Apache Ignite vs. SQL Server Performance - ignite

We are considering using an In-Memory database (such as Apache Ignite) to deal with performance intense BI-like operations. So as a (very primitive) example, I filled Apache Ignite with 250.000 records from a csv-file (14 columns) and did some group-by operations. Previously, I also used the same data to do some performance-tests with MS SQL-Server.
Interestingly and unexpected, MS SQL-Server need about 0.25 seconds to perform this operations, while it takes 1-2 seconds with Apache Ignite.
1, I always was under the impression that Apache Ignite is not only a good option for distributed computing, but also leads to a performance gain compared to a conventional relational database due to its memory oriented architecture. Is that true? Why is it that slow in my example?
2, Did I use Apache Ignite in a wrong way or are there some additional tuning options that I should use?
Here is the source-code I used in my example:
private static Connection conn = null;
private static Statement stmt = null;
private static ResultSet rs = null;
private static void initialize() throws ClassNotFoundException, SQLException
{
// Register JDBC driver.
Class.forName("org.apache.ignite.IgniteJdbcThinDriver");
// Create database tables.
stmt = conn.createStatement();
// Create table
stmt.executeUpdate("CREATE TABLE PIVOT_TEST (" +
" REGION VARCHAR, COUNTRY VARCHAR, ITEM_TYPE VARCHAR, SALES_CHANNEL VARCHAR, ORDER_PRIORITY VARCHAR, ORDER_DATE VARCHAR, ORDER_ID VARCHAR PRIMARY KEY, "
+ "SHIP_DATE VARCHAR, UNITS_SOLD NUMERIC, UNIT_PRICE NUMERIC, UNIT_COST NUMERIC, TOTAL_REVENUE NUMERIC, TOTAL_COST NUMERIC, TOTAL_PROFIT NUMERIC )");
}
private static void fill() throws ClassNotFoundException, SQLException
{
// Register JDBC driver
Class.forName("org.apache.ignite.IgniteJdbcThinDriver");
// Populate table
PreparedStatement stmt =
conn.prepareStatement("COPY FROM 'LINK_TO_CSV_FILE'" +
"INTO PIVOT_TEST (REGION , COUNTRY , ITEM_TYPE , SALES_CHANNEL , ORDER_PRIORITY , ORDER_DATE , ORDER_ID , SHIP_DATE , UNITS_SOLD , UNIT_PRICE , UNIT_COST , TOTAL_REVENUE , TOTAL_COST , TOTAL_PROFIT ) FORMAT CSV");
stmt.executeUpdate();
stmt = conn.prepareStatement("CREATE INDEX index_name ON PIVOT_TEST(COUNTRY)");
stmt.executeUpdate();
}
private static void getResult() throws ClassNotFoundException, SQLException
{
// Register JDBC driver
Class.forName("org.apache.ignite.IgniteJdbcThinDriver");
// Get data
stmt = conn.createStatement();
rs =
stmt.executeQuery("SELECT AVG(UNIT_PRICE) AS AVG_UNIT_PRICE, MAX(UNITS_SOLD) AS MAX_UNITS_SOLD, SUM(UNIT_COST) AS SUM_UNIT_COST, AVG(TOTAL_REVENUE) AS AVG_TOTAL_REVENUE , AVG(TOTAL_COST) AS AVG_TOTAL_COST, AVG(TOTAL_PROFIT) as AVG_TOTAL_PROFIT FROM PIVOT_TEST GROUP BY COUNTRY;");
retrieveResultSet();
}
private static void retrieveResultSet() throws SQLException
{
while (rs.next())
{
for(int i=0; i<rs.getMetaData().getColumnCount(); i++)
{
rs.getObject(i+1);
}
}
}
public static void main(String[] args) throws SQLException, ClassNotFoundException
{
Ignite ignite = null;
try
{
//--------------------------------CONNECTION-------------------//
IgniteConfiguration configuration = new IgniteConfiguration();
ignite = Ignition.start(configuration);
conn = DriverManager.getConnection("jdbc:ignite:thin://127.0.0.1/");
initialize();
fill();
long endPrepTable = System.currentTimeMillis();
getResult();
long endGetResult = System.currentTimeMillis();
System.out.println("Get Result (s)" + " " + (endGetResult - endPrepTable)*1.0/1000);
}
catch(Exception e)
{
e.printStackTrace();
}
finally
{
ignite.close();
conn.close();
rs.close();
}
}
Thank you for your help!

There are several things to consider when Ignite is compared to a relational database:
Ignite SQL engine is optimized for multi-nodes deployments with the RAM as primary storage. Don't try to compare a single-node Ignite cluster to a relational database that was optimized for such configurations. Have a multi-nodes cluster deployed with a whole copy of data in RAM.
Take into account basic recommendations during data modeling and optimizations like affinity collocation, secondary indexes and others listed here.
Plus, keep in mind that relational databases leverage from local caching techniques and depending on the total data size, and a type of a query can complete some queries even faster than Ignite in a multi-node configuration. For instance, I've seen a SQL server completing a query below in 5 ms while Ignite single node cluster in 8 ms and 4-nodes cluster in 20 ms:
SELECT * FROM Input i JOIN Party pr ON (pr.prt_id) = (i.mbr_id) order by i.input_id offset 0 limit 100
It was expected because the data set size was around 64GB, and SQL Server could cache a lot in local RAM. Plus, the costs for intra-node communication affected the numbers for 4 nodes cluster in comparison to the single node one.
To unleash the power of the distributed in-memory computing, preload more data to your cluster or/and force SQL Server to go to disk by checking more complicated queries like the one below:
SELECT * FROM Input i INNER JOIN Product p ON (i.product_id) = (p.product_id) INNER JOIN Party pr ON (pr.prt_id) = (i.mbr_id) and (pr.session_id=i.session_id) WHERE I.PRODUCT_ID=5 and I.SOURCE_ID=6
In my case, it took 510 seconds for SQL Server in the same configuration and 64GB of data to finish the query (it had to go to disk). Ignite's 4 nodes cluster finished in 32 seconds and 8-nodes cluster completed in 8 seconds.

You could apply the following turning points:
Use the collocated flag[1] :
jdbc:ignite:thin://127.0.0.1;collocated=true
Introduce a variable for rs.getMetaData().getColumnCount():
int count = rs.getMetaData().getColumnCount();
while (rs.next())
{
for(int i=0; i< count; i++)
rs.getObject(i+1);
}
[1] https://apacheignite-sql.readme.io/docs/jdbc-driver#section-parameters
[2] https://apacheignite.readme.io/docs/affinity-collocation#collocate-data-with-data

As with any database, there are many ways to tune and optimise it. And Ignite is designed with different trade-offs than SQL Server -- it's not possible to guarantee that it'll be faster in every case.
Having said that, there is some documentation on improving performance.
Things to consider: quarter of a million records isn't that many. Ignite is optimised to work in a cluster where operations can be parallelised. With a single, "hard" query, you might need to increase queryParallelism otherwise you're going to be limited to a single thread in each node.
Of course you can also do things like EXPLAIN PLAN to make sure it's using the right indexes, etc. As with any optimisation exercise, it's as much an art as a science.

Related

How to compare string data to time

I have data type in string and the time is like 06:00A, 09:00P, etc. I would like to query data from 6am to 12pm, how do I convert the string data to time format and query it in linq to sql?
Use DateTime.ParseExact or DateTime.TryParseExact to convert the string to a date. If you can't guarantee that the string version of your time is always going to be correct, stick to the TryParseExact version.
Once you have it converted to date, query as normal.
Example at: https://dotnetfiddle.net/MDnERt
Edited after response:
If you are using the code as written against EntityFramework then no, this will not work. (Please also note that there is a big difference between Linq To SQL and Entity Framework, but the same concepts apply, to some degree)
ORMs that support LINQ are actually converting your where clauses into an Expression which is then translated by the ORM into SQL. You will get a NotSupported exception, or something similar.
Is there some reason why the table in question is using that time format? Why would you not just use a datetime in the table? There is also the option of using the time datatype in sql server (assuming you are targetting sql server) which is mapped to the TimeSpan type in .net.
You would define your table in Sql server like:
create table log ( data varchar(20), logtime time )
and the LINQ expression would look something like:
from x in Logs
where x.Logtime >= new TimeSpan(6,0,0) && x.Logtime <= new TimeSpan(12,0,0)
select x
Now we are getting into actual design questions, though, which is off topic. :)
I'd suggest writing own parser and represent times as TimeSpan:
TimeSpan? ToTimeSpan(string str)
{
// get A or P at the end
var amPm = str.Last();
int hrs, mins;
try
{
hrs = int.Parse(str.Substring(0, 2));
mins = int.Parse(str.Substring(3, 2));
}
catch
{
return null;
}
switch (amPm)
{
case 'P': hrs += 12; break;
case 'A': break;
default: return null;
}
return new TimeSpan(hrs, mins, 0);
}

Postgres : Unable to pass the list of ids in IN clause in JDBC [duplicate]

What are the best workarounds for using a SQL IN clause with instances of java.sql.PreparedStatement, which is not supported for multiple values due to SQL injection attack security issues: One ? placeholder represents one value, rather than a list of values.
Consider the following SQL statement:
SELECT my_column FROM my_table where search_column IN (?)
Using preparedStatement.setString( 1, "'A', 'B', 'C'" ); is essentially a non-working attempt at a workaround of the reasons for using ? in the first place.
What workarounds are available?
An analysis of the various options available, and the pros and cons of each is available in Jeanne Boyarsky's Batching Select Statements in JDBC entry on JavaRanch Journal.
The suggested options are:
Prepare SELECT my_column FROM my_table WHERE search_column = ?, execute it for each value and UNION the results client-side. Requires only one prepared statement. Slow and painful.
Prepare SELECT my_column FROM my_table WHERE search_column IN (?,?,?) and execute it. Requires one prepared statement per size-of-IN-list. Fast and obvious.
Prepare SELECT my_column FROM my_table WHERE search_column = ? ; SELECT my_column FROM my_table WHERE search_column = ? ; ... and execute it. [Or use UNION ALL in place of those semicolons. --ed] Requires one prepared statement per size-of-IN-list. Stupidly slow, strictly worse than WHERE search_column IN (?,?,?), so I don't know why the blogger even suggested it.
Use a stored procedure to construct the result set.
Prepare N different size-of-IN-list queries; say, with 2, 10, and 50 values. To search for an IN-list with 6 different values, populate the size-10 query so that it looks like SELECT my_column FROM my_table WHERE search_column IN (1,2,3,4,5,6,6,6,6,6). Any decent server will optimize out the duplicate values before running the query.
None of these options are ideal.
The best option if you are using JDBC4 and a server that supports x = ANY(y), is to use PreparedStatement.setArray as described in Boris's anwser.
There doesn't seem to be any way to make setArray work with IN-lists, though.
Sometimes SQL statements are loaded at runtime (e.g., from a properties file) but require a variable number of parameters. In such cases, first define the query:
query=SELECT * FROM table t WHERE t.column IN (?)
Next, load the query. Then determine the number of parameters prior to running it. Once the parameter count is known, run:
sql = any( sql, count );
For example:
/**
* Converts a SQL statement containing exactly one IN clause to an IN clause
* using multiple comma-delimited parameters.
*
* #param sql The SQL statement string with one IN clause.
* #param params The number of parameters the SQL statement requires.
* #return The SQL statement with (?) replaced with multiple parameter
* placeholders.
*/
public static String any(String sql, final int params) {
// Create a comma-delimited list based on the number of parameters.
final StringBuilder sb = new StringBuilder(
String.join(", ", Collections.nCopies(possibleValue.size(), "?")));
// For more than 1 parameter, replace the single parameter with
// multiple parameter placeholders.
if (sb.length() > 1) {
sql = sql.replace("(?)", "(" + sb + ")");
}
// Return the modified comma-delimited list of parameters.
return sql;
}
For certain databases where passing an array via the JDBC 4 specification is unsupported, this method can facilitate transforming the slow = ? into the faster IN (?) clause condition, which can then be expanded by calling the any method.
Solution for PostgreSQL:
final PreparedStatement statement = connection.prepareStatement(
"SELECT my_column FROM my_table where search_column = ANY (?)"
);
final String[] values = getValues();
statement.setArray(1, connection.createArrayOf("text", values));
try (ResultSet rs = statement.executeQuery()) {
while(rs.next()) {
// do some...
}
}
or
final PreparedStatement statement = connection.prepareStatement(
"SELECT my_column FROM my_table " +
"where search_column IN (SELECT * FROM unnest(?))"
);
final String[] values = getValues();
statement.setArray(1, connection.createArrayOf("text", values));
try (ResultSet rs = statement.executeQuery()) {
while(rs.next()) {
// do some...
}
}
No simple way AFAIK.
If the target is to keep statement cache ratio high (i.e to not create a statement per every parameter count), you may do the following:
create a statement with a few (e.g. 10) parameters:
... WHERE A IN (?,?,?,?,?,?,?,?,?,?) ...
Bind all actuall parameters
setString(1,"foo");
setString(2,"bar");
Bind the rest as NULL
setNull(3,Types.VARCHAR)
...
setNull(10,Types.VARCHAR)
NULL never matches anything, so it gets optimized out by the SQL plan builder.
The logic is easy to automate when you pass a List into a DAO function:
while( i < param.size() ) {
ps.setString(i+1,param.get(i));
i++;
}
while( i < MAX_PARAMS ) {
ps.setNull(i+1,Types.VARCHAR);
i++;
}
You can use Collections.nCopies to generate a collection of placeholders and join them using String.join:
List<String> params = getParams();
String placeHolders = String.join(",", Collections.nCopies(params.size(), "?"));
String sql = "select * from your_table where some_column in (" + placeHolders + ")";
try ( Connection connection = getConnection();
PreparedStatement ps = connection.prepareStatement(sql)) {
int i = 1;
for (String param : params) {
ps.setString(i++, param);
}
/*
* Execute query/do stuff
*/
}
An unpleasant work-around, but certainly feasible is to use a nested query. Create a temporary table MYVALUES with a column in it. Insert your list of values into the MYVALUES table. Then execute
select my_column from my_table where search_column in ( SELECT value FROM MYVALUES )
Ugly, but a viable alternative if your list of values is very large.
This technique has the added advantage of potentially better query plans from the optimizer (check a page for multiple values, tablescan only once instead once per value, etc) may save on overhead if your database doesn't cache prepared statements. Your "INSERTS" would need to be done in batch and the MYVALUES table may need to be tweaked to have minimal locking or other high-overhead protections.
Limitations of the in() operator is the root of all evil.
It works for trivial cases, and you can extend it with "automatic generation of the prepared statement" however it is always having its limits.
if you're creating a statement with variable number of parameters, that will make an sql parse overhead at each call
on many platforms, the number of parameters of in() operator are limited
on all platforms, total SQL text size is limited, making impossible for sending down 2000 placeholders for the in params
sending down bind variables of 1000-10k is not possible, as the JDBC driver is having its limitations
The in() approach can be good enough for some cases, but not rocket proof :)
The rocket-proof solution is to pass the arbitrary number of parameters in a separate call (by passing a clob of params, for example), and then have a view (or any other way) to represent them in SQL and use in your where criteria.
A brute-force variant is here http://tkyte.blogspot.hu/2006/06/varying-in-lists.html
However if you can use PL/SQL, this mess can become pretty neat.
function getCustomers(in_customerIdList clob) return sys_refcursor is
begin
aux_in_list.parse(in_customerIdList);
open res for
select *
from customer c,
in_list v
where c.customer_id=v.token;
return res;
end;
Then you can pass arbitrary number of comma separated customer ids in the parameter, and:
will get no parse delay, as the SQL for select is stable
no pipelined functions complexity - it is just one query
the SQL is using a simple join, instead of an IN operator, which is quite fast
after all, it is a good rule of thumb of not hitting the database with any plain select or DML, since it is Oracle, which offers lightyears of more than MySQL or similar simple database engines. PL/SQL allows you to hide the storage model from your application domain model in an effective way.
The trick here is:
we need a call which accepts the long string, and store somewhere where the db session can access to it (e.g. simple package variable, or dbms_session.set_context)
then we need a view which can parse this to rows
and then you have a view which contains the ids you're querying, so all you need is a simple join to the table queried.
The view looks like:
create or replace view in_list
as
select
trim( substr (txt,
instr (txt, ',', 1, level ) + 1,
instr (txt, ',', 1, level+1)
- instr (txt, ',', 1, level) -1 ) ) as token
from (select ','||aux_in_list.getpayload||',' txt from dual)
connect by level <= length(aux_in_list.getpayload)-length(replace(aux_in_list.getpayload,',',''))+1
where aux_in_list.getpayload refers to the original input string.
A possible approach would be to pass pl/sql arrays (supported by Oracle only), however you can't use those in pure SQL, therefore a conversion step is always needed. The conversion can not be done in SQL, so after all, passing a clob with all parameters in string and converting it witin a view is the most efficient solution.
Here's how I solved it in my own application. Ideally, you should use a StringBuilder instead of using + for Strings.
String inParenthesis = "(?";
for(int i = 1;i < myList.size();i++) {
inParenthesis += ", ?";
}
inParenthesis += ")";
try(PreparedStatement statement = SQLite.connection.prepareStatement(
String.format("UPDATE table SET value='WINNER' WHERE startTime=? AND name=? AND traderIdx=? AND someValue IN %s", inParenthesis))) {
int x = 1;
statement.setLong(x++, race.startTime);
statement.setString(x++, race.name);
statement.setInt(x++, traderIdx);
for(String str : race.betFair.winners) {
statement.setString(x++, str);
}
int effected = statement.executeUpdate();
}
Using a variable like x above instead of concrete numbers helps a lot if you decide to change the query at a later time.
I've never tried it, but would .setArray() do what you're looking for?
Update: Evidently not. setArray only seems to work with a java.sql.Array that comes from an ARRAY column that you've retrieved from a previous query, or a subquery with an ARRAY column.
My workaround is:
create or replace type split_tbl as table of varchar(32767);
/
create or replace function split
(
p_list varchar2,
p_del varchar2 := ','
) return split_tbl pipelined
is
l_idx pls_integer;
l_list varchar2(32767) := p_list;
l_value varchar2(32767);
begin
loop
l_idx := instr(l_list,p_del);
if l_idx > 0 then
pipe row(substr(l_list,1,l_idx-1));
l_list := substr(l_list,l_idx+length(p_del));
else
pipe row(l_list);
exit;
end if;
end loop;
return;
end split;
/
Now you can use one variable to obtain some values in a table:
select * from table(split('one,two,three'))
one
two
three
select * from TABLE1 where COL1 in (select * from table(split('value1,value2')))
value1 AAA
value2 BBB
So, the prepared statement could be:
"select * from TABLE where COL in (select * from table(split(?)))"
Regards,
Javier Ibanez
I suppose you could (using basic string manipulation) generate the query string in the PreparedStatement to have a number of ?'s matching the number of items in your list.
Of course if you're doing that you're just a step away from generating a giant chained OR in your query, but without having the right number of ? in the query string, I don't see how else you can work around this.
You could use setArray method as mentioned in this javadoc:
PreparedStatement statement = connection.prepareStatement("Select * from emp where field in (?)");
Array array = statement.getConnection().createArrayOf("VARCHAR", new Object[]{"E1", "E2","E3"});
statement.setArray(1, array);
ResultSet rs = statement.executeQuery();
Here's a complete solution in Java to create the prepared statement for you:
/*usage:
Util u = new Util(500); //500 items per bracket.
String sqlBefore = "select * from myTable where (";
List<Integer> values = new ArrayList<Integer>(Arrays.asList(1,2,4,5));
string sqlAfter = ") and foo = 'bar'";
PreparedStatement ps = u.prepareStatements(sqlBefore, values, sqlAfter, connection, "someId");
*/
import java.sql.Connection;
import java.sql.PreparedStatement;
import java.sql.SQLException;
import java.util.ArrayList;
import java.util.List;
public class Util {
private int numValuesInClause;
public Util(int numValuesInClause) {
super();
this.numValuesInClause = numValuesInClause;
}
public int getNumValuesInClause() {
return numValuesInClause;
}
public void setNumValuesInClause(int numValuesInClause) {
this.numValuesInClause = numValuesInClause;
}
/** Split a given list into a list of lists for the given size of numValuesInClause*/
public List<List<Integer>> splitList(
List<Integer> values) {
List<List<Integer>> newList = new ArrayList<List<Integer>>();
while (values.size() > numValuesInClause) {
List<Integer> sublist = values.subList(0,numValuesInClause);
List<Integer> values2 = values.subList(numValuesInClause, values.size());
values = values2;
newList.add( sublist);
}
newList.add(values);
return newList;
}
/**
* Generates a series of split out in clause statements.
* #param sqlBefore ""select * from dual where ("
* #param values [1,2,3,4,5,6,7,8,9,10]
* #param "sqlAfter ) and id = 5"
* #return "select * from dual where (id in (1,2,3) or id in (4,5,6) or id in (7,8,9) or id in (10)"
*/
public String genInClauseSql(String sqlBefore, List<Integer> values,
String sqlAfter, String identifier)
{
List<List<Integer>> newLists = splitList(values);
String stmt = sqlBefore;
/* now generate the in clause for each list */
int j = 0; /* keep track of list:newLists index */
for (List<Integer> list : newLists) {
stmt = stmt + identifier +" in (";
StringBuilder innerBuilder = new StringBuilder();
for (int i = 0; i < list.size(); i++) {
innerBuilder.append("?,");
}
String inClause = innerBuilder.deleteCharAt(
innerBuilder.length() - 1).toString();
stmt = stmt + inClause;
stmt = stmt + ")";
if (++j < newLists.size()) {
stmt = stmt + " OR ";
}
}
stmt = stmt + sqlAfter;
return stmt;
}
/**
* Method to convert your SQL and a list of ID into a safe prepared
* statements
*
* #throws SQLException
*/
public PreparedStatement prepareStatements(String sqlBefore,
ArrayList<Integer> values, String sqlAfter, Connection c, String identifier)
throws SQLException {
/* First split our potentially big list into lots of lists */
String stmt = genInClauseSql(sqlBefore, values, sqlAfter, identifier);
PreparedStatement ps = c.prepareStatement(stmt);
int i = 1;
for (int val : values)
{
ps.setInt(i++, val);
}
return ps;
}
}
Spring allows passing java.util.Lists to NamedParameterJdbcTemplate , which automates the generation of (?, ?, ?, ..., ?), as appropriate for the number of arguments.
For Oracle, this blog posting discusses the use of oracle.sql.ARRAY (Connection.createArrayOf doesn't work with Oracle). For this you have to modify your SQL statement:
SELECT my_column FROM my_table where search_column IN (select COLUMN_VALUE from table(?))
The oracle table function transforms the passed array into a table like value usable in the IN statement.
try using the instr function?
select my_column from my_table where instr(?, ','||search_column||',') > 0
then
ps.setString(1, ",A,B,C,");
Admittedly this is a bit of a dirty hack, but it does reduce the opportunities for sql injection. Works in oracle anyway.
Sormula supports SQL IN operator by allowing you to supply a java.util.Collection object as a parameter. It creates a prepared statement with a ? for each of the elements the collection. See Example 4 (SQL in example is a comment to clarify what is created but is not used by Sormula).
Generate the query string in the PreparedStatement to have a number of ?'s matching the number of items in your list. Here's an example:
public void myQuery(List<String> items, int other) {
...
String q4in = generateQsForIn(items.size());
String sql = "select * from stuff where foo in ( " + q4in + " ) and bar = ?";
PreparedStatement ps = connection.prepareStatement(sql);
int i = 1;
for (String item : items) {
ps.setString(i++, item);
}
ps.setInt(i++, other);
ResultSet rs = ps.executeQuery();
...
}
private String generateQsForIn(int numQs) {
String items = "";
for (int i = 0; i < numQs; i++) {
if (i != 0) items += ", ";
items += "?";
}
return items;
}
instead of using
SELECT my_column FROM my_table where search_column IN (?)
use the Sql Statement as
select id, name from users where id in (?, ?, ?)
and
preparedStatement.setString( 1, 'A');
preparedStatement.setString( 2,'B');
preparedStatement.setString( 3, 'C');
or use a stored procedure this would be the best solution, since the sql statements will be compiled and stored in DataBase server
I came across a number of limitations related to prepared statement:
The prepared statements are cached only inside the same session (Postgres), so it will really work only with connection pooling
A lot of different prepared statements as proposed by #BalusC may cause the cache to overfill and previously cached statements will be dropped
The query has to be optimized and use indices. Sounds obvious, however e.g. the ANY(ARRAY...) statement proposed by #Boris in one of the top answers cannot use indices and query will be slow despite caching
The prepared statement caches the query plan as well and the actual values of any parameters specified in the statement are unavailable.
Among the proposed solutions I would choose the one that doesn't decrease the query performance and makes the less number of queries. This will be the #4 (batching few queries) from the #Don link or specifying NULL values for unneeded '?' marks as proposed by #Vladimir Dyuzhev
SetArray is the best solution but its not available for many older drivers. The following workaround can be used in java8
String baseQuery ="SELECT my_column FROM my_table where search_column IN (%s)"
String markersString = inputArray.stream().map(e -> "?").collect(joining(","));
String sqlQuery = String.format(baseSQL, markersString);
//Now create Prepared Statement and use loop to Set entries
int index=1;
for (String input : inputArray) {
preparedStatement.setString(index++, input);
}
This solution is better than other ugly while loop solutions where the query string is built by manual iterations
I just worked out a PostgreSQL-specific option for this. It's a bit of a hack, and comes with its own pros and cons and limitations, but it seems to work and isn't limited to a specific development language, platform, or PG driver.
The trick of course is to find a way to pass an arbitrary length collection of values as a single parameter, and have the db recognize it as multiple values. The solution I have working is to construct a delimited string from the values in the collection, pass that string as a single parameter, and use string_to_array() with the requisite casting for PostgreSQL to properly make use of it.
So if you want to search for "foo", "blah", and "abc", you might concatenate them together into a single string as: 'foo,blah,abc'. Here's the straight SQL:
select column from table
where search_column = any (string_to_array('foo,blah,abc', ',')::text[]);
You would obviously change the explicit cast to whatever you wanted your resulting value array to be -- int, text, uuid, etc. And because the function is taking a single string value (or two I suppose, if you want to customize the delimiter as well), you can pass it as a parameter in a prepared statement:
select column from table
where search_column = any (string_to_array($1, ',')::text[]);
This is even flexible enough to support things like LIKE comparisons:
select column from table
where search_column like any (string_to_array('foo%,blah%,abc%', ',')::text[]);
Again, no question it's a hack, but it works and allows you to still use pre-compiled prepared statements that take *ahem* discrete parameters, with the accompanying security and (maybe) performance benefits. Is it advisable and actually performant? Naturally, it depends, as you've got string parsing and possibly casting going on before your query even runs. If you're expecting to send three, five, a few dozen values, sure, it's probably fine. A few thousand? Yeah, maybe not so much. YMMV, limitations and exclusions apply, no warranty express or implied.
But it works.
No one else seems to have suggested using an off-the-shelf query builder yet, like jOOQ or QueryDSL or even Criteria Query that manage dynamic IN lists out of the box, possibly including the management of all edge cases that may arise, such as:
Running into Oracle's maximum of 1000 elements per IN list (irrespective of the number of bind values)
Running into any driver's maximum number of bind values, which I've documented in this answer
Running into cursor cache contention problems because too many distinct SQL strings are "hard parsed" and execution plans cannot be cached anymore (jOOQ and since recently also Hibernate work around this by offering IN list padding)
(Disclaimer: I work for the company behind jOOQ)
Just for completeness: So long as the set of values is not too large, you could also simply string-construct a statement like
... WHERE tab.col = ? OR tab.col = ? OR tab.col = ?
which you could then pass to prepare(), and then use setXXX() in a loop to set all the values. This looks yucky, but many "big" commercial systems routinely do this kind of thing until they hit DB-specific limits, such as 32 KB (I think it is) for statements in Oracle.
Of course you need to ensure that the set will never be unreasonably large, or do error trapping in the event that it is.
Following Adam's idea. Make your prepared statement sort of select my_column from my_table where search_column in (#)
Create a String x and fill it with a number of "?,?,?" depending on your list of values
Then just change the # in the query for your new String x an populate
There are different alternative approaches that we can use for IN clause in PreparedStatement.
Using Single Queries - slowest performance and resource intensive
Using StoredProcedure - Fastest but database specific
Creating dynamic query for PreparedStatement - Good Performance but doesn't get benefit of caching and PreparedStatement is recompiled every time.
Use NULL in PreparedStatement queries - Optimal performance, works great when you know the limit of IN clause arguments. If there is no limit, then you can execute queries in batch.
Sample code snippet is;
int i = 1;
for(; i <=ids.length; i++){
ps.setInt(i, ids[i-1]);
}
//set null for remaining ones
for(; i<=PARAM_SIZE;i++){
ps.setNull(i, java.sql.Types.INTEGER);
}
You can check more details about these alternative approaches here.
For some situations regexp might help.
Here is an example I've checked on Oracle, and it works.
select * from my_table where REGEXP_LIKE (search_column, 'value1|value2')
But there is a number of drawbacks with it:
Any column it applied should be converted to varchar/char, at least implicitly.
Need to be careful with special characters.
It can slow down performance - in my case IN version uses index and range scan, and REGEXP version do full scan.
After examining various solutions in different forums and not finding a good solution, I feel the below hack I came up with, is the easiest to follow and code:
Example: Suppose you have multiple parameters to pass in the 'IN' clause. Just put a dummy String inside the 'IN' clause, say, "PARAM" do denote the list of parameters that will be coming in the place of this dummy String.
select * from TABLE_A where ATTR IN (PARAM);
You can collect all the parameters into a single String variable in your Java code. This can be done as follows:
String param1 = "X";
String param2 = "Y";
String param1 = param1.append(",").append(param2);
You can append all your parameters separated by commas into a single String variable, 'param1', in our case.
After collecting all the parameters into a single String you can just replace the dummy text in your query, i.e., "PARAM" in this case, with the parameter String, i.e., param1. Here is what you need to do:
String query = query.replaceFirst("PARAM",param1); where we have the value of query as
query = "select * from TABLE_A where ATTR IN (PARAM)";
You can now execute your query using the executeQuery() method. Just make sure that you don't have the word "PARAM" in your query anywhere. You can use a combination of special characters and alphabets instead of the word "PARAM" in order to make sure that there is no possibility of such a word coming in the query. Hope you got the solution.
Note: Though this is not a prepared query, it does the work that I wanted my code to do.
Just for completeness and because I did not see anyone else suggest it:
Before implementing any of the complicated suggestions above consider if SQL injection is indeed a problem in your scenario.
In many cases the value provided to IN (...) is a list of ids that have been generated in a way that you can be sure that no injection is possible... (e.g. the results of a previous select some_id from some_table where some_condition.)
If that is the case you might just concatenate this value and not use the services or the prepared statement for it or use them for other parameters of this query.
query="select f1,f2 from t1 where f3=? and f2 in (" + sListOfIds + ");";
PreparedStatement doesn't provide any good way to deal with SQL IN clause. Per http://www.javaranch.com/journal/200510/Journal200510.jsp#a2 "You can't substitute things that are meant to become part of the SQL statement. This is necessary because if the SQL itself can change, the driver can't precompile the statement. It also has the nice side effect of preventing SQL injection attacks." I ended up using following approach:
String query = "SELECT my_column FROM my_table where search_column IN ($searchColumns)";
query = query.replace("$searchColumns", "'A', 'B', 'C'");
Statement stmt = connection.createStatement();
boolean hasResults = stmt.execute(query);
do {
if (hasResults)
return stmt.getResultSet();
hasResults = stmt.getMoreResults();
} while (hasResults || stmt.getUpdateCount() != -1);
OK, so I couldn't remember exactly how (or where) I did this before so I came to stack overflow to quickly find the answer. I was surprised I couldn't.
So, how I got around the IN problem a long time ago was with a statement like this:
where myColumn in ( select regexp_substr(:myList,'[^,]+', 1, level) from dual connect by regexp_substr(:myList, '[^,]+', 1, level) is not null)
set the myList parameter as a comma delimited string: A,B,C,D...
Note: You have to set the parameter twice!
This is not the ideal practice, yet it's simple and works well for me most of the time.
where ? like concat( "%|", TABLE_ID , "|%" )
Then you pass through ? the IDs in this way: |1|,|2|,|3|,...|

pgRouting stopped working after database backup

I have these two tables in postgresql , PATHWAY , and the vertices table that i created using pgr_createTopology, called PATHWAY_VERTICES_PGR. Everything was great until i decided to backup the database to restore it later, now that i have restored it, with the same postgres 9.3.4 x64, postgis 2.1.3 and pgrouting 2.0 versions, nothing has changed but the fact that i have restored it, and now the pgr_dijkstra stopped working, im receiving this error every time i query for pgr_dijkstra:
ERRO: Error computing path: Unknown exception caught!
********** Error **********
ERRO: Error computing path: Unknown exception caught!
SQL state: 38001
but when i search for the error code:
38001 containing_sql_not_permitted
An example of query that was completely fine until the restore:
SELECT seq, id1 AS node, id2 AS edge, cost, geom FROM pgr_dijkstra( ' SELECT r.gid as id, r.source, r.target, st_length(r.geom) as cost,r.geom FROM PATHWAY r' ,956358,734134, false, false ) as di JOIN PATHWAY pt ON di.id2 = pt.gid
I've already tried reinstalling Postgres, deleting and adding the postgis and pgrouting extensions again but the error persists. If you guys have any idea let me know, these postgresql error codes are hard to decipher
This is a memory allocation problem.
Your source and target nodes have high id's and PgRouting tries to allocate the memory based on the highest node id it can find, even if there is only a few edges and nodes in the graph.
Dijkstra, drivingDistance and other functions have the same problem.
IMHO this is a real problem since you can't select a subgraph from a huge graph without renumbering the edges and nodes, which renders unusable the query parameters of these functions.
A simple test case to reproduce the problem : Create a small graph with 1 edge and starting and ending nodes id of 2 000 000 000 and 2 000 000 001. You ll get an error running dijkstra on these two nodes.
Technical analysis follows :
Looking at the C source code (PgRouting v2.0.0), in src\bd_dijkstra\src :
bdsp.c
...
line 271 : computing max node id
for(z=0; z<total_tuples; z++) {
if(edges[z].source<v_min_id) v_min_id=edges[z].source;
if(edges[z].source>v_max_id) v_max_id=edges[z].source;
if(edges[z].target<v_min_id) v_min_id=edges[z].target;
if(edges[z].target>v_max_id) v_max_id=edges[z].target;
then line 315, the v_max_id is used as parameter...
ret = bidirsp_wrapper(edges, total_271tuples, v_max_id + 2, start_vertex, end_vertex,
directed, has_reverse_cost,
path, path_count, &err_msg);
in BiDirDijkstra.cpp
...
line 281, v_max_id + 2 = maxNode
int BiDirDijkstra::bidir_dijkstra(edge_t *edges, unsigned int edge_count, int maxNode, int start_vertex, int end_vertex,
path_element_t **path, int *path_count, char **err_msg)
{
max_node_id = maxNode;
max_edge_id = -1;
// Allocate memory for local storage like cost and parent holder
DBG("calling initall(maxNode=%d)\n", maxNode);
initall(maxNode);
and then line 67, trying to allocate A LOT of memory :
void BiDirDijkstra::initall(int maxNode)
{
int i;
m_vecPath.clear();
DBG("BiDirDijkstra::initall: allocating m_pFParent, m_pRParent maxNode: %d\n", maxNode+1);
m_pFParent = new PARENT_PATH[maxNode + 1];
m_pRParent = new PARENT_PATH[maxNode + 1];
DBG("BiDirDijkstra::initall: allocated m_pFParent, m_pRParent\n");
DBG("BiDirDijkstra::initall: allocating m_pFCost, m_pRCost maxNode: %d\n", maxNode+1);
m_pFCost = new double[maxNode + 1];
m_pRCost = new double[maxNode + 1];
...
Indirectly related to http://pgrouting.974090.n3.nabble.com/pgrouting-dev-PGR-2-Add-some-robustness-to-the-boost-wrappers-td4025087.html

Tuples are not inserted sequentially in database table?

I am trying to insert 10 values of the format "typename_" + i where i is the counter of the loop in a table named roomtype with attributes typename (primary key of SQL type character varying (45)) and samplephoto (it can be NULL and I am not dealing with this for now). What seems strange to me is that the tuples are inserted in different order than the loop counter increments. That is:
typename_1
typename_10
typename_2
typename_3
...
I suppose it's not very important but I can't understand why this is happening. I am using PostgreSQL 9.3.4, pgAdmin III version 1.18.1 and Eclipse Kepler.
The Java code that creates the connection (using JDBC driver) and makes the query is:
import java.sql.*;
import java.util.Random;
public class DBC{
Connection _conn;
public DBC() throws Exception{
try{
Class.forName("org.postgresql.Driver");
}catch(java.lang.ClassNotFoundException e){
java.lang.System.err.print("ClassNotFoundException: Postgres Server JDBC");
java.lang.System.err.println(e.getMessage());
throw new Exception("No JDBC Driver found in Server");
}
try{
_conn = DriverManager.getConnection("jdbc:postgresql://localhost:5432/hotelreservation","user", "0000");
ZipfGenerator p = new ZipfGenerator(new Random(System.currentTimeMillis()));
_conn.setCatalog("jdbcTest");
Statement statement = _conn.createStatement();
String query;
for(int i = 1; i <= 10; i++){
String roomtype_typename = "typename_" + i;
query = "INSERT INTO roomtype VALUES ('" + roomtype_typename + "','" + "NULL" +"')";
System.out.println(i);
statement.execute(query);
}
}catch(SQLException E){
java.lang.System.out.println("SQLException: " + E.getMessage());
java.lang.System.out.println("SQLState: " + E.getSQLState());
java.lang.System.out.println("VendorError: " + E.getErrorCode());
throw E;
}
}
}
But what I get in pgAdmin table is:
This is a misunderstanding. There is no "natural" order in a relational database table. While rows are normally inserted in sequence to the physical file holding a table, a wide range of activities can reshuffle physical order. And queries doing anything more than a basic (non-parallelized) sequential scan may return rows in any opportune order. That's according to standard SQL.
The order you see is arbitrary unless you add ORDER BY to the query.
pgAdmin3 by default orders rows by the primary key (unless specified otherwise). Your column is of type varchar and rows are ordered alphabetically (according to your current locale). All by design, all as it should be.
To sort rows like you seem to be expecting, you could pad some '0' in your text:
...
typename_0009
typename_0010
...
The proper solution would be to have a numeric column with just the number, though.
You may be interested in natural-sort. You may also be interested in a serial column.
i guess, that the output is ordered via alphabet ... if you create typename_1 thru typename_9, everything should be ok. you can also use typename_01 ( filled up with zeros ) to get the correct order.
if you are unsure about that, you can also add a sleep between the insert statements and record the insert-time in the database( as a column )
You are not seeing the order in which PostgreSQL stores the data, but rather the order in which pgadmin displays it.
The edit table feature of pgadmin automatically sorts the data by the primary key by default. that is what you are seeing.
In general, databases store table data in whatever order is convenient. Since you did not intentionally supply an ORDER BY you have no right to care what order it is actually in.

Strategy to alter database synonym during normal production operation

Currently I have a scenario that involves switching a synonym definition after the completion of a scheduled job. The job will create a table with an identifier of even or odd to correspond with the hour being even or odd. What we are currently doing is this:
odd_job:
create foo_odd ...
replace foo_syn as foo_odd
and
even_job:
create foo_even ...
replace foo_syn as foo_even
What is happening is that during normal production the foo_syn is in a locked state. So what we are looking for is a production capable way of swapping synonym definitions.
The question is how can we swap a synonym definition in a production level system with minimum user interruption in Oracle 10g?
From the comments
Does foo_syn have any dependent objects?
No foo_syn is nothing more than a pointer to a table that I generate. That is there are no procedures that need to be recompiled for this switch.
That sounds like a really strange thing to do. Can you explain a bit
what that switch is for/how it is used?
Sure. We have an application that interfaces with the database, the SQL that is executed from Java (business logic queries) has a reference to foo_syn. Because of the dynamic nature of the data it is a guarantee that the hourly swap will give new results that are important as we try to get closer to real time. Prior to this it was a once a day and be happy with it type scenario.
The reasoning for the swap is I do not want dynamic SQL (in terms of table names) to be a part of my application queries. So therefore the database does a switch on the newer data set without changing the name of the synonym that is referenced as part of my application.
If using dynamic SQL is distasteful to you (and I'll quickly point out that in my experience dynamic SQL has never proved to be a performance issue, but YMMV) then a UNION query might be what you're looking for - something like
SELECT *
FROM EVEN_DATA_TABLE
WHERE TO_NUMBER(TO_CHAR(SYSDATE, 'HH')) IN (0, 2, 4, 6, 8, 10, 12)
UNION ALL
SELECT *
FROM ODD_DATA_TABLE
WHERE TO_NUMBER(TO_CHAR(SYSDATE, 'HH')) IN (1, 3, 5, 7, 9, 11)
This also eliminates the need to have a periodic job to change the synonym as it's driven off of SYSDATE.
This makes the assumption that the columns in EVEN_DATA_TABLE and ODD_DATA_TABLE are the same.
Share and enjoy.
The solution that we came up with is as follows:
1) Define a function that will return which set of tables you should be looking at:
create or replace function which_synonym return varchar2 as
to_return varchar2(4) := NULL;
is_valid number :=- 1;
current_time number := to_number(to_char(sysdate,'HH'));
is_odd boolean := FALSE;
BEGIN
if = mod(current_time,2) -- it is an even time slot
then
select success into is_valid
from success_table
where run='EVEN';
else
select success into is_valid
from success_table
where run='ODD';
end if;
if is_valid=0 and is_odd=TRUE
then to_Return ='ODD';
else
to_return='EVEN';
end if;
Return to_return;
END which_synonym;
De Morgan's laws omitted for conciseness.
2) Configure the application procedures to take advantage of this flipping:
a) Tokenize enumerated sql strings with a sequence that you want to match on:
select * from foo_&&&
b) write the function that will replace this sequence:
public String whichSynonym(String sql)
{
if(null==sql || "".equals(sql.trim()))
{
throw new IllegalArgumentException("Cannot process null or empty sql");
}
String oddEven = "";
//removed boilerplate
PreparedStatement statement = conn.prepareStatement("Select which_synonym from dual");
statement.execute();
ResultSet results = statement.getResults();
while(results.next())
{
oddEven=results.getString(1);
}
return sql.replace("&&&",oddEven);
}