[人工智能]数据分析--Python将dataframe格式数据存入clickhouse

基于Python实现大批量dataframe格式数据存入clickhouse中

from clickhouse_driver import Client
#host为ip地址，port为端口号，database为数据库名
client = Client(host='', port='', database='')

def to_clickhouse(data, client, table='', orderby='', partitionby='', rksj=0):
    """
    :param data: 需要存入ck的dataframe
    :param client: 建立连接的基本参数
    :param table: 存入ck中的表的表名
    :param orderby: 排序字段
    :param partitionby:
    :param rksj:
    :return:
    """
    orderby = data.dtypes.index[0] if orderby == '' else orderby
    #  partition是建立分区
    partitionbysql = 'PARTITION BY %s' % partitionby if partitionby != '' else ''
    rksjsql = ",\n rksj DateTime DEFAULT now()" if rksj == 1 else ''

    def table_exist():
        return read_ch('''
                select * from system.parts
                where table =  '%s'
                '''%(table), client).size

    def to_sqldatatype(data):
        def datatype_map(value):
            if isinstance(value,int) or isinstance(value, np.int64):
                datatype = 'Int32'
            elif isinstance(value,float) or isinstance(value, np.float64):
                datatype = 'Float32'
            elif isinstance(value,np.datetime64) or isinstance(value, datetime):
                datatype = 'Datetime64'
            elif isinstance(value,list) or isinstance(value,np.ndarray):
                datatype = 'Array(String)'
            else:
                datatype = 'String'
            return datatype

        data = data.copy()
        temp = data.iloc[0]
        datatypesql = ''
        for i, j in zip(temp.index, temp.values):
            datatype = datatype_map(j)
            datatypesql = datatypesql + i + ' ' + datatype if datatypesql == '' else datatypesql + ',\n' +i + ' ' + datatype
            if isinstance(j, int) or isinstance(j, np.int64) or isinstance(j,float) or isinstance(j, np.float64):
                data[i] = data[i].fillna(np.nan).copy()
            else:
                data[i] = data[i].fillna('')
        return datatypesql

    if table_exist() == 0:
        datatypesql = to_sqldatatype(data)

        read_ch('''
                CREATE TABLE IF NOT EXISTS %s 
                    (
                        %s
                        %s
                    )ENGINE = MergeTree()
                    ORDER BY %s
                    %s
                    --PRIMARY KEY id;
                '''% (table, datatypesql, rksjsql, orderby, partitionbysql), client)

    col = ','.join(data.columns.tolist())
    client.execute('INSERT INTO %s (%s) VALUES' % (table, col), data.fillna('').values.tolist(), types_check=True)