ColdFusion: Outputting Query

Consider the ColdFusion query below: <CFQUERY name=”get_BillInfo” datasource=”MJ_Escrutinio”> Select BillNum, BillType, SpanDesc, EnglDesc, Conferencia, FortalezaRef, Equivalencia, FortalezaSuffix From dbo.LT_Bills Where BillID = #BillID# </CFQUERY> I’m having difficulties in running this query in Pycharm using a Microsoft SQL Server connector, is shows me the following error “Invalid column name ‘BillID’”, is there any possibility or translation…

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Could not decode json type for key: file_name in a Spring Cloud Data Flow stream

I use Spring Cloud Data Flow to set up a stream that read a CSV file, transform it using a custom processor and log it : stream create –name testsourcecsv –definition “file –mode=lines –directory=D:/toto/ –file.filename-pattern=adresses-28.csv –maxMessages=1000 | csvToMap –spring.cloud.stream.bindings.output.content-type=application/json | log –spring.cloud.stream.bindings.input.content-type=application/json” –deploy The file and csvToMap applications work fine, but in the log application…

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Cannot install Solidity v0.5.13 in MacOS

Mac Os: Catalina 10.15.1 Z3 Version: 4.8.5 boost Version: 1.71.0 CMake Version: 3.15.5 When I installed solidity 0.5.13 by CMD: brew install solidity, I received : ==> Installing solidity from ethereum/ethereum ==> Downloading https://github.com/ethereum/solidity/releases/download/v0.5.13/solidity_0.5.13.tar.gz Already downloaded: /Users/programmerc/Library/Caches/Homebrew/downloads/10d4ef01a7a6c544f5ac03c9e5ee6c5696d50553003261ad062b07074e2ddc06–solidity_0.5.13.tar.gz ==> cmake . -DCMAKE_C_FLAGS_RELEASE=-DNDEBUG -DCMAKE_CXX_FLAGS_RELEASE=-DNDEBUG -DCMAKE_INSTALL_PREFIX=/usr/local/Cellar/solidity/0.5.13 -DCMA ==> make install Last 15 lines from /Users/programmerc/Library/Logs/Homebrew/solidity/02.make: ^ /Library/Developer/CommandLineTools/usr/bin/../include/c++/v1/memory:4334:28: error:…

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How to create a repeated dataframe over time and map it to a list of time?

I have created the below dataframe: df = pd.DataFrame() df[‘date’] = pd.date_range(start=”2019-12-01″, end=”2019-12-20″, freq=’D’) Output: date 0 2019-12-01 1 2019-12-02 2 2019-12-03 3 2019-12-04 4 2019-12-05 5 2019-12-06 6 2019-12-07 7 2019-12-08 8 2019-12-09 9 2019-12-10 10 2019-12-11 11 2019-12-12 12 2019-12-13 13 2019-12-14 14 2019-12-15 15 2019-12-16 16 2019-12-17 17 2019-12-18 18 2019-12-19 19…

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