我正在使用Bigtable模拟器,并成功添加了一个表,现在我需要获取过滤数据。
表格如下:
arc_record_id | record_id | batch_id
1 |624 |86
2 |625 |86
3 |626 |86
等等......直到arc_record_id 10。
我在下面的Python代码中尝试了这个:
visit_dt_filter = ValueRangeFilter(start_value = "1".encode('utf-8'),
end_value = "2".encode('utf-8'))
col1_filter = ColumnQualifierRegexFilter(b'arc_record_id')
chain1 = RowFilterChain(filters=[col1_filter, visit_dt_filter])
partial_rows = testTable.read_rows(filter_=chain1)
for row in partial_rows:
cell = row.cells[columnFamilyid1]["arc_record_id".encode('utf-8')][0]
print(cell.value.decode('utf-8'))
rowkey是
prim_key=row_value[0] //which is arc_record_id
row_key="RecordArchive{}".format(prim_key).encode('utf-8')
我把输出作为
1
10
2
3
我期待输出
arc_record_id | record_id | batch_id
1 |624 |86
2 |625 |86
您的代码有几个问题可以帮助您达到您想要的效果:
row.cells[columnFamilyid1]["arc_record_id".encode('utf-8')]
,所以只输出arc_record_id。read_rows(start_key="RecordArchive1".encode('utf-8'), end_key="RecordArchive3".encode('utf-8'))
总而言之,尝试以下代码:
KEY_PREFIX = "RecordArchive".encode('utf-8')
ARC_RECORD_ID_COL = "arc_record_id".encode('utf-8')
RECORD_ID_COL = "record_id".encode('utf-8')
BATCH_ID_COL = "batch_id".encode('utf-8')
# Functions used to store/retrieve integer values. Supports IDs up to 2**31
def pack_int(i):
return struct.pack('>l', i)
def unpack_int(b):
return struct.unpack('>l', b)[0]
# row key of a record of given arc_record_id
def rowkey(id):
return KEY_PREFIX + pack_int(id)
results = table.read_rows(start_key=rowkey(1), end_key=rowkey(2), end_inclusive=True)
print("arc_record_id,record_id,batch_id")
for row in results:
print("{},{},{}".format(
unpack_int(row.cell[columnFamilyid1][ARC_RECORD_ID_COL][0].value),
unpack_int(row.cell[columnFamilyid1][RECORD_ID_COL][0].value),
unpack_int(row.cell[columnFamilyid1][BATCH_ID_COL][0].value)))