Automatic Detection on String and Column Delimiters in Tabular Data Files
US-2018314883-A1 · Nov 1, 2018 · US
US12210491B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-12210491-B2 |
| Application number | US-202418438301-A |
| Country | US |
| Kind code | B2 |
| Filing date | Feb 9, 2024 |
| Priority date | Jul 20, 2017 |
| Publication date | Jan 28, 2025 |
| Grant date | Jan 28, 2025 |
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A method comprises selecting a sample excerpt from a data input file; in response to the determining that a first row in the sample excerpt does not contain a delimited value and a second row does contain a delimited value, determining that the first row consists of header data; identifying one or more jagged rows based on row delimiters that were erroneously placed; causing displaying text that led to creation of a jagged row; receiving an addition or removal of a specific row delimiter to the text; updating the sample excerpt based on the addition or the removal; analyzing the sample excerpt to determine a row delimiter for the data input file; identifying a plurality of rows that is not included in the header data; identifying a plurality of candidate column delimiters and generating a candidate schema for the data input file.
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What is claimed is: 1. A method comprising: receiving a data input file to be stored in a database, the data input file having unknown schema; selecting a sample excerpt from the data input file, the sample excerpt comprising a subset of the data input file; determining that a first row in the sample excerpt does not contain a delimited numeric value; determining that a second row in the sample excerpt following the first row does contain a delimited value; in response to the determining that the first row in the sample excerpt does not contain a delimited value and the second row in the sample excerpt does contain a delimited value, determining that the first row consists of header data for the data input file; identifying one or more jagged rows based on row delimiters that were erroneously placed in the sample excerpt instead of column delimiters; causing displaying, via a graphical user interface (GUI), text in the sample excerpt that led to creation of a jagged row of the one or more jagged rows; receiving, via the GUI, an addition or removal of a specific row delimiter of the row delimiters to the text; updating the sample excerpt based on the addition or the removal; analyzing the sample excerpt to determine a row delimiter for the data input file, the row delimiter comprising one or more symbols that delimit each particular row in the data input file; using the row delimiter, identifying a plurality of rows from the sample excerpt that is not included in the header data for the data input file; identifying a plurality of candidate column delimiters in the sample excerpt; using the plurality of candidate column delimiters and the row delimiter to generate a candidate schema for the data input file, wherein the method is performed using one or more processors. 2. The method of claim 1 , further comprising: receiving a second data input file; selecting a second sample excerpt from the second data input file, the second sample excerpt comprising a subset of the second data input file; receiving, via the GUI, a specification of a certain row in the second sample excerpt as containing certain header data; ignoring all rows up to and including the certain row in the second sample excerpt in determining a row delimiter or a column delimiter for the second data input file. 3. The method of claim 1 , further comprising receiving, via the GUI, a specification of an encoding for the data input file, the encoding being a pattern that represents a plurality of characters in a character set. 4. The method of claim 1 , further comprising: receiving, via the GUI, a request to rerun scheme inference using only string types; re-identifying column delimiters for the sample excerpt by setting data format types for columns as strings. 5. The method of claim 1 , further comprising: determining that an entry in a column based on the candidate schema does not match a determined data type for the column; causing a display, via the GUI, of a row containing the entry with an error message. 6. The method of claim 1 , further comprising: receiving, via the GUI, a specification of a certain column delimiter; causing a display, via the GUI, of a warning that using the certain column delimiter causes a jagged row. 7. The method of claim 1 , further comprising: detecting that a column having an integer type contains a text version of an integer; converting the text version to the integer for the column. 8. The method of claim 1 , further comprising: computing a score indicating a percentage of a column that can be processed as a certain data type; causing a display, via the GUI, of rows for which the column cannot be processed as the certain data type. 9. The method of claim 1 , further comprising: using the candidate schema for the data input file, translating the data input file into a second plurality of rows and a plurality of columns; storing, in the database, the second plurality of rows and the plurality of columns. 10. The method of claim 1 , further comprising: receiving, via the GUI, a second row delimiter for the data input file; using the second row delimiter, identifying a second plurality of rows from the sample excerpt that is not included in the header data for the data input file; identifying one or more second candidate column delimiters in the second plurality of rows; using the one or more second candidate column delimiters and the second row delimiter to generate a second candidate schema for the data input file. 11. A system comprising: a memory; one or more processors coupled with the memory and configured to perform: receiving a data input file to be stored in a database, the data input file having unknown schema; selecting a sample excerpt from the data input file, the sample excerpt comprising a subset of the data input file; determining that a first row in the sample excerpt does not contain a delimited numeric value; determining that a second row in the sample excerpt following the first row does contain a delimited value; in response to the determining that the first row in the sample excerpt does not contain a delimited value and the second row in the sample excerpt does contain a delimited value, determining that the first row consists of header data for the data input file; identifying one or more jagged rows based on row delimiters that were erroneously placed in the sample excerpt instead of column delimiters; causing displaying, via a graphical user interface (GUI), text in the sample excerpt that led to creation of a jagged row of the one or more jagged rows; receiving, via the GUI, an addition or removal of a specific row delimiter of the row delimiters to the text; updating the sample excerpt based on the addition or the removal; analyzing the sample excerpt to determine a row delimiter for the data input file, the row delimiter comprising one or more symbols that delimit each particular row in the data input file; using the row delimiter, identifying a plurality of rows from the sample excerpt that is not included in the header data for the data input file; identifying a plurality of candidate column delimiters in the sample excerpt; using the plurality of candidate column delimiters and the row delimiter to generate a candidate schema for the data input file. 12. The system of claim 11 , the one or more processors further configured to perform: receiving a second data input file; selecting a second sample excerpt from the second data input file, the second sample excerpt comprising a subset of the second data input file; receiving, via the GUI, a specification of a certain row in the second sample excerpt as containing certain header data; ignoring all rows up to and including the certain row in the second sample excerpt in determining a row delimiter or a column delimiter for the second data input file. 13. The system of claim 11 , the one or more processors further configured to perform receiving, via the GUI, a specification of an encoding for the data input file, the encoding being a pattern that represents a plurality of characters in a character set. 14. The system of claim 11 , the one or more processors further configured to perform: receiving, via the GUI, a request to rerun scheme inference using only string types; re-identifying column delimiters for the sample excerpt by setting data format types for columns as strings. 15. The system of claim 11 , the one or more processors further configured to perform: determining that an entry in a column based on the candidate schema does not match a determined d
Parsing · CPC title
Organizing or formatting or addressing of data · CPC title
Schema design and management · CPC title
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