使用HappyBase更新HBase数据

时间:2017-07-07 16:19:42

标签: python hbase happybase

我正在尝试编写一个函数来更新保存在HBase中的表中的数据。我有一个函数将被调用来更新它,我有一个非常好的开始,但我有点迷失在完成它的结束。我可以根据一个字符串更新单行到另一个字符串,但是在比较日志时间时,我似乎无法弄清楚如何做到这一点,因为没有设置日志时间。我将表中的所有值存储到字典中。这是我的代码:

def updateHBase(row):

dict = row.asDict() #create a dictionary from Row

columns = dict.keys()
    for col in columns: #creates the colfamily:colname for happybase format
        dict["DriveInfo:" +col] = dict.pop(col) #adds data into rows

del dict[DriveInfo:serialnumb] #removes the row key that HBase uses, serialnum

x = table.row(row.serialnum) 

if (len(x) == 0) #length of row is zero, row key does not exist
    table.put(row.serialnum, dict) #add new row is row key does not exist

else #check for health
    if (dict['health'].lower() != 'healthy') #if the row isnt healthy... next steps

        if (dict['health'].lower() != 'archived' and x['health'] == 'archived' and dict['logtime'] < x['logtime']) #update a row with a health status of archived
            table.put(row.serialnum, dict) 

        else #if the row that is being replaced isn't archived, just replace the row
            table.put(row.serialnum, dict) 
        return

    elif (dict['logtime'] > x['logtime'] and dict['health'].lower() == 'healthy') # new log time > old log time and health is healthy, replace the row with new data
        table.put(row.serialnum, dict)

    else
        return

编辑:在我的所有if语句中...... dict['health'] ...是x['health']

1 个答案:

答案 0 :(得分:0)

想出来......

def updateHBase(row):

dict = row.asDict() #create a dictionary from Row

columns = dict.keys()
    for col in columns: #creates the colfamily:colname for happybase format
        dict["DriveInfo:" +col] = dict.pop(col) #adds data into rows

del dict[DriveInfo:serialnumb] #removes the row key that HBase uses, serialnum

x = table.row(row.serialnum) 

if (len(x) == 0) #length of row is zero, row key does not exist
    table.put(row.serialnum, dict) #add new row is row key does not exist

else #check for health
    if (x['health'].lower() != 'healthy') #if the row isnt healthy... next steps

        if (x['health'].lower() != 'archived' and x['health'] == 'archived') #update a row with a health status of archived
            table.put(row.serialnum, dict) 

        else #if the row that is being replaced isn't archived, just replace the row
            table.put(row.serialnum, dict) 
        return

    elif (x['logtime'] > row.logtime and x['health'].lower() == 'healthy') # new log time > old log time and health is healthy, replace the row with new data
        table.put(row.serialnum, dict)

    else
        return