我正在使用CSV文件将数据导入SAP HANA。
当我尝试导入具有数组类型的列时，会导致以下错误
ARRAY类型与PARAMETER TYPE
不兼容
例如
CREATE COLUMN TABLE "SCHEMA"."TABLE"
( 'ID' INT,
'SUBJECTS' INT ARRAY)
以上查询创建表格，当我运行
时INSERT INTO "SCHEMA"."TABLE" VALUES (1,ARRAY(1,2,3))
它成功插入HANA数据库。
但是当我尝试
时INSERT INTO "SCHEMA"."TABLE" VALUES (1,"{1,2,3}")
它不起作用。那么如何将CSV文件中的数组值导入HANA数据库中的列。
答案 0 :(得分：1)
您可以在循环中构造INSERT语句，但仍需要为每条记录构造ARRAY（）调用。
好的，这是你要求的例子。 到目前为止，您应该了解没有简单的IMPORT命令可以自动将数组插入HANA表中。
我看到了两个选项：
像这样：
create column table array_imp_demo as (
select owner_name , object_type, to_clob( '{'|| string_agg ( object_oid, ', ') || '}' )array_text
from ownership
group by owner_name, object_type);
select top 10 * from array_imp_demo;
/*
OWNER_NAME OBJECT_TYPE ARRAY_TEXT
SYS TABLE {142540, 142631, 142262, 133562, 185300, 142388, 133718, 142872, 133267, 133913, 134330, 143063, 133386, 134042, 142097, 142556, 142688, 142284, 133577, 185357, 142409, 133745, 142902, 133308, 133948, 134359, 143099, 133411, 134135, 142118, 142578, 142762, 142306, 133604, 142429, 133764, 142928, 133322, 133966, 134383, 143120, 133443, 134193, 142151, 142587, 142780, 142327, 133642, 142448, 133805, 142967, 185407, 133334, 133988, 134624, 143134, 133455, 134205, 142173, 142510, 142606, 142798, 142236, 133523, 142359, 133663, 142465, 133825, 142832, 133175, 133866, 134269, 143005, 133354, 134012, 134646, 143148, 133497, 134231, 142195, 142526, 142628, 142816, 142259, 133551, 142382, 133700, 142493, 133855, 142862, 133235, 133904, 134309, 143051, 133373, 134029, 142082, 143306, 133513, 134255, 142216, 142553, 142684, 142281, 133572, 185330, 142394, 133738, 142892, 133299, 133929, 134351, 143080, 133406, 134117, 142115, 142576, 142711, 142303, 133596, 142414, 133756, 142922, 185399, 133319, 133958, 134368, 143115,
SYSTEM TABLE {154821, 146065, 146057, 173960, 174000, 173983, 144132, 173970}
_SYS_STATISTICS TABLE {151968, 146993, 147245, 152026, 147057, 147023, 151822, 147175, 147206, 151275, 151903, 147198, 147241, 151326, 151798, 152010, 147016, 147039, 147068, 151804, 151810, 147002, 147202, 151264, 151850, 147186, 147114, 147228, 151300, 151792, 151992, 147030, 147062, 151840, 147181, 147210, 151289, 151754, 149419, 150274, 147791, 150574, 147992, 149721, 150672, 148132, 149894, 147042, 148434, 149059, 150071, 147518, 148687, 149271, 150221, 150877, 147716, 148913, 150388, 147957, 149675, 150634, 148102, 149829, 148267, 148979, 149976, 147494, 148663, 151107, 149224, 150178, 147667, 148855, 149532, 150306, 147925, 149602, 150598, 148080, 149792, 148179, 149926, 147417, 148547, 149186, 150107, 147568, 148804}
_SYS_EPM TABLE {143391, 143427, 143354, 143385, 143411, 143376, 143398, 143367, 143414, 143344, 175755}
_SYS_REPO TABLE {145086, 151368, 171680, 145095, 152081, 169183, 151443, 149941, 154366, 143985, 145116, 152104, 151496, 169029, 177728, 179047, 145065, 169760, 178767, 151659, 169112, 169258, 153736, 177757, 174923, 145074, 150726, 151697, 169133, 178956, 145083, 169171, 168992, 145092, 177665, 169178, 151378, 169271, 178881, 174911, 154128, 143980, 145101, 152098, 151481, 177720, 152504, 145062, 151570, 169102, 154058, 145071, 170733, 151687, 169130, 145080, 171629, 169166, 178846, 145089, 149588, 151373, 177614, 143976, 145098, 152087, 151458, 149955, 178907, 154386, 145059, 169605, 151529, 169035, 178579, 151176, 179178, 145068, 150709, 151670, 169124, 174905, 177778, 154244, 145077, 170883, 169158, 144072, 152681, 144285, 154415, 144620, 145268, 168884, 144895, 143512, 151428, 168774, 143750, 152337, 168558, 144114, 149559, 152719, 144327, 144674, 145508, 168924, 144939, 143578, 152135, 143793, 152392, 168587, 144151, 152753, 144370, 144720, 145722, 168960, 144990, 143626, 152174, 143832, 152435, 168620, 144188, 152785,
_SYS_TASK TABLE {146851, 146847, 146856, 146231, 146143, 146839, 146854, 146834, 146430, 146464, 146167, 146505, 146205, 146257, 146384, 146313, 146420, 146356, 146454, 146155, 146495, 146193, 146525, 146244, 146368, 146296, 146410, 146346, 146443, 146148, 146484, 146181, 146517, 146234, 146275, 146395, 146325}
_SYS_AFL TABLE {177209, 176741, 176522, 177243, 176777, 176692, 176201, 177294, 176929, 177328, 176967, 177383, 177105, 177015, 176826, 177143, 177056, 176866, 177215, 176748, 176550, 176474, 177249, 176784, 176699, 176218, 146871, 177300, 176935, 177335, 176973, 177389, 177111, 177021, 176835, 177156, 177062, 176883, 185427, 177221, 176755, 176572, 176487, 177261, 176790, 176706, 176398, 177306, 176941, 177341, 176979, 177397, 177119, 177033, 176843, 177162, 177069, 176889, 177228, 176762, 176589, 177267, 176799, 176713, 176416, 177313, 176953, 177348, 176991, 177404, 177127, 177040, 176849, 177173, 177075, 176895, 177195, 176732, 176507, 177234, 176768, 177274, 176805, 176720, 176448, 177285, 176921, 177319, 176959, 177354, 176997, 177375, 177095, 177007, 176818, 177411, 177133, 177047, 176858, 177179, 177081, 176911, 177201, 176738, 176519, 177241, 176775, 176690, 176196, 177280, 176814, 176727, 176464, 177291, 176927, 177326, 176965, 177360, 177003, 177381, 177103, 177013, 176824, 177141, 177053, 176864, 177191, 177091,
_SYS_XB TABLE {146971, 146957}
DEVDUDE TABLE {167121, 165374, 182658, 156616, 173111, 181568, 174901, 183413, 184432, 183498, 183470, 184464, 155821, 173102, 183613, 184495, 155857, 166744, 180454, 184547, 156234, 172096, 166765, 165548, 184649, 183399, 184357, 184577, 183477, 181594, 183537, 181572, 167201, 184685, 185467, 183406, 184422, 184610, 183491, 155842, 172923, 157723, 182636, 167895, 183463, 184454, 183505, 165542, 183606, 184488, 155849, 172749, 157626, 184527, 183449, 166759, 184627, 182827, 184347, 184568, 157619, 172118, 183530, 181556, 167137, 184670, 182642, 184411, 184598, 183484, 155835, 183456, 183593, 181584, 167328, 183421, 184443, 183586, 184474, 155828, 166392, 183620, 184517, 183435, 183442, 183512, 166753, 184557, 156598, 172106, 183523, 166771, 166568, 184660, 182630, 184381, 184587, 183428, 157681, 182649, 167264, 168236}
ADMIN TABLE {158520, 158925, 158982, 158492, 158571, 158583, 158560, 158541, 158744}
*/
好的，我们假设这是您设法从CSV文件加载到表中的数据，并且ARRAY_DATA列是一个很大的CLOB。
现在，数据在表格中，但您需要将其放入ARRAY列。
alter table array_imp_demo add (array_data integer array);
现在非常方便的部分：为每条记录创建一个新的UPDATE命令，将CLOB数据转换为正确的ARRAY（）函数调用。 请注意，此更新命令正常工作，因为在这种情况下（OWNER，OBJECT_TYPE）用作键。
do begin
declare vsqlmain nvarchar (50) :='UPDATE array_imp_demo set array_data = ARRAY ';
declare vsql nvarchar(5000);
declare cursor c_upd for
select OWNER_NAME, OBJECT_TYPE,
replace (replace (ARRAY_TEXT, '{', '(' ), '}', ')' ) array_data
from array_imp_demo;
for cur_row as c_upd do
vsql = :vsqlmain || cur_row.array_data;
vsql = :vsql || ' WHERE owner_name = ''' || cur_row.owner_name || '''';
vsql = :vsql || ' AND object_type = ''' || cur_row.object_type || '''';
exec :vsql;
end for;
end;
select * from array_imp_demo;
OWNER_NAME OBJECT_TYPE ARRAY_TEXT ARRAY_DATA
SYS TABLE {142540, 142631, 142262,... 142540, 142631, 142262,...
SYSTEM TABLE {154821, 146065, 146057,... 154821, 146065, 146057,...
_SYS_STATISTICS TABLE {151968, 146993, 147245,... 151968, 146993, 147245,...
_SYS_EPM TABLE {143391, 143427, 143354,... 143391, 143427, 143354,...
_SYS_REPO TABLE {145086, 151368, 171680,... 145086, 151368, 171680,...
之后，您可以删除CLOB列。
好的，这就是我的意思。
答案 1 :(得分：0)
目前只能使用ARRAY（）函数创建数组存储类型。
答案 2 :(得分：0)
您是否尝试过使用CTL方法导入数据？我希望这可能有所帮助。