Focus Timer 2 8 – Focus Mind On Working Capital

Focus Timer: Focus mind on work 2.8

1. Focus Timer 2 8 – Focus Mind On Working Capital Gains
2. Focus Timer 2 8 – Focus Mind On Working Capital Gains
3. Focus Timer 2 8 – Focus Mind On Working Capital Punishment
4. Focus Timer 2 8 – Focus Mind On Working Capital One

Jan 16, 2020 How Working Capital Terms works. Working Capital Terms is intended to meet a specific financing need for businesses: paying your vendors on time. After all, you rely on your vendors for the services or supplies you need to run your business. Paying them on time is vital to maintaining good relationships. Focus timer is an application that you can use to maximize your time based on Pomodoro technique. It will help you offering control over scheduled created timers. IMPORTANT: The alarm may be desynchronized with the timer due to limitations of Windows Phone 8. Please do not rate the application negatively based on this system failure.

Focus Timer can help you focus on work and say goodbye to procrastination!
It's the focus best timer for work & study
Main Functions:
About Focus Timer：

• Support the start, break, pause or stop of a Focus Time .
• Allow users to define the Focus time, short/long break length and intervals between long breaks.
• Support the settings of auto start of the next Focus time and auto start of breaks.

Report:

• Support the calculation of the total time and number of focus time.
• Support the display of Gantt Chart of the focus time of today or the past 7 days.
• Support the display of tendency chart of the number of the daily/weekly/monthly executed focus time.

Various Reminding:

• Support focus time finished alarm, break ending alarm and vibration reminding.
• Various ring tones.
• Various white noise to help you focus on work.

Various Themes:

• Provide various fresh themes.
• The round tomato seeds in the interface indicate the progress of focus time execution

What's New:

Version 2.8

• bug fix

Screenshots:

• Title: Focus Timer: Focus mind on work 2.8
• Developer: Ming Zhou
• Compatibility: OS X 10.11 or later, 64-bit processor
• Language: English, French, German, Japanese, Korean, Russian, Simplified Chinese, Spanish, Traditional Chinese
• Includes: K'ed by TNT
• Size: 14.92 MB
• visit official website

By: Rick Dobson | Updated: 2019-06-21 | Comments (6) | Related: More >T-SQL

Focus Timer 2 8 – Focus Mind On Working Capital Gains

Free MSSQLTips Webinar: Development Best Practices for SQL Server

Attend this webinar to learn about development best practices for SQL Server. Andy Warren will share his many years of experience to give some pointers on what has worked best for him and how you can utilize some of this knowledge.

Problem

The hierarchyid data type seems to have a distinct set of features and use casesthat are unlike other SQL Server data types. Because I do not often work withhierarchical data, I am not sure how to take advantage of the data type.Please provide some code, data, and commentary to help me ramp up to speed on thehierarchyid data type.

Solution

SQL Server database administrators and developers are less likely to encounterhierarchical data than relational data. Nevertheless, there are several typesof data that lend themselves to a hierarchical representation.

You can thinkof a hierarchy as a collection of nodes in which nodes relate to one another throughlinks in a tree-like structure. A node is an item in a tree, and itcan be represented by a row with a hierarchyid value in a SQL Server table.Any child node can have just one parent node, but each parent can have one or morechild nodes. Within a hierarchy there are levels of parents from the top-levelparent that has the first set of child nodes through the children of those childnodes down through to the last generation of children that do no serve as parentsto a new generation of child nodes. The child nodes from any parent in thehierarchy can have a left-to-right order in which some nodes belong before othernodes. A hierarchical data model specifically targets use cases with layers of one-to-manyrelationships among its nodes as well as left-to-right orders for the nodes of aparent.

The hierarchyid data type is especially architected to facilitate representingand querying hierarchical data, such as geographical data like those referencedin this tip. The hierarchyid data type has a special way of representing therelationships between the nodes in a hierarchy from top to bottom levels and fromleft to right among the children nodes of a parent node. The hierarchyid datatype is different than other SQL Server data types in that it has properties andmethods.

This tip is an initial installment to a multi-part set of tips on hierarchicaldata and the hierarchyid data type in SQL Server. In this tip, you will learna couple of different ways to populate a hierarchy with the hierarchyid data type.You will also gain some exposure to a subset of methods of the hierarchical datatype.

A geographical names hierarchical dataset

The following chart displays the hierarchical relationship of the Earth to someof its continents. These continents show some of the countries within them,and each country shows the capital city within the country. While the namesin the diagram present only a subset of the continents, countries, and cities onEarth, the names are enough to illustrate the basics of a hierarchical dataset.

• The node for Earth at the top of the diagram is the root or top-level parentof the hierarchical dataset.
• Three successive collections of nodes appear below the Earth node.You can think of these successive collections as hierarchical levels.
  • The first hierarchical level is for a collection of continents.Three continents appear in the diagram below.
  • Below the continent collection is another hierarchical level for countrieswithin a continent.
  • Below the country collection is the final hierarchical level for citieswithin a country. The cities listed in the diagram are just nationalcapital cities.

Hierarchyid nodes and levels

There are two ways of representing nodes with the hierarchyid data type.The first way is with strings representing the position of the node on each levelof a hierarchy. The second way is with bit strings that loosely correspondto hexadecimal values; see thisblog for an extensive discussionof bit strings, hex values, and hierarchyid values. This tip gives you exposureto both ways of representing nodes. The hex value sequences and string charactersare two equivalent ways of assigning identifier values to nodes.

The string for representing the root node in a hierarchy is /. This stringcorresponds to the hex value of 0x in SQL Server. Within the context of thediagram above, the root node denotes Earth at the top of the diagram. Thelevel number of the root node is 0.

The string for representing the first collection of nodes below the root is/ position_within_first_level /. From left to right, the nodes immediatelybelow the root node can be represented by /1/, /2/, /3/. The level for thecollection of nodes below the root level is 1.

• /1/ points at Asia.
• /2/ points at Africa.
• /3/ points at Oceania.

The string for representing the second collection of nodes below the root is/position_within_first_level/ position_within_second_level/. Therefore, thenodes for geographical names from China through Australia can be represented bythese strings: /1/1/, /1/2/, /1/3/, /2/1/, /2/2/, /3/1/. The character node identifiersare /1/1/ for China, /1/2/ for Japan, and so forth through /3/1/ for Australia,the largest land mass in the Oceanic continent. The level for this collectionof nodes is 2.

The string for representing the third collection of nodes below the root is /position_within_first_level/position_within_second_level/ position_within_third_level/. This collectionof nodes points at the capital city within each country. The level for thiscollection of nodes is 3.

• The symbols values for the capital cities in Asia are: /1/1/1/, /1/2/1/,/1/3/1. These symbols are, respectively, for Beijing, Tokyo, andSeoul.
• The symbols for the capital cities in Africa are: /2/1/1/ and /2/2/1.These symbols are, respectively, for Pretoria and Cairo.
• The symbol for the capital city of Australia in Oceania is /3/1/1/.This symbol is for Canberra.

Inserting hierarchical data into a SQL table and displaying the data

The following script creates a fresh version of a table named SimpleDemo thathas three columns named Node, Geographical Name, and Geographical Type. Nodeis for the hierarchical node identifier with a hierarchyid data type, GeographicalName is for the name of a geographical unit, such as Asia or China, and GeographicalType is for the geographical type to which a name belongs, such as continent forAsia. None of the columns have any indexes, but not null constraintsexist for Node and Geographical Name columns; in other words, all rows must haveNode and Geographical Name values, but Geographical Type values are optional. Agood rule of thumb is that columns with hierarchyid values should never allow nullsbecause nodes with a null value are not connected in a known way to other nodesin the hierarchical dataset.

The insert statement populates the SimpleDemo table with row values. Thecode specifies three input values for each row. You can study the input valuesfor the Node column to confirm the order for specifying rows in a hierarchical format.The input format for Node depends on a slash format denoting levels in the hierarchy.Although values can be input with a slash format for a node identifier, they aresaved within SQL Server as bit strings and shown as hex values when they are displayed.

Notice that the values for rows do not appear in hierarchical level order withinthe insert statement. For example, the rows for the second level geographicalnames appear before the first level names. Also, the root level name appearslast instead of first. The inputting of row values out of hierarchical sequencefacilitates highlighting the impact of selecting rows for display with and withoutan order by clause based on Node values.

The select statement at the end of the script displays the rows in the SimpleDemotable without an order by clause. The rows appear in the default orderin which SQL Server saves the rows during data entry. The select list containsitems for input columns as well as two other items derived from hierarchyid datatype method calls (Node Text and Node Level). Within the script below, themethod calls allow the output of five columns although only three columns are inputper row.

The following screen shot displays the Results pane populated by the precedingscript.

• The Node column values appear as hex values although it was originally inputwith slash format denoting node identifiers. SQL Server automaticallyconverts the slash format values for nodes to hierarchyid values that are displayedas hex values. SQL Server displays hex values with a leading 0x prefix.After the 0x prefix, each hex digit is denoted by a character in the range of0 through F for integer values from 0 through 15.
• The Node Text column corresponds to the ToString method output for the Nodecolumn. The ToString method converts the underlying bit string value toa slash format identifier in the hierarchy.
• The Node Level column shows output from the GetLevel method for the Nodehierarchyid data value. Within the context of this tip, these column valuesare 0 for the root node, 1 for first-level nodes (continents), 2 for second-levelnodes (countries), and 3 for third-level nodes (cities).
• The Geographical Name and Geographical Type column values match the entriesin the insert statement for each row.

Controlling the display order of hierarchyid values with an order by clause

There are two common ways of displaying hierarchical data. The first iscalled a depth-first display of nodes, and the second way is called a breadth-firstdisplay of nodes. Within SQL Server, the nodes are represented by rows withina table.

• The depth-first display mode shows rows from a start node, which is sometimesbut not necessarily the root node, through to the bottom-most node level ina path on the hierarchy. This process repeats for as many distinct startnodes as exist in the hierarchy.
• The breadth-first node displays all the nodes at one level before showingany nodes from the next level. Again, this process repeats iterativelyfor as many distinct node levels as exist in the result set.

One approach to obtaining a depth-first listing of the rows in a hierarchicalresult set is to append an order by clause for Node Text or Node to the select statementat the end of the preceding script. The following script shows an exampleof the syntax.

Here's the result set from a depth-first listing of result set rows orderedby Node Text.

• Rows 2 through 8 are highlighted. All these rows are for geographicalnames pertaining to Asia. The first row in the set has a Node Text identifierof /1/ that is for the continent of Asia. Each successive row in the setstarts with /1/. Some of the successive rows are for countries, such asChina (/1/1/), Japan (/1/2/), and South Korea (/1/3/). The remaining rowsin the highlighted set are for cities, such as Beijing(/1/1/1/), Tokyo(/1/2/1/),and Seoul (/1/3/1/).
• Rows 9 through 13 are for geographical names associated with the Africancontinent. All these rows start with a continent identifier of /2/.Rows 10 through 13 are different in the country and city identifiers.
• Rows 14 through 16 are for geographical names associated with Oceania.

Here's an approach to generating a breadth-first listing of the rows.In this case, the sort is by Node Level. As a result of this sort order rows,the listing is organized by Node Level instead of Node Text (or Node).

Here's the result set from a breadth-first listing of the rows. Boththe preceding depth-first row list and the following breadth-first row list beginwith the root row for Earth. However, after the first row, the rows appearin different orders.

• Rows 2 through 4 are for the three continents in the result set: Asia (/1/),Africa (/2/), and Oceania (/3/).
• Rows 5 through 10 are for all the countries. The country names startwith China (/1/1/) in row 5 and run through Australia (/3/1/) in rows 10.
• The remaining rows are all for cities.

The rows are input in left-to-right order within levels. However, if thisis not the case in a dataset you are using and you need your output in left-to-rightorder within level, then use order rows by [Node Level] first and Node second.

Controlling the display order of hierarchyid values with primary keys and non-clusteredindexes

Instead of using order by clauses without indexes to control the result set rowpositioning, you can specify either the Node column as a primary key for a depth-firstresult set listing or you can add a non-clustered index for the Node Level columnfor a breadth-first result set listing. By controlling the display order witha primary key or a non-clustered index, you display code can run faster. Thequery cost for displays is clearly more expensive when you use an order by clausewithout indexes instead of an index to control the result set row order.

The following script has two parts separated by a line of comment markers (dashes).

• The top part is for generating a depth-first row listing with the aid ofan order by clause with a table scan (no index).
• The second part has two statements.
  • The first statement is an alter table statement to add a primary keyto the SimpleDemo table based on the Node column; the primary creates aclustered index based on Node for the SimpleDemo table.
  • Then, the second statement is a select statement that implicitly usesthe primary key to generate a depth-first order of rows.

Before reviewing the results from the parts, let's examine the query plansfor each part as well as the associated batch query costs.

The image below shows the query plan for the first part. Observe that thereare four operations in the query plan, and the one with the most expensive costis for Sort operation that corresponds to the execution of the order by clause.Additionally, the query plan starts with a Table Scan, which is also not known forbeing fast.

The next image is for the query plan associated with the select statement inthe second part. The select statement does not include an order by clause.The result set rows from the select statement are ordered implicitly according toa clustered index associated with the pk primary key setting for the Node column.SQL Server assigns Node column values based on a hierarchy in a depth-first way.Therefore, the query returns rows in a depth-first order without the need for anorder by clause. As a result, this query cost for this second select statementis dramatically less than for the first one. The batch query cost for thesecond select statement is more than seventy-five percent less than the batch querycost for the first select statement!

The following query converts the hexadecimal Node value to an int value in itshex_to_int column. The order by clause arranges rows in a depth-first fashionwithout depending on an appropriately specified primary key. For example,the initial Node Level value is always 1 for each group of rows associated witha continent. Furthermore, the converted Node values increase for geographicalnames associated within a continent. This progression of integer values confirmsthat nodes are listed on a depth-first basis within continents.

In order to take advantage of a non-clustered index on a table, the column onwhich the index is defined must be in the table definition. For example, touse a non-clustered index for Node Level values in the SimpleDemo table, a columnfor Node Level values must be in the table. This is an issue because up untilthis point, this tip's code defined Node Level in a select statement –not in the SimpleDemo table. Therefore, the next code block re-specifiesthe create table statement for the SimpleDemo table to include a column for NodeLevel, and the code below also populates the Node Level column from valuesin successive rows used within its insert statement. Here's thecode to accomplish these two tasks.

The next script block has two parts.

• The first part is for a select statement that generates a breadth-firstlisting of the rows in the SimpleDemo table without the benefit of a non-clusteredindex.
• The second part has two lines of code.
  • The first T-SQL statement creates a unique non-clustered index namedbfs_index for the SimpleDemo table on the Node Level and Node columns inthe table. Both columns are required because Node uniquely definesthe rows in the table, but this code seeks to index the rows by Node Levelvalues.
  • The second T-SQL statement is a copy of the select statement fromthe preceding part. However, this instance of the select statementtakes advantage of the bfs_index.

The syntax for the select statements in the first and second parts is identical,and their output is also the same – namely a breadth-first ordered list ofrows from the SimpleDemo table. The key difference between the select statementsis not the output but the query plan for each select statement.

Here's the query plan for the first part. This query plan has a sortoperator that contributes seventy-eight percent of the cost for the query'sbatch. Additionally, a table scan contributes another twenty-two percent tothe query cost for the batch. The query cost for the batch is twenty-fivepercent.

Here's the query plan for the select statement in the second part.Critically, the query plan does not have a sort operator. Instead, this queryplan relies on an index scan operator for the bfs_index. A nested loops operatorjoins results from an index scan operator for the bfs_index and a RID lookup forthe SimpleDemo table heap. Because of the batch's reliance on the bfs_index,the overall query cost for the select statement in the second part is just fifteenpercent, which is forty percent less than the overall query cost for the selectstatement in the first part.

Specifying new row values with hierarchyid methods

Up to this point, this tip demonstrated one approach to inserting rows into atable with hierarchyid data type values. The prior approach uses an insertstatement with a values clause to specify new hierarchyid data values via slashesand level identifiers. However, the prior approach does not take advantageof built-in methods for the hierarchyid data type. This section highlightsthe power of the GetDescendant method for adding new rows to a table of hierarchyiddata values without relying on slashes and level identifiers. The GetDescendantmethod facilitates positioning new nodes in a hierarchy from depth, breadth, andleft-to-right perspectives.

Before diving into the method's syntax and sample code, it may be helpfulto point out that the GetDescendant method name, along with other hierarchyid datatype methods, is case sensitive. In other words, you can generate errors byreferring to the method in code with names such as GETDESCENDANT, getdescendant,or Getdescendant. The only valid name is: GetDescendant.

This section highlights how to use the GetDescendant method to add geographicalnames into the SimpleDemo table created and populated in the 'Controllingthe display order of hierarchyid values with primary keys and non-clustered indexes'section. The method will be used to create a new hierarchical branch startingat the first level below the root node. The GetDescendant method requiresa parent node and up to two child nodes to specify the hierarchyid value for a newnode in a hierarchical dataset. The syntax for the method from theMicrosoft SQL Docs site isas follows: parent.GetDescendant ( child1 , child2 ).

• The parent node has a hierarchyid value that is less than the hierarchyidvalue of the new node to be inserted into the hierarchy. The hierarchyidvalues of nodes increase in a branch as you traverse a branch from its top nodeto its bottom node. The GetDescendant return value is a hierarchyid valuethat specifies the position of a new node given its parent node and any otherpreviously specified child nodes for the parent. From a depth perspective,you can think about its operation this way.
  • If the hierarchyid value of parent is null, then the GetDescendant methodreturns a null value.
  • If the hierarchyid value of parent is non-null, then the GetDescendantmethod returns a non-null hierarchyid value that is one hierarchical levelbelow the parent's level. Recall that level values are one greaterin the child node than in the parent node. The root node at the topof a hierarchy has a level value of zero.
• The child1 and child2 hierarchyid values enable the specification of theposition of a new node from left to right within a hierarchical level.
  • If child1 and child2 are both null, then the new node is the sole childof the parent. The new node's hierarchyid value points to onelevel below the level for the parent.
  • If child1 is not null and child2 is null, then the new node'shierarchyid value is greater than child1 and points to one level below theparent's level.
  • If child1 is null and child2 is not null, then the new node receivesa hierarchyid value less than child2 and points to one level below the parent'shierarchyid value.
  • If both child1 and child2 are not null, then the new node receives ahierarchyid value between the hierarchyid values for child1 and child2 andpoints to one level below the parent's hierarchyid value.
• The GetDescendant method is also of value because it traps for illegitimateparent, child1, and child2 node hierarchyid values and raises an exception.
  • For example, if either child1 or child2 has a hierarchyid value pointingto a level different than one below the parent's level, then an exceptionis raised.
  • The method also raises an exception when the hierarchyid value for child1is greater than or equal to the hierarchyid value of child2.

GetRoot is another hierarchyid data type method that you can use when specifyinghierarchyid values for new nodes that are one level below the root node in a hierarchy.The GetRoot method returns the hierarchyid value for the top-level node in a hierarchy.The top-level node typically has a hierarchyid value of 0x that the ToString methodtranslates its value of a single forward slash (/); the level for the top-levelnode is 0. Within the context of the SimpleDemo table, the root node correspondsto the node with geographical name of Earth. The syntax for the GetRoot methodis different than the other hierarchyid data type methods. TheMicrosoft SQL Doc site specifiesthe syntax this way: hierarchyid::GetRoot().

This section demonstrates the application of the GetDescendant and GetRoot methodsfor adding a branch from the root node for the SimpleDemo table. The followingscreen shot shows the new branch within a red rectangle. The title for theoverall hierarchical dataset image is 'Geographical Hierarchical Data witha New Branch'. By contrasting this screen shot with the screen shotfrom the 'A geographical names hierarchical dataset' section, you canconfirm that the new branch is for subset of geographical names associated withthe European continent.

• Therefore, the continent identifier for the top node in the new branch isEurope. Immediately above this node is the root node for the whole hierarchicaldataset – Earth.
• One of three country names identify each of the three child nodes belowEurope. The node identifiers from left to right are Germany, France, andUnited Kingdom.
• One of three capital city names identify each of the nodes below the threecountry nodes.
  • Berlin is the identifier for the capital city node below Germany.
  • Paris is the identifier for the capital city node below France.
  • London is the identifier for the capital city node below United Kingdom.

Here's the code using GetRoot and GetDescendant methods for adding thenode for Europe to the hierarchy.

• The code assigns the root node's hierarchyid value to the @planetlocal variable.
• Next, the hierarchyid value for Oceania is assigned to the @last_continentlocal variable. Recall that Oceania has the maximum hierarchyid valueamong continents until a node for Europe is added to the dataset.
• The addition of the node for Europe is completed by the insert into statement.
  • This statement in its values clause assigns the GetDescendant returnvalue with a parent hierarchyid value for Earth and a child1 hierarchyidvalue for Oceania.
  • The level for the Europe node is 1, which is one greater than the rootnode level value of 0.
  • The Geographical Name is, of course, Europe, and the Geographical Typeis Continent.
  • The left-to-right location of the Europe node on the Continent levelis to the right of Oceania.

The two declare statements and the insert into statement are preceded and followedby select statements.

• The preceding select statement displays the SimpleDemo table rows beforethe addition of the Europe node. See the first result set in the screenshot below.
• The following select statement displays the SimpleDemo table rows afterthe addition of the Europe node. See the second result set in the screenshot below. The Europe node is highlighted on row 5, and there 17 rowsin the SimpleDemo table as opposed to 16 rows in the preceding result set.

The next step in completing the addition of the new branch to the hierarchy isto add nodes for the three European countries of Germany, France, and United Kingdom.The following script accomplishes that goal, and it includes a trailing select statementto reflect the state of the SimpleDemo table after the addition of the three newcountry nodes. This script is designed to run in one batch starting with thepreceding one for adding the Europe node; it will fail if you run it in a separatebatch than the one for adding the Europe node.

Here's a summary of how the script works.

• The @last_continent variable was initially declared in the preceding script,and you may recall it pointed to Oceania. When adding the nodes for eachof the three countries in the new branch, the parent is the Europe node.A set statement re-assigns the @last_continent variable to Europe, which nowhas the maximum hierarchyid value among the nodes on the Continent level.
• Also, each of the three country nodes has a hierarchical level setting of2. This level number points at the Country level in the hierarchy.
• When adding the node for Germany with the insert into statement, the GetDescendantmethod has a parent node of Europe. Both child1 and child2 are null becauseEurope has no child nodes when the Germany node is added as a child to the Europenode. The Geographical Name and Geographical Type field assignments reflectthe node identifier and the name for the level in the hierarchy.
• When adding the node for France, the @last_country local variable is assignedthe hierarchyid value for the Germany node. The @last_continent remainsunchanged from when it was set for adding the Germany node. Then, theGetDescendant method in the insert into statement for adding the France nodeuses @last_continent as its parent parameter and @last_country as its child1parameter. The child2 parameter is left null. These GetDescendantsettings position the France node to the right of the Germany node. TheGeographical Name and Geographical Type field assignments reflect the node identifierand the name for the level in the hierarchy.
• When adding the node for the United Kingdom, the @last_country local variableis re-assigned the hierarchyid value for the France node. Then, the GetDescendantmethod in the insert into statement for adding the United Kingdom node uses@last_continent as its parent parameter and @last_country as its child1 parameter.The child2 parameter is left null. These GetDescendant settings positionthe United Kingdom node to the right of the France node. The GeographicalName and Geographical Type field assignments reflect the node identifier andthe name for the level in the hierarchy.

The following screen shot shows the result set from the final select statementin the preceding script segment.

• Notice there are now twenty rows in the SimpleDemo table. This includesone new row for each of the three country nodes.
• The rows for the three new country nodes are highlighted in the followingscreen shot.

The approach for adding capital cities for Germany, France, and the United Kingdomis slightly different than the approach for adding the country nodes to the Europenode. It is different because each country node has just one city node belowit whereas the three country nodes all shared the same parent node (Europe).The following code works for adding to each country node a child node with the country'scapital city. As with the preceding two script segments, this one should berun in a single batch along with the preceding two code segments. This codeadds the final leaves to the new branch, and it therefore depends on the prior existenceof the earlier nodes in the branch path.

Focus Timer 2 8 – Focus Mind On Working Capital Gains

• The code requires two lines for adding a city to a country.
  • The first line assigns a value to the @country variable either witha declare statement or a set statement after the @country variable is initiallydeclared.
  • The second line is an insert into statement that references the @countryvariable as a parent parameter when invoking the GetDescendant method forspecifying a hierarchyid value for the new city node. The child1 andchild2 parameters are both null because each country has just one capitalcity.
• There are a few other points about the insert into statements that are worthmentioning. After generating the hierarchyid value with the GetDescendantmethod for each city, the insert into method makes three more assignments.
  • The Node Level is assigned a value of 3, which is the final level inthe new branch. This assignment is the same for all leaves in thehierarchy.
  • The Geographical Name of the city level is different for each country.The capital city is
    • Berlin for Germany
    • Paris for France
    • London for the United Kingdom

Here's the result set from the preceding script segment.

• There are 23 rows in this result set.
• The last 3 rows are highlighted; these rows are for the capital cities.
• In total there are seven rows added in this section beyond those populatedby the preceding section for the SimpleDemo table.
  • One new row is for the continent of the new branch.
  • Three additional child rows are for countries on the European continent.
  • Finally, three additional child rows – one for each country –are for the capital cities.

Next Steps

Focus Timer 2 8 – Focus Mind On Working Capital Punishment

• Start by running the code in the 'Inserting hierarchical data intoa SQL table and displaying the data' section. This will acquaintyou with the basics of inserting hierarchical dataset rows into a SQL Servertable and displaying rows in the table.
• Next, run the code in the 'Controlling the display order of hierarchyidvalues with an order by clause' section to become familiar with listinghierarchical data content in either depth-first order breadth-first order.
• Then, run the code in the 'Controlling the display order of hierarchyidvalues with primary keys and non-clustered indexes' section to becomefamiliar with how to use indexes for listing hierarchical data content in bothdepth-first or breadth-first orders.
• Finally, run the code in the 'Specifying new row values with hierarchyidmethods' section to learn how to use the GetDescendant hierarchyid datamethod for programmatically adding new nodes to a table of hierarchical datavalues. Run the three script segments from the section in one batch.If you decide to run the code more than once, you may find it useful to startwith a fresh copy of the table created and populated in the 'Controllingthe display order of hierarchyid values with primary keys and non-clusteredindexes' section.

Last Updated: 2019-06-21

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