| from pyspark.sql.types import * | |
| # Auxiliar functions | |
| # Pandas Types -> Sparks Types | |
| def equivalent_type(f): | |
| if f == 'datetime64[ns]': return DateType() | |
| elif f == 'int64': return LongType() | |
| elif f == 'int32': return IntegerType() | |
| elif f == 'float64': return FloatType() | |
| else: return StringType() |
In addition to the charts that follow, you might want to consider the Frequently Asked Questions section for a selection of common questions about MongoDB.
The following table presents the MySQL/Oracle executables and the corresponding MongoDB executables.
| chrome.webRequest.onHeadersReceived.addListener( | |
| function (details) { | |
| for (var i = 0; i < details.responseHeaders.length; ++i) { | |
| if (details.responseHeaders[i].name.toLowerCase() == 'x-frame-options') { | |
| details.responseHeaders.splice(i, 1); | |
| return { | |
| responseHeaders: details.responseHeaders | |
| }; | |
| } | |
| } |
| -- Active issues | |
| -- Count of total active issues in the specified time frame | |
| -- Source: githubarchive public data set via Google BigQuery http://githubarchive.org/ | |
| SELECT | |
| COUNT(DISTINCT JSON_EXTRACT_SCALAR(events.payload, '$.issue.id')) AS events_issue_count | |
| FROM (SELECT * FROM TABLE_DATE_RANGE([githubarchive:day.],TIMESTAMP('2015-09-01'),TIMESTAMP('2016-08-31'))) | |
| AS events | |
| -- 10,723,492 active issues |
| <?PHP | |
| // Generates a strong password of N length containing at least one lower case letter, | |
| // one uppercase letter, one digit, and one special character. The remaining characters | |
| // in the password are chosen at random from those four sets. | |
| // | |
| // The available characters in each set are user friendly - there are no ambiguous | |
| // characters such as i, l, 1, o, 0, etc. This, coupled with the $add_dashes option, | |
| // makes it much easier for users to manually type or speak their passwords. | |
| // | |
| // Note: the $add_dashes option will increase the length of the password by |