Tuesday, November 23, 2021
Python - Script Debug DBMS
Thursday, November 11, 2021
SQL - scripts DBA
/*query DBAs */
--=================================================================================
/*Consulta Tamanho das Tabelas*/
SELECT
CASE
when t.NAME = '/BIC/FZSD_C23' then 'WS - Vendas Integradas Histórico'
when t.NAME = '/BIC/VZSD_C23F' then 'FACTVIEW - INFOCUBE ZSD_C23 '
ELSE '???' END as ETL,
t.NAME AS Entidade,
COUNT(DISTINCT(p.partition_id)) AS partition_id,
SUM(DISTINCT(p.rows)) AS Registros,
COUNT(DISTINCT(c.column_id)) AS Qtd_Cols,
SUM(a.total_pages) * 8 AS EspacoTotalKB,
SUM(a.used_pages) * 8 AS EspacoUsadoKB,
(SUM(a.total_pages) - SUM(a.used_pages)) * 8 AS EspacoNaoUsadoKB,
MAX(t.modify_date) AS Ultima_Atualizacao,
MAX(t.create_date) AS Ultima_Atualizacao2
FROM
sys.tables t
INNER JOIN
sys.all_columns c ON t.OBJECT_ID = c.OBJECT_ID
INNER JOIN
sys.indexes i ON t.OBJECT_ID = i.object_id
INNER JOIN
sys.partitions p ON i.object_id = p.OBJECT_ID AND i.index_id = p.index_id
INNER JOIN
sys.allocation_units a ON p.partition_id = a.container_id
LEFT OUTER JOIN
sys.schemas s ON t.schema_id = s.schema_id
WHERE upper(t.NAME) LIKE upper( '%logy%' )
--t.NAME NOT LIKE 'xpto%' and
--t.is_ms_shipped = 0 and
--i.OBJECT_ID > 255
GROUP BY
t.Name -- ,p.partition_id
ORDER BY Ultima_Atualizacao DESC ,
4 desc
--Registros DESC ;
--=================================================================================
/*Consulta Colunas das Tabelas like*/
SELECT distinct
t.NAME AS Entidade,
c.Name AS Coluna , c.max_length, c.precision, c.object_id
FROM
sys.tables t
INNER JOIN
--select * from
sys.all_columns c ON t.OBJECT_ID = c.OBJECT_ID
INNER JOIN
sys.indexes i ON t.OBJECT_ID = i.object_id
INNER JOIN
sys.partitions p ON i.object_id = p.OBJECT_ID AND i.index_id = p.index_id
INNER JOIN
sys.allocation_units a ON p.partition_id = a.container_id
LEFT OUTER JOIN
sys.schemas s ON t.schema_id = s.schema_id
WHERE upper(c.NAME) LIKE upper( '%logy%' )
--t.NAME NOT LIKE 'xpto%' and
--t.is_ms_shipped = 0 and
--i.OBJECT_ID > 255
order by 1,2
--=================================================================================
/*Consulta Global Variables
select @@VERSION ;
select @@SERVERNAME ;
select @@CONNECTIONS ;
select @@MAX_CONNECTIONS ;
select @@CPU_BUSY ;
select @@ERROR ;
select @@IDENTITY ;
select @@IDLE ;
select @@IO_BUSY ;
select @@LANGID ;
select @@LANGUAGE ;
--select @@MAXCHARLEN ;
select @@PACK_RECEIVED ;
select @@PACK_SENT ;
select @@PACKET_ERRORS ;
select @@ROWCOUNT ;
select @@SPID ;
select @@TEXTSIZE ;
select @@TIMETICKS ;
select @@TOTAL_ERRORS ;
select @@TOTAL_READ / @@TOTAL_WRITE ;
select @@TRANCOUNT ;
*/
Wednesday, September 15, 2021
Power BI Service - Power Query - DataFormat.Error: Invalid cell value '#N/A'
There are two points to be evaluated:
1. If you want to discard the errors
In this case, just run:
#"Removed errors" = Table.RemoveRowsWithErrors(StepBefore),
2. Whether to adjust errors due to some columns having value for analysis.
You should select the errors to punctually analyze the non-wrong values and then run the following scripts:
#"Kept errors" = Table.SelectRowsWithErrors(StepBefore),
#"Replaced errors" = Table.ReplaceErrorValues(#"Kept errors", {{[ColumnWithError], null}}),
After detecting the column in error, you can delete the Step:
#"Kept errors" = Table.SelectRowsWithErrors(StepBefore),
I hope help us!!!
Wednesday, July 21, 2021
Power BI with Python 3.7 - Step by Step
#Commands
conda --version
python --version
conda info --envs
conda info
conda list
conda env list
conda list -n myenv scipy
conda search jupyter
conda list
conda search tensorflow
#Install/Uninstall Commands
conda install --help (...)
conda remove -n PyPWBI --all -y
#IMPORT Environment
conda create --name PyPWBI python=3.7
conda deactivate
conda activate PyPWBI
source activate PyPWBI (validar...)
conda install numpy pandas matplotlib seaborn scikit-learn jupyter nose scipy
conda install -c conda-forge squarify
conda install -c conda-forge pandas-profiling
conda install -c conda-forge schedule
pip install speedtest-cli
pip install openpyxl
pip install investpy
pip uninstall matplotlib pillow numpy
pip install matplotlib pillow numpy
pip install yfinance --upgrade --no-cache-dir
Monday, July 5, 2021
Power Query - Connect API REST
1. Example (in parts)
GetAccessToken:
() =>
let
url = "https://wwwXPTO.com/Auth/GetApiToken",
body = "{ ""user"": ""userXPTO"", ""pwd"": ""123$""} ",
AccessToken = Json.Document(Web.Contents(url, [Headers=[#"Content-Type"="application/json"], Content=Text.ToBinary(body)])),
access_token = AccessToken[token]
in
access_token
========================================================
GetList:
let
// Get_Data
Query = () => let
Source = Json.Document(Web.Contents("https://wwwXPTO.com/GetList", [Headers=[Authorization="Bearer " & GetAccessToken()]])),
#"Converted to Table" = Record.ToTable(Source),
Value = #"Converted to Table"{4}[Value]
in
Value
in
Query
========================================================
FAT_Table:
let
Source = GetList(),
#"Converted to Table" = Table.FromList(Source, Splitter.SplitByNothing(), null, null, ExtraValues.Error)
in
#"Converted to Table"
2. Example Full
lettenantId = "435435435345435435",
clientId = "34543543534535345543",
clientSecret = "35435435435435435435",
grantType = "client_credentials",
resource = "https://graph.windows.net/",
endpointUsers = "/users",
apiVersion = "?api-version=1.6",
baseURL="https://login.microsoftonline.com",
relativePath = "/"&tenantId&"/oauth2/token",
url = baseURL & relativePath,
body2 = [
client_id=clientId,
grant_type=grantType,
client_secret=clientSecret,
resource=resource],
Source = Json.Document(Web.Contents(url, [Headers=[#"Accept" = "application/json", #"Content-Type"="application/x-www-form-urlencoded;charset=UTF-8"],Content = Text.ToBinary(Uri.BuildQueryString(body2))])),
accessToken = Source[access_token],
tokenType = Source[token_type],
usersURL = tenantId & endpointUsers &apiVersion,
fullAccessToken = tokenType&" "&accessToken,
Users = Json.Document(Web.Contents(resource & tenantId & endpointUsers &apiVersion,[Headers=[ContentType="application/json", Authorization=fullAccessToken, RelativePath=usersURL]])),
value = Users[value],
#"Converted to Table" = Table.FromList(value, Splitter.SplitByNothing(), null, null, ExtraValues.Error),
#"Expanded Column1" = Table.ExpandRecordColumn(#"Converted to Table", "Column1", {"odata.type", "objectType", "objectId", "deletionTimestamp", "accountEnabled", "ageGroup", "assignedLicenses", "assignedPlans", "city", "companyName", "consentProvidedForMinor", "country", "createdDateTime", "creationType", "department", "dirSyncEnabled", "displayName", "employeeId", "facsimileTelephoneNumber", "givenName", "immutableId", "isCompromised", "jobTitle", "lastDirSyncTime", "legalAgeGroupClassification", "mail", "mailNickname", "mobile", "onPremisesDistinguishedName", "onPremisesSecurityIdentifier", "otherMails", "passwordPolicies", "passwordProfile", "physicalDeliveryOfficeName", "postalCode", "preferredLanguage", "provisionedPlans", "provisioningErrors", "proxyAddresses", "refreshTokensValidFromDateTime", "showInAddressList", "signInNames", "sipProxyAddress", "state", "streetAddress", "surname", "telephoneNumber", "thumbnailPhoto@odata.mediaEditLink", "usageLocation", "userIdentities", "userPrincipalName", "userState", "userStateChangedOn", "userType"}, {"odata.type", "objectType", "objectId", "deletionTimestamp", "accountEnabled", "ageGroup", "assignedLicenses", "assignedPlans", "city", "companyName", "consentProvidedForMinor", "country", "createdDateTime", "creationType", "department", "dirSyncEnabled", "displayName", "employeeId", "facsimileTelephoneNumber", "givenName", "immutableId", "isCompromised", "jobTitle", "lastDirSyncTime", "legalAgeGroupClassification", "mail", "mailNickname", "mobile", "onPremisesDistinguishedName", "onPremisesSecurityIdentifier", "otherMails", "passwordPolicies", "passwordProfile", "physicalDeliveryOfficeName", "postalCode", "preferredLanguage", "provisionedPlans", "provisioningErrors", "proxyAddresses", "refreshTokensValidFromDateTime", "showInAddressList", "signInNames", "sipProxyAddress", "state", "streetAddress", "surname", "telephoneNumber", "thumbnailPhoto@odata.mediaEditLink", "usageLocation", "userIdentities", "userPrincipalName", "userState", "userStateChangedOn", "userType"})
in
#"Expanded Column1"
3. example with Body parameters
let
url = "https://j?????????????????",
body = "{ ""hCreationDate"": { ""$gte"": ""2021-08-01T00:00:00.000Z"",""$lte"": ""2021-08-03T00:00:00.000Z"" } } ",
vData = Json.Document(Web.Contents(url, [Headers=[#"Content-Type"="application/json" , Authorization="Bearer " & GetAcessToken()], Content=Text.ToBinary(body)])),
results = vData[results],
#"Converted to Table" = Table.FromList(results, Splitter.SplitByNothing(), null, null, ExtraValues.Error),
#"Expanded Column1" = Table.ExpandRecordColumn(#"Converted to Table", "Column1", {"_id", "action", "feedId", "segment", "userId", "hCreationDate"}, {"_id", "action", "feedId", "segment", "userId", "hCreationDate"})
in
#"Expanded Column1"
Thursday, May 13, 2021
DAX - CALCULATE Actualized vs. Planned
Measure:
.Inflation_PLAN =
CALCULATE(DIM_Prem_Plan[.Vlr_Inflation_PLAN],
FILTER(DIM_Prem_Plan,
DIM_Prem_Plan[PK_Plan]IN VALUES(FAT_DB[PK_Plan])))
Tuesday, May 11, 2021
Power Query - Connect API REST API Bearer
FNC_Access_Token
() =>
let
url = "https://XPTO_SITE_TOKEN",
body = "{ ""user"": ""XPTO_USER"", ""pwd"": ""XPTO_PASS""} ",
AccessToken = Json.Document(Web.Contents(url, [Headers=[#"Content-Type"="application/json"], Content=Text.ToBinary(body)])),
access_token = AccessToken[token]
in
access_token
FNC_Table_Prep
let
// Get_Data
Query = () => let
Source = Json.Document(Web.Contents("XPTO_SITE_SEARCH", [Headers=[Authorization="Bearer " & Fnc_Access_Token()]])),
#"Converted to Table" = Record.ToTable(Source),
Value = #"Converted to Table"{4}[Value]
in
Value
in
Query
DIM_Table
let
Source = Fnc_Table_Prep(),
#"Converted to Table" = Table.FromList(Source, Splitter.SplitByNothing(), null, null, ExtraValues.Error),
#"Expanded Column1" = Table.ExpandRecordColumn(#"Converted to Table", "Column1", {"_id", "user", "phone", "profile", "hLastUpdate", "active", "activationCode", "userName", "birthday", "gender", "followingCategories", "isProfileComplete", "name", "dob"}, {"_id", "user", "phone", "profile", "hLastUpdate", "active", "activationCode", "userName", "birthday", "gender", "followingCategories", "isProfileComplete", "name", "dob"})
in
#"Expanded Column1"
SQL - Query Analytics Basic
SELECT Nome_Produto, ROUND(MIN(Valor_Venda), 2) AS Valor_Minimo, ROUND(MAX(Valor_Venda), 2) AS Valor_Maximo, ROUND(AV...
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There are two points to be evaluated: 1. If you want to discard the errors In this case, just run: #"Removed errors" = Table.Re...
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====================================================== CSV: let Source = SharePoint.Files("https://site", [ApiVersion = 15]), ...
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Top Power BI Visualizations Types 0. Charticulator https://charticulator.com/ Here are the chart types in Power BI: 1. Area Charts The ar...