[tcaplusdb knowledge base] Introduction to tcaplusdb tcaplusadmin tool

【TcaplusDB The knowledge base 】TcaplusDB-tcaplusadmin Tool is introduced

• Enter the tool Directory , perform  ./tcaplusadmin help  You can get the introduction and usage of each sub command ,tcaplusadmin The tools mainly have the following commands ：
• analysehashbuckets
• validatedatafile
• statshm、createshm、rmshm
• compressengine、decompressengine
• analytic_data_dump
• Be careful ：
• When using tools , The version of the tool must be the same as svr Consistent versions of
• When copying or backing up engine files , The corresponding... Must be stopped correctly first svr process
• When using tools on engine files or ulog Before file operation , Please pay attention to the backup
• It is recommended to put the files and tools required by the command in the same directory , Or use the absolute path to specify the file
• 1. analysehashbuckets
• This command is used to analyze the statistics of binary trees in each hash bucket in the specified engine file , Including the number of nodes 、 Depth and other information , The command format is  ./tcaplusadmin analysehashbuckets -f engfile, among ,engfile For the engine file to be analyzed .
• Example ：./tcaplusadmin analysehashbuckets -f /data1/1.2.2.1/AppID_2_ZoneID_3/test_table_1.txh
• 2. validatedatafile
• This command is used to verify the validity of the engine file , The command format is  ./tcaplusadmin validatedatafile -f engfile [--validate-type= ], The specific meanings of parameters are as follows ：
• engfile  Represents the engine file used to validate
• --validate-type  Indicates the content to be verified , Yes head、stat、lru、freeblock、datablock_offsetiter、datablock_hashiter Optional
• Example ：./tcaplusadmin validatedatafile -f /data1/1.2.2.1/AppID_2_ZoneID_3/test_table_1.txh --validate-type=head
• 3. statshm、createshm、rmshm
• These three commands are used to view 、 establish 、 Delete shared memory belonging to the current user , The command format and its meaning are as follows ：
• ./tcaplusadmin statshm： List all shared memory belonging to the current user
• ./tcaplusadmin createshm： Create a piece of shared memory belonging to the current user
• ./tcaplusadmin rmshm --shmid=x [--force]： Delete shmid by x Shared memory for ,--force Is an optional parameter , Indicates forced deletion
• 4. compressengine、decompressengine
• These two commands are used to compress and decompress the engine files respectively , The command format and its meaning are as follows ：
• ./tcaplusadmin compressengine -f engfile -c dir： Use LZO The algorithm compresses the specified engine file ,engfile For the engine file to be compressed ,dir Save directory for compressed engine files
• ./tcaplusadmin decompressengine -f flzo -c dir： To use LZO Algorithm decompress the compressed engine file ,flzo For the use of LZO Algorithm compressed engine file ,dir Save directory for unzipped engine files
• 5. analytic_data_dump
• This command is used to export the specified records in the engine file in the specified format , The command format is  ./tcaplusadmin analytic_data_dump type so_name enginefileName appFlag zoneFlag tableName tdr_name, The specific meanings of the seven parameters are as follows ：
• type： Usually it is “so”, Said the use of so File for data export （
  so The function interfaces to be implemented in and their related descriptions
  ）
• so_name： User generated so file
• enginefileName： A text file that records the engine file name , In this file , Each line corresponds to an engine file
• appFlag： The business where the data table is located ID
• zoneFlag： The server where the data table is located ID
• tableName： Data table name
• tdr_name： Data table tdr file
• Example ：./tcaplusadmin analytic_data_dump so mylib.so engfile.txt 2 3 test_table 2.3.test_table.tdr

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TcaplusDB It's a distributed product of Tencent NoSQL database , The code for storage and scheduling is completely self-developed . With cache + Landing fusion architecture 、PB Levels of storage 、 Millisecond delay 、 Lossless horizontal expansion and complex data structure . At the same time, it has rich ecological environment 、 Easy migration 、 Extremely low operation and maintenance costs and five nine high availability features . Customer coverage game 、 Internet 、 government affairs 、 Finance 、 Manufacturing and the Internet of things .