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Bind_variables_Managing_Transactions/dpy-3002-python-value-of-type-int64-is-not-supported-i-need-to-combine-my-co9_59_0.txt
cx_Oracle.NotSupportedError: Python value of type NAType not supported 1
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Re: Optimized way to read variable length csv file Posted 06-04-2021 01:16 AM (3841 views) | In reply to hhh123
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Bind_variables_Managing_Transactions/Managing_Transactions_2_0.txt
## 9.2. Explicit Transactions  The method [ ` Connection.begin() ` ](../api_manual/connection.html#Connection.begin "Connection.begin") can be used to explicitly start a local or global transaction. Without parameters, this explicitly begins a local transaction; otherwise, this explicitly begins a distributed (g...
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0 I have the below code which I use cx_oracle to pull from data base and pass variable from a csv file. the variable 'unitid' does have dtype is int64 but I tried multiple conversions and non worked.
Bind_variables_Managing_Transactions/dpy-3002-python-value-of-type-int64-is-not-supported-i-need-to-combine-my-co9_36_0.txt
answered Apr 19 at 20:34 Anthony Tuininga Anthony Tuininga
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Bind_variables_Managing_Transactions/Managing_Transactions_1_0.txt
## 9.1. Autocommitting  An alternative way to commit is to set the attribute [ ` autocommit ` ](../api_manual/connection.html#Connection.autocommit "Connection.autocommit") of the connection to ` True ` . This ensures all [ DML ](sql_execution.html#dml) statements (INSERT, UPDATE, and so on) are committed as the...
Bind_variables_Managing_Transactions/Bind_variables_4_0.txt
## 7.4. Binding ROWID Values  The pseudo-column ` ROWID ` uniquely identifies a row in a table. In python- oracledb, ROWID values are represented as strings. The example below shows fetching a row and then updating that row by binding its rowid: # fetch the row cursor.execute(""" se...
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Originally posted by Clyde Schechter View Post 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)...
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0 This link shows my csv file and graph.
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Variable value not supported problem, python 0
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Re: Optimized way to read variable length csv file Posted 06-03-2021 10:58 AM (3877 views) | In reply to hhh123
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1 Should I use a unique constraint in a table even though it isn't necessarily required?
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## 7.1. Binding by Name or Position  Binding can be done “by name” or “by position”. ### 7.1.1. Bind by Name  A named bind is performed when the bind variables in the Python statement use the names of placeholders in the SQL or PL/SQL statement. For example: cursor.execute(""" inse...
Bind_variables_Managing_Transactions/dpy-3002-python-value-of-type-int64-is-not-supported-i-need-to-combine-my-co9_58_0.txt
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> * * * > > @hhh123 wrote: > ##- 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.-## > > * * * When I see a statement that "column name and width" can change I suggest approaching the source of the file ...
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So is there any optimal way to handle this situation which reduces the time to read and does not consume lot of memory? 0 Likes
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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(ch...
Bind_variables_Managing_Transactions/how-to-convert-string-from-csv-to-hoursminutes4_23_0.txt
Either the data could no be shown on y axis because it did not represent number like variable to plot or I've got not proper representation of the data. I was trying to create something like converting seconds to calculate with divmod than put them on the top of the bars with annonate.
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02 Apr 2018, 12:39 Even with Stata/IC, you can have ~2 billion observations so I don't see a technical reason preventing Stata from analyzing the data altogether, per se. I have not tried to import such a large file into Stata, so I tested the scenario with dummy data to see if the import facility would have issues. M...
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8 SQL Server unique constraint (but only sometimes)
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drop _all import delimited id x using test.csv On my reasonably fast machine, this took a few minutes to read in all data. So that shows there s no issue with importing a large file. Summary statistics (and other commands) would then be used as normal, though given the size of the dataset, I expe...
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drop _all import delimited id x using test.csv On my reasonably fast machine, this took a few minutes to read in all data. So that shows there s no issue with importing a large file. Summary statistics (and other commands) would then be used as normal, though given the size of the dataset, I expe...
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Code: set obs 58000000 gen id = _n gen x = rnormal(0, 1) export delimited test.csv
Bind_variables_Managing_Transactions/7454351_20_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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Variables  SQL and PL/SQL statements that pass data to and from Oracle Database should use placeholders in SQL and PL/SQL statements that mark where data is supplied or returned. A bind variable placeholder is a colon-prefixed identifier or numeral. For example, ` :dept_id ` and ` :dept_name ` are the two bind var...
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## 7.5. Binding UROWID Values  Universal rowids (UROWID) are used to uniquely identify rows in index organized tables. In python-oracledb, UROWID values are represented as strings. The example below shows fetching a row from index organized table ` universal_rowids ` and then updating that row by binding its urow...
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02 Apr 2018, 11:17 Good afternoon, I am new STATA use and working with a very large .csv file (58 million observations and 24 variables). I am trying to figure out the best way to analyze this data. The statistics that I am looking for from this dataset are not complicated (primarily just summary statistics). I w...
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jsdisco January 22, 2021, 8:40pm 3 Math is your friend. For each day, you take the previous value and multiply it with the same factor: