .type = TSDB_DATA_TYPE_VARCHAR}, \
{.name = "streams", .bytes = 9 + VARSTR_HEADER_SIZE, .type = TSDB_DATA_TYPE_VARCHAR}, \
{.name = "cpu cores", .bytes = 9 + VARSTR_HEADER_SIZE, .type = TSDB_DATA_TYPE_VARCHAR}, \
{.name = "speed(PPS)", .bytes = 9 + VARSTR_HEADER_SIZE, .type = TSDB_DATA_TYPE_VARCHAR}, \
{.name = "querytime", .bytes = 9 + VARSTR_HEADER_SIZE, .type = TSDB_DATA_TYPE_VARCHAR}, \
}
#define GRANT_CFG_ADD
#define GRANT_CFG_SET
#define GRANT_CFG_GET
#define GRANT_CFG_CHECK
#define GRANT_CFG_SKIP
#define GRANT_CFG_DECLARE
#define GRANT_CFG_EXTERN
#endif
#ifdef __cplusplus
}
#endif

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@ -28,10 +28,10 @@ extern bool gRaftDetailLog;
#define SYNC_RESP_TTL_MS 10000000
#define SYNC_MAX_BATCH_SIZE 500
#define SYNC_INDEX_BEGIN 0
#define SYNC_INDEX_INVALID -1
#define SYNC_TERM_INVALID 0xFFFFFFFFFFFFFFFF
#define SYNC_MAX_BATCH_SIZE 1
#define SYNC_INDEX_BEGIN 0
#define SYNC_INDEX_INVALID -1
#define SYNC_TERM_INVALID 0xFFFFFFFFFFFFFFFF
typedef enum {
SYNC_STRATEGY_NO_SNAPSHOT = 0,

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@ -406,6 +406,8 @@ int32_t* taosGetErrno();
#define TSDB_CODE_GRANT_STORAGE_LIMITED TAOS_DEF_ERROR_CODE(0, 0x0809)
#define TSDB_CODE_GRANT_QUERYTIME_LIMITED TAOS_DEF_ERROR_CODE(0, 0x080A)
#define TSDB_CODE_GRANT_CPU_LIMITED TAOS_DEF_ERROR_CODE(0, 0x080B)
#define TSDB_CODE_GRANT_STABLE_LIMITED TAOS_DEF_ERROR_CODE(0, 0x080C)
#define TSDB_CODE_GRANT_TABLE_LIMITED TAOS_DEF_ERROR_CODE(0, 0x080D)
// sync
#define TSDB_CODE_SYN_TIMEOUT TAOS_DEF_ERROR_CODE(0, 0x0903)

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@ -1,14 +1,24 @@
aux_source_directory(src COMMON_SRC)
add_library(common STATIC ${COMMON_SRC})
if (DEFINED GRANT_CFG_INCLUDE_DIR)
add_definitions(-DGRANTS_CFG)
endif()
target_include_directories(
common
PUBLIC "${TD_SOURCE_DIR}/include/common"
PRIVATE "${CMAKE_CURRENT_SOURCE_DIR}/inc"
IF(${TD_WINDOWS})
PRIVATE "${TD_SOURCE_DIR}/contrib/pthread"
PRIVATE "${TD_SOURCE_DIR}/contrib/msvcregex"
ENDIF ()
PRIVATE "${GRANT_CFG_INCLUDE_DIR}"
)
IF(${TD_WINDOWS})
target_include_directories(
common
PRIVATE "${TD_SOURCE_DIR}/contrib/pthread"
PRIVATE "${TD_SOURCE_DIR}/contrib/msvcregex"
)
ENDIF ()
target_link_libraries(
common
PUBLIC os

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@ -17,6 +17,7 @@
#include "taos.h"
#include "tdef.h"
#include "types.h"
#include "tgrant.h"
#define SYSTABLE_SCH_TABLE_NAME_LEN ((TSDB_TABLE_NAME_LEN - 1) + VARSTR_HEADER_SIZE)
#define SYSTABLE_SCH_DB_NAME_LEN ((TSDB_DB_NAME_LEN - 1) + VARSTR_HEADER_SIZE)
@ -188,22 +189,7 @@ static const SSysDbTableSchema userUsersSchema[] = {
{.name = "create_time", .bytes = 8, .type = TSDB_DATA_TYPE_TIMESTAMP},
};
static const SSysDbTableSchema grantsSchema[] = {
{.name = "version", .bytes = 9 + VARSTR_HEADER_SIZE, .type = TSDB_DATA_TYPE_VARCHAR},
{.name = "expire time", .bytes = 19 + VARSTR_HEADER_SIZE, .type = TSDB_DATA_TYPE_VARCHAR},
{.name = "expired", .bytes = 5 + VARSTR_HEADER_SIZE, .type = TSDB_DATA_TYPE_VARCHAR},
{.name = "storage(GB)", .bytes = 21 + VARSTR_HEADER_SIZE, .type = TSDB_DATA_TYPE_VARCHAR},
{.name = "timeseries", .bytes = 21 + VARSTR_HEADER_SIZE, .type = TSDB_DATA_TYPE_VARCHAR},
{.name = "databases", .bytes = 10 + VARSTR_HEADER_SIZE, .type = TSDB_DATA_TYPE_VARCHAR},
{.name = "users", .bytes = 10 + VARSTR_HEADER_SIZE, .type = TSDB_DATA_TYPE_VARCHAR},
{.name = "accounts", .bytes = 10 + VARSTR_HEADER_SIZE, .type = TSDB_DATA_TYPE_VARCHAR},
{.name = "dnodes", .bytes = 10 + VARSTR_HEADER_SIZE, .type = TSDB_DATA_TYPE_VARCHAR},
{.name = "connections", .bytes = 11 + VARSTR_HEADER_SIZE, .type = TSDB_DATA_TYPE_VARCHAR},
{.name = "streams", .bytes = 9 + VARSTR_HEADER_SIZE, .type = TSDB_DATA_TYPE_VARCHAR},
{.name = "cpu cores", .bytes = 9 + VARSTR_HEADER_SIZE, .type = TSDB_DATA_TYPE_VARCHAR},
{.name = "speed(PPS)", .bytes = 9 + VARSTR_HEADER_SIZE, .type = TSDB_DATA_TYPE_VARCHAR},
{.name = "querytime", .bytes = 9 + VARSTR_HEADER_SIZE, .type = TSDB_DATA_TYPE_VARCHAR},
};
GRANTS_SCHEMA;
static const SSysDbTableSchema vgroupsSchema[] = {
{.name = "vgroup_id", .bytes = 4, .type = TSDB_DATA_TYPE_INT},

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@ -118,6 +118,76 @@ int32_t colDataAppend(SColumnInfoData* pColumnInfoData, uint32_t currentRow, con
return 0;
}
int32_t colDataReserve(SColumnInfoData* pColumnInfoData, size_t newSize) {
if (!IS_VAR_DATA_TYPE(pColumnInfoData->info.type)) {
return TSDB_CODE_SUCCESS;
}
if (pColumnInfoData->varmeta.allocLen >= newSize) {
return TSDB_CODE_SUCCESS;
}
if (pColumnInfoData->varmeta.allocLen < newSize) {
char* buf = taosMemoryRealloc(pColumnInfoData->pData, newSize);
if (buf == NULL) {
return TSDB_CODE_OUT_OF_MEMORY;
}
pColumnInfoData->pData = buf;
pColumnInfoData->varmeta.allocLen = newSize;
}
return TSDB_CODE_SUCCESS;
}
static void doCopyNItems(struct SColumnInfoData* pColumnInfoData, int32_t currentRow, const char* pData, int32_t itemLen, int32_t numOfRows) {
ASSERT(pColumnInfoData->info.bytes >= itemLen);
size_t start = 1;
// the first item
memcpy(pColumnInfoData->pData, pData, itemLen);
int32_t t = 0;
int32_t count = log(numOfRows)/log(2);
while(t < count) {
int32_t xlen = 1 << t;
memcpy(pColumnInfoData->pData + start * itemLen + pColumnInfoData->varmeta.length, pColumnInfoData->pData, xlen * itemLen);
t += 1;
start += xlen;
}
// the tail part
if (numOfRows > start) {
memcpy(pColumnInfoData->pData + start * itemLen + currentRow * itemLen, pColumnInfoData->pData, (numOfRows - start) * itemLen);
}
if (IS_VAR_DATA_TYPE(pColumnInfoData->info.type)) {
for(int32_t i = 0; i < numOfRows; ++i) {
pColumnInfoData->varmeta.offset[i + currentRow] = pColumnInfoData->varmeta.length + i * itemLen;
}
pColumnInfoData->varmeta.length += numOfRows * itemLen;
}
}
int32_t colDataAppendNItems(SColumnInfoData* pColumnInfoData, uint32_t currentRow, const char* pData, uint32_t numOfRows) {
ASSERT(pData != NULL && pColumnInfoData != NULL);
int32_t len = pColumnInfoData->info.bytes;
if (IS_VAR_DATA_TYPE(pColumnInfoData->info.type)) {
len = varDataTLen(pData);
if (pColumnInfoData->varmeta.allocLen < (numOfRows + currentRow) * len) {
int32_t code = colDataReserve(pColumnInfoData, (numOfRows + currentRow) * len);
if (code != TSDB_CODE_SUCCESS) {
return code;
}
}
}
doCopyNItems(pColumnInfoData, currentRow, pData, len, numOfRows);
return TSDB_CODE_SUCCESS;
}
static void doBitmapMerge(SColumnInfoData* pColumnInfoData, int32_t numOfRow1, const SColumnInfoData* pSource,
int32_t numOfRow2) {
if (numOfRow2 <= 0) return;
@ -1113,15 +1183,12 @@ static int32_t doEnsureCapacity(SColumnInfoData* pColumn, const SDataBlockInfo*
void colInfoDataCleanup(SColumnInfoData* pColumn, uint32_t numOfRows) {
if (IS_VAR_DATA_TYPE(pColumn->info.type)) {
pColumn->varmeta.length = 0;
if (pColumn->varmeta.offset > 0) {
if (pColumn->varmeta.offset != NULL) {
memset(pColumn->varmeta.offset, 0, sizeof(int32_t) * numOfRows);
}
} else {
if (pColumn->nullbitmap != NULL) {
memset(pColumn->nullbitmap, 0, BitmapLen(numOfRows));
if (pColumn->pData != NULL) {
memset(pColumn->pData, 0, pColumn->info.bytes * numOfRows);
}
}
}
}
@ -1725,6 +1792,7 @@ char* dumpBlockData(SSDataBlock* pDataBlock, const char* flag, char** pDataBuf)
}
switch (pColInfoData->info.type) {
case TSDB_DATA_TYPE_TIMESTAMP:
memset(pBuf, 0, sizeof(pBuf));
formatTimestamp(pBuf, *(uint64_t*)var, TSDB_TIME_PRECISION_MILLI);
len += snprintf(dumpBuf + len, size - len, " %25s |", pBuf);
if (len >= size - 1) return dumpBuf;
@ -1753,6 +1821,26 @@ char* dumpBlockData(SSDataBlock* pDataBlock, const char* flag, char** pDataBuf)
len += snprintf(dumpBuf + len, size - len, " %15lf |", *(double*)var);
if (len >= size - 1) return dumpBuf;
break;
case TSDB_DATA_TYPE_BOOL:
len += snprintf(dumpBuf + len, size - len, " %15d |", *(bool*)var);
if (len >= size - 1) return dumpBuf;
break;
case TSDB_DATA_TYPE_VARCHAR: {
memset(pBuf, 0, sizeof(pBuf));
char* pData = colDataGetVarData(pColInfoData, j);
int32_t dataSize = TMIN(sizeof(pBuf), varDataLen(pData));
memcpy(pBuf, varDataVal(pData), dataSize);
len += snprintf(dumpBuf + len, size - len, " %15s |", pBuf);
if (len >= size - 1) return dumpBuf;
} break;
case TSDB_DATA_TYPE_NCHAR: {
char* pData = colDataGetVarData(pColInfoData, j);
int32_t dataSize = TMIN(sizeof(pBuf), varDataLen(pData));
memset(pBuf, 0, sizeof(pBuf));
taosUcs4ToMbs((TdUcs4 *)varDataVal(pData), dataSize, pBuf);
len += snprintf(dumpBuf + len, size - len, " %15s |", pBuf);
if (len >= size - 1) return dumpBuf;
} break;
}
}
len += snprintf(dumpBuf + len, size - len, "\n");

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@ -19,6 +19,9 @@
#include "tconfig.h"
#include "tdatablock.h"
#include "tlog.h"
#include "tgrant.h"
GRANT_CFG_DECLARE;
SConfig *tsCfg = NULL;
@ -441,6 +444,7 @@ static int32_t taosAddServerCfg(SConfig *pCfg) {
if (cfgAddInt32(pCfg, "ttlPushInterval", tsTtlPushInterval, 1, 100000, 1) != 0) return -1;
if (cfgAddBool(pCfg, "udf", tsStartUdfd, 0) != 0) return -1;
GRANT_CFG_ADD;
return 0;
}
@ -590,7 +594,7 @@ static int32_t taosSetServerCfg(SConfig *pCfg) {
if (tsQueryBufferSize >= 0) {
tsQueryBufferSizeBytes = tsQueryBufferSize * 1048576UL;
}
GRANT_CFG_GET;
return 0;
}
@ -603,6 +607,7 @@ void taosLocalCfgForbiddenToChange(char* name, bool* forbidden) {
*forbidden = true;
return;
}
GRANT_CFG_CHECK;
*forbidden = false;
}

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@ -1,8 +1,12 @@
aux_source_directory(src MGMT_DNODE)
add_library(mgmt_dnode STATIC ${MGMT_DNODE})
if (DEFINED GRANT_CFG_INCLUDE_DIR)
add_definitions(-DGRANTS_CFG)
endif()
target_include_directories(
mgmt_dnode
PUBLIC "${CMAKE_CURRENT_SOURCE_DIR}/inc"
PUBLIC "${GRANT_CFG_INCLUDE_DIR}"
)
target_link_libraries(
mgmt_dnode node_util

View File

@ -16,6 +16,7 @@
#define _DEFAULT_SOURCE
#include "dmInt.h"
#include "systable.h"
#include "tgrant.h"
extern SConfig *tsCfg;
@ -223,6 +224,7 @@ int32_t dmAppendVariablesToBlock(SSDataBlock *pBlock, int32_t dnodeId) {
for (int32_t i = 0, c = 0; i < numOfCfg; ++i, c = 0) {
SConfigItem *pItem = taosArrayGet(tsCfg->array, i);
GRANT_CFG_SKIP;
SColumnInfoData *pColInfo = taosArrayGet(pBlock->pDataBlock, c++);
colDataAppend(pColInfo, i, (const char *)&dnodeId, false);

View File

@ -146,7 +146,8 @@ static int32_t doMergeRowsInFileBlocks(SBlockData* pBlockData, STableBlockScanI
static int32_t doMergeRowsInBuf(SIterInfo* pIter, uint64_t uid, int64_t ts, SArray* pDelList, SRowMerger* pMerger,
STsdbReader* pReader);
static int32_t doAppendRowFromTSRow(SSDataBlock* pBlock, STsdbReader* pReader, STSRow* pTSRow);
static int32_t doAppendRowFromBlock(SSDataBlock* pResBlock, STsdbReader* pReader, SBlockData* pBlockData, int32_t rowIndex);
static int32_t doAppendRowFromBlock(SSDataBlock* pResBlock, STsdbReader* pReader, SBlockData* pBlockData,
int32_t rowIndex);
static void setComposedBlockFlag(STsdbReader* pReader, bool composed);
static void updateSchema(TSDBROW* pRow, uint64_t uid, STsdbReader* pReader);
static bool hasBeenDropped(const SArray* pDelList, int32_t* index, TSDBKEY* pKey, int32_t order);
@ -758,7 +759,7 @@ static int32_t copyBlockDataToSDataBlock(STsdbReader* pReader, STableBlockScanIn
pReader->cost.blockLoadTime += elapsedTime;
int32_t unDumpedRows = asc ? pBlock->nRow - pDumpInfo->rowIndex : pDumpInfo->rowIndex + 1;
tsdbDebug("%p load file block into buffer, global index:%d, table index:%d, brange:%" PRId64 "-%" PRId64
tsdbDebug("%p copy file block to sdatablock, global index:%d, table index:%d, brange:%" PRId64 "-%" PRId64
", rows:%d, remain:%d, minVer:%" PRId64 ", maxVer:%" PRId64 ", elapsed time:%.2f ms, %s",
pReader, pBlockIter->index, pFBlock->tbBlockIdx, pBlock->minKey.ts, pBlock->maxKey.ts, remain, unDumpedRows,
pBlock->minVersion, pBlock->maxVersion, elapsedTime, pReader->idStr);
@ -1444,9 +1445,9 @@ static int32_t buildComposedDataBlockImpl(STsdbReader* pReader, STableBlockScanI
// 2. the direct next point is not an duplicated timestamp
if ((pDumpInfo->rowIndex < pDumpInfo->totalRows - 1 && pReader->order == TSDB_ORDER_ASC) ||
(pDumpInfo->rowIndex > 0 && pReader->order == TSDB_ORDER_DESC)) {
int32_t step = pReader->order == TSDB_ORDER_ASC? 1:-1;
int32_t step = pReader->order == TSDB_ORDER_ASC ? 1 : -1;
int64_t nextKey = pBlockData->aTSKEY[pDumpInfo->rowIndex + step];
if (nextKey != key) { // merge is not needed
if (nextKey != key) { // merge is not needed
doAppendRowFromBlock(pReader->pResBlock, pReader, pBlockData, pDumpInfo->rowIndex);
pDumpInfo->rowIndex += step;
return TSDB_CODE_SUCCESS;
@ -2134,15 +2135,18 @@ int32_t doMergeRowsInBuf(SIterInfo* pIter, uint64_t uid, int64_t ts, SArray* pDe
int32_t sversion = TSDBROW_SVERSION(pRow);
STSchema* pTSchema = NULL;
if (sversion != pReader->pSchema->version) {
if (pReader->pSchema == NULL || sversion != pReader->pSchema->version) {
metaGetTbTSchemaEx(pReader->pTsdb->pVnode->pMeta, pReader->suid, uid, sversion, &pTSchema);
if (pReader->pSchema == NULL) {
pReader->pSchema = pTSchema;
}
} else {
pTSchema = pReader->pSchema;
}
tRowMergerAdd(pMerger, pRow, pTSchema);
if (sversion != pReader->pSchema->version) {
if (pTSchema != pReader->pSchema) {
taosMemoryFree(pTSchema);
}
}
@ -2230,7 +2234,7 @@ int32_t doMergeRowsInFileBlocks(SBlockData* pBlockData, STableBlockScanInfo* pSc
int32_t step = asc ? 1 : -1;
pDumpInfo->rowIndex += step;
if ((pDumpInfo->rowIndex <= pBlockData->nRow - 1 && asc) ||(pDumpInfo->rowIndex >= 0 && !asc)) {
if ((pDumpInfo->rowIndex <= pBlockData->nRow - 1 && asc) || (pDumpInfo->rowIndex >= 0 && !asc)) {
pDumpInfo->rowIndex =
doMergeRowsInFileBlockImpl(pBlockData, pDumpInfo->rowIndex, key, pMerger, &pReader->verRange, step);
}
@ -2271,8 +2275,11 @@ void doMergeMultiRows(TSDBROW* pRow, uint64_t uid, SIterInfo* pIter, SArray* pDe
// updateSchema(pRow, uid, pReader);
int32_t sversion = TSDBROW_SVERSION(pRow);
STSchema* pTSchema = NULL;
if (sversion != pReader->pSchema->version) {
if (pReader->pSchema == NULL || sversion != pReader->pSchema->version) {
metaGetTbTSchemaEx(pReader->pTsdb->pVnode->pMeta, pReader->suid, uid, sversion, &pTSchema);
if (pReader->pSchema == NULL) {
pReader->pSchema = pTSchema;
}
} else {
pTSchema = pReader->pSchema;
}
@ -2282,7 +2289,7 @@ void doMergeMultiRows(TSDBROW* pRow, uint64_t uid, SIterInfo* pIter, SArray* pDe
tRowMergerGetRow(&merge, pTSRow);
tRowMergerClear(&merge);
if (sversion != pReader->pSchema->version) {
if (pTSchema != pReader->pSchema) {
taosMemoryFree(pTSchema);
}
}
@ -2425,9 +2432,9 @@ int32_t doAppendRowFromBlock(SSDataBlock* pResBlock, STsdbReader* pReader, SBloc
int32_t numOfInputCols = taosArrayGetSize(pBlockData->aIdx);
int32_t numOfOutputCols = blockDataGetNumOfCols(pResBlock);
while(i < numOfOutputCols && j < numOfInputCols) {
while (i < numOfOutputCols && j < numOfInputCols) {
SColumnInfoData* pCol = taosArrayGet(pResBlock->pDataBlock, i);
SColData* pData = tBlockDataGetColDataByIdx(pBlockData, j);
SColData* pData = tBlockDataGetColDataByIdx(pBlockData, j);
if (pData->cid == pCol->info.colId) {
tColDataGetValue(pData, rowIndex, &cv);

View File

@ -695,7 +695,7 @@ int32_t vnodeSyncOpen(SVnode *pVnode, char *path) {
SSyncInfo syncInfo = {
.snapshotStrategy = SYNC_STRATEGY_WAL_FIRST,
//.snapshotStrategy = SYNC_STRATEGY_NO_SNAPSHOT,
.batchSize = 10,
.batchSize = 1,
.vgId = pVnode->config.vgId,
.isStandBy = pVnode->config.standby,
.syncCfg = pVnode->config.syncCfg,

View File

@ -416,6 +416,7 @@ typedef struct SCtgCacheOperation {
bool syncOp;
tsem_t rspSem;
bool stopQueue;
bool unLocked;
} SCtgCacheOperation;
typedef struct SCtgQNode {

View File

@ -674,7 +674,13 @@ int32_t ctgEnqueue(SCatalog* pCtg, SCtgCacheOperation *operation) {
tsem_post(&gCtgMgmt.queue.reqSem);
if (syncOp) {
if (!operation->unLocked) {
CTG_UNLOCK(CTG_READ, &gCtgMgmt.lock);
}
tsem_wait(&operation->rspSem);
if (!operation->unLocked) {
CTG_LOCK(CTG_READ, &gCtgMgmt.lock);
}
taosMemoryFree(operation);
}
@ -1011,6 +1017,7 @@ int32_t ctgClearCacheEnqueue(SCatalog* pCtg, bool freeCtg, bool stopQueue, bool
op->opId = CTG_OP_CLEAR_CACHE;
op->syncOp = syncOp;
op->stopQueue = stopQueue;
op->unLocked = true;
SCtgClearCacheMsg *msg = taosMemoryMalloc(sizeof(SCtgClearCacheMsg));
if (NULL == msg) {

View File

@ -19,7 +19,7 @@
#include "catalogInt.h"
extern SCatalogMgmt gCtgMgmt;
SCtgDebug gCTGDebug = {0};
SCtgDebug gCTGDebug = {.lockEnable = true};
void ctgdUserCallback(SMetaData* pResult, void* param, int32_t code) {
ASSERT(*(int32_t*)param == 1);

View File

@ -331,7 +331,7 @@ int32_t ctgHandleMsgCallback(void *param, SDataBuf *pMsg, int32_t rspCode) {
SHashObj* pBatchs = taosHashInit(CTG_DEFAULT_BATCH_NUM, taosGetDefaultHashFunction(TSDB_DATA_TYPE_INT), false, HASH_NO_LOCK);
if (NULL == pBatchs) {
ctgError("taosHashInit %d batch failed", CTG_DEFAULT_BATCH_NUM);
CTG_ERR_RET(TSDB_CODE_OUT_OF_MEMORY);
CTG_ERR_JRET(TSDB_CODE_OUT_OF_MEMORY);
}
pTask->pBatchs = pBatchs;
#endif

View File

@ -19,6 +19,7 @@
#include "scheduler.h"
#include "tdatablock.h"
#include "tglobal.h"
#include "tgrant.h"
extern SConfig* tsCfg;
@ -563,7 +564,7 @@ int32_t setLocalVariablesResultIntoDataBlock(SSDataBlock* pBlock) {
for (int32_t i = 0, c = 0; i < numOfCfg; ++i, c = 0) {
SConfigItem* pItem = taosArrayGet(tsCfg->array, i);
GRANT_CFG_SKIP;
char name[TSDB_CONFIG_OPTION_LEN + VARSTR_HEADER_SIZE] = {0};
STR_WITH_MAXSIZE_TO_VARSTR(name, pItem->name, TSDB_CONFIG_OPTION_LEN + VARSTR_HEADER_SIZE);
SColumnInfoData* pColInfo = taosArrayGet(pBlock->pDataBlock, c++);

View File

@ -917,9 +917,8 @@ SOperatorInfo* createStreamFinalIntervalOperatorInfo(SOperatorInfo* downstream,
SOperatorInfo* createStreamIntervalOperatorInfo(SOperatorInfo* downstream, SExprInfo* pExprInfo, int32_t numOfCols,
SSDataBlock* pResBlock, SInterval* pInterval, int32_t primaryTsSlotId,
STimeWindowAggSupp *pTwAggSupp, SExecTaskInfo* pTaskInfo);
SOperatorInfo* createSessionAggOperatorInfo(SOperatorInfo* downstream, SExprInfo* pExprInfo, int32_t numOfCols,
SSDataBlock* pResBlock, int64_t gap, int32_t tsSlotId, STimeWindowAggSupp* pTwAggSupp,
SNode* pCondition, SExecTaskInfo* pTaskInfo);
SOperatorInfo* createSessionAggOperatorInfo(SOperatorInfo* downstream, SSessionWinodwPhysiNode* pSessionNode,
SExecTaskInfo* pTaskInfo);
SOperatorInfo* createGroupOperatorInfo(SOperatorInfo* downstream, SExprInfo* pExprInfo, int32_t numOfCols,
SSDataBlock* pResultBlock, SArray* pGroupColList, SNode* pCondition,
SExprInfo* pScalarExprInfo, int32_t numOfScalarExpr, SExecTaskInfo* pTaskInfo);

View File

@ -571,6 +571,10 @@ SExprInfo* createExprInfo(SNodeList* pNodeList, SNodeList* pGroupKeys, int32_t*
}
*numOfExprs = numOfFuncs + numOfGroupKeys;
if (*numOfExprs == 0) {
return NULL;
}
SExprInfo* pExprs = taosMemoryCalloc(*numOfExprs, sizeof(SExprInfo));
for (int32_t i = 0; i < (*numOfExprs); ++i) {

View File

@ -4171,16 +4171,7 @@ SOperatorInfo* createOperatorTree(SPhysiNode* pPhyNode, SExecTaskInfo* pTaskInfo
pOptr = createMultiwayMergeOperatorInfo(ops, size, pMergePhyNode, pTaskInfo);
} else if (QUERY_NODE_PHYSICAL_PLAN_MERGE_SESSION == type) {
SSessionWinodwPhysiNode* pSessionNode = (SSessionWinodwPhysiNode*)pPhyNode;
STimeWindowAggSupp as = {.waterMark = pSessionNode->window.watermark,
.calTrigger = pSessionNode->window.triggerType};
SExprInfo* pExprInfo = createExprInfo(pSessionNode->window.pFuncs, NULL, &num);
SSDataBlock* pResBlock = createResDataBlock(pPhyNode->pOutputDataBlockDesc);
int32_t tsSlotId = ((SColumnNode*)pSessionNode->window.pTspk)->slotId;
pOptr = createSessionAggOperatorInfo(ops[0], pExprInfo, num, pResBlock, pSessionNode->gap, tsSlotId, &as,
pPhyNode->pConditions, pTaskInfo);
pOptr = createSessionAggOperatorInfo(ops[0], pSessionNode, pTaskInfo);
} else if (QUERY_NODE_PHYSICAL_PLAN_STREAM_SESSION == type) {
pOptr = createStreamSessionAggOperatorInfo(ops[0], pPhyNode, pTaskInfo);
} else if (QUERY_NODE_PHYSICAL_PLAN_STREAM_SEMI_SESSION == type) {

View File

@ -405,9 +405,15 @@ int32_t addTagPseudoColumnData(SReadHandle* pHandle, SExprInfo* pPseudoExpr, int
data = (char*)p;
}
for (int32_t i = 0; i < pBlock->info.rows; ++i) {
colDataAppend(pColInfoData, i, data,
(data == NULL) || (pColInfoData->info.type == TSDB_DATA_TYPE_JSON && tTagIsJsonNull(data)));
bool isNullVal = (data == NULL) || (pColInfoData->info.type == TSDB_DATA_TYPE_JSON && tTagIsJsonNull(data));
if (isNullVal) {
colDataAppendNNULL(pColInfoData, 0, pBlock->info.rows);
} else if (pColInfoData->info.type != TSDB_DATA_TYPE_JSON) {
colDataAppendNItems(pColInfoData, 0, data, pBlock->info.rows);
} else { // todo opt for json tag
for (int32_t i = 0; i < pBlock->info.rows; ++i) {
colDataAppend(pColInfoData, i, data, false);
}
}
if (data && (pColInfoData->info.type != TSDB_DATA_TYPE_JSON) && p != NULL &&

View File

@ -152,7 +152,7 @@ SSDataBlock* loadNextDataBlock(void* param) {
void applyScalarFunction(SSDataBlock* pBlock, void* param) {
SOperatorInfo* pOperator = param;
SSortOperatorInfo* pSort = pOperator->info;
if (pOperator->exprSupp.pExprInfo != NULL) {
if (pOperator->exprSupp.pExprInfo != NULL && pOperator->exprSupp.numOfExprs > 0) {
int32_t code = projectApplyFunctions(pOperator->exprSupp.pExprInfo, pBlock, pBlock, pOperator->exprSupp.pCtx,
pOperator->exprSupp.numOfExprs, NULL);
if (code != TSDB_CODE_SUCCESS) {

View File

@ -2439,12 +2439,14 @@ void destroySWindowOperatorInfo(void* param, int32_t numOfOutput) {
SSessionAggOperatorInfo* pInfo = (SSessionAggOperatorInfo*)param;
cleanupBasicInfo(&pInfo->binfo);
colDataDestroy(&pInfo->twAggSup.timeWindowData);
cleanupAggSup(&pInfo->aggSup);
cleanupGroupResInfo(&pInfo->groupResInfo);
taosMemoryFreeClear(param);
}
SOperatorInfo* createSessionAggOperatorInfo(SOperatorInfo* downstream, SExprInfo* pExprInfo, int32_t numOfCols,
SSDataBlock* pResBlock, int64_t gap, int32_t tsSlotId,
STimeWindowAggSupp* pTwAggSupp, SNode* pCondition,
SOperatorInfo* createSessionAggOperatorInfo(SOperatorInfo* downstream, SSessionWinodwPhysiNode* pSessionNode,
SExecTaskInfo* pTaskInfo) {
SSessionAggOperatorInfo* pInfo = taosMemoryCalloc(1, sizeof(SSessionAggOperatorInfo));
SOperatorInfo* pOperator = taosMemoryCalloc(1, sizeof(SOperatorInfo));
@ -2455,6 +2457,10 @@ SOperatorInfo* createSessionAggOperatorInfo(SOperatorInfo* downstream, SExprInfo
size_t keyBufSize = sizeof(int64_t) + sizeof(int64_t) + POINTER_BYTES;
initResultSizeInfo(&pOperator->resultInfo, 4096);
int32_t numOfCols = 0;
SExprInfo* pExprInfo = createExprInfo(pSessionNode->window.pFuncs, NULL, &numOfCols);
SSDataBlock* pResBlock = createResDataBlock(pSessionNode->window.node.pOutputDataBlockDesc);
int32_t code = initAggInfo(&pOperator->exprSupp, &pInfo->aggSup, pExprInfo, numOfCols, keyBufSize, pTaskInfo->id.str);
if (code != TSDB_CODE_SUCCESS) {
goto _error;
@ -2462,16 +2468,19 @@ SOperatorInfo* createSessionAggOperatorInfo(SOperatorInfo* downstream, SExprInfo
initBasicInfo(&pInfo->binfo, pResBlock);
pInfo->twAggSup = *pTwAggSupp;
pInfo->twAggSup.waterMark = pSessionNode->window.watermark;
pInfo->twAggSup.calTrigger = pSessionNode->window.triggerType;
pInfo->gap = pSessionNode->gap;
initResultRowInfo(&pInfo->binfo.resultRowInfo);
initExecTimeWindowInfo(&pInfo->twAggSup.timeWindowData, &pTaskInfo->window);
pInfo->tsSlotId = tsSlotId;
pInfo->gap = gap;
pInfo->binfo.pRes = pResBlock;
pInfo->tsSlotId = ((SColumnNode*)pSessionNode->window.pTspk)->slotId;
pInfo->binfo.pRes = pResBlock;
pInfo->winSup.prevTs = INT64_MIN;
pInfo->reptScan = false;
pInfo->pCondition = pCondition;
pInfo->reptScan = false;
pInfo->pCondition = pSessionNode->window.node.pConditions;
pOperator->name = "SessionWindowAggOperator";
pOperator->operatorType = QUERY_NODE_PHYSICAL_PLAN_MERGE_SESSION;
pOperator->blocking = true;

View File

@ -81,10 +81,8 @@ static int32_t addNamespace(STranslateContext* pCxt, void* pTable) {
SArray* pTables = taosArrayGetP(pCxt->pNsLevel, pCxt->currLevel);
taosArrayPush(pTables, &pTable);
if (hasSameTableAlias(pTables)) {
return generateSyntaxErrMsgExt(&pCxt->msgBuf,
TSDB_CODE_PAR_NOT_UNIQUE_TABLE_ALIAS,
"Not unique table/alias: '%s'",
((STableNode*)pTable)->tableAlias);
return generateSyntaxErrMsgExt(&pCxt->msgBuf, TSDB_CODE_PAR_NOT_UNIQUE_TABLE_ALIAS,
"Not unique table/alias: '%s'", ((STableNode*)pTable)->tableAlias);
}
} else {
do {
@ -92,10 +90,8 @@ static int32_t addNamespace(STranslateContext* pCxt, void* pTable) {
if (pCxt->currLevel == currTotalLevel) {
taosArrayPush(pTables, &pTable);
if (hasSameTableAlias(pTables)) {
return generateSyntaxErrMsgExt(&pCxt->msgBuf,
TSDB_CODE_PAR_NOT_UNIQUE_TABLE_ALIAS,
"Not unique table/alias: '%s'",
((STableNode*)pTable)->tableAlias);
return generateSyntaxErrMsgExt(&pCxt->msgBuf, TSDB_CODE_PAR_NOT_UNIQUE_TABLE_ALIAS,
"Not unique table/alias: '%s'", ((STableNode*)pTable)->tableAlias);
}
}
taosArrayPush(pCxt->pNsLevel, &pTables);
@ -1587,6 +1583,7 @@ static EDealRes rewriteExprToGroupKeyFunc(STranslateContext* pCxt, SNode** pNode
strcpy(pFunc->functionName, "_group_key");
strcpy(pFunc->node.aliasName, ((SExprNode*)*pNode)->aliasName);
strcpy(pFunc->node.userAlias, ((SExprNode*)*pNode)->userAlias);
pCxt->errCode = nodesListMakeAppend(&pFunc->pParameterList, *pNode);
if (TSDB_CODE_SUCCESS == pCxt->errCode) {
*pNode = (SNode*)pFunc;
@ -2644,27 +2641,6 @@ static int32_t appendTsForImplicitTsFunc(STranslateContext* pCxt, SSelectStmt* p
return pCxt->errCode;
}
typedef struct SRwriteUniqueCxt {
STranslateContext* pTranslateCxt;
SNode* pExpr;
} SRwriteUniqueCxt;
static EDealRes rewriteSeletcValueFunc(STranslateContext* pCxt, SNode** pNode) {
SFunctionNode* pFirst = (SFunctionNode*)nodesMakeNode(QUERY_NODE_FUNCTION);
if (NULL == pFirst) {
pCxt->errCode = TSDB_CODE_OUT_OF_MEMORY;
return DEAL_RES_ERROR;
}
strcpy(pFirst->functionName, "first");
TSWAP(pFirst->pParameterList, ((SFunctionNode*)*pNode)->pParameterList);
strcpy(pFirst->node.aliasName, ((SExprNode*)*pNode)->aliasName);
nodesDestroyNode(*pNode);
*pNode = (SNode*)pFirst;
pCxt->errCode = fmGetFuncInfo(pFirst, pCxt->msgBuf.buf, pCxt->msgBuf.len);
((SSelectStmt*)pCxt->pCurrStmt)->hasAggFuncs = true;
return TSDB_CODE_SUCCESS == pCxt->errCode ? DEAL_RES_IGNORE_CHILD : DEAL_RES_ERROR;
}
typedef struct SReplaceOrderByAliasCxt {
STranslateContext* pTranslateCxt;
SNodeList* pProjectionList;

View File

@ -1727,16 +1727,11 @@ int32_t qTbnameFunction(SScalarParam *pInput, int32_t inputNum, SScalarParam *pO
char str[TSDB_TABLE_FNAME_LEN + VARSTR_HEADER_SIZE] = {0};
metaGetTableNameByUid(pInput->param, uid, str);
for(int32_t i = 0; i < pInput->numOfRows; ++i) {
colDataAppend(pOutput->columnData, pOutput->numOfRows + i, str, false);
}
colDataAppendNItems(pOutput->columnData, pOutput->numOfRows, str, pInput->numOfRows);
pOutput->numOfRows += pInput->numOfRows;
return TSDB_CODE_SUCCESS;
}
/** Aggregation functions **/
int32_t countScalarFunction(SScalarParam *pInput, int32_t inputNum, SScalarParam *pOutput) {
SColumnInfoData *pInputData = pInput->columnData;

View File

@ -658,7 +658,6 @@ static void cliDestroyConn(SCliConn* conn, bool clear) {
QUEUE_REMOVE(&conn->q);
QUEUE_INIT(&conn->q);
transRemoveExHandle(transGetRefMgt(), conn->refId);
transDestroyBuffer(&conn->readBuf);
conn->refId = -1;
if (conn->task != NULL) transDQCancel(((SCliThrd*)conn->hostThrd)->timeoutQueue, conn->task);
@ -685,7 +684,7 @@ static void cliDestroy(uv_handle_t* handle) {
transQueueDestroy(&conn->cliMsgs);
tTrace("%s conn %p destroy successfully", CONN_GET_INST_LABEL(conn), conn);
transReqQueueClear(&conn->wreqQueue);
transDestroyBuffer(&conn->readBuf);
taosMemoryFree(conn);
}
static bool cliHandleNoResp(SCliConn* conn) {

View File

@ -830,7 +830,6 @@ static void destroyConn(SSvrConn* conn, bool clear) {
return;
}
transDestroyBuffer(&conn->readBuf);
if (clear) {
if (!uv_is_closing((uv_handle_t*)conn->pTcp)) {
tTrace("conn %p to be destroyed", conn);
@ -881,6 +880,7 @@ static void uvDestroyConn(uv_handle_t* handle) {
QUEUE_REMOVE(&conn->queue);
taosMemoryFree(conn->pTcp);
destroyConnRegArg(conn);
transDestroyBuffer(&conn->readBuf);
taosMemoryFree(conn);
if (thrd->quit && QUEUE_IS_EMPTY(&thrd->conn)) {

View File

@ -31,6 +31,7 @@ void swapStr(char* j, char* J, int width) {
}
#endif
// todo refactor: 1) move away; 2) use merge sort instead; 3) qsort is not a stable sort actually.
void taosSort(void* arr, int64_t sz, int64_t width, __compar_fn_t compar) {
#ifdef WINDOWS
int64_t i, j;

View File

@ -1,10 +1,15 @@
configure_file("${CMAKE_CURRENT_SOURCE_DIR}/src/version.c.in" "${CMAKE_CURRENT_SOURCE_DIR}/src/version.c")
aux_source_directory(src UTIL_SRC)
add_library(util STATIC ${UTIL_SRC})
if (DEFINED GRANT_CFG_INCLUDE_DIR)
add_definitions(-DGRANTS_CFG)
endif()
target_include_directories(
util
PUBLIC "${TD_SOURCE_DIR}/include/util"
PRIVATE "${CMAKE_CURRENT_SOURCE_DIR}/inc"
PRIVATE "${TD_SOURCE_DIR}/include/common"
PRIVATE "${GRANT_CFG_INCLUDE_DIR}"
)
target_link_libraries(
util

View File

@ -21,6 +21,7 @@
#include "tenv.h"
#include "cJSON.h"
#include "tjson.h"
#include "tgrant.h"
#define CFG_NAME_PRINT_LEN 24
#define CFG_SRC_PRINT_LEN 12
@ -301,6 +302,7 @@ static int32_t cfgSetTfsItem(SConfig *pCfg, const char *name, const char *value,
}
int32_t cfgSetItem(SConfig *pCfg, const char *name, const char *value, ECfgSrcType stype) {
GRANT_CFG_SET;
SConfigItem *pItem = cfgGetItem(pCfg, name);
if (pItem == NULL) {
return -1;

View File

@ -0,0 +1,290 @@
# from asyncio.windows_events import NULL
import taos
import sys
import datetime
import inspect
import random
from util.log import *
from util.sql import *
from util.cases import *
from util.cluster import *
from util.common import *
sys.path.append("./6-cluster/")
from clusterCommonCreate import *
from clusterCommonCheck import clusterComCheck
import threading
class TDTestCase:
clientCfgDict = {'queryproxy': '1','debugFlag': 135}
clientCfgDict["debugFlag"] = 131
updatecfgDict = {'clientCfg': {}}
updatecfgDict = {'debugFlag': 131}
updatecfgDict = {'keepColumnName': 1}
updatecfgDict["clientCfg"] = clientCfgDict
def init(self, conn, logSql):
tdLog.debug(f"start to excute {__file__}")
tdSql.init(conn.cursor(), True)
def create_ctable(self,tsql=None, dbName='dbx',stbName='stb',ctbPrefix='ctb',ctbNum=1):
tsql.execute("use %s" %dbName)
pre_create = "create table"
sql = pre_create
#tdLog.debug("doing create one stable %s and %d child table in %s ..." %(stbname, count ,dbname))
for i in range(ctbNum):
tagValue = 'beijing'
if (i % 10 == 0):
sql += " %s%d using %s (name,fleet,driver,device_version) tags('truck_%d', 'South%d','Trish%d','v2.%d')"%(ctbPrefix,i,stbName,i,i,i,i)
else:
model = 'H-%d'%i
sql += " %s%d using %s tags('truck_%d', 'South%d','Trish%d','%s','v2.%d')"%(ctbPrefix,i,stbName,i,i,i,model,i)
if (i > 0) and (i%1000 == 0):
tsql.execute(sql)
sql = pre_create
if sql != pre_create:
tsql.execute(sql)
tdLog.debug("complete to create %d child tables in %s.%s" %(ctbNum, dbName, stbName))
return
def prepareData(self):
dbname="db_tsbs"
stabname1="readings"
stabname2="diagnostics"
ctbnamePre1="rct"
ctbnamePre2="dct"
ctbNums=40
self.ctbNums=ctbNums
rowNUms=100
ts=1451606400000
tdSql.execute(f"create database {dbname};")
tdSql.execute(f"use {dbname} ")
tdSql.execute(f'''
create table {stabname1} (ts timestamp,latitude double,longitude double,elevation double,velocity double,heading double,grade double,fuel_consumption double,load_capacity double,fuel_capacity double,nominal_fuel_consumption double) tags (name binary(30),fleet binary(30),driver binary(30),model binary(30),device_version binary(30));
''')
tdSql.execute(f'''
create table {stabname2} (ts timestamp,fuel_state double,current_load double,status bigint,load_capacity double,fuel_capacity double,nominal_fuel_consumption double) tags (name binary(30),fleet binary(30),driver binary(30),model binary(30),device_version binary(30)) ;
''')
self.create_ctable(tsql=tdSql,dbName=dbname,stbName=stabname1,ctbPrefix=ctbnamePre1,ctbNum=ctbNums)
self.create_ctable(tsql=tdSql,dbName=dbname,stbName=stabname2,ctbPrefix=ctbnamePre2,ctbNum=ctbNums)
for j in range(ctbNums):
for i in range(rowNUms):
tdSql.execute(
f"insert into rct{j} values ( {ts+i*60000}, {80+i}, {90+i}, {85+i}, {30+i*10}, {1.2*i}, {221+i*2}, {20+i*0.2}, {1500+i*20}, {150+i*2},{5+i} )"
)
status= random.randint(0,1)
tdSql.execute(
f"insert into dct{j} values ( {ts+i*60000}, {1+i*0.1},{1400+i*15}, {status},{1500+i*20}, {150+i*2},{5+i} )"
)
tdSql.execute("insert into dct9 (ts,fuel_state) values('2021-07-13 14:06:33.123Z',1.2) ;")
# def check_avg(self ,origin_query , check_query):
# avg_result = tdSql.getResult(origin_query)
# origin_result = tdSql.getResult(check_query)
# check_status = True
# for row_index , row in enumerate(avg_result):
# for col_index , elem in enumerate(row):
# if avg_result[row_index][col_index] != origin_result[row_index][col_index]:
# check_status = False
# if not check_status:
# tdLog.notice("avg function value has not as expected , sql is \"%s\" "%origin_query )
# sys.exit(1)
# else:
# tdLog.info("avg value check pass , it work as expected ,sql is \"%s\" "%check_query )
def createCluster(self):
tdSql.execute("create mnode on dnode 2")
tdSql.execute("create mnode on dnode 3")
tdSql.execute("create qnode on dnode 1")
tdSql.execute("create qnode on dnode 2")
tdSql.execute("create qnode on dnode 3")
time.sleep(10)
def tsbsIotQuery(self,tdSql):
tdSql.execute("use db_tsbs")
# test interval and partition
tdSql.query(" SELECT avg(velocity) as mean_velocity ,name,driver,fleet FROM readings WHERE ts > 1451606400000 AND ts <= 1451606460000 partition BY name,driver,fleet; ")
# print(tdSql.queryResult)
parRows=tdSql.queryRows
tdSql.query(" SELECT avg(velocity) as mean_velocity ,name,driver,fleet FROM readings WHERE ts > 1451606400000 AND ts <= 1451606460000 partition BY name,driver,fleet interval(10m); ")
tdSql.checkRows(parRows)
# # test insert into
# tdSql.execute("create table testsnode (ts timestamp, c1 float,c2 binary(30),c3 binary(30),c4 binary(30)) ;")
# tdSql.query("insert into testsnode SELECT ts,avg(velocity) as mean_velocity,name,driver,fleet FROM readings WHERE ts > 1451606400000 AND ts <= 1451606460000 partition BY name,driver,fleet,ts interval(10m);")
# tdSql.query("insert into testsnode(ts,c1,c2,c3,c4) SELECT ts,avg(velocity) as mean_velocity,name,driver,fleet FROM readings WHERE ts > 1451606400000 AND ts <= 1451606460000 partition BY name,driver,fleet,ts interval(10m);")
# test paitition interval fill
tdSql.query("SELECT name,floor(avg(velocity)/10)/floor(avg(velocity)/10) AS mv FROM readings WHERE name!='' AND ts > '2016-01-01T00:00:00Z' AND ts < '2016-01-05T00:00:01Z' partition by name interval(10m) fill(value,0) ;")
# test partition interval limit (PRcore-TD-17410)
tdSql.query("select name,driver from (SELECT name,driver,fleet ,avg(velocity) as mean_velocity FROM readings partition BY name,driver,fleet interval (10m) limit 1);")
tdSql.checkRows(self.ctbNums)
# test partition interval Pseudo time-column
tdSql.query("SELECT count(ms1)/144 FROM (SELECT _wstart as ts1,model, fleet,avg(status) AS ms1 FROM diagnostics WHERE ts >= '2016-01-01T00:00:00Z' AND ts < '2016-01-05T00:00:01Z' partition by model, fleet interval(10m)) WHERE ts1 >= '2016-01-01T00:00:00Z' AND ts1 < '2016-01-05T00:00:01Z' AND ms1<1;")
# 1 high-load:
tdSql.query("SELECT ts,name,driver,current_load,load_capacity FROM (SELECT last(ts) as ts,name,driver, current_load,load_capacity FROM diagnostics WHERE fleet = 'South' partition by name,driver) WHERE current_load>= (0.9 * load_capacity) partition by name ORDER BY name desc, ts DESC;")
tdSql.query("SELECT ts,name,driver,current_load,load_capacity FROM (SELECT last(ts) as ts,name,driver, current_load,load_capacity FROM diagnostics WHERE fleet = 'South' partition by name,driver) WHERE current_load>= (0.9 * load_capacity) partition by name ORDER BY name ;")
# 2 stationary-trucks
tdSql.query("select name,driver from (SELECT name,driver,fleet ,avg(velocity) as mean_velocity FROM readings WHERE ts > '2016-01-01T15:07:21Z' AND ts <= '2016-01-01T16:17:21Z' partition BY name,driver,fleet interval(10m) LIMIT 1)")
tdSql.query("select name,driver from (SELECT name,driver,fleet ,avg(velocity) as mean_velocity FROM readings WHERE ts > '2016-01-01T15:07:21Z' AND ts <= '2016-01-01T16:17:21Z' partition BY name,driver,fleet interval(10m) LIMIT 1) WHERE fleet = 'West' AND mean_velocity < 1000 partition BY name")
# 3 long-driving-sessions
tdSql.query("SELECT name,driver FROM(SELECT name,driver,count(*) AS ten_min FROM(SELECT _wstart as ts,name,driver,avg(velocity) as mean_velocity FROM readings where ts > '2016-01-01T00:00:34Z' AND ts <= '2016-01-01T04:00:34Z' partition BY name,driver interval(10m)) WHERE mean_velocity > 1 GROUP BY name,driver) WHERE ten_min > 22 ;")
#4 long-daily-sessions
tdSql.query("SELECT name,driver FROM(SELECT name,driver,count(*) AS ten_min FROM(SELECT name,driver,avg(velocity) as mean_velocity FROM readings WHERE fleet ='West' AND ts > '2016-01-01T12:31:37Z' AND ts <= '2016-01-05T12:31:37Z' partition BY name,driver interval(10m) ) WHERE mean_velocity > 1 GROUP BY name,driver) WHERE ten_min > 60")
# 5. avg-daily-driving-duration
tdSql.query("select _wstart as ts,fleet,name,driver,count(mv)/6 as hours_driven from ( select _wstart as ts,fleet,name,driver,avg(velocity) as mv from readings where ts > '2016-01-01T00:00:00Z' and ts < '2016-01-05T00:00:01Z' partition by fleet,name,driver interval(10m)) where ts > '2016-01-01T00:00:00Z' and ts < '2016-01-05T00:00:01Z' partition by fleet,name,driver interval(1d) ;")
# # 6. avg-daily-driving-session
# #taosc core dumped
# tdSql.execute("create table random_measure2_1 (ts timestamp,ela float, name binary(40))")
# tdSql.query("SELECT ts,diff(mv) AS difka FROM (SELECT ts,name,floor(avg(velocity)/10)/floor(avg(velocity)/10) AS mv FROM readings WHERE name!='' AND ts > '2016-01-01T00:00:00Z' AND ts < '2016-01-05T00:00:01Z' partition by name,ts interval(10m) fill(value,0)) GROUP BY name,ts;")
# tdSql.query("select name,diff(mv) AS difka FROM (SELECT ts,name,mv FROM (SELECT _wstart as ts,name,floor(avg(velocity)/10)/floor(avg(velocity)/10) AS mv FROM readings WHERE name!='' AND ts > '2016-01-01T00:00:00Z' AND ts < '2016-01-05T00:00:01Z' partition by name interval(10m) fill(value,0))) group BY name ;")
# tdSql.query("SELECT _wstart,name,floor(avg(velocity)/10)/floor(avg(velocity)/10) AS mv FROM readings WHERE name!='' AND ts > '2016-01-01T00:00:00Z' AND ts < '2016-01-05T00:00:01Z' partition by name interval(10m) fill(value,0)")
# 7. avg-load
tdSql.query("SELECT fleet, model,avg(ml) AS mean_load_percentage FROM (SELECT fleet, model,current_load/load_capacity AS ml FROM diagnostics partition BY name, fleet, model) partition BY fleet, model order by fleet ;")
# 8. daily-activity
tdSql.query(" SELECT model,ms1 FROM (SELECT _wstart as ts1,model, fleet,avg(status) AS ms1 FROM diagnostics WHERE ts >= '2016-01-01T00:00:00Z' AND ts < '2016-01-05T00:00:01Z' partition by model, fleet interval(10m) fill(value,0)) WHERE ts1 >= '2016-01-01T00:00:00Z' AND ts1 < '2016-01-05T00:00:01Z' AND ms1<1;")
tdSql.query(" SELECT model,ms1 FROM (SELECT _wstart as ts1,model, fleet,avg(status) AS ms1 FROM diagnostics WHERE ts >= '2016-01-01T00:00:00Z' AND ts < '2016-01-05T00:00:01Z' partition by model, fleet interval(10m) ) WHERE ts1 >= '2016-01-01T00:00:00Z' AND ts1 < '2016-01-05T00:00:01Z' AND ms1<1;")
tdSql.query("SELECT _wstart,model,fleet,count(ms1)/144 FROM (SELECT _wstart as ts1,model, fleet,avg(status) AS ms1 FROM diagnostics WHERE ts >= '2016-01-01T00:00:00Z' AND ts < '2016-01-05T00:00:01Z' partition by model, fleet interval(10m) fill(value,0)) WHERE ts1 >= '2016-01-01T00:00:00Z' AND ts1 < '2016-01-05T00:00:01Z' AND ms1<1 partition by model, fleet interval(1d) ;")
tdSql.query("SELECT _wstart as ts,model,fleet,count(ms1)/144 FROM (SELECT _wstart as ts1,model, fleet,avg(status) AS ms1 FROM diagnostics WHERE ts >= '2016-01-01T00:00:00Z' AND ts < '2016-01-05T00:00:01Z' partition by model, fleet interval(10m) ) WHERE ts1 >= '2016-01-01T00:00:00Z' AND ts1 < '2016-01-05T00:00:01Z' AND ms1<1 partition by model, fleet interval(1d) ;")
# 9. breakdown-frequency
# NULL ---count(NULL)=0 expect count(NULL)= 100
tdSql.query("SELECT model,state_changed,count(state_changed) FROM (SELECT model,diff(broken_down) AS state_changed FROM (SELECT _wstart,model,cast(cast(floor(2*(sum(nzs)/count(nzs))) as bool) as int) AS broken_down FROM (SELECT ts,model, cast(cast(status as bool) as int) AS nzs FROM diagnostics WHERE ts >= '2016-01-01T00:00:00Z' AND ts < '2016-01-05T00:00:01Z' ) WHERE ts >= '2016-01-01T00:00:00Z' AND ts < '2016-01-05T00:00:01Z' partition BY model interval(10m)) partition BY model) where model is null partition BY model,state_changed ")
parRows=tdSql.queryRows
assert parRows != 0 , "query result is wrong"
tdSql.query(" SELECT model,state_changed,count(state_changed) FROM (SELECT model,diff(broken_down) AS state_changed FROM (SELECT _wstart,model,cast(cast(floor(2*(sum(nzs)/count(nzs))) as bool) as int) AS broken_down FROM (SELECT ts,model, cast(cast(status as bool) as int) AS nzs FROM diagnostics WHERE ts >= '2016-01-01T00:00:00Z' AND ts < '2016-01-05T00:00:01Z' ) WHERE ts >= '2016-01-01T00:00:00Z' AND ts < '2016-01-05T00:00:01Z' partition BY model interval(10m)) partition BY model) where state_changed =1 partition BY model,state_changed ;")
#it's already supported:
# last-loc
tdSql.query("SELECT last_row(ts),latitude,longitude,name,driver FROM readings WHERE fleet='South' and name IS NOT NULL partition BY name,driver order by name ;")
#2. low-fuel
tdSql.query("SELECT last_row(ts),name,driver,fuel_state,driver FROM diagnostics WHERE fuel_state <= 0.1 AND fleet = 'South' and name IS NOT NULL GROUP BY name,driver order by name;")
# 3. avg-vs-projected-fuel-consumption
tdSql.query("select avg(fuel_consumption) as avg_fuel_consumption,avg(nominal_fuel_consumption) as nominal_fuel_consumption from readings where velocity > 1 group by fleet")
def restartFunc(self,func_name,threadNumbers,dnodeNumbers,mnodeNums,restartNumbers,stopRole):
tdLog.printNoPrefix("======== test case 1: ")
paraDict = {'dbName': 'db',
'dbNumbers': 8,
'dropFlag': 1,
'event': '',
'vgroups': 2,
'replica': 1,
'stbName': 'stb',
'stbNumbers': 100,
'colPrefix': 'c',
'tagPrefix': 't',
'colSchema': [{'type': 'INT', 'count':1}, {'type': 'binary', 'len':20, 'count':1}],
'tagSchema': [{'type': 'INT', 'count':1}, {'type': 'binary', 'len':20, 'count':1}],
'ctbPrefix': 'ctb',
'ctbNum': 1,
}
dnodeNumbers=int(dnodeNumbers)
mnodeNums=int(mnodeNums)
vnodeNumbers = int(dnodeNumbers-mnodeNums)
tdSql.query("show dnodes;")
tdLog.debug(tdSql.queryResult)
clusterComCheck.checkDnodes(dnodeNumbers)
tdLog.info("create database and stable")
tdDnodes=cluster.dnodes
stopcount =0
threads=[]
for i in range(threadNumbers):
newTdSql=tdCom.newTdSql()
print("123")
threads.append(threading.Thread(target=func_name,args=(newTdSql,)))
print("456")
for tr in threads:
tr.start()
tdLog.info("Take turns stopping %s "%stopRole)
while stopcount < restartNumbers:
tdLog.info(" restart loop: %d"%stopcount )
if stopRole == "mnode":
for i in range(mnodeNums):
tdDnodes[i].stoptaosd()
# sleep(10)
tdDnodes[i].starttaosd()
# sleep(10)
elif stopRole == "vnode":
for i in range(vnodeNumbers):
tdDnodes[i+mnodeNums].stoptaosd()
# sleep(10)
tdDnodes[i+mnodeNums].starttaosd()
# sleep(10)
elif stopRole == "dnode":
for i in range(dnodeNumbers):
tdDnodes[i].stoptaosd()
# sleep(10)
tdDnodes[i].starttaosd()
# sleep(10)
# dnodeNumbers don't include database of schema
if clusterComCheck.checkDnodes(dnodeNumbers):
tdLog.info("check dnodes status is ready")
else:
tdLog.info("check dnodes status is not ready")
self.stopThread(threads)
tdLog.exit("one or more of dnodes failed to start ")
# self.check3mnode()
stopcount+=1
for tr in threads:
tr.join()
def run(self):
tdLog.printNoPrefix("==========step1:create database and table,insert data ==============")
self.createCluster()
self.prepareData()
queryPolicy=2
simClientCfg="%s/taos.cfg"%tdDnodes.getSimCfgPath()
cmd='sed -i "s/^queryPolicy.*/queryPolicy 2/g" %s'%simClientCfg
os.system(cmd)
# self.tsbsIotQuery()
self.restartFunc(func_name=self.tsbsIotQuery,threadNumbers=3,dnodeNumbers=5,mnodeNums=3,restartNumbers=3,stopRole='mnode')
def stop(self):
tdSql.close()
tdLog.success(f"{__file__} successfully executed")
tdCases.addLinux(__file__, TDTestCase())
tdCases.addWindows(__file__, TDTestCase())

View File

@ -318,7 +318,6 @@ class TDTestCase:
os.system(cmd)
# tdDnodes.stop(1)
# tdDnodes.start(1)
tdSql.execute("reset query cache")
tdSql.execute('alter local "queryPolicy" "%d"'%queryPolicy)
tdSql.query("show local variables;")
for i in range(tdSql.queryRows):

View File

@ -1,3 +1,4 @@
# from asyncio.windows_events import NULL
import taos
import sys
import datetime
@ -21,38 +22,99 @@ class TDTestCase:
tdLog.debug(f"start to excute {__file__}")
tdSql.init(conn.cursor(), True)
def prepareData(self):
database="db_tsbs"
ts=1451606400000
tdSql.execute(f"create database {database};")
tdSql.execute(f"use {database} ")
tdSql.execute('''
create table readings (ts timestamp,latitude double,longitude double,elevation double,velocity double,heading double,grade double,fuel_consumption double,load_capacity double,fuel_capacity double,nominal_fuel_consumption double) tags (name binary(30),fleet binary(30),driver binary(30),model binary(30),device_version binary(30));
''')
tdSql.execute('''
create table diagnostics (ts timestamp,fuel_state double,current_load double,status bigint,load_capacity double,fuel_capacity double,nominal_fuel_consumption double) tags (name binary(30),fleet binary(30),driver binary(30),model binary(30),device_version binary(30)) ;
''')
def create_ctable(self,tsql=None, dbName='db',stbName='stb',ctbPrefix='ctb',ctbNum=1):
tsql.execute("use %s" %dbName)
pre_create = "create table"
sql = pre_create
#tdLog.debug("doing create one stable %s and %d child table in %s ..." %(stbname, count ,dbname))
for i in range(ctbNum):
tagValue = 'beijing'
if (i % 10 == 0):
sql += " %s%d using %s (name,fleet,driver,device_version) tags('truck_%d', 'South%d','Trish%d','v2.%d')"%(ctbPrefix,i,stbName,i,i,i,i)
else:
model = 'H-%d'%i
sql += " %s%d using %s tags('truck_%d', 'South%d','Trish%d','%s','v2.%d')"%(ctbPrefix,i,stbName,i,i,i,model,i)
if (i > 0) and (i%1000 == 0):
tsql.execute(sql)
sql = pre_create
if sql != pre_create:
tsql.execute(sql)
tdLog.debug("complete to create %d child tables in %s.%s" %(ctbNum, dbName, stbName))
return
for i in range(10):
if i == 1 or i == 2 :
tdLog.debug(f"create table rct{i} using readings (name,fleet,driver,model,device_version) tags ('truck_{i}','South{i}','Trish{i}', NULL,'v2.3')")
tdSql.execute(f"create table rct{i} using readings (name,fleet,driver,model,device_version) tags ('truck_{i}','South{i}','Trish{i}', NULL,'v2.3')")
else :
tdSql.execute(f"create table rct{i} using readings (name,fleet,driver,model,device_version) tags ('truck_{i}','South{i}','Trish{i}','H-{i}','v2.3')")
if i == 1 or i == 2 :
tdSql.execute(f"create table dct{i} using diagnostics (name,fleet,driver,model,device_version) tags ('truck_{i}','South{i}','Trish{i}',NULL ,'v2.3')")
else:
tdSql.execute(f"create table dct{i} using diagnostics (name,fleet,driver,model,device_version) tags ('truck_{i}','South{i}','Trish{i}','H-{i}','v2.3')")
for j in range(10):
for i in range(100):
tdSql.execute(
f"insert into rct{j} values ( {ts+i*60000}, {80+i}, {90+i}, {85+i}, {30+i*10}, {1.2*i}, {221+i*2}, {20+i*0.2}, {1500+i*20}, {150+i*2},{5+i} )"
)
status= random.randint(0,1)
tdSql.execute(
f"insert into dct{j} values ( {ts+i*60000}, {1+i*0.1},{1400+i*15}, {status},{1500+i*20}, {150+i*2},{5+i} )"
)
tdSql.execute("insert into dct9 (ts,fuel_state) values('2021-07-13 14:06:33.123Z',1.2) ;")
def insertData(self,startTs,tsql=None, dbName='db',stbName='stb',ctbPrefix='ctb',ctbNum=1,rowsPerTbl=100,batchNum=1000):
tsql.execute("use %s" %dbName)
pre_insert = "insert into "
sql = pre_insert
if startTs is None:
t = time.time()
startTs = int(round(t * 1000))
for i in range(ctbNum):
sql += " %s%d values "%(ctbPrefix,i)
for j in range(rowsPerTbl):
if(ctbPrefix=="rct"):
sql += f"({startTs+j*60000}, {80+j}, {90+j}, {85+j}, {30+j*10}, {1.2*j}, {221+j*2}, {20+j*0.2}, {1500+j*20}, {150+j*2},{5+j}) "
elif ( ctbPrefix=="dct"):
status= random.randint(0,1)
sql += f"( {startTs+j*60000}, {1+j*0.1},{1400+j*15}, {status},{1500+j*20}, {150+j*2},{5+j} ) "
# tdLog.debug("1insert sql:%s"%sql)
if (j > 0) and ((j%batchNum == 0) or (j == rowsPerTbl - 1)):
# tdLog.debug("2insert sql:%s"%sql)
tsql.execute(sql)
if j < rowsPerTbl - 1:
sql = "insert into %s%d values " %(ctbPrefix,i)
else:
sql = "insert into "
if sql != pre_insert:
# tdLog.debug("3insert sql:%s"%sql)
tsql.execute(sql)
tdLog.debug("insert data ............ [OK]")
return
def prepareData(self):
dbname="db_tsbs"
stabname1="readings"
stabname2="diagnostics"
ctbnamePre1="rct"
ctbnamePre2="dct"
ctbNums=40
self.ctbNums=ctbNums
rowNUms=200
ts=1451606400000
tdSql.execute(f"create database {dbname};")
tdSql.execute(f"use {dbname} ")
tdSql.execute(f'''
create table {stabname1} (ts timestamp,latitude double,longitude double,elevation double,velocity double,heading double,grade double,fuel_consumption double,load_capacity double,fuel_capacity double,nominal_fuel_consumption double) tags (name binary(30),fleet binary(30),driver binary(30),model binary(30),device_version binary(30));
''')
tdSql.execute(f'''
create table {stabname2} (ts timestamp,fuel_state double,current_load double,status bigint,load_capacity double,fuel_capacity double,nominal_fuel_consumption double) tags (name binary(30),fleet binary(30),driver binary(30),model binary(30),device_version binary(30)) ;
''')
self.create_ctable(tsql=tdSql,dbName=dbname,stbName=stabname1,ctbPrefix=ctbnamePre1,ctbNum=ctbNums)
self.create_ctable(tsql=tdSql,dbName=dbname,stbName=stabname2,ctbPrefix=ctbnamePre2,ctbNum=ctbNums)
self.insertData(tsql=tdSql,dbName=dbname,stbName=stabname1,ctbPrefix=ctbnamePre1,ctbNum=ctbNums,rowsPerTbl=rowNUms,startTs=ts,batchNum=1000)
self.insertData(tsql=tdSql,dbName=dbname,stbName=stabname2,ctbPrefix=ctbnamePre2,ctbNum=ctbNums,rowsPerTbl=rowNUms,startTs=ts,batchNum=1000)
# for i in range(ctbNum):
# if i %10 == 0 :
# # tdLog.debug(f"create table rct{i} using readings (name,fleet,driver,model,device_version) tags ('truck_{i}','South{i}','Trish{i}', NULL,'v2.3')")
# tdSql.execute(f"create table rct{i} using readings (name,fleet,driver,model,device_version) tags ('truck_{i}','South{i}','Trish{i}', NULL,'v2.3')")
# else :
# tdSql.execute(f"create table rct{i} using readings (name,fleet,driver,model,device_version) tags ('truck_{i}','South{i}','Trish{i}','H-{i}','v2.3')")
# if i %10 == 0 :
# tdSql.execute(f"create table dct{i} using diagnostics (name,fleet,driver,model,device_version) tags ('truck_{i}','South{i}','Trish{i}',NULL ,'v2.3')")
# else:
# tdSql.execute(f"create table dct{i} using diagnostics (name,fleet,driver,model,device_version) tags ('truck_{i}','South{i}','Trish{i}','H-{i}','v2.3')")
# for j in range(ctbNums):
# for i in range(rowNUms):
# tdSql.execute(
# f"insert into rct{j} values ( {ts+i*60000}, {80+i}, {90+i}, {85+i}, {30+i*10}, {1.2*i}, {221+i*2}, {20+i*0.2}, {1500+i*20}, {150+i*2},{5+i} )"
# )
# status= random.randint(0,1)
# tdSql.execute(
# f"insert into dct{j} values ( {ts+i*60000}, {1+i*0.1},{1400+i*15}, {status},{1500+i*20}, {150+i*2},{5+i} )"
# )
# tdSql.execute("insert into dct9 (ts,fuel_state) values('2021-07-13 14:06:33.123Z',1.2) ;")
# def check_avg(self ,origin_query , check_query):
# avg_result = tdSql.getResult(origin_query)
# origin_result = tdSql.getResult(check_query)
@ -75,7 +137,6 @@ class TDTestCase:
# test interval and partition
tdSql.query(" SELECT avg(velocity) as mean_velocity ,name,driver,fleet FROM readings WHERE ts > 1451606400000 AND ts <= 1451606460000 partition BY name,driver,fleet; ")
print(tdSql.queryResult)
parRows=tdSql.queryRows
tdSql.query(" SELECT avg(velocity) as mean_velocity ,name,driver,fleet FROM readings WHERE ts > 1451606400000 AND ts <= 1451606460000 partition BY name,driver,fleet interval(10m); ")
tdSql.checkRows(parRows)
@ -94,7 +155,7 @@ class TDTestCase:
# test partition interval limit (PRcore-TD-17410)
tdSql.query("select name,driver from (SELECT name,driver,fleet ,avg(velocity) as mean_velocity FROM readings partition BY name,driver,fleet interval (10m) limit 1);")
tdSql.checkRows(10)
tdSql.checkRows(self.ctbNums)
# test partition interval Pseudo time-column
tdSql.query("SELECT count(ms1)/144 FROM (SELECT _wstart as ts1,model, fleet,avg(status) AS ms1 FROM diagnostics WHERE ts >= '2016-01-01T00:00:00Z' AND ts < '2016-01-05T00:00:01Z' partition by model, fleet interval(10m)) WHERE ts1 >= '2016-01-01T00:00:00Z' AND ts1 < '2016-01-05T00:00:01Z' AND ms1<1;")
@ -136,17 +197,27 @@ class TDTestCase:
tdSql.query("SELECT _wstart,model,fleet,count(ms1)/144 FROM (SELECT _wstart as ts1,model, fleet,avg(status) AS ms1 FROM diagnostics WHERE ts >= '2016-01-01T00:00:00Z' AND ts < '2016-01-05T00:00:01Z' partition by model, fleet interval(10m) fill(value,0)) WHERE ts1 >= '2016-01-01T00:00:00Z' AND ts1 < '2016-01-05T00:00:01Z' AND ms1<1 partition by model, fleet interval(1d) ;")
tdSql.query("SELECT _wstart,model,fleet,count(ms1)/144 FROM (SELECT _wstart as ts1,model, fleet,avg(status) AS ms1 FROM diagnostics WHERE ts >= '2016-01-01T00:00:00Z' AND ts < '2016-01-05T00:00:01Z' partition by model, fleet interval(10m) ) WHERE ts1 >= '2016-01-01T00:00:00Z' AND ts1 < '2016-01-05T00:00:01Z' AND ms1<1 partition by model, fleet interval(1d) ;")
tdSql.query("SELECT _wstart as ts,model,fleet,count(ms1)/144 FROM (SELECT _wstart as ts1,model, fleet,avg(status) AS ms1 FROM diagnostics WHERE ts >= '2016-01-01T00:00:00Z' AND ts < '2016-01-05T00:00:01Z' partition by model, fleet interval(10m) ) WHERE ts1 >= '2016-01-01T00:00:00Z' AND ts1 < '2016-01-05T00:00:01Z' AND ms1<1 partition by model, fleet interval(1d) ;")
# 9. breakdown-frequency
# NULL ---count(NULL)=0 expect count(NULL)= 100
tdSql.query("SELECT model,state_changed,count(state_changed) FROM (SELECT model,diff(broken_down) AS state_changed FROM (SELECT _wstart,model,cast(cast(floor(2*(sum(nzs)/count(nzs))) as bool) as int) AS broken_down FROM (SELECT ts,model, cast(cast(status as bool) as int) AS nzs FROM diagnostics WHERE ts >= '2016-01-01T00:00:00Z' AND ts < '2016-01-05T00:00:01Z' ) WHERE ts >= '2016-01-01T00:00:00Z' AND ts < '2016-01-05T00:00:01Z' partition BY model interval(10m)) partition BY model) where model is null partition BY model,state_changed ")
parRows=tdSql.queryRows
assert parRows != 0 , "query result is wrong"
assert parRows != 0 , "query result is wrong, query rows %d but expect > 0 " %parRows
tdSql.query(" SELECT model,state_changed,count(state_changed) FROM (SELECT model,diff(broken_down) AS state_changed FROM (SELECT _wstart,model,cast(cast(floor(2*(sum(nzs)/count(nzs))) as bool) as int) AS broken_down FROM (SELECT ts,model, cast(cast(status as bool) as int) AS nzs FROM diagnostics WHERE ts >= '2016-01-01T00:00:00Z' AND ts < '2016-01-05T00:00:01Z' ) WHERE ts >= '2016-01-01T00:00:00Z' AND ts < '2016-01-05T00:00:01Z' partition BY model interval(10m)) partition BY model) where state_changed =1 partition BY model,state_changed ;")
sql="select model,ctc from (SELECT model,count(state_changed) as ctc FROM (SELECT model,diff(broken_down) AS state_changed FROM (SELECT model,cast(cast(floor(2*(sum(nzs)/count(nzs))) as bool) as int) AS broken_down FROM (SELECT ts,model, cast(cast(status as bool) as int) AS nzs FROM diagnostics WHERE ts >= 1451606400000 AND ts < 1451952001000 ) WHERE ts >= 1451606400000 AND ts < 1451952001000 partition BY model interval(10m)) partition BY model) WHERE state_changed = 1 partition BY model )where model is null;"
# for i in range(2):
# tdSql.query("%s"%sql)
# quertR1=tdSql.queryResult
# for j in range(50):
# tdSql.query("%s"%sql)
# quertR2=tdSql.queryResult
# assert quertR1 == quertR2 , "%s != %s ,The results of multiple queries are different" %(quertR1,quertR2)
#it's already supported:
# last-loc

View File

@ -778,7 +778,7 @@ void shellReadHistory() {
taosFsyncFile(pFile);
taosCloseFile(&pFile);
}
pHistory->hend = pHistory->hstart;
pHistory->hstart = pHistory->hend;
}
void shellWriteHistory() {

View File

@ -33,10 +33,11 @@ int shell_conn_ws_server(bool first) {
return 0;
}
static int horizontalPrintWebsocket(WS_RES* wres) {
static int horizontalPrintWebsocket(WS_RES* wres, double* execute_time) {
const void* data = NULL;
int rows;
ws_fetch_block(wres, &data, &rows);
*execute_time += (double)(ws_take_timing(wres)/1E6);
if (!rows) {
return 0;
}
@ -72,10 +73,11 @@ static int horizontalPrintWebsocket(WS_RES* wres) {
return numOfRows;
}
static int verticalPrintWebsocket(WS_RES* wres) {
static int verticalPrintWebsocket(WS_RES* wres, double* pexecute_time) {
int rows = 0;
const void* data = NULL;
ws_fetch_block(wres, &data, &rows);
*pexecute_time += (double)(ws_take_timing(wres)/1E6);
if (!rows) {
return 0;
}
@ -112,7 +114,7 @@ static int verticalPrintWebsocket(WS_RES* wres) {
return numOfRows;
}
static int dumpWebsocketToFile(const char* fname, WS_RES* wres) {
static int dumpWebsocketToFile(const char* fname, WS_RES* wres, double* pexecute_time) {
char fullname[PATH_MAX] = {0};
if (taosExpandDir(fname, fullname, PATH_MAX) != 0) {
tstrncpy(fullname, fname, PATH_MAX);
@ -127,6 +129,7 @@ static int dumpWebsocketToFile(const char* fname, WS_RES* wres) {
int rows = 0;
const void* data = NULL;
ws_fetch_block(wres, &data, &rows);
*pexecute_time += (double)(ws_take_timing(wres)/1E6);
if (!rows) {
taosCloseFile(&pFile);
return 0;
@ -162,14 +165,14 @@ static int dumpWebsocketToFile(const char* fname, WS_RES* wres) {
return numOfRows;
}
static int shellDumpWebsocket(WS_RES *wres, char *fname, int *error_no, bool vertical) {
static int shellDumpWebsocket(WS_RES *wres, char *fname, int *error_no, bool vertical, double* pexecute_time) {
int numOfRows = 0;
if (fname != NULL) {
numOfRows = dumpWebsocketToFile(fname, wres);
numOfRows = dumpWebsocketToFile(fname, wres, pexecute_time);
} else if (vertical) {
numOfRows = verticalPrintWebsocket(wres);
numOfRows = verticalPrintWebsocket(wres, pexecute_time);
} else {
numOfRows = horizontalPrintWebsocket(wres);
numOfRows = horizontalPrintWebsocket(wres, pexecute_time);
}
*error_no = ws_errno(wres);
return numOfRows;
@ -225,6 +228,8 @@ void shellRunSingleCommandWebsocketImp(char *command) {
return;
}
double execute_time = ws_take_timing(res)/1E6;
if (shellRegexMatch(command, "^\\s*use\\s+[a-zA-Z0-9_]+\\s*;\\s*$", REG_EXTENDED | REG_ICASE)) {
fprintf(stdout, "Database changed.\r\n\r\n");
fflush(stdout);
@ -236,22 +241,27 @@ void shellRunSingleCommandWebsocketImp(char *command) {
if (ws_is_update_query(res)) {
numOfRows = ws_affected_rows(res);
et = taosGetTimestampUs();
printf("Query Ok, %d of %d row(s) in database (%.6fs)\n", numOfRows, numOfRows,
(et - st)/1E6);
double total_time = (et - st)/1E3;
double net_time = total_time - (double)execute_time;
printf("Query Ok, %d of %d row(s) in database\n", numOfRows, numOfRows);
printf("Execute: %.2f ms Network: %.2f ms Total: %.2f ms\n", execute_time, net_time, total_time);
} else {
int error_no = 0;
numOfRows = shellDumpWebsocket(res, fname, &error_no, printMode);
numOfRows = shellDumpWebsocket(res, fname, &error_no, printMode, &execute_time);
if (numOfRows < 0) {
ws_free_result(res);
return;
}
et = taosGetTimestampUs();
double total_time = (et - st) / 1E3;
double net_time = total_time - execute_time;
if (error_no == 0 && !shell.stop_query) {
printf("Query OK, %d row(s) in set (%.6fs)\n", numOfRows,
(et - st)/1E6);
printf("Query OK, %d row(s) in set\n", numOfRows);
printf("Execute: %.2f ms Network: %.2f ms Total: %.2f ms\n", execute_time, net_time, total_time);
} else {
printf("Query interrupted, %d row(s) in set (%.6fs)\n", numOfRows,
(et - st)/1E6);
printf("Execute: %.2f ms Network: %.2f ms Total: %.2f ms\n", execute_time, net_time, total_time);
}
}
printf("\n");