jdbc

来源： https://stackoverflow.com/questions/5720950/do-you-need-to-close-the-connection-you-get-from-jdbc-connection-pool

来源： https://stackoverflow.com/questions/5720950/do-you-need-to-close-the-connection-you-get-from-jdbc-connection-pool

来源： https://stackoverflow.com/questions/980692/set-language-for-oracle-jdbc-thin-client

来源： https://stackoverflow.com/questions/980692/set-language-for-oracle-jdbc-thin-client

问题 I have a custom type defined in my database as CREATE TYPE address AS (ip inet, port int); And a table that uses this type in an array: CREATE TABLE my_table ( addresses address[] NULL ) I have a sample CSV file with the following contents {(10.10.10.1,80),(10.10.10.2,443)} {(10.10.10.3,8080),(10.10.10.4,4040)} And I use the following code snippet to perform my COPY: Class.forName("org.postgresql.Driver"); String input = loadCsvFromFile(); Reader reader = new StringReader(input); Connection

问题 I am new to Spark, and am working on creating a DataFrame from a Postgres database table via JDBC, using spark.read.jdbc . I am a bit confused about the partitioning options, in particular partitionColumn , lowerBound , upperBound , and numPartitions . The documentation seems to indicate that these fields are optional. What happens if I don't provide them? How does Spark know how to partition the queries? How efficient will that be? If I DO specify these options, how do I ensure that the

问题 I am trying to invoke a stored procedure which has default (optional) arguments without passing them and it is not working. Essentially the same problem as described here. My code: SqlParameterSource in = new MapSqlParameterSource() .addValue("ownname", "USER") .addValue("tabname", cachedTableName) .addValue("estimate_percent", 20) .addValue("method_opt", "FOR ALL COLUMNS SIZE 1") .addValue("degree", 0) .addValue("granularity", "AUTO") .addValue("cascade", Boolean.TRUE) .addValue("no

问题 Im working on cognos dashboard embedded using the reference from - Cognos Dashboard embedded. but instead of csv i'm working on JDBC data sources. i'm trying to connect to JDBC data source as - "module": { "xsd": "https://ibm.com/daas/module/1.0/module.xsd", "source": { "id": "StringID", "jdbc": { "jdbcUrl": "jdbcUrl: `jdbc:db2://DATABASE-HOST:50000/YOURDB`", "driverClassName": "com.ibm.db2.jcc.DB2Driver", "schema": "DEFAULTSCHEMA" }, "user": "user_name", "password": "password" }, "table": {

问题 Im working on cognos dashboard embedded using the reference from - Cognos Dashboard embedded. but instead of csv i'm working on JDBC data sources. i'm trying to connect to JDBC data source as - "module": { "xsd": "https://ibm.com/daas/module/1.0/module.xsd", "source": { "id": "StringID", "jdbc": { "jdbcUrl": "jdbcUrl: `jdbc:db2://DATABASE-HOST:50000/YOURDB`", "driverClassName": "com.ibm.db2.jcc.DB2Driver", "schema": "DEFAULTSCHEMA" }, "user": "user_name", "password": "password" }, "table": {

问题 I just upgraded mysql jdbc connection JAR (from mysql-connector-java-5.0.5.jar to mysql-connector-java-8.0.19.jar) and the project started showing error for import statements: import com.mysql.jdbc.PreparedStatement; java: cannot find symbol symbol: class PreparedStatement location: class package.ClassName Where to find the location or package for PreparedStatement in new jar file or is it replaced with any other class in new JAR? 回答1: Try to replace it with: import java.sql.PreparedStatement