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dolphin-dev/ipynb/ddb.ipynb

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{
"cells": [
{
"cell_type": "code",
"execution_count": 2,
"id": "7246e0c8-61cd-4cbf-a978-aa0dc0172d6d",
"metadata": {},
"outputs": [],
"source": [
"import dolphindb as ddb"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "5d0f471e-682e-43cc-abdb-7e52f3bbd707",
"metadata": {},
"outputs": [],
"source": [
"sess = ddb.session('localhost', 8848)\n",
"sess.login('admin', '123456')"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "fca58bdc-2aa1-4610-9a94-67d55f97a6e1",
"metadata": {},
"outputs": [],
"source": [
"sess.run(\"\"\"\n",
" migrate('/data/dolphindb/backup/', \"dfs://hft_stock_ts\", \"OrderPartitioned\")\n",
"\"\"\")"
]
},
{
"cell_type": "code",
"execution_count": 60,
"id": "ed17fd0b-9b36-47e4-9ab6-11459a3621fb",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"115548"
]
},
"execution_count": 60,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"sess = ddb.session('192.168.1.7', 8848)\n",
"sess.login('admin', '123456')\n",
"\n",
"# backup(backup_path, sql_obj, force, parallel)\n",
"code = \"\"\"\n",
" backup('/data/dolphindb/backup/', <select * from loadTable(\"dfs://hft_stock_ts\", \"TickPartitioned\")>, true, true)\n",
"\"\"\"\n",
"\n",
"sess.run(code)"
]
},
{
"cell_type": "code",
"execution_count": 32,
"id": "c8d07fc8-d80c-490f-9220-0d3e8e4c72a4",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"50"
]
},
"execution_count": 32,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"sess = ddb.session('localhost', 8848)\n",
"sess.login('admin', '123456')\n",
"\n",
"# backup(backup_path, sql_obj, force, parallel)\n",
"code = \"\"\"\n",
" backup('/data/dolphindb/backup/', <select * from loadTable(\"dfs://pit_stock_ts\", \"bs_common_ori\")>, true, false);\n",
" backup('/data/dolphindb/backup/', <select * from loadTable(\"dfs://pit_stock_ts\", \"bs_common_adj\")>, true, false);\n",
" \n",
" backup('/data/dolphindb/backup/', <select * from loadTable(\"dfs://pit_stock_ts\", \"cfs_common_ori\")>, true, false);\n",
" backup('/data/dolphindb/backup/', <select * from loadTable(\"dfs://pit_stock_ts\", \"cfs_common_adj\")>, true, false);\n",
" \n",
" backup('/data/dolphindb/backup/', <select * from loadTable(\"dfs://pit_stock_ts\", \"is_common_adj\")>, true, false);\n",
" backup('/data/dolphindb/backup/', <select * from loadTable(\"dfs://pit_stock_ts\", \"is_common_adj\")>, true, false);\n",
" \n",
" backup('/data/dolphindb/backup/', <select * from loadTable(\"dfs://pit_stock_ts\", \"divident\")>, true, false);\n",
" backup('/data/dolphindb/backup/', <select * from loadTable(\"dfs://pit_stock_ts\", \"earnings_preannouncement\")>, true, false);\n",
" backup('/data/dolphindb/backup/', <select * from loadTable(\"dfs://pit_stock_ts\", \"preliminary_earnings_estimate\")>, true, false);\n",
"\"\"\"\n",
"\n",
"sess.run(code)"
]
},
{
"cell_type": "code",
"execution_count": 33,
"id": "8b7dae3d-aef1-4c50-92b2-460d4fea0a96",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>tableName</th>\n",
" <th>physicalIndex</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>daily_kline</td>\n",
" <td>uoH</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>hft_daily_factor</td>\n",
" <td>u6J</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" tableName physicalIndex\n",
"0 daily_kline uoH\n",
"1 hft_daily_factor u6J"
]
},
"execution_count": 33,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"sess.run(\"\"\"\n",
" listTables(\"dfs://daily_stock_ts\");\n",
"\"\"\")"
]
},
{
"cell_type": "code",
"execution_count": 34,
"id": "8af3381d-9fdc-4cb0-b3a9-d6538db97476",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"50"
]
},
"execution_count": 34,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"sess.run(\"\"\"\n",
" backup('/data/dolphindb/backup/', <select * from loadTable(\"dfs://daily_stock_ts\", \"daily_kline\") >, true, false);\n",
"\"\"\")"
]
},
{
"cell_type": "code",
"execution_count": 69,
"id": "bf3bc38e-74cb-4549-bdca-6a3d2a601488",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"2287.0"
]
},
"execution_count": 69,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"114350 / 50"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "11275975-af43-4123-973a-f75096eb4e43",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"2311.0"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"115550 / 50"
]
},
{
"cell_type": "code",
"execution_count": 25,
"id": "155735c7-bdad-4c64-a2a1-514fe54e088c",
"metadata": {},
"outputs": [],
"source": [
"import dolphindb as ddb\n",
"\n",
"sess = ddb.session('localhost', 8848)\n",
"sess.login('admin', '123456')"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "a2e95bc5-c1d5-47f5-9488-9b8702947afc",
"metadata": {},
"outputs": [],
"source": [
"# migrate(backupDir, [backupDBPath], [backupTableName], [newDBPath=backupDBPath], [newTableName=backupTableName])\n",
"code = \"\"\"\n",
" migrate('/data/dolphindb/backup/',\"dfs://hft_stock_ts\", \"KLinePartitioned\")\n",
"\"\"\""
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "8a6198ef-e7f1-4f58-ba24-32dc429c9803",
"metadata": {},
"outputs": [],
"source": [
"sess.run(code)"
]
},
{
"cell_type": "code",
"execution_count": 28,
"id": "60f71516-33fc-4147-9740-c493ccb6b6a8",
"metadata": {},
"outputs": [],
"source": [
"def make_kurto_code_partition(partition_num):\n",
" code = \"\"\"\n",
" tbl = loadTable(\"dfs://hft_stock_ts\", \"KLinePartitioned\");\n",
" ret = select \n",
" code, m_nDate, eachPre(\\, m_nClose)-1.0 as ret \n",
" from tbl \n",
" where partition(code, {partition_num}) \n",
" context by m_nDate;\n",
" kurto = select \n",
" code, m_nDate, sqrt(239) * sum(pow(ret, 3)) / pow(sum(pow(ret, 2)), 1.5) as kurto \n",
" from ret \n",
" group by code, m_nDate;\n",
" \"\"\".format(\n",
" partition_num = partition_num\n",
" )\n",
" sess.run(code)"
]
},
{
"cell_type": "code",
"execution_count": 32,
"id": "1397c1b7-f81a-465e-868a-894b3ef818fc",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>code</th>\n",
" <th>count</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>000400.SZ</td>\n",
" <td>2305</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>000558.SZ</td>\n",
" <td>2063</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>000602.SZ</td>\n",
" <td>47</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>000677.SZ</td>\n",
" <td>2009</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>000731.SZ</td>\n",
" <td>2311</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>94</th>\n",
" <td>688039.SH</td>\n",
" <td>624</td>\n",
" </tr>\n",
" <tr>\n",
" <th>95</th>\n",
" <td>688052.SH</td>\n",
" <td>52</td>\n",
" </tr>\n",
" <tr>\n",
" <th>96</th>\n",
" <td>688091.SH</td>\n",
" <td>198</td>\n",
" </tr>\n",
" <tr>\n",
" <th>97</th>\n",
" <td>688368.SH</td>\n",
" <td>656</td>\n",
" </tr>\n",
" <tr>\n",
" <th>98</th>\n",
" <td>688396.SH</td>\n",
" <td>575</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>99 rows × 2 columns</p>\n",
"</div>"
],
"text/plain": [
" code count\n",
"0 000400.SZ 2305\n",
"1 000558.SZ 2063\n",
"2 000602.SZ 47\n",
"3 000677.SZ 2009\n",
"4 000731.SZ 2311\n",
".. ... ...\n",
"94 688039.SH 624\n",
"95 688052.SH 52\n",
"96 688091.SH 198\n",
"97 688368.SH 656\n",
"98 688396.SH 575\n",
"\n",
"[99 rows x 2 columns]"
]
},
"execution_count": 32,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"sess.run(\"\"\"\n",
" select code, count(*) from kurto group by code\n",
"\"\"\")"
]
},
{
"cell_type": "code",
"execution_count": 12,
"id": "59758901-3728-4355-bbb8-15b3eb537cdf",
"metadata": {},
"outputs": [],
"source": [
"def create_daily_ddb_database():\n",
" code = \"\"\"\n",
" daily_stock_ts = database(\n",
" \"dfs://daily_stock_ts\", \n",
" HASH, [SYMBOL, 50], \n",
" engine = 'TSDB'\n",
" )\n",
" \"\"\"\n",
" sess.run(code)"
]
},
{
"cell_type": "code",
"execution_count": 38,
"id": "d8fa94ae-6ca4-41f3-8b13-47ab8876ba95",
"metadata": {},
"outputs": [],
"source": [
"def load_daily_ddb_database():\n",
" code = \"\"\"\n",
" daily_stock_ts = database(\"dfs://daily_stock_ts\")\n",
" \"\"\"\n",
" sess.run(code)\n",
"\n",
"load_daily_ddb_database()"
]
},
{
"cell_type": "code",
"execution_count": 43,
"id": "84eb237e-959c-419f-bce1-6779acda86d4",
"metadata": {},
"outputs": [],
"source": [
"def create_kurto_partition_table():\n",
" # createPartitionedTable(dbHandle, table, tableName, [partitionColumns], [compressMethods], [sortColumns], [keepDuplicates=ALL], [sortKeyMappingFunction])\n",
" code = \"\"\"\n",
" dropTable(daily_stock_ts, \"kurto_partitioned\");\n",
" kurto_partitioned = createPartitionedTable(\n",
" daily_stock_ts,\n",
" kurto, \n",
" \"kurto_partitioned\",\n",
" partitionColumns = 'code',\n",
" compressMethods = {'m_nDate' : 'delta'},\n",
" sortColumns = `code`m_nDate\n",
" );\n",
" \"\"\"\n",
" sess.run(code)\n",
" \n",
"create_kurto_partition_table()"
]
},
{
"cell_type": "code",
"execution_count": 40,
"id": "0d93b3d1-39b7-4e23-8abf-eda86dcd2a23",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
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" vertical-align: middle;\n",
" }\n",
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" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>code</th>\n",
" <th>m_nDate</th>\n",
" <th>kurto</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>000400.SZ</td>\n",
" <td>2013-01-04</td>\n",
" <td>-0.317991</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>000558.SZ</td>\n",
" <td>2013-01-04</td>\n",
" <td>-15.387820</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>000677.SZ</td>\n",
" <td>2013-01-04</td>\n",
" <td>-15.459625</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>000731.SZ</td>\n",
" <td>2013-01-04</td>\n",
" <td>15.443339</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>000752.SZ</td>\n",
" <td>2013-01-04</td>\n",
" <td>15.396262</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>000789.SZ</td>\n",
" <td>2013-01-04</td>\n",
" <td>-14.801720</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>000903.SZ</td>\n",
" <td>2013-01-04</td>\n",
" <td>-15.405085</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>000912.SZ</td>\n",
" <td>2013-01-04</td>\n",
" <td>14.755241</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>000935.SZ</td>\n",
" <td>2013-01-04</td>\n",
" <td>15.413214</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>000970.SZ</td>\n",
" <td>2013-01-04</td>\n",
" <td>15.458413</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" code m_nDate kurto\n",
"0 000400.SZ 2013-01-04 -0.317991\n",
"1 000558.SZ 2013-01-04 -15.387820\n",
"2 000677.SZ 2013-01-04 -15.459625\n",
"3 000731.SZ 2013-01-04 15.443339\n",
"4 000752.SZ 2013-01-04 15.396262\n",
"5 000789.SZ 2013-01-04 -14.801720\n",
"6 000903.SZ 2013-01-04 -15.405085\n",
"7 000912.SZ 2013-01-04 14.755241\n",
"8 000935.SZ 2013-01-04 15.413214\n",
"9 000970.SZ 2013-01-04 15.458413"
]
},
"execution_count": 40,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"sess.run(\"\"\"\n",
" kurto_partitioned.tableInsert(kurto);\n",
"\"\"\")"
]
},
{
"cell_type": "code",
"execution_count": 41,
"id": "eea5cb0b-8452-41a9-a0ad-7cf52c856c25",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
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" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>count</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>154953</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" count\n",
"0 154953"
]
},
"execution_count": 41,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"sess.run(\"\"\"\n",
" select count(*) from kurto_partitioned;\n",
"\"\"\")"
]
},
{
"cell_type": "code",
"execution_count": 45,
"id": "9e7bc856-517b-4bf9-866d-4fe85b9705a3",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'partitionType': 5,\n",
" 'partitionColumnType': 17,\n",
" 'partitionColumnIndex': 0,\n",
" 'chunkPath': None,\n",
" 'colDefs': name typeString typeInt comment\n",
" 0 code SYMBOL 17 \n",
" 1 m_nDate DATE 6 \n",
" 2 kurto DOUBLE 16 ,\n",
" 'chunkGranularity': 'TABLE',\n",
" 'partitionTypeName': 'HASH',\n",
" 'keepDuplicates': 'ALL',\n",
" 'engineType': 'TSDB',\n",
" 'partitionColumnName': 'code',\n",
" 'partitionSchema': 50,\n",
" 'sortColumns': array(['code', 'm_nDate'], dtype=object),\n",
" 'partitionSites': None}"
]
},
"execution_count": 45,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"sess.run(\"\"\"\n",
" schema(loadTable(\"dfs://daily_stock_ts\", \"kurto_partitioned\"));\n",
"\"\"\")"
]
},
{
"cell_type": "code",
"execution_count": 46,
"id": "94ae00b5-ba42-48b9-b114-012cf306d871",
"metadata": {},
"outputs": [],
"source": [
"sess.run(\"m_table = table(kurto)\")"
]
},
{
"cell_type": "code",
"execution_count": 47,
"id": "e30134f9-5110-421d-8f71-1bef25e7ef17",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
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"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>code</th>\n",
" <th>m_nDate</th>\n",
" <th>kurto</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>000400.SZ</td>\n",
" <td>2013-01-04</td>\n",
" <td>-0.317991</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>000400.SZ</td>\n",
" <td>2013-01-07</td>\n",
" <td>0.790872</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>000400.SZ</td>\n",
" <td>2013-01-08</td>\n",
" <td>0.655005</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>000400.SZ</td>\n",
" <td>2013-01-09</td>\n",
" <td>0.965054</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>000400.SZ</td>\n",
" <td>2013-01-10</td>\n",
" <td>-0.116488</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>154948</th>\n",
" <td>688396.SH</td>\n",
" <td>2022-07-04</td>\n",
" <td>-15.420192</td>\n",
" </tr>\n",
" <tr>\n",
" <th>154949</th>\n",
" <td>688396.SH</td>\n",
" <td>2022-07-05</td>\n",
" <td>-15.426922</td>\n",
" </tr>\n",
" <tr>\n",
" <th>154950</th>\n",
" <td>688396.SH</td>\n",
" <td>2022-07-06</td>\n",
" <td>-15.389434</td>\n",
" </tr>\n",
" <tr>\n",
" <th>154951</th>\n",
" <td>688396.SH</td>\n",
" <td>2022-07-07</td>\n",
" <td>-15.411602</td>\n",
" </tr>\n",
" <tr>\n",
" <th>154952</th>\n",
" <td>688396.SH</td>\n",
" <td>2022-07-08</td>\n",
" <td>-15.401453</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>154953 rows × 3 columns</p>\n",
"</div>"
],
"text/plain": [
" code m_nDate kurto\n",
"0 000400.SZ 2013-01-04 -0.317991\n",
"1 000400.SZ 2013-01-07 0.790872\n",
"2 000400.SZ 2013-01-08 0.655005\n",
"3 000400.SZ 2013-01-09 0.965054\n",
"4 000400.SZ 2013-01-10 -0.116488\n",
"... ... ... ...\n",
"154948 688396.SH 2022-07-04 -15.420192\n",
"154949 688396.SH 2022-07-05 -15.426922\n",
"154950 688396.SH 2022-07-06 -15.389434\n",
"154951 688396.SH 2022-07-07 -15.411602\n",
"154952 688396.SH 2022-07-08 -15.401453\n",
"\n",
"[154953 rows x 3 columns]"
]
},
"execution_count": 47,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"sess.run(\"m_table\")"
]
},
{
"cell_type": "code",
"execution_count": 51,
"id": "947e3346-15f6-4fb5-b2d6-b97b013a3b36",
"metadata": {},
"outputs": [],
"source": [
"code = \"\"\"\n",
" // 保证创建新的分区表不会和已经存在表冲突\n",
" if (existsTable(\"{ddb_daily_path}\", \"{partition_tbl_name}\")) {{\n",
" dropTable({ddb_daily_dbname}, \"{partition_tbl_name}\");\n",
" }}\n",
"\n",
" {partition_tbl_name} = createPartitionedTable(\n",
" dbHandle = {ddb_daily_dbname},\n",
" table = {memory_tbl_name}, \n",
" \"{partition_tbl_name}\",\n",
" partitionColumns = 'code',\n",
" compressMethods = {{'m_nDate' : 'delta'}},\n",
" sortColumns = `code`m_nDate\n",
" );\n",
"\"\"\".format(\n",
" ddb_daily_path = \"A\",\n",
" ddb_daily_dbname = \"B\",\n",
" partition_tbl_name = \"C\",\n",
" memory_tbl_name = \"D\",\n",
")"
]
},
{
"cell_type": "code",
"execution_count": 53,
"id": "5d758c68-301a-47a7-9cd2-b7dd7edf1a55",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"('\\n'\n",
" ' // 保证创建新的分区表不会和已经存在表冲突\\n'\n",
" ' if (existsTable(\"A\", \"C\")) {\\n'\n",
" ' dropTable(B, \"C\");\\n'\n",
" ' }\\n'\n",
" '\\n'\n",
" ' C = createPartitionedTable(\\n'\n",
" ' dbHandle = B,\\n'\n",
" ' table = D, \\n'\n",
" ' \"C\",\\n'\n",
" \" partitionColumns = 'code',\\n\"\n",
" \" compressMethods = {'m_nDate' : 'delta'},\\n\"\n",
" ' sortColumns = `code`m_nDate\\n'\n",
" ' );\\n')\n"
]
}
],
"source": [
"from pprint import pprint\n",
"pprint(code)"
]
},
{
"cell_type": "code",
"execution_count": 56,
"id": "400424d9-9c58-4417-94e4-fe1569522b03",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"{'chunkGranularity': 'TABLE',\n",
" 'chunkPath': None,\n",
" 'colDefs': name typeString typeInt comment\n",
"0 code SYMBOL 17 \n",
"1 m_nDate DATE 6 \n",
"2 kurto DOUBLE 16 ,\n",
" 'engineType': 'TSDB',\n",
" 'keepDuplicates': 'ALL',\n",
" 'partitionColumnIndex': 0,\n",
" 'partitionColumnName': 'code',\n",
" 'partitionColumnType': 17,\n",
" 'partitionSchema': 50,\n",
" 'partitionSites': None,\n",
" 'partitionType': 5,\n",
" 'partitionTypeName': 'HASH',\n",
" 'sortColumns': array(['code', 'm_nDate'], dtype=object)}\n"
]
}
],
"source": [
"pprint(\n",
" sess.run(\"\"\"\n",
" schema(loadTable(\"dfs://daily_stock_ts\", \"hft_daily_factor\"));\n",
" \"\"\")\n",
")"
]
},
{
"cell_type": "code",
"execution_count": 62,
"id": "68e74de8-359c-4c47-a361-2c006896211c",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>count</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>309906</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" count\n",
"0 309906"
]
},
"execution_count": 62,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"sess.run(\"\"\"\n",
" select count(*) from loadTable(\"dfs://daily_stock_ts\", \"hft_daily_factor\");\n",
"\"\"\")"
]
},
{
"cell_type": "code",
"execution_count": 21,
"id": "b1bd7605-c347-44f2-a90f-bc949cde0ef0",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
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" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>code</th>\n",
" <th>report_period</th>\n",
" <th>appear_in_period</th>\n",
" <th>appear_at_date</th>\n",
" <th>TOT_OPER_REV</th>\n",
" <th>OPER_REV</th>\n",
" <th>INT_INC</th>\n",
" <th>INSUR_PREM_UNEARNED</th>\n",
" <th>HANDLING_CHRG_COMM_INC</th>\n",
" <th>NET_INC_OTHER_OPS</th>\n",
" <th>...</th>\n",
" <th>OTHER_INCOME</th>\n",
" <th>MEMO</th>\n",
" <th>ASSET_DISPOSAL_INCOME</th>\n",
" <th>CONTINUED_NET_PROFIT</th>\n",
" <th>END_NET_PROFIT</th>\n",
" <th>CREDIT_IMPAIRMENT_LOSS</th>\n",
" <th>RD_EXPENSE</th>\n",
" <th>STMNOTE_FINEXP</th>\n",
" <th>FIN_EXP_INT_INC</th>\n",
" <th>TOT_OPER_COST2</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>000677.SZ</td>\n",
" <td>2009-12-31</td>\n",
" <td>2009-12-31</td>\n",
" <td>2010-04-26</td>\n",
" <td>3.514495e+09</td>\n",
" <td>3.514495e+09</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>26392229.68</td>\n",
" <td>...</td>\n",
" <td>0.0</td>\n",
" <td>nan</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>3.474455e+09</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>000677.SZ</td>\n",
" <td>2009-12-31</td>\n",
" <td>2009-12-31</td>\n",
" <td>2011-12-10</td>\n",
" <td>3.514495e+09</td>\n",
" <td>3.514495e+09</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>26392229.68</td>\n",
" <td>...</td>\n",
" <td>0.0</td>\n",
" <td>nan</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>3.460335e+09</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>2 rows × 69 columns</p>\n",
"</div>"
],
"text/plain": [
" code report_period appear_in_period appear_at_date TOT_OPER_REV \\\n",
"0 000677.SZ 2009-12-31 2009-12-31 2010-04-26 3.514495e+09 \n",
"1 000677.SZ 2009-12-31 2009-12-31 2011-12-10 3.514495e+09 \n",
"\n",
" OPER_REV INT_INC INSUR_PREM_UNEARNED HANDLING_CHRG_COMM_INC \\\n",
"0 3.514495e+09 0.0 0.0 0.0 \n",
"1 3.514495e+09 0.0 0.0 0.0 \n",
"\n",
" NET_INC_OTHER_OPS ... OTHER_INCOME MEMO ASSET_DISPOSAL_INCOME \\\n",
"0 26392229.68 ... 0.0 nan 0.0 \n",
"1 26392229.68 ... 0.0 nan 0.0 \n",
"\n",
" CONTINUED_NET_PROFIT END_NET_PROFIT CREDIT_IMPAIRMENT_LOSS RD_EXPENSE \\\n",
"0 0.0 0.0 0.0 0.0 \n",
"1 0.0 0.0 0.0 0.0 \n",
"\n",
" STMNOTE_FINEXP FIN_EXP_INT_INC TOT_OPER_COST2 \n",
"0 0.0 0.0 3.474455e+09 \n",
"1 0.0 0.0 3.460335e+09 \n",
"\n",
"[2 rows x 69 columns]"
]
},
"execution_count": 21,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import dolphindb as ddb \n",
"\n",
"sess = ddb.session('192.168.1.167', 8848)\n",
"sess.login('admin', '123456')\n",
"\n",
"sess.run(\"\"\"\n",
" is_common_adj = loadTable(\"dfs://pit_stock_ts\", \"is_common_adj\")\n",
" is_common_ori = loadTable(\"dfs://pit_stock_ts\", \"is_common_ori\")\n",
" select * from is_common_ori where code='000677.SZ' and report_period=2009.12.31\n",
"\"\"\")"
]
},
{
"cell_type": "code",
"execution_count": 25,
"id": "f0b3928d-c06f-4976-b568-091d98293a6e",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>code</th>\n",
" <th>report_period</th>\n",
" <th>appear_in_period</th>\n",
" <th>appear_at_date</th>\n",
" <th>TOT_OPER_REV</th>\n",
" <th>OPER_REV</th>\n",
" <th>INT_INC</th>\n",
" <th>INSUR_PREM_UNEARNED</th>\n",
" <th>HANDLING_CHRG_COMM_INC</th>\n",
" <th>NET_INC_OTHER_OPS</th>\n",
" <th>...</th>\n",
" <th>OTHER_INCOME</th>\n",
" <th>MEMO</th>\n",
" <th>ASSET_DISPOSAL_INCOME</th>\n",
" <th>CONTINUED_NET_PROFIT</th>\n",
" <th>END_NET_PROFIT</th>\n",
" <th>CREDIT_IMPAIRMENT_LOSS</th>\n",
" <th>RD_EXPENSE</th>\n",
" <th>STMNOTE_FINEXP</th>\n",
" <th>FIN_EXP_INT_INC</th>\n",
" <th>TOT_OPER_COST2</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>000677.SZ</td>\n",
" <td>2009-12-31</td>\n",
" <td>2010-12-31</td>\n",
" <td>2011-04-29</td>\n",
" <td>3.514495e+09</td>\n",
" <td>3.514495e+09</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>26392229.68</td>\n",
" <td>...</td>\n",
" <td>0.0</td>\n",
" <td>nan</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>3.474455e+09</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>1 rows × 69 columns</p>\n",
"</div>"
],
"text/plain": [
" code report_period appear_in_period appear_at_date TOT_OPER_REV \\\n",
"0 000677.SZ 2009-12-31 2010-12-31 2011-04-29 3.514495e+09 \n",
"\n",
" OPER_REV INT_INC INSUR_PREM_UNEARNED HANDLING_CHRG_COMM_INC \\\n",
"0 3.514495e+09 0.0 0.0 0.0 \n",
"\n",
" NET_INC_OTHER_OPS ... OTHER_INCOME MEMO ASSET_DISPOSAL_INCOME \\\n",
"0 26392229.68 ... 0.0 nan 0.0 \n",
"\n",
" CONTINUED_NET_PROFIT END_NET_PROFIT CREDIT_IMPAIRMENT_LOSS RD_EXPENSE \\\n",
"0 0.0 0.0 0.0 0.0 \n",
"\n",
" STMNOTE_FINEXP FIN_EXP_INT_INC TOT_OPER_COST2 \n",
"0 0.0 0.0 3.474455e+09 \n",
"\n",
"[1 rows x 69 columns]"
]
},
"execution_count": 25,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"sess.run(\"select * from is_common_adj where code='000677.SZ' and report_period=2009.12.31\")"
]
},
{
"cell_type": "code",
"execution_count": 29,
"id": "d68ea326-82c3-4a7c-97cf-c04dd8aee56b",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
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" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>sum_cnt</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>1468390810</td>\n",
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"</table>\n",
"</div>"
],
"text/plain": [
" sum_cnt\n",
"0 1468390810"
]
},
"execution_count": 29,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"sess = ddb.session('192.168.1.7', 8848)\n",
"sess.login('admin', '123456')\n",
"sess.run(\"\"\"\n",
"tbl = loadTable(\"dfs://hft_stock_ts\", 'TickPartitioned');\n",
"select sum(cnt) from (select count(*) as cnt from tbl map);\n",
"\"\"\")"
]
},
{
"cell_type": "code",
"execution_count": 38,
"id": "7cbc4906-7756-424a-9ce5-9d2b6d1bab4b",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
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" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
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"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>sum_cnt</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>4991926704</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" sum_cnt\n",
"0 4991926704"
]
},
"execution_count": 38,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"sess = ddb.session('192.168.1.7', 8848)\n",
"sess.login('admin', '123456')\n",
"sess.run(\"\"\"\n",
" tbl = loadTable(\"dfs://hft_stock_ts\", 'TickPartitioned');\n",
" select sum(cnt) from (select count(*) as cnt from tbl map);\n",
"\"\"\")"
]
},
{
"cell_type": "code",
"execution_count": 39,
"id": "e9ab5e57-dce5-4426-9bac-4238cd067197",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
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" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>sum_cnt</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>9388749</td>\n",
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"</table>\n",
"</div>"
],
"text/plain": [
" sum_cnt\n",
"0 9388749"
]
},
"execution_count": 39,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"sess.run(\"\"\"\n",
" select sum(cnt) from (select count(*) as cnt from tbl where code='002182.SZ' map);\n",
"\"\"\")"
]
},
{
"cell_type": "code",
"execution_count": 100,
"id": "4ba45027-bbb5-4b27-99da-3452cc8d2f1c",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
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" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>count</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>2227</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" count\n",
"0 2227"
]
},
"execution_count": 100,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"sess.run(\"\"\"\n",
" select count(*) from (\n",
" select code, m_nDate, count(*) as cnt from tbl where code='002459.SZ' group by code, m_nDate map\n",
" );\n",
"\"\"\")"
]
},
{
"cell_type": "code",
"execution_count": 103,
"id": "29ab8af5-e571-4064-b691-a186d9fb4d08",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>count</th>\n",
" </tr>\n",
" <tr>\n",
" <th>m_nDate</th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
"Empty DataFrame\n",
"Columns: [count]\n",
"Index: []"
]
},
"execution_count": 103,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df = sess.run(\"\"\"\n",
" select m_nDate, count(*) from tbl where code='002458.SZ' group by m_nDate having count(*) > 5000 map;\n",
"\"\"\").set_index('m_nDate')\n",
"df"
]
},
{
"cell_type": "code",
"execution_count": 51,
"id": "013d191b-2a41-4d7b-8382-b6ee8764c2d0",
"metadata": {},
"outputs": [],
"source": [
"import sqlalchemy as sa\n",
"engine = sa.create_engine(\n",
" 'mssql+pyodbc://sa:passw0rd!@192.168.1.7/master?driver=ODBC+Driver+18+for+SQL+Server',\n",
" connect_args = {\n",
" \"TrustServerCertificate\": \"yes\"\n",
" }, echo=False)"
]
},
{
"cell_type": "code",
"execution_count": 54,
"id": "c90e8e9d-cde0-4a7a-afd3-ea771483f001",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'20130104'"
]
},
"execution_count": 54,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"with engine.connect() as conn:\n",
" rows = conn.execute(\"select * from [Level2BytesTick].dbo.[Tick] where S_INFO_WINDCODE='002182.SZ'\").fetchall()\n",
" rows = [row for row in rows]\n",
" "
]
},
{
"cell_type": "code",
"execution_count": 58,
"id": "525dfcf1-720a-4b65-90b5-28d0c2118cf5",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"True"
]
},
"execution_count": 58,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import pandas as pd\n",
"dt = pd.to_datetime(rows[0][1], format='%Y%m%d')\n",
"dt in df.index"
]
},
{
"cell_type": "code",
"execution_count": 31,
"id": "0e6e949b-ff25-40eb-a70a-72a3a6639aec",
"metadata": {},
"outputs": [
{
"ename": "RuntimeError",
"evalue": "<Exception> in run: Failed to read response header from the socket with IO error type 13",
"output_type": "error",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mRuntimeError\u001b[0m Traceback (most recent call last)",
"Input \u001b[0;32mIn [31]\u001b[0m, in \u001b[0;36m<cell line: 15>\u001b[0;34m()\u001b[0m\n\u001b[1;32m 1\u001b[0m code \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m\"\"\"\u001b[39m\n\u001b[1;32m 2\u001b[0m \u001b[38;5;124mtbl = loadTable(\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mdfs://hft_stock_ts\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m, \u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mTickPartitioned\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m)\u001b[39m\n\u001b[1;32m 3\u001b[0m \n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 13\u001b[0m \u001b[38;5;124m}\u001b[39m\n\u001b[1;32m 14\u001b[0m \u001b[38;5;124m\"\"\"\u001b[39m\n\u001b[0;32m---> 15\u001b[0m \u001b[43msess\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mrun\u001b[49m\u001b[43m(\u001b[49m\u001b[43mcode\u001b[49m\u001b[43m)\u001b[49m\n",
"File \u001b[0;32m~/.venv/tinysoft/lib/python3.8/site-packages/dolphindb/session.py:161\u001b[0m, in \u001b[0;36msession.run\u001b[0;34m(self, script, *args, **kwargs)\u001b[0m\n\u001b[1;32m 159\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mfetchSize\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;129;01min\u001b[39;00m kwargs\u001b[38;5;241m.\u001b[39mkeys():\n\u001b[1;32m 160\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m BlockReader(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mcpp\u001b[38;5;241m.\u001b[39mrunBlock(script, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs))\n\u001b[0;32m--> 161\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcpp\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mrun\u001b[49m\u001b[43m(\u001b[49m\u001b[43mscript\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n",
"\u001b[0;31mRuntimeError\u001b[0m: <Exception> in run: Failed to read response header from the socket with IO error type 13"
]
}
],
"source": [
"code = \"\"\"\n",
"tbl = loadTable(\"dfs://hft_stock_ts\", 'TickPartitioned')\n",
"\n",
"for (code in ['000666.SZ' , '000667.SZ', '000668.SZ', '000669.SZ']) {\n",
"\tdel_date = 2013.01.01\n",
"\t//end_date = 2013.01.31\n",
"\tdo {\n",
"\t\t//print('Deleting ' + code + ' from ' + start_date + ' to ' + end_date);\n",
"\t\tprint('Deleting ' + code + ' of ' + del_date);\n",
"\t\tdelete from tbl where m_nDate=del_date, code=code;\n",
"\t\tdel_date = temporalAdd(del_date, 1, \"d\");\n",
"\t} while (del_date <= 2022.12.31)\n",
"}\n",
"\"\"\"\n",
"# 这段代码运行好赶紧注释掉，非常危险\n",
"# sess.run(code)"
]
},
{
"cell_type": "code",
"execution_count": 37,
"id": "ea0501e7-d416-45ce-add5-e443c55f158c",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>code</th>\n",
" <th>industry_code</th>\n",
" <th>industry_name</th>\n",
" <th>industry_level</th>\n",
" <th>enter_date</th>\n",
" <th>exit_date</th>\n",
" <th>is_new</th>\n",
" <th>industry_class</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>000017.SZ</td>\n",
" <td>SWHY310000</td>\n",
" <td>申万交运设备</td>\n",
" <td>1</td>\n",
" <td>1992-03-31</td>\n",
" <td>2011-10-10</td>\n",
" <td>0</td>\n",
" <td>SWHY</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>000017.SZ</td>\n",
" <td>SWHY310300</td>\n",
" <td>申万非汽车交运设备</td>\n",
" <td>2</td>\n",
" <td>1992-03-31</td>\n",
" <td>2011-10-10</td>\n",
" <td>0</td>\n",
" <td>SWHY</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>000017.SZ</td>\n",
" <td>SWHY310301</td>\n",
" <td>申万摩托车</td>\n",
" <td>3</td>\n",
" <td>1992-03-31</td>\n",
" <td>2011-10-10</td>\n",
" <td>0</td>\n",
" <td>SWHY</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>000017.SZ</td>\n",
" <td>SWHY310000</td>\n",
" <td>申万交运设备</td>\n",
" <td>1</td>\n",
" <td>2011-10-10</td>\n",
" <td>2014-02-21</td>\n",
" <td>0</td>\n",
" <td>SWHY</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>000017.SZ</td>\n",
" <td>SWHY310300</td>\n",
" <td>申万非汽车交运设备</td>\n",
" <td>2</td>\n",
" <td>2011-10-10</td>\n",
" <td>2014-02-21</td>\n",
" <td>0</td>\n",
" <td>SWHY</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>95</th>\n",
" <td>000157.SZ</td>\n",
" <td>SWHY260202</td>\n",
" <td>申万工程机械</td>\n",
" <td>3</td>\n",
" <td>2000-10-12</td>\n",
" <td>2014-02-21</td>\n",
" <td>0</td>\n",
" <td>SWHY</td>\n",
" </tr>\n",
" <tr>\n",
" <th>96</th>\n",
" <td>000157.SZ</td>\n",
" <td>SWHY640000</td>\n",
" <td>申万机械设备</td>\n",
" <td>1</td>\n",
" <td>2014-02-21</td>\n",
" <td>2021-12-13</td>\n",
" <td>0</td>\n",
" <td>SWHY</td>\n",
" </tr>\n",
" <tr>\n",
" <th>97</th>\n",
" <td>000157.SZ</td>\n",
" <td>SWHY640200</td>\n",
" <td>申万专用设备</td>\n",
" <td>2</td>\n",
" <td>2014-02-21</td>\n",
" <td>2021-12-13</td>\n",
" <td>0</td>\n",
" <td>SWHY</td>\n",
" </tr>\n",
" <tr>\n",
" <th>98</th>\n",
" <td>000157.SZ</td>\n",
" <td>SWHY640201</td>\n",
" <td>申万工程机械</td>\n",
" <td>3</td>\n",
" <td>2014-02-21</td>\n",
" <td>2021-12-13</td>\n",
" <td>0</td>\n",
" <td>SWHY</td>\n",
" </tr>\n",
" <tr>\n",
" <th>99</th>\n",
" <td>000157.SZ</td>\n",
" <td>SWHY640000</td>\n",
" <td>申万机械设备</td>\n",
" <td>1</td>\n",
" <td>2021-12-13</td>\n",
" <td>NaT</td>\n",
" <td>1</td>\n",
" <td>SWHY</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>100 rows × 8 columns</p>\n",
"</div>"
],
"text/plain": [
" code industry_code industry_name industry_level enter_date \\\n",
"0 000017.SZ SWHY310000 申万交运设备 1 1992-03-31 \n",
"1 000017.SZ SWHY310300 申万非汽车交运设备 2 1992-03-31 \n",
"2 000017.SZ SWHY310301 申万摩托车 3 1992-03-31 \n",
"3 000017.SZ SWHY310000 申万交运设备 1 2011-10-10 \n",
"4 000017.SZ SWHY310300 申万非汽车交运设备 2 2011-10-10 \n",
".. ... ... ... ... ... \n",
"95 000157.SZ SWHY260202 申万工程机械 3 2000-10-12 \n",
"96 000157.SZ SWHY640000 申万机械设备 1 2014-02-21 \n",
"97 000157.SZ SWHY640200 申万专用设备 2 2014-02-21 \n",
"98 000157.SZ SWHY640201 申万工程机械 3 2014-02-21 \n",
"99 000157.SZ SWHY640000 申万机械设备 1 2021-12-13 \n",
"\n",
" exit_date is_new industry_class \n",
"0 2011-10-10 0 SWHY \n",
"1 2011-10-10 0 SWHY \n",
"2 2011-10-10 0 SWHY \n",
"3 2014-02-21 0 SWHY \n",
"4 2014-02-21 0 SWHY \n",
".. ... ... ... \n",
"95 2014-02-21 0 SWHY \n",
"96 2021-12-13 0 SWHY \n",
"97 2021-12-13 0 SWHY \n",
"98 2021-12-13 0 SWHY \n",
"99 NaT 1 SWHY \n",
"\n",
"[100 rows x 8 columns]"
]
},
"execution_count": 37,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"sess.run(\"\"\"\n",
"tbl = loadTable(\"dfs://info_stock_ts\", 'info_industry');\n",
"select top 100 * from tbl map;\n",
"\"\"\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "16dd860d-049f-420e-8d04-d1f8969e5ed1",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.8.13"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
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