Jersey 如何在JAX-RS端点/payara微响应中实施gzip压缩
我在JAX-RS端点中以JSON响应的形式发送大量数据 有没有办法在javax.ws.rs中将“始终压缩”参数设置为端点注释,或者在payara micro级别将其设置为参数,以始终压缩响应 当前状态是端点支持提供数据的未压缩和压缩(例如curl--compressed)方式Jersey 如何在JAX-RS端点/payara微响应中实施gzip压缩,jersey,compression,gzip,payara-micro,Jersey,Compression,Gzip,Payara Micro,我在JAX-RS端点中以JSON响应的形式发送大量数据 有没有办法在javax.ws.rs中将“始终压缩”参数设置为端点注释,或者在payara micro级别将其设置为参数,以始终压缩响应 当前状态是端点支持提供数据的未压缩和压缩(例如curl--compressed)方式 @GET @路径(“/大响应”) @产生(MediaType.APPLICATION_JSON) @ApiOperation(value=“提供有关某些企业的Json信息”) @ApiResponses(值={ @ApiR
@GET
@路径(“/大响应”)
@产生(MediaType.APPLICATION_JSON)
@ApiOperation(value=“提供有关某些企业的Json信息”)
@ApiResponses(值={
@ApiResponse(代码=200,message=“传输成功”),
@ApiResponse(代码=400,message=“错误请求”),
@ApiResponse(代码=500,message=“内部服务器错误”)}
公共void retrieveTheData(){
我希望端点总是用压缩数据(内容编码:gzip)响应
拦截器
import java.io.IOException;
import java.io.OutputStream;
import java.util.zip.Deflater;
import java.util.zip.GZIPOutputStream;
import javax.enterprise.context.Dependent;
import javax.ws.rs.WebApplicationException;
import javax.ws.rs.core.MultivaluedMap;
import javax.ws.rs.ext.Provider;
import javax.ws.rs.ext.WriterInterceptor;
import javax.ws.rs.ext.WriterInterceptorContext;
import hr.abc.leonus.api.gateway.util.Compress;
@Provider
@Compress
public class GZIPWriterInterceptor implements WriterInterceptor {
public static final String CONTENT_ENCODING = "Content-Encoding";
public static final String GZIP = "gzip";
@Override
public void aroundWriteTo(WriterInterceptorContext context)
throws IOException, WebApplicationException {
MultivaluedMap<String, Object> headers = context.getHeaders();
headers.add(CONTENT_ENCODING, GZIP);
final OutputStream outputStream = context.getOutputStream();
GatewayGZIPOutputStream gzipStream = new GatewayGZIPOutputStream(outputStream);
gzipStream.setLevel(Deflater.BEST_SPEED);
context.setOutputStream(gzipStream);
context.proceed();
}
}
class GatewayGZIPOutputStreamextends GZIPOutputStream {
public GatewayGZIPOutputStream(OutputStream out) throws IOException {
super(out);
}
public void setLevel(int level) {
def.setLevel(level);
}
}
您可以通过设置压缩级别来调整GatewayGZIPOutputStreamobject中的压缩级别。我使用最小值来获得最佳速度。
@压缩注释可用于类内每个方法的方法或资源类。如果压缩可以作为注释单独应用于每个JAX-RS端点,则会更好。感谢您的任何建议。该页面上存在类似问题:但不确定是否强制压缩。存在以下问题:因此,在这里实现WriterInterceptor的一种方法是:使用@Compress注释->这可能是一种可行的解决方案
import java.io.IOException;
import java.io.OutputStream;
import java.util.zip.Deflater;
import java.util.zip.GZIPOutputStream;
import javax.enterprise.context.Dependent;
import javax.ws.rs.WebApplicationException;
import javax.ws.rs.core.MultivaluedMap;
import javax.ws.rs.ext.Provider;
import javax.ws.rs.ext.WriterInterceptor;
import javax.ws.rs.ext.WriterInterceptorContext;
import hr.abc.leonus.api.gateway.util.Compress;
@Provider
@Compress
public class GZIPWriterInterceptor implements WriterInterceptor {
public static final String CONTENT_ENCODING = "Content-Encoding";
public static final String GZIP = "gzip";
@Override
public void aroundWriteTo(WriterInterceptorContext context)
throws IOException, WebApplicationException {
MultivaluedMap<String, Object> headers = context.getHeaders();
headers.add(CONTENT_ENCODING, GZIP);
final OutputStream outputStream = context.getOutputStream();
GatewayGZIPOutputStream gzipStream = new GatewayGZIPOutputStream(outputStream);
gzipStream.setLevel(Deflater.BEST_SPEED);
context.setOutputStream(gzipStream);
context.proceed();
}
}
class GatewayGZIPOutputStreamextends GZIPOutputStream {
public GatewayGZIPOutputStream(OutputStream out) throws IOException {
super(out);
}
public void setLevel(int level) {
def.setLevel(level);
}
}
@Compress
@GET
@Path("/big-response")
@Produces(MediaType.APPLICATION_JSON)
@ApiOperation(value = "Provides Json information about some etities")
@ApiResponses(value = {
@ApiResponse(code = 200, message = "Transfer successful"),
@ApiResponse(code = 400, message = "Bad request"),
@ApiResponse(code = 500, message = "Internal server error")})
public void retrieveTheData() {
}