### BUGGY CODE ###

# compiled by pythran
"""
#pythran export main2()
import numpy as np
i4 = np.int32
i8 = np.int64


def solve(a, b, H, W):
    ret = np.empty(H, i8)
    for i in range(H):
        ret[i] = -1
    dp0 = np.arange(W)
    dp = np.arange(W)
    arg = 0
    for i in range(H):
        r1 = np.searchsorted(dp, a[i])
        r2 = np.searchsorted(dp, b[i])
        if b[i] == W:
            if r1 == 0:
                return ret
            else:
                dp0 = dp0[: r1]
                dp = dp[: r1]
        else:
            dp[r1:r2] = b[i]
        if r1 <= arg < r2:
            arg = np.argmin(dp - dp0)
        ret[i] = dp[arg] - dp0[arg] + i + 1

        if i % 1000 == 999:
            m = 0
            prev = dp[0]
            for k in range(1, dp.shape[0]):
                if dp[k] > prev:
                    dp0[m] = dp0[k - 1]
                    dp[m] = prev
                    m += 1
                    prev = dp[k]
            else:
                dp0[m] = dp0[dp0.shape[0] - 1]
                dp[m] = prev
                m += 1
            dp0 = dp0[: m]
            dp = dp[: m]
            arg = np.argmin(dp - dp0)
    return ret


def main(in_file):
    stdin = open(in_file)
    H, W = [int(x) for x in stdin.readline().split()]
    a = np.empty(H, i8)
    b = np.empty(H, i8)
    for i in range(H):
        a[i], b[i] = [int(x) for x in stdin.readline().split()]
    a -= 1
    ans = solve(a, b, H, W)
    p = '\n'.join([str(x) for x in ans])
    print(p)


def main2():
    main('/dev/stdin')
"""
import os, sys
p = os.path.dirname(__file__)
pymain = os.path.join(p, "a.out")
if len(sys.argv) == 1:
    import subprocess
    if p == "":
        pymain = "./" + pymain
    subprocess.call(pymain)
else:
    import gzip, base64, stat
    gz = b'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'
    bin = gzip.decompress(base64.b64decode(gz))
    with open(pymain, "wb") as f:
        f.write(bin)
    os.chmod(pymain, 0o775)


### FIXED CODE ###

# compiled by pythran
"""
#pythran export main2()
import numpy as np
i4 = np.int32
i8 = np.int64


def solve(a, b, H, W):
    ret = np.empty(H, i8)
    for i in range(H):
        ret[i] = -1
    dp0 = np.arange(W)
    dp = np.arange(W)
    arg0 = W - 1
    arg = 0
    for i in range(H):
        r1 = np.searchsorted(dp, a[i])
        r2 = np.searchsorted(dp, b[i])
        if b[i] == W:
            if r1 == 0:
                return ret
            else:
                dp0 = dp0[: r1]
                dp = dp[: r1]
        else:
            dp[r1:r2] = b[i]

        if arg0 > -1:
            if r1 <= arg0 < r2:
                for j in range(r1 - 1, -1, -1):
                    if dp[j] == dp0[j]:
                        arg0 = j
                        ret[i] = i + 1
                        break
                else:
                    arg0 = -1
                    arg = np.argmin(dp - dp0)
                    ret[i] = dp[arg] - dp0[arg] + i + 1
            else:
                ret[i] = i + 1
        else:
            if r1 <= arg < r2:
                arg = np.argmin(dp - dp0)
            ret[i] = dp[arg] - dp0[arg] + i + 1

        if i % 1000 == 999:
            m = 0
            prev = dp[0]
            for k in range(1, dp.shape[0]):
                if dp[k] > prev:
                    dp0[m] = dp0[k - 1]
                    dp[m] = prev
                    m += 1
                    prev = dp[k]
            else:
                dp0[m] = dp0[dp0.shape[0] - 1]
                dp[m] = prev
                m += 1
            dp0 = dp0[: m]
            dp = dp[: m]
            if arg0 > -1:
                for j in range(m - 1, -1, -1):
                    if dp[j] == dp0[j]:
                        arg0 = j
                        break
            else:
                arg = np.argmin(dp - dp0)
    return ret


def main(in_file):
    stdin = open(in_file)
    H, W = [int(x) for x in stdin.readline().split()]
    a = np.empty(H, i8)
    b = np.empty(H, i8)
    for i in range(H):
        a[i], b[i] = [int(x) for x in stdin.readline().split()]
    a -= 1
    ans = solve(a, b, H, W)
    p = '\n'.join([str(x) for x in ans])
    print(p)


def main2():
    main('/dev/stdin')
"""
import os, sys
p = os.path.dirname(__file__)
pymain = os.path.join(p, "a.out")
if len(sys.argv) == 1:
    import subprocess
    if p == "":
        pymain = "./" + pymain
    subprocess.call(pymain)
else:
    import gzip, base64, stat
    gz = b'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'
    bin = gzip.decompress(base64.b64decode(gz))
    with open(pymain, "wb") as f:
        f.write(bin)
    os.chmod(pymain, 0o775)