From 9a482790127f05cf9dbb9a8710a1588f2413637c Mon Sep 17 00:00:00 2001 From: David Kaufmann <astra@ionic.at> Date: Mon, 17 Jun 2019 03:40:38 +0200 Subject: [PATCH] almost complete ex3.3 --- ex3/main.tex | 1 + ex3/main_3.tex | 61 ++++++++++++++++++++++++++++--- ex3/results/result_3d.png | Bin 0 -> 19198 bytes ex3/results/result_3e.png | Bin 0 -> 31810 bytes ex3/results/result_3e_orange.png | Bin 0 -> 30600 bytes 5 files changed, 56 insertions(+), 6 deletions(-) create mode 100644 ex3/results/result_3d.png create mode 100644 ex3/results/result_3e.png create mode 100644 ex3/results/result_3e_orange.png diff --git a/ex3/main.tex b/ex3/main.tex index d1e1ad0..0d0b087 100644 --- a/ex3/main.tex +++ b/ex3/main.tex @@ -58,6 +58,7 @@ breaklines=true, showspaces=false, showstringspaces=false, + tabsize=2, frame=single % xleftmargin=0pt, % xrightmargin=0pt, diff --git a/ex3/main_3.tex b/ex3/main_3.tex index 41b5369..d4493fa 100644 --- a/ex3/main_3.tex +++ b/ex3/main_3.tex @@ -1,6 +1,6 @@ %ex3.3 -\begin{enumerate}[label=(\alph*)] +\begin{enumerate}[label=(\alph*),leftmargin=2\parindent] \item\textbf{Two basic queries to start with:} \begin{itemize} \item\textbf{List all the distinct countries for which addresses are @@ -9,34 +9,42 @@ MATCH (n:Address) RETURN DISTINCT n.countries AS countries \end{lstlisting} This returns 222 different countries. We chose ''Austria''. + \newline + \newline \item\textbf{Choose one of these countries and list 5 entities which are based in that country.} \begin{lstlisting}[style=command] MATCH (n:Address {countries: 'Austria'})<-[r:REGISTERED_ADDRESS]-(e:Entity) - RETURN DISTINCT e AS entity LIMIT 5 +RETURN DISTINCT e AS entity LIMIT 5 \end{lstlisting} \input{results/result_3a.tex} + \newline + \newline \end{itemize} \item - \begin{enumerate}[label=\roman*] + \begin{enumerate}[label=\roman*,leftmargin=1\parindent] \item\textbf{First, find the 10 \texttt{top intermediaries} , i.e. those 10 intermediaries that have the most outgoing \texttt{INTERMEDIARY\_OF} edges. Output the name of the intermediary as well as the number of relevant edges.} \begin{lstlisting}[style=command] MATCH (n:Intermediary)-[r:INTERMEDIARY_OF]->() - RETURN n.name AS name, COUNT(r) AS count ORDER BY count DESC LIMIT 10 +RETURN n.name AS name, COUNT(r) AS count ORDER BY count DESC LIMIT 10 \end{lstlisting} \input{results/result_3b1.tex} + \newline + \newline \item\textbf{Extend the query of \texttt{i} to also count outgoing \texttt{OFFICER\_OF} edges to determine the top intermediaries. Output the name of the intermediary as well as the number of relevant edges.} \begin{lstlisting}[style=command] MATCH (n:Intermediary)-[r:INTERMEDIARY_OF|OFFICER_OF]->() - RETURN n.name AS name, COUNT(r) AS count ORDER BY count DESC LIMIT 10 +RETURN n.name AS name, COUNT(r) AS count ORDER BY count DESC LIMIT 10 \end{lstlisting} \input{results/result_3b2.tex} + \newline + \newline \item\textbf{For the top intermediary from query \texttt{ii}, output all the outgoing edges, except for those that have type either \texttt{OFFICER\_OF} or \texttt{INTERMEDIARY\_OF}. Also @@ -44,8 +52,49 @@ MATCH (n:Intermediary)-[r:INTERMEDIARY_OF|OFFICER_OF]->() \begin{lstlisting}[style=command] MATCH (n:Intermediary {node_id: "54662"})-[r]->(t) WHERE NOT (n)-[r:INTERMEDIARY_OF|OFFICER_OF]->(t) - RETURN type(r) AS relation, t.node_id AS node +RETURN type(r) AS relation, t.node_id AS node \end{lstlisting} \input{results/result_3b3.tex} + \newline + \newline \end{enumerate} + \item\textbf{Find a shortest \textit{undirected} path between an Address in + Luxembourg and an Address in Cyprus where the path has a length of at + least 16 and at most 30.} + % TODO !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! + % !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! + % MATCH p=(lux:Address{countries:"Luxembourg"})-[*10]-(cyp:Address{countries:"Cyprus"}) RETURN p LIMIT 5 + \item\textbf{Find one (use \texttt{LIMIT 1}) subgraph of the form specied + in Figure 4 in the database. + Furthermore, the two entities should be in dierent countries and at + least one of the entities should have dierent values in its + \texttt{jurisdiction} and \texttt{country\_codes} attributes.} + \begin{lstlisting}[style=command] +MATCH (i:Intermediary)-[]->(e1:Entity)<-[]-(o:Officer)-[]->(e2:Entity)<-[]-(i:Intermediary) + WHERE e1 <> e2 + AND e1.countries <> e2.countries + AND (e1.jurisdiction <> e1.country_codes + OR e2.jurisdiction <> e2.country_codes) +RETURN i, e1, e2, o +LIMIT 1 + \end{lstlisting} + \includegraphics{results/result_3d.png} + \newline + \newline + \item\textbf{For the final task we want to make the + \texttt{countries} attribute a real part of the + graph. The best way to do this is in Neo4j is + using the \texttt{MERGE} keyword inside of a + \texttt{MATCH} . The task is restricted to the + nodes with label \texttt{Other} to avoid + processing an unnecessarily large amount of data.} + \begin{lstlisting}[style=command] +MATCH (other:Other) WHERE exists(other.countries) +MERGE (country:Country { name: other.countries }) +MERGE (other)-[r:IN_COUNTRY]->(country) + \end{lstlisting} + \begin{lstlisting}[style=command] +MATCH (c:Country{ name:"Bermuda" }) RETURN c + \end{lstlisting} + \includegraphics{results/result_3d.png} \end{enumerate} diff --git a/ex3/results/result_3d.png b/ex3/results/result_3d.png new file mode 100644 index 0000000000000000000000000000000000000000..a06b17bd32cd09f28002950287b9a632acda387b GIT binary patch literal 19198 zcmY&=WmH_j((M3)ySqCC*Wm6FAh>&Q_h7-@U4y&3yF0<%-Gcj@+<U(tZ>^a>XV&TN zQ&oGP>grt+_Dw+&5e^Ry001CLONl810ASdlFC+{U=*sA1z8C;N0+1FH{_d`K;SKBl zec}1T%WM>m6jl}>oD7r}Ds-vFR}z+zvJZIEK+_3p)Oxq71h<qu1Gj9fTrJy{LHmZq zMbg`t+hnT|0S6mfV`n(sHMxH4yP3gj2(D=spEe=q*mX22I<oFH<+kZ`)OqytNE?_) 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