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Bind_variables_Managing_Transactions/dpy-3002-python-value-of-type-int64-is-not-supported-i-need-to-combine-my-co9_39_0.txt
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Bind_variables_Managing_Transactions/7454351_13_0.txt
data WORK.&wrk_table. ; infile &var_fref delimiter = "&delimiter" MISSOVER DSD lrecl=32767 firstobs=2 ; attrib MEMBER_ID informat=$32. format=$32.; /*prop_list - Contains list of other column names*/ %do p=1 %to %sysfunc(countw(&prop_list)); attrib %scan(&prop_list,&p) informat=$255....
Bind_variables_Managing_Transactions/1437166-very-large-csv-file0_10_0.txt
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1 * To be pedantic (to help future readers of your question) If you get DPY-3002 you are not using cx_Oracle. You are using python-oracledb.
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Re: Optimized way to read variable length csv file Posted 06-04-2021 12:46 AM (3843 views) | In reply to ballardw
Bind_variables_Managing_Transactions/Bind_variables_9_1.txt
code to process an IN/OUT collections is similar. Note the different call to [ ` Cursor.arrayvar() ` ](../api_manual/cursor.html#Cursor.arrayvar "Cursor.arrayvar") which creates space for an array of strings, but uses an array to determine both the maximum length of the array and its initial value. in_v...
Bind_variables_Managing_Transactions/7454351_34_0.txt
Posted 06-03-2021 09:28 AM (3888 views) | In reply to hhh123 Is this file static? Do you get multiple copies of it over time? (like a weekly or monthly delivery)
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Bind_variables_Managing_Transactions/dpy-3002-python-value-of-type-int64-is-not-supported-i-need-to-combine-my-co9_62_0.txt
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Bind_variables_Managing_Transactions/1437166-very-large-csv-file0_35_0.txt
Hi, I am working with large csv files some of which having the size of 1 to 2 GB. But I cannot even import them to Stata in such a short time, for example with one 1.53 GB file I had to wait 2 hours and in the end the process was not complete and stata stopped responding. I would appreciate your comment on this an...
Bind_variables_Managing_Transactions/7454351_4_0.txt
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Bind_variables_Managing_Transactions/dpy-3002-python-value-of-type-int64-is-not-supported-i-need-to-combine-my-co9_24_0.txt
def InConverter(value): return int(value) # or whatever is needed to convert from numpy.int64 to an integer def InputTypeHandler(cursor, value, num_elements): if isinstance(value, numpy.int64): return cursor.var(int, arraysize=num_elements, inconverter=InConverter) ...
Bind_variables_Managing_Transactions/7454351_10_0.txt
Posted 06-03-2021 07:51 AM (3928 views) Hi,
Bind_variables_Managing_Transactions/7454351_39_0.txt
##- This is not a static file and column name and width can change in each run. Due to this usecase I have previously used PROC IMPORT to read the file.-## 0 Likes
Bind_variables_Managing_Transactions/7454351_44_0.txt
Used to do some contract data-related work for a large company and they asked us "why do you charge us a programming surcharge so often". When we explained that 1) the order of columns in the data they provided, 2) column headings changed and 3) structure of the content in some of those columns changed multiple times p...
Bind_variables_Managing_Transactions/7454351_36_0.txt
hhh123 Fluorite | Level 6
Bind_variables_Managing_Transactions/7454351_48_0.txt
Actually this is kind of a generic application on which I am working. This is to be used by multiple consumers each having their own structure of csv file. So basically I need to handle this varied length and column in code part itself. 0 Likes
Bind_variables_Managing_Transactions/how-to-convert-string-from-csv-to-hoursminutes4_27_0.txt
edited Jan 10, 2023 at 3:13 Carlos Luis Rivera
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Bind_variables_Managing_Transactions/how-to-convert-string-from-csv-to-hoursminutes4_35_0.txt
I've made some related and use ` pandasDataFrame.plot ` >>> import pandas as pd >>> df = pd.DataFrame() >>> df["activity"] = ['run', 'swim', 'drive'] >>> df["avg"] = [86400,43200,21600] >>> df activity avg 0 run 86400 1 swim 43200 2 drive 21600 >>>...
Bind_variables_Managing_Transactions/1437166-very-large-csv-file0_32_0.txt
Code: set obs 58000000 gen id = _n gen x = rnormal(0, 1) export delimited test.csv
Bind_variables_Managing_Transactions/7454351_26_0.txt
data _null_; infile &var_fref obs=1 ; input; call symputx('varlist',translate(_infile_,' ',"&delimiter")); run; data &wrk_table. (compress=yes) ; length MEMBDER_ID $32 &varlist $255 ; infile &var_fref dsd dlm = "&delimiter" truncover firstobs=2 ; input &var...
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Bind_variables_Managing_Transactions/Bind_variables_12_0.txt
## 7.12. Changing Bind Data Types using an Input Type Handler  Input Type Handlers allow applications to change how data is bound to statements, or even to enable new types to be bound directly. An input type handler is enabled by setting the attribute [ ` Cursor.inputtypehandler ` ](../api_manual/cursor.html#Cu...
Bind_variables_Managing_Transactions/dpy-3002-python-value-of-type-int64-is-not-supported-i-need-to-combine-my-co9_70_0.txt
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I have a comma delimited csv file which has around 240 columns. These columns are of variable length hence I have used PROC IMPORT(as below) to read the file. PROC IMPORT OUT= WORK.&table_name. DATAFILE= holdit DBMS=DLM REPLACE; DELIMITER="&delimiter."; GETNAMES=YES; DATAROW=2; ...
Bind_variables_Managing_Transactions/1437166-very-large-csv-file0_47_0.txt
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Re: Optimized way to read variable length csv file Posted 06-03-2021 09:31 AM (3886 views) | In reply to Tom
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#1 ## Very Large CSV file
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Code: capture program drop save_one_chunk program define save_one_chunk local chunk_num = chunk[1] drop chunk save chunk_`chunk_num', replace exit end import delimited my_big_csv_file.csv, clear gen int chunk = ceil(_n/10000000) runby save_one_chunk, by(chunk)
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global path "E:/Comtradet" import delimited "E:\Comtrade\type-C_r-ALL_ps-1977_freq-A_px-S2_pub-20041207_fmt-csv_ex-20190512", clear cd "$path" some commands compress save "$path/1977.dta", replace Which actually worked but this is my ...
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This took about 10 minutes to write out a ~1.0 GB file with the 58M observations and 2 variables. I then imported the dataset using: Code:
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## Optimized way to read variable length csv file
Bind_variables_Managing_Transactions/1437166-very-large-csv-file0_25_0.txt
This took about 10 minutes to write out a ~1.0 GB file with the 58M observations and 2 variables. I then imported the dataset using: Code:
Bind_variables_Managing_Transactions/7454351_2_0.txt
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How to Concatenate Values Learn how use the CAT functions in SAS to join values from multiple variables into a single value.
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I want to represent the AVG number (which are seconds actually) as hour(s):minute(s) on y axis. I think, it cannot be solved because I spent 3 days wit this problem. But to be more precise, aside of lot of conversations with dateime, timedelta, timestamp nothing worked.
Bind_variables_Managing_Transactions/Bind_variables_8_0.txt
## 7.8. REF CURSOR Bind Variables  Python-oracledb provides the ability to bind and define PL/SQL REF cursors. As an example, consider the PL/SQL procedure: CREATE OR REPLACE PROCEDURE find_employees ( p_query IN VARCHAR2, p_results OUT SYS_REFCURSOR ) AS BEGIN OPEN p...
Bind_variables_Managing_Transactions/1437166-very-large-csv-file0_43_0.txt
As I said I cannot even import the data successfully. Please let me know if I have made mistakes in my script. To check if the code works I even tried this with only one file in my directory and still the same thing happened. Then I tried importing a single csv file using the code below: Code:
Bind_variables_Managing_Transactions/7454351_27_0.txt
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8 Are unique constraints on the DB necessary?
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Instead of putting only column names into a macro variable, have a dataset that describes all the necessary variable attributes (name, type, length, informat, format) and use that in a DATA _NULL_ step which creates the import code with CALL EXECUTE. Maxims of Maximally Efficient SAS Programmers How to convert datas...
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Later I have used Timple . I do not understand how should I create an acceptable datatype for this.
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To use this, you must install the -runby- command, written by Robert Picard and me, available from SSC. This code will create 6 Stata data sets, called chunk1.dta through chunk6.dta, each containing 10,000,000 observations (except the last will be a bit smaller.) But frankly, for the purpose you describe, I'd just...
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cursor().inputtypehandler = InputTypeHandler creates a cursor, sets the attribute and then destroys the cursor! That isn't what you want. You can set the type handler directly on the connection (as in ` connection.inputtypehandler = InputTypeHandler ` ), or you have to do this:
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answered Jan 5, 2023 at 6:51 user11717481 user11717481
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1 Forcing a field uniqueness on the database is it a bad design
Bind_variables_Managing_Transactions/how-to-convert-string-from-csv-to-hoursminutes4_36_0.txt
To represent time transcurred for a certain number of seconds you can use ` fromtimestamp ` and formatting ` strftime ` but it might not be compatible with matplotlib, then using ` Timple ` is something related, but graph could not be properly plotted or maybe it is needed to perform something like explore data or app...
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Bind_variables_Managing_Transactions/Bind_variables_9_0.txt
## 7.9. Binding PL/SQL Collections  PL/SQL Collections like Associative Arrays can be bound as IN, OUT, and IN/OUT variables. When binding IN values, an array can be passed directly as shown in this example, which sums up the lengths of all of the strings in the provided array. First the PL/SQL package definition:...
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Bind_variables_Managing_Transactions/how-to-convert-string-from-csv-to-hoursminutes4_41_0.txt
* ` szekond = CustomJSTickFormatter(code = ''' let mins = Math.floor(parseInt(tick)/60); let m = mins%60 < 10 ? "0"+mins%60 : mins%60; let hours = Math.floor(mins/60); let h = hours < 10 ? "0"+hours : hours; return h + ":" +m; ''') ` This what I wanted. Sorry for format I am noob – ptr808
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Bind_variables_Managing_Transactions/7454351_30_0.txt
Thanks @Tom , that worked perfectly. It took around 2 minutes to read the data and dataset was compressed to 1 GB only. I just need to verify if reading this compressed dataset in other data steps increases any processing time or not.
Bind_variables_Managing_Transactions/1437166-very-large-csv-file0_18_0.txt
Well, I'm not convinced that breaking the data into subsets and then combining the descriptive statistics is really the best way to go here. I think the time it will take you to code the re-combination of the descriptive statistics (and the risk of doing it incorrectly) will outweigh the time it will take you to just r...
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