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slurm-2sql.ipynb

+%% Cell type:code id: tags:
+
+``` python
+import sqlite3
+import slurm2sql
+import pandas as pd
+```
+
+%% Cell type:code id: tags:
+
+``` python
+db = sqlite3.connect('test.db')
+slurm2sql.slurm2sql(db, ['-S', '2020-03-18', '-a'])
+```
+
+%%%% Output: execute_result
+
+    0
+
+%% Cell type:code id: tags:
+
+``` python
+# For example, you can then convert to a dataframe:
+df1 = pd.read_sql('SELECT * FROM slurm', db)
+```
+
+%% Cell type:code id: tags:
+
+``` python
+df1.head(5)
+```
+
+%%%% Output: execute_result
+
+         JobID  ArrayJobID  ArrayTaskID JobStep            JobIDSlurm  \
+    0  3319116     3319116          NaN    None  3319116_[43-45,47%5]   
+    1  3927198     3887451         30.0    None            3887451_30   
+    2  3927198     3887451         30.0   batch      3887451_30.batch   
+    3  3927198     3887451         30.0  extern     3887451_30.extern   
+    4  3927199     3887451         31.0    None            3887451_31   
+    
+            JobName      User     Group   Account      State  ...  \
+    0      1mUD1MPa  user  user  user    PENDING  ...   
+    1  100kCrC20MPa  user  user  user  COMPLETED  ...   
+    2         batch                      user  COMPLETED  ...   
+    3        extern                      user  COMPLETED  ...   
+    4  100kCrC20MPa  user  user  user  COMPLETED  ...   
+    
+       MaxDiskReadNode  MaxDiskReadTask  MaxDiskWrite  MaxDiskWriteNode  \
+    0                                             NaN                     
+    1                                             NaN                     
+    2            c0088                0  1.222336e+10             c0088   
+    3            c0088                0  0.000000e+00             c0088   
+    4                                             NaN                     
+    
+       MaxDiskWriteTask  ReqGPUS Comment GPUMem  GPUEff  NGPU  
+    0                        NaN    None   None    None  None  
+    1                        NaN    None   None    None  None  
+    2                 0      NaN    None   None    None  None  
+    3                 0      NaN    None   None    None  None  
+    4                        NaN    None   None    None  None  
+    
+    [5 rows x 63 columns]
+
+%% Cell type:code id: tags:
+
+``` python
+
+```